Data Engineering Jobs in Chennai

GCP Data Engineer

SACHA Engineering•

Chennai

•Full-time

Job Summary We are seeking a skilled and experienced GCP Data Engineer to join our growing team in Chennai. This role is critical to building and maintaining our data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organization. The ideal candidate will possess a strong foundation in data engineering principles and a proven ability to work with cloud-based technologies, specifically the GCP platform. Key Responsibilities The GCP Data Engineer will be responsible for the following: Designing, building, and maintaining robust and scalable data pipelines using ETL processes. Developing and implementing data quality checks and validation procedures to ensure data accuracy and reliability. Ingesting data from various sources, including APIs and databases, into our GCP environment. Performing Data Mining and Data Analytics to identify trends and insights. Collaborating with cross-functional teams to understand data requirements and deliver effective data solutions. Utilizing Git version control for code management and collaboration. Developing and maintaining RESTful APIs for data access and integration. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in Data Engineering principles and practices. Strong experience with BI Tools for data visualization and reporting. Expertise in SQL for data querying and manipulation. Solid programming skills in Python for data processing and automation. Experience with API Development , including designing and implementing RESTful APIs . Hands-on experience with GCP services for data storage, processing, and analytics. Familiarity with Data Integration techniques and tools. Understanding of Data Quality principles and methodologies. Experience with Data Ingestion from various sources. Proficiency in using Git version control for collaborative code management. Experience Required: 5 - 10 years of relevant experience in data engineering, demonstrating a strong track record of building and maintaining data pipelines and working with cloud technologies. This level of experience indicates a senior-level role requiring independent problem-solving and the ability to mentor junior team members. What We Offer Salary:

Project Management

SACHA Engineering•

Chennai

•Full-time

Project Management Job Description Job Summary We are seeking a skilled and motivated Project Management professional to join our team in Chennai. This role will be instrumental in managing and coordinating various projects within our IT / Technology environment. Key Responsibilities The Project Management role will involve a range of responsibilities focused on ensuring projects are completed efficiently and effectively. This includes utilizing Project Management Tools and Project Management Techniques to plan, execute, and monitor project progress. The successful candidate will be expected to adhere to Industry Standards and contribute to a positive project outcome. Required Skills & Qualifications Project Management Tools: Proficiency in utilizing various Project Management Tools to facilitate project planning, task assignment, and progress tracking. Project Management Techniques: A strong understanding of Project Management Techniques , including but not limited to Agile, Waterfall, or hybrid methodologies, to effectively manage project scope, timelines, and resources. Industry Standards: Familiarity with relevant Industry Standards to ensure project deliverables meet quality and compliance requirements. Automotive-Specific Terminology: A working knowledge of Automotive-Specific Terminology is highly desirable, allowing for effective communication and understanding within the context of our projects. Product Development Lifecycles: Understanding of Product Development Lifecycles to ensure alignment with overall business objectives. Data Analysis Tools: Ability to leverage Data Analysis Tools to extract meaningful insights from project data, identify trends, and inform decision-making. Excel: Advanced proficiency in Excel for data manipulation, analysis, and reporting. VBA: Experience with VBA for automating tasks and enhancing Excel functionality. PowerBI: Ability to create and utilize PowerBI dashboards to visualize project data and communicate key performance indicators. Organizational Skills: Exceptional Organizational Skills to manage multiple tasks, prioritize effectively, and maintain meticulous project documentation. Analytical Skills: Strong Analytical Skills to assess project risks, identify potential issues, and develop effective mitigation strategies. Problem-Solving Skills: Demonstrated Problem-Solving Skills to address challenges proactively and implement creative solutions. Written Communication Skills: Excellent Written Communication Skills to prepare clear and concise project documentation, reports, and correspondence. Verbal Communication Skills: Effective Verbal Communication Skills to communicate project status, updates, and concerns to stakeholders. PowerPoint Skills: Proficiency in PowerPoint to create compelling presentations for project updates and stakeholder meetings. Experience Required: We are seeking candidates with 1 - 5 years of experience in a related field. This level of experience indicates a foundational understanding of project management principles and the ability to contribute effectively to a team. The expectation is that candidates will be able to work independently on assigned tasks and contribute to the overall success of the project. What We Offer Salary: [Salary Information Not Provided]

Python Data Analytics

SACHA Engineering•

Chennai

•Full-time

Job Summary We are seeking a skilled Python Data Analytics professional to join our team in Chennai. This role offers an exciting opportunity to contribute to a dynamic environment within the IT / Technology industry. Key Responsibilities This role will involve a range of responsibilities centered around data analysis and reporting, leveraging Python and related technologies to extract meaningful insights from complex datasets. The successful candidate will be expected to demonstrate a strong ability to translate data into actionable recommendations. Required Skills & Qualifications Python : Proficiency in Python programming is essential, including experience in developing and implementing data analysis scripts and algorithms. Data Analytics : A strong foundation in Data Analytics principles and techniques, with the ability to apply these to real-world business problems. Big Data Query : Experience with Big Data Query techniques and tools to efficiently process and analyze large datasets. GCP : Familiarity with GCP (Google Cloud Platform) for data storage, processing, and analysis. Github : Experience using Github for version control and collaborative development. Pandas : Expertise in using Pandas for data manipulation and analysis. NumPy : Proficiency in utilizing NumPy for numerical computations and array processing. SciPy : Knowledge of SciPy for scientific computing and statistical analysis. Dask : Experience with Dask for parallel computing and scaling data analysis tasks. Hadoop : Understanding of Hadoop ecosystem for distributed data storage and processing. Hive : Experience with Hive for querying and analyzing data stored in Hadoop . Spark : Proficiency in using Spark for fast and scalable data processing. Data Retrieval : Ability to retrieve data from various sources and formats. Data Processing : Strong skills in data cleaning, transformation, and preparation for analysis. RESTful Web APIs : Understanding of RESTful Web APIs for data integration and exchange. Data Sources : Ability to connect to and extract data from diverse Data Sources . Windows & Linux : Comfortable working in both Windows and Linux environments. Written Communication Skills : Excellent Written Communication Skills for creating clear and concise reports and documentation. Verbal Communication Skills : Strong Verbal Communication Skills for presenting findings and collaborating with stakeholders. Organizational Skills : Demonstrated Organizational Skills for managing multiple tasks and priorities effectively. Attention to Detail : A meticulous Attention to Detail to ensure data accuracy and integrity. Multi-tasking Skills : Ability to effectively manage and prioritize multiple tasks simultaneously. Reporting Tools : Experience with various Reporting Tools for creating insightful visualizations and dashboards. Metrics : Understanding of key performance indicators ( Metrics ) and their application in data analysis. Visualizations : Ability to create compelling Visualizations to communicate data insights effectively. Software Traceability : Knowledge of Software Traceability principles and practices. Documentation : Ability to create comprehensive and accurate Documentation for data analysis processes and results. Experience Required: The ideal candidate will possess 4 - 8 years of relevant experience in a data analytics role, demonstrating a proven ability to deliver impactful insights and solve complex business problems. This level of experience indicates a level of seniority requiring independent work and mentorship capabilities. What We Offer Salary:

Product Owner

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Product Owner to join our dynamic team. This is a hybrid role requiring a blend of in-office collaboration and remote work flexibility. The ideal candidate will possess a strong understanding of the IT / Technology industry and a proven ability to manage product development from conception to delivery. Key Responsibilities The Product Owner will be responsible for defining and prioritizing product features, ensuring alignment with business goals, and driving the development process. This includes managing the product backlog , collaborating with stakeholders, and ensuring the delivery of high-quality solutions. Required Skills & Qualifications Stakeholder Management Skills: Ability to effectively communicate and collaborate with diverse stakeholders, including business users, development teams, and leadership, to gather requirements and ensure alignment on product vision. Agile Methodologies: Demonstrated proficiency in Agile development practices, including Scrum and Kanban , to facilitate iterative development and continuous improvement. User Story Creation: Ability to translate business requirements into clear and concise user stories that accurately reflect user needs and acceptance criteria. Backlog Prioritization: Skill in prioritizing the product backlog based on business value, urgency, and dependencies, ensuring the most important features are delivered first. Sprint Delivery: Experience in managing sprint planning, execution, and review, ensuring timely and efficient delivery of product increments. Requirements Analysis: Ability to conduct thorough requirements analysis to identify and document business needs, ensuring a clear understanding of the problem being solved. Documentation: Proficient in creating and maintaining comprehensive product documentation, including requirements specifications, user manuals, and training materials. Validation & UAT Support: Experience in supporting product validation and UAT (User Acceptance Testing) processes to ensure product quality and user satisfaction. Shipping Domain & Vessel Operations: A strong understanding of the shipping domain , including vessel scheduling , network planning , and voyage planning . Service Creation & Berth Planning: Experience in service creation and berth planning within a shipping or logistics environment. Port Rotation Planning & ETA/ETD Planning: Ability to plan port rotations and accurately forecast ETA/ETD (Estimated Time of Arrival/Departure) schedules. Port Cut-Offs & Transit Time Calculation: Knowledge of port cut-offs and the ability to accurately calculate transit times . Schedule Versioning & Disruption Handling: Experience in managing schedule versioning and effectively handling disruption scenarios. Schedule Publication Workflows: Familiarity with schedule publication workflows and ensuring timely and accurate dissemination of schedule information. Technical Skills: Proficiency in SQL for data retrieval and analysis, with a solid database understanding . Collaboration Tools: Experience using JIRA and Confluence for project management and knowledge sharing. Productivity Tools: Proficient in using MS Word for documentation and reporting. Freight Forwarding & Intermodal Transport: Understanding of freight forwarding and intermodal transport processes. Shipping Documentation & Customs Regulations: Knowledge of shipping documentation and customs regulations . Cargo Handling: Familiarity with cargo handling procedures. Wireframes & Axure Prototyping Tools: Ability to create wireframes and utilize Axure Prototyping Tools for user interface design. FIGMA & PowerDesigner: Experience with FIGMA and PowerDesigner for design and modeling. PowerDesigner Viewer & LDM: Familiarity with PowerDesigner Viewer and LDM (Logical Data Model). Product Owner: Demonstrated experience and understanding of the Product Owner role and responsibilities. Experience Required: The ideal candidate will possess a minimum of 8-15 years of relevant experience in product management or a related field. This level of experience indicates a strong foundation in product development principles and the ability to lead and influence cross-functional teams. What We Offer Salary: 35 LPA

Quality Data Analyst – Electrical Hardware Engineering, Warranty Analytics | KPI Automation | Design Assessment | AI Adoption

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our team. This role will focus on leveraging data analysis and advanced techniques to support our Electrical Hardware Engineering, Warranty Analytics, KPI Automation, Design Assessment, and AI Adoption initiatives within the Automotive / Technology industry. The ideal candidate will possess a strong analytical background and a passion for driving data-driven decisions. Key Responsibilities This role will be responsible for a range of tasks including data analysis, visualization, and reporting to support quality initiatives. The candidate will be expected to identify trends, anomalies, and opportunities for improvement within warranty data, cost trends, and design performance. They will also be involved in the automation of KPI reporting and the implementation of AI -assisted analytics to enhance predictive quality and drive corrective action management . Required Skills & Qualifications Data Analysis: Demonstrated ability to extract, clean, and analyze large datasets to identify meaningful insights and trends. Data Visualization: Proficiency in creating compelling and informative data visualizations using tools such as Power BI and Excel Analytics to communicate complex information effectively. Dashboarding & KPI Reporting: Experience in designing and developing interactive dashboards and automated KPI reports to track key performance indicators and monitor quality metrics. Data Storytelling: Ability to translate data insights into clear and concise narratives that resonate with stakeholders and drive informed decision-making. SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis. Python: Experience using Python for data analysis, scripting, and automation. Databricks: Familiarity with Databricks for data processing and analytics. Power Automate: Experience with Power Automate for workflow automation and data integration. Warranty Data Analytics: Expertise in analyzing warranty data to identify root causes of failures, predict future trends, and optimize product designs. Cost Trend Analysis: Ability to analyze cost trends to identify areas for cost reduction and process improvement. KPI Automation: Experience in automating KPI reporting and data collection processes. Multi-Source Data Integration: Ability to integrate data from multiple sources to create a comprehensive view of quality performance. AI-Assisted Analytics: Experience leveraging AI and Generative AI techniques to enhance data analysis and predictive modeling. Predictive Quality: Ability to apply statistical methods and machine learning algorithms to predict product quality and identify potential issues proactively. Anomaly Detection: Experience in identifying and investigating anomalies in data to uncover potential quality problems. Root Cause Analysis: Expertise in conducting root cause analysis to identify the underlying causes of quality issues. Corrective Action Management: Ability to develop and implement corrective action plans to address quality issues and prevent recurrence. DFMEA, DRBFM, APQP: Familiarity with DFMEA , DRBFM , and APQP methodologies for design and process improvement. Statistical Tools: Proficiency in using various statistical tools for data analysis and quality control. Structured Problem Solving: Ability to apply structured problem-solving techniques to identify and resolve quality issues. Process Optimization: Experience in identifying and implementing process optimization initiatives to improve quality and efficiency. Lean & Six Sigma: Knowledge of Lean and Six Sigma principles for continuous improvement. Quality Tools: Familiarity with various quality tools and techniques for data analysis and problem-solving. Issue Management: Ability to effectively manage and track quality issues to resolution. Warranty Management: Experience in managing warranty claims and analyzing warranty data. Field Quality Analysis: Ability to analyze field quality data to identify trends and patterns. Design Assessment: Ability to conduct design assessments to identify potential quality risks and improve product designs. Design Integrity: Understanding of design integrity principles and their impact on product quality. Design Robustness: Ability to evaluate and improve the design robustness of products. Lessons Learned Deployment: Ability to capture and deploy lessons learned from quality issues to prevent recurrence. Analytical Skills: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Problem-Solving Skills: Excellent problem-solving skills with the ability to identify and resolve complex quality issues. Data Interpretation Skills: Ability to accurately interpret data and translate it into actionable insights. Communication Skills: Excellent communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Stakeholder Management: Ability to build and maintain relationships with key stakeholders . Leadership-Ready Presentation Skills: Ability to deliver compelling and persuasive presentations to senior management. Qualifications: Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. What We Offer Experience Required: 5 - 10 years of relevant experience. Salary:

Quality Data Analyst – Electrical Hardware EngineeringWarranty Analytics | KPI Automation | Design Assessment | AI Adoption

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our Electrical Hardware Engineering team. This role will focus on Warranty Analytics, KPI Automation, Design Assessment, and the adoption of AI within our quality processes. The ideal candidate will possess a strong analytical background and a passion for leveraging data to drive improvements in product quality and operational efficiency. This is an onsite position. Key Responsibilities The Quality Data Analyst will be responsible for a range of tasks including: Performing Data Analysis to identify trends and patterns in warranty data, product performance, and manufacturing processes. Developing and maintaining KPI Reporting dashboards to track key quality metrics and provide actionable insights to stakeholders. Automating KPI generation and reporting processes to improve efficiency and accuracy. Conducting Root-Cause Analysis of quality issues and collaborating with engineering teams to implement effective Corrective Action Management plans. Utilizing Data Mining techniques to uncover hidden patterns and insights within large datasets. Applying Statistical Analysis methods to evaluate product performance and identify areas for improvement. Leveraging AI-Assisted Analytics and Generative AI to enhance data analysis capabilities and identify potential quality risks. Implementing Process Optimization strategies to streamline quality control processes and improve overall efficiency. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: A Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. 5-10 years of experience in a data analysis role, preferably within the automotive or technology industry. This level of experience indicates a proven ability to independently manage complex data analysis projects and deliver impactful insights. Data Analysis : A strong foundation in data analysis techniques, including data cleaning, transformation, and exploration. Data Visualization : Proficiency in creating compelling and informative data visualizations to communicate insights effectively. Dashboarding : Experience in designing and developing interactive dashboards using tools such as Power BI . KPI Reporting : Ability to define, track, and report on key performance indicators ( KPIs ) to measure quality performance. Data Storytelling : Skill in translating complex data into clear and concise narratives that resonate with stakeholders. Quality Tools : Familiarity with various quality tools and methodologies, such as Lean and Six Sigma . Issue Management : Experience in identifying, tracking, and resolving quality issues in a timely and effective manner. Root-Cause Analysis : Ability to conduct thorough root-cause analyses to identify the underlying causes of quality problems. Corrective Action Management : Experience in developing and implementing corrective action plans to prevent recurrence of quality issues. Process Optimization : Ability to identify and implement process improvements to enhance quality control processes. Power BI : Proficiency in using Power BI to create interactive dashboards and reports. Excel Analytics : Advanced skills in Excel for data analysis and reporting. SQL : Strong proficiency in SQL for querying and manipulating data. Python : Experience using Python for data analysis and automation. Databricks : Familiarity with Databricks for big data processing and analysis. Power Automate : Experience using Power Automate for automating data-related tasks. Warranty Data Analytics : Experience analyzing warranty data to identify trends and patterns. Cost Trend Analysis : Ability to analyze cost trends to identify opportunities for cost savings. KPI Automation : Experience automating KPI generation and reporting processes. Multi-Source Data Integration : Ability to integrate data from multiple sources into a unified view. AI-Assisted Analytics : Experience leveraging AI to enhance data analysis capabilities. Predictive Quality : Ability to use data to predict potential quality issues. Anomaly Detection : Skill in identifying unusual patterns or outliers in data. Generative AI : Familiarity with Generative AI techniques for data analysis and insights. Process Automation : Experience automating manual processes to improve efficiency. Data Mining : Ability to extract valuable insights from large datasets. Statistical Analysis : Proficiency in applying statistical methods to analyze data. Quality Metrics : Understanding of key quality metrics and their application. Data Definitions : Ability to define clear and consistent data definitions. What We Offer We offer a competitive salary of .

Platform Engineering Engineer 3

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Platform Engineering Engineer 3 to join our growing team. This role will be instrumental in building and maintaining our platform, ensuring its reliability, scalability, and security. The ideal candidate will possess a strong understanding of cloud technologies, infrastructure automation, and distributed systems. This is a hybrid role. Key Responsibilities The Platform Engineering Engineer 3 will be responsible for designing, building, and maintaining robust and scalable platform infrastructure. This includes automating infrastructure deployments, monitoring system performance, and troubleshooting issues to ensure high availability and optimal performance. The role requires a proactive approach to identifying and resolving potential problems before they impact users. Required Skills & Qualifications Programming Languages: Proficiency in Java , Python , and Go is essential. Experience with Bash scripting for automation and system administration tasks is also required. Cloud Platforms: Demonstrated experience with cloud platforms including AWS , GCP , and Azure . Containerization & Orchestration: Strong understanding and practical experience with Docker and Kubernetes for containerization and orchestration. Monitoring & Observability: Expertise in using monitoring and observability tools such a Prometheus , Grafana , ELK , OpenSearch , Datadog , OpenTelemetry , Jaeger , and Zipkin . Networking Fundamentals: Solid understanding of networking concepts including DNS , LB , TCP/IP , VPC/subnet design , and Security groups . Security & Compliance: Experience with IAM , Secrets Management using tools like Vault and KMS , and implementing Patching and Vuln Scanning procedures. Platform Reliability & Performance: A focus on Platform Availability and a proven ability to perform Runtime Performance Tuning . Infrastructure Automation: Expertise in Infrastructure as Code ( IaC ) principles and tools. Continuous Integration & Continuous Delivery: Experience with CI/CD pipelines and automation. Cloud Architecture: Ability to design and implement Cloud Architecture solutions. Site Reliability Engineering (SRE): Familiarity with SRE principles and practices. Runtime Optimization: Ability to perform Runtime Optimization for distributed systems. Distributed Systems: Experience with Distributed Backend Systems . AI-augmented Platform Operations: Experience with AI-augmented Platform Operations . Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to quickly identify and resolve issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. Any Degree is required. 6 - None years of experience are required. This indicates a mid-level seniority with expectations of independent work and mentorship of junior team members. What We Offer We offer a competitive compensation package.

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary: