Data Engineering Jobs in Bangalore

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:

Software System Engineer

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a Software System Engineer to join our team in Bangalore. This role will focus on the design, development, and validation of system-level software solutions within the IT / Technology industry. Key Responsibilities The Software System Engineer will be responsible for a range of tasks related to system design, analysis, and documentation. This includes participating in requirements, design, and architecture reviews to ensure the quality and integrity of our systems. Required Skills & Qualifications Software System Engineering: Demonstrated ability to apply software system engineering principles to complex systems, ensuring robust and reliable performance. PID Control: Proficiency in the design and implementation of Proportional-Integral-Derivative (PID) control systems for precise control of various parameters. MATLAB: Experience utilizing MATLAB for modeling, simulation, and analysis of control systems. Simulink: Familiarity with Simulink for creating and simulating dynamic systems. Control Design: Ability to design and implement effective control strategies to meet specific performance requirements. Calibration: Experience with calibration techniques to ensure accurate system performance. System-Level Software: Understanding of system-level software development principles and practices. Thermal Print Mechanisms: Knowledge of thermal print mechanisms and their integration into larger systems. Force/Pressure Control: Experience in designing and implementing control systems for force and pressure regulation. High-Speed Media Transport: Understanding of high-speed media transport systems and their control requirements. Motor Torque-Speed Characteristics: Ability to analyze and utilize motor torque-speed characteristics in system design. Requirements Review: Ability to participate in and contribute to thorough requirements review processes. Design Review: Ability to participate in and contribute to thorough design review processes. Architecture Review: Ability to participate in and contribute to thorough architecture review processes. FMEA: Experience with Failure Mode and Effects Analysis ( FMEA ) to identify and mitigate potential system failures. Defect Prevention: Ability to proactively identify and implement measures to prevent defects in system design and implementation. Analytical Skills: Strong analytical skills to effectively analyze complex systems and identify potential issues. Problem-Solving Skills: Excellent problem-solving skills to address and resolve system-related challenges. Technical Documentation: Ability to create clear, concise, and comprehensive technical documentation. Communication Skills: Strong communication skills to effectively convey technical information to both technical and non-technical audiences. Python: Proficiency in Python for scripting, data analysis, and automation. Data Analysis: Ability to perform data analysis to identify trends, patterns, and insights. Sensor Feedback: Experience with utilizing sensor feedback for system control and optimization. Education: Bachelor’s or Master’s degree in Software Engineering, Systems Engineering, Control Engineering, Electrical Engineering, Mechatronics, or a related field. The ideal candidate will possess a strong foundation in engineering principles and a passion for solving complex problems. No prior experience is required. What We Offer Salary is not provided.

CATIA Automation Engineer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and motivated CATIA Automation Engineer to join our team. This role will focus on developing and implementing automation solutions using CATIA V5 Automation to enhance design efficiency and data management processes. The ideal candidate will possess a strong foundation in mechanical engineering principles and a passion for leveraging technology to solve complex problems within a CAD environment. Key Responsibilities The CATIA Automation Engineer will be responsible for the following: Developing and maintaining automation scripts and applications using CATIA V5 Automation , C# , and .NET to streamline design workflows. Utilizing CATIA V5 Automation APIs and the CATIA Object Model to interact with CATPart , CATProduct , and CATDrawing files. Troubleshooting and debugging automation scripts to ensure accuracy and reliability. Collaborating with design engineers to identify opportunities for automation and process improvement. Creating and maintaining documentation for automation scripts and processes. Performing CAD Data Migration and CAD Standardization tasks as needed. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: A Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Computer Science, or a related discipline. 3 - 4 years of experience in a related role, demonstrating a solid understanding of automation principles and CAD software. Proficiency in CATIA V5 Automation , including the ability to develop and implement automation solutions. Strong programming skills in C# and .NET , with a solid understanding of Object-Oriented Programming (OOP) principles. Experience with VBA for automating tasks within CATIA V5 . Familiarity with CAD Geometry concepts, including Points , Lines , Planes , Curves , Surfaces , Vectors , and Coordinate Systems . Knowledge of Transformations and COM / COM Interop . Proficiency in using Visual Studio for development and Debugging . Experience with Windows Forms and WPF for creating user interfaces. Ability to work with data formats such as XML and JSON . Experience with data manipulation using Excel , CSV , and SQL . Strong Analytical Skills and Problem-Solving Skills . Experience with GitHub for version control.

Thermal performance Engineer

RLE India Private Limited•

Pune

•full time

Job Summary SENIOR EXECUTIVE - TARLE TECHNOLOGIES PRIVATE LIMITED is seeking a highly motivated and experienced professional to join our team. This role is within the Automotive industry and requires a strong background in mechanical or automotive engineering principles. We are looking for a candidate with a proven track record of success in managing and executing complex engineering projects. Key Responsibilities The Senior Executive will be responsible for overseeing and contributing to various aspects of project performance engineering, ensuring the successful delivery of projects within the Automotive domain. This includes coordinating efforts across multiple functional teams and providing regular reporting on project status and performance. Required Skills & Qualifications Education: A Bachelor’s or Master’s degree in the Mechanical or Automotive domain is required. Experience: A minimum of 8-12 years of relevant experience is expected. This seniority level requires a candidate capable of independent project management, mentoring junior engineers, and contributing to strategic decision-making. Project Performance Engineering: Demonstrated ability to analyze and improve project performance, identifying and implementing strategies to optimize efficiency and effectiveness. Functional Synthesis: Proficiency in synthesizing information from various functional areas to create a cohesive and integrated approach to problem-solving. Cross-Functional Coordination: Excellent ability to facilitate collaboration and communication across different teams and departments, ensuring alignment and shared goals. Validation Planning: Experience in developing and executing comprehensive validation plans to ensure product quality and reliability. Test-Data Synthesis: Ability to generate and analyze test data to identify potential issues and validate design solutions. Management Reporting: Strong skills in preparing and presenting clear and concise management reports on project status, risks, and performance. Aerothermal Validation: Knowledge and experience in validating aerothermal performance of automotive components and systems. HVAC Testing: Experience in conducting and analyzing HVAC (Heating, Ventilation, and Air Conditioning) testing for automotive applications. Thermal Performance: Understanding of thermal performance principles and their application to automotive design and testing. CAD Review: Ability to review and analyze CAD (Computer-Aided Design) models to identify potential design flaws or areas for improvement. CFD/1D Simulation Review: Experience in reviewing and interpreting results from Computational Fluid Dynamics (CFD) and 1D simulation models. DVP: Familiarity with Design Verification Plan (DVP) processes and methodologies. Vehicle Instrumentation: Knowledge of vehicle instrumentation systems and their role in data acquisition and analysis. Road Trip Testing: Experience in planning and executing road trip testing to evaluate vehicle performance under real-world conditions. Lab Testing: Proficiency in conducting and analyzing lab testing to evaluate component and system performance. Data Analysis: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Scorecard: Experience in developing and utilizing scorecards to track and measure project performance. PLM: Familiarity with Product Lifecycle Management ( PLM ) systems and their role in managing product data and processes. Microsoft Suite: Proficient in using Microsoft Suite applications, including PowerPoint , Excel (including Macro capabilities), and Word . Power BI: Experience using Power BI for data visualization and reporting. Analytical Skills: Demonstrated ability to analyze complex problems and develop effective solutions. Problem-Solving Skills: Strong problem-solving skills with the ability to identify root causes and implement corrective actions. Communication Skills: Excellent written and verbal communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Leadership: Demonstrated leadership skills with the ability to motivate and inspire teams. Networking Abilities: Ability to build and maintain strong relationships with internal and external stakeholders. What We Offer Salary:

Azure Cloud & Data ETL Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced Azure Cloud & Data ETL Developer to join our dynamic IT / Technology team. This is a hybrid role, offering a blend of remote work and in-office collaboration. The ideal candidate will possess a strong background in data engineering, cloud technologies, and ETL/ELT development, with a focus on the Azure ecosystem. Key Responsibilities The Azure Cloud & Data ETL Developer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions within the Azure cloud environment. This includes data ingestion, transformation, and loading processes, ensuring data quality, and adhering to data governance principles. The role also involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Required Skills & Qualifications Azure Data Services: Demonstrated proficiency in utilizing various Azure data services, including Azure Data Factory (ADF) , Azure Databricks , and Azure Synapse Analytics , to build and manage data pipelines. ETL Development: Extensive experience in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) development, including designing and implementing data integration solutions. Hybrid Data Architectures: A strong understanding of hybrid data architectures , enabling seamless data flow between on-premises and cloud environments. Cloud Migration: Experience in migrating data and applications to the Azure cloud platform. Data Engineering: Solid foundation in Data Engineering principles and practices. Data Modeling: Expertise in data modeling techniques, including the design and implementation of star schemas and snowflake schemas . Data Warehousing Concepts: A thorough understanding of data warehousing concepts and best practices. Programming Languages: Proficiency in Python and PySpark for data manipulation and processing. Data Ingestion & Integration: Experience with data ingestion and data integration processes, ensuring data accuracy and consistency. Data Quality & Governance: Knowledge of data quality and data governance principles and practices. DevOps & CI/CD: Experience with DevOps practices, including CI/CD (Continuous Integration/Continuous Delivery) pipelines, utilizing tools like Azure DevOps and GitHub Actions . Agile Methodology: Familiarity with Agile development methodologies. Performance Tuning & Indexing: Ability to perform performance tuning and indexing to optimize data query performance. Data Validation: Experience in implementing data validation processes to ensure data integrity. Azure Data Lake Storage (ADLS): Experience working with Azure Data Lake Storage (ADLS) . Communication Skills: Excellent communication skills , both written and verbal, to effectively collaborate with stakeholders. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data-related issues. Gemini AI: Familiarity with Gemini AI and its applications in data processing. Experience Required: 6 - 10 years of relevant experience in data engineering and cloud development. This level of seniority requires a proven track record of designing and implementing complex data solutions, leading projects, and mentoring junior team members. What We Offer Salary: 18 LPA

CAD Automation Engineer (NX Open)

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and motivated CAD Automation Engineer (NX Open) to join our growing team. This role will focus on developing and implementing automation solutions within our Siemens NX environment, enhancing design efficiency and ensuring design quality. The ideal candidate will possess a strong foundation in mechanical design principles and a passion for leveraging automation to solve complex engineering challenges. Key Responsibilities The CAD Automation Engineer (NX Open) will be responsible for the following: Develop and maintain NX Open applications to automate repetitive tasks and improve design workflows. Create and implement KBE Concepts and Rule-Based Design solutions to standardize design processes and ensure consistency. Design and implement Design Templates to streamline the creation of new parts, assemblies, and drawings. Collaborate with design engineers to identify automation opportunities and develop tailored solutions. Troubleshoot and debug existing automation scripts and applications. Maintain version control of all automation code using Git . Document all automation solutions and provide training to end-users. Required Skills & Qualifications To be considered for this role, candidates must possess the following skills and qualifications: B.E. / B.Tech in Mechanical, Automobile, Production, Mechatronics or a related discipline. 2 - 4 years of experience in a CAD automation role, demonstrating a solid understanding of CAD/CAM/CAE principles. This level of experience indicates a proficiency in independently developing and implementing automation solutions, as well as collaborating effectively within a team. Proficiency in NX Open programming for automating tasks within Siemens NX . Strong programming skills in C#, Python, and VB.NET . Experience with NX Journaling for automating tasks within Siemens NX . Solid understanding of Mechanical Design Concepts , including GD&T and Drawing Standards . Familiarity with Data Structures and OOP Basics . Experience with Sketching , Part Modelling , Assemblies , and Drafting within Siemens NX . Knowledge of PLM systems, specifically Teamcenter . Experience with Excel VBA for automating tasks within Microsoft Excel. Proficient in Scripting techniques. Familiarity with Automotive Components , BIW , Interiors , and Plastics . Understanding of Tooling processes. Excellent Communication Skills for effectively collaborating with cross-functional teams.

SOFTWARE ENGINEER - MCAD/DESIGN AUTOMATION

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking an experienced and skilled Software Engineer - MCAD/Design Automation to join our team on-site. As a Software Engineer, you will be responsible for developing and implementing design automation solutions using CAD software and programming languages. The ideal candidate will have a strong background in mechanical engineering and proficiency in CAD automation, programming languages, and software development principles. The successful candidate will be responsible for designing, developing, and testing software applications that automate design tasks, improve productivity, and enhance overall design quality. This role requires a deep understanding of mechanical engineering principles, CAD software, and programming languages, as well as excellent problem-solving skills and the ability to communicate complex ideas effectively. Key Responsibilities Develop and implement design automation solutions using CAD software and programming languages such as C++, C#, and VB.Net. Customize and automate CAD software using Siemens NX CAD Software and NX Open/UFunc API. Create and maintain software applications that improve productivity and design quality. Collaborate with cross-functional teams to identify design automation opportunities and implement solutions. Develop and maintain data structures and algorithms to support design automation applications. Integrate CAD software with other systems such as PLM Systems, SAP/ECTR, and Database Systems using API Integration. Utilize version control systems such as Team Foundation Server to manage code changes and collaborate with team members. Troubleshoot and resolve technical issues related to design automation applications. Participate in code reviews and contribute to the improvement of the overall quality of the codebase. Required Skills & Qualifications The ideal candidate will have a Bachelor's degree in Mechanical Engineering and 3-5 years of experience in CAD automation and software development. The successful candidate will possess a strong foundation in the following skills: CAD Automation: Experience with automating CAD tasks using programming languages and CAD software. Mechanical Engineering: Knowledge of mechanical engineering principles and practices. Object-Oriented Programming (OOP): Proficiency in OOP concepts and programming languages such as C++, C#, and VB.Net. Design Patterns: Understanding of design patterns and principles. API Integration: Experience with integrating CAD software with other systems using APIs. CAD Customization: Ability to customize CAD software using Siemens NX CAD Software and NX Open/UFunc API. Assembly, Modeling, and Drawing: Knowledge of CAD assembly, modeling, and drawing techniques. Data Structures and Algorithms: Understanding of data structures and algorithms. Cutting Tools and PLM Systems: Familiarity with cutting tools and PLM systems such as SAP/ECTR. Version Control Systems: Experience with version control systems such as Team Foundation Server. Database Systems: Knowledge of database systems and SQL. Analytical Skills, Logical Thinking, and Problem-Solving Skills: Strong analytical, logical thinking, and problem-solving skills. Communication Skills: Excellent communication skills to effectively convey complex ideas. What We Offer As a Software Engineer - MCAD/Design Automation, you will have the opportunity to work on exciting projects, collaborate with cross-functional teams, and develop your skills in a dynamic and innovative environment.