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Job Summary We are seeking a highly skilled and motivated Software Engineer (3) - Core Engineer 3 to join our growing team in Chennai. This role will be based onsite and offers a challenging opportunity to contribute to cutting-edge technology projects within the Technology industry. Key Responsibilities The Core Engineer 3 will be responsible for the design, development, and maintenance of robust and scalable software solutions. This role requires a deep understanding of software engineering principles and a commitment to delivering high-quality code. Required Skills & Qualifications Educational Background: A B.E., B.Tech., M.C.A., or equivalent technical degree is required. Experience: A minimum of 5-6 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and debug complex software systems, as well as mentor junior engineers. Programming Languages: Proficiency in Java , Node.js , and TypeScript is essential. Frameworks & Libraries: Strong experience with Spring Boot , React , and a solid understanding of REST APIs and GraphQL . Databases: Demonstrated ability to work with PostgreSQL . Cloud Technologies: Experience with GCP is required. Version Control: Familiarity with GitHub for version control and collaborative development. Microservices Architecture: A strong understanding of Microservices architecture and its implementation. API Integration: Experience with SOAP . Testing & Quality Assurance: Proficient in TDD (Test-Driven Development) and experienced with testing frameworks such as JUnit and Selenium . Security Practices: Knowledge of DevSecOps principles and experience with security tools like SonarQube and Checkmarx . AI & Machine Learning: Familiarity with AI concepts and experience with tools like Claude . Prompt Engineering & RAG: Understanding of Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques. Web Technologies: Solid understanding of HTML5 , CSS3 , and JavaScript . UI/UX: Experience with Responsive UI Design . CI/CD: Experience with CI/CD pipelines and automation. Additional Tools: Familiarity with 42Crunch . Other: Understanding of Dynatrace . What We Offer Salary:
Machine Learning Engineer Job Description Job Summary We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge projects within the IT / Technology industry. Key Responsibilities The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and pipelines. This includes collaborating with cross-functional teams to identify and solve complex business problems using data-driven solutions. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques. Scikit-learn : Proficiency in utilizing Scikit-learn for model building, evaluation, and selection. PyTorch : Experience with PyTorch for deep learning model development and training. TensorFlow : Familiarity with TensorFlow for building and deploying large-scale machine learning models. LLM : Knowledge of Large Language Models (LLMs) and their applications. ETL : Experience with Extract, Transform, Load ( ETL ) processes for data preparation and integration. Big Query : Ability to work with Big Query for data warehousing and querying. Data Flow : Understanding of Data Flow concepts and their application in data processing. Python : Strong programming skills in Python for data analysis, machine learning, and scripting. Airflow : Experience with Airflow for orchestrating and scheduling data pipelines. PySpark : Proficiency in PySpark for distributed data processing and machine learning. SQL : Expertise in SQL for data querying and manipulation. GCS : Familiarity with Google Cloud Storage ( GCS ) for data storage and management. GitHub : Experience using GitHub for version control and collaboration. CI/CD : Knowledge of Continuous Integration and Continuous Deployment ( CI/CD ) practices. Dynatrace : Experience with Dynatrace for application performance monitoring. Analytical Skills : Exceptional analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions. Software Engineering : Solid foundation in software engineering principles and best practices. Design Practices : Understanding of software design patterns and principles. Documentation : Ability to create clear and concise technical documentation. DevOps : Familiarity with DevOps methodologies and tools. Pair Programming : Experience with Pair Programming techniques for collaborative development. TDD : Knowledge of Test-Driven Development ( TDD ) principles. Agile Ceremonies : Experience participating in Agile Ceremonies . PI Planning : Understanding of PI Planning within an Agile framework. Experience Required: 4 - 10 years of relevant experience. We are seeking a candidate with a proven track record of building and deploying machine learning solutions. This level of experience should demonstrate a strong understanding of the entire machine learning lifecycle, from data collection and preparation to model deployment and monitoring. What We Offer Salary:
Job Summary We are seeking three highly skilled and motivated Software Engineers to join our core engineering team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge projects within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The ideal candidate will be a proactive problem-solver with a strong commitment to delivering high-quality, scalable, and maintainable code. Required Skills & Qualifications Core Programming Languages: Demonstrated proficiency in Java and Node.js is essential. The candidate should be comfortable writing clean, efficient, and well-documented code. Frameworks and Technologies: Experience with Spring Boot is required. Familiarity with React is also desirable. Cloud Computing: Experience with GCP is required. API Development: Strong understanding of SOAP/REST APIs and experience designing and implementing them. Testing Methodologies: A solid foundation in various testing methodologies including Unit Testing , Integration Testing , Regression Testing , UAT , and Load Testing . Experience with TDD is a plus. Testing Tools: Proficiency in using testing tools such as JUnit and Selenium . Code Quality and Security: Experience with code quality and security tools like 42Crunch , SonarQube , and Checkmarx . Understanding of DevSecOps principles. Observability and Monitoring: Experience with Monitoring , Alerting , and Observability tools, specifically Dynatrace . Version Control: Proficiency in using GitHub for version control and collaboration. Data Management: Experience with PostgreSQL and GraphQL . Artificial Intelligence: Familiarity with AI concepts, including Prompt Engineering , Retrieval-Augmented Generation , Token Optimization , and Scoped Referencing . CI/CD: Experience with CI/CD pipelines. Education: A B.E. , B.Tech. , M.C.A. , or equivalent technical degree is required. Experience: 5 years of experience is required. The candidate should be a seasoned professional capable of working independently and mentoring junior team members. What We Offer Salary:
Job Summary We are seeking a skilled and motivated Machine Learning Engineering Engineer 2 to join our growing team. This role is ideal for an individual with a strong foundation in machine learning principles and a passion for building and deploying innovative solutions within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass a range of tasks related to the development, implementation, and maintenance of machine learning models and pipelines. The candidate will collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into our existing infrastructure. Required Skills & Qualifications AI/ML: Demonstrated proficiency in Artificial Intelligence and Machine Learning concepts, including model selection, training, evaluation, and deployment. Scikit-learn: Experience utilizing Scikit-learn for various machine learning tasks, including data preprocessing, model selection, and evaluation. PyTorch: Familiarity with PyTorch , a widely used deep learning framework, for building and training complex neural networks. TensorFlow: Experience with TensorFlow , another popular deep learning framework, for developing and deploying machine learning models at scale. LLM: Understanding of Large Language Models ( LLM ) and their applications. ETL: Knowledge of ETL (Extract, Transform, Load) processes for data preparation and integration. Big Query: Experience with BigQuery for querying and analyzing large datasets. Data Flow: Familiarity with Data Flow for building and managing data processing pipelines. Python: Strong programming skills in Python , a versatile language widely used in machine learning. Airflow: Experience with Airflow for orchestrating and scheduling complex data workflows. PySpark: Proficiency in PySpark for distributed data processing and machine learning. SQL: Solid understanding of SQL for data querying and manipulation. GCS: Experience with GCS (Google Cloud Storage) for storing and managing data in the cloud. GitHub: Familiarity with GitHub for version control and collaborative development. CI/CD: Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles and practices. Dynatrace: Experience with Dynatrace for application performance monitoring. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret data and draw meaningful conclusions. Software Engineering: Solid foundation in Software Engineering principles and best practices. Design Practices: Knowledge of software design patterns and principles. Documentation: Ability to create clear and concise technical documentation. DevOps: Understanding of DevOps methodologies and practices. Pair Programming: Experience with Pair Programming techniques for collaborative code development. TDD: Familiarity with TDD (Test-Driven Development) methodologies. Agile: Experience working within an Agile development environment. Education: Bachelor's Degree required. Experience: 1 - 4 years of relevant experience. This level is expected to be a mid-level contributor, capable of working independently and contributing to team goals. What We Offer Salary:
Job Summary We are seeking four highly skilled and motivated Software Engineers to join our team as Premium Engineers 0. This role is ideal for individuals with a strong foundation in software development and a passion for leveraging cutting-edge technologies within the IT / Technology industry. Key Responsibilities No data provided. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Bachelor's Degree : A foundational degree is required. Certification Program : Completion of a relevant certification program is expected. SAP HANA : Demonstrated proficiency in SAP HANA , including data modeling, performance optimization, and database administration. Big Query : Experience utilizing Big Query for data analysis and querying large datasets. SAP ANALYTICS CLOUD : Ability to leverage SAP Analytics Cloud for data visualization and business intelligence reporting. SAP Fiori : Familiarity with SAP Fiori principles and experience in developing user-friendly interfaces. SAP Solman : Understanding of SAP Solman for system lifecycle management and solution delivery. SAP Ariba Sourcing : Knowledge of SAP Ariba Sourcing for procurement and supply chain management. SAP S/4HANA : Strong understanding of SAP S/4HANA architecture and functionality. SAP Materials Management : Experience with SAP Materials Management (MM) modules and processes. MM : Proficiency in MM processes and best practices. FDD : Understanding of Feature-Driven Development ( FDD ) methodologies. TDD : Experience with Test-Driven Development ( TDD ) principles and practices. GCP : Familiarity with GCP (Google Cloud Platform) services and integration. PCF : Knowledge of PCF (Platform-as-a-Cloud) for application deployment and management. ABAP : Proficiency in ABAP programming for SAP development. Encryption : Understanding of data encryption techniques and implementation. Anonymization : Knowledge of data anonymization methods for privacy and security. Analytical Skills : Exceptional analytical skills to interpret data, identify trends, and solve complex problems. Problem-Solving Skills : Strong problem-solving skills to effectively diagnose and resolve technical issues. Communication Skills : Excellent communication skills to clearly and concisely convey technical information to both technical and non-technical audiences. Experience Required: 6 - None . A minimum of six years of experience is expected, demonstrating a consistent track record of success in software engineering roles. This level of experience indicates a high degree of proficiency and the ability to work independently with minimal supervision.
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