AI/ML Engineer L2 (Ambattur)

Role Overview: You are an experienced AI/ML Engineer L2 (Senior Level) responsible for designing, developing, and deploying scalable machine learning and generative AI solutions. Your role involves hands-on experience in building production-grade AI systems, working with RAG-based architectures, and deploying models in cloud and containerized environments. As an on-site employee based in Chennai (Ambattur), you will closely collaborate with cross-functional teams to deliver high-impact AI solutions. Key Responsibilities: - Design, develop, and optimize AI/ML solutions as a Machine Learning, Deep Learning, or Generative AI Engineer - Build and manage end-to-end machine learning pipelines using Python and industry-standard frameworks - Develop and integrate RAG-based applications using Lang Chain - Deploy, monitor, and maintain AI/ML models on cloud platforms - Containerize applications using Docker for scalable deployments - Collaborate with product, engineering, and business teams to deliver robust AI solutions - Optimize models for performance, scalability, reliability, and production readiness Skills & Qualifications: - Core Domains: Machine Learning / Deep Learning / Generative AI - Frameworks & Libraries: PyTorch or TensorFlow / Keras, RAG-based architectures, Lang Chain - Programming: Python - Data Engineering: Pandas, NumPy - Data Visualization: Matplotlib, Seaborn, Power BI, Tableau - Computer Vision: OpenCV, torchvision, YOLO OR - Natural Language Processing (NLP): spaCy, NLTK - Mathematical Foundations: Linear Algebra, Probability - Development Tools: Jupyter Notebook, VS Code, PyCharm, Google Colab - Version Control: Git - Databases: MySQL, PostgreSQL, MongoDB - Cloud & MLOps: AWS / GCP / Azure Cloud Services (Any One), Containerization: Docker Experience Required: - 56 years of relevant experience in AI/ML engineering Education: - Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field Role Overview: You are an experienced AI/ML Engineer L2 (Senior Level) responsible for designing, developing, and deploying scalable machine learning and generative AI solutions. Your role involves hands-on experience in building production-grade AI systems, working with RAG-based architectures, and deploying models in cloud and containerized environments. As an on-site employee based in Chennai (Ambattur), you will closely collaborate with cross-functional teams to deliver high-impact AI solutions. Key Responsibilities: - Design, develop, and optimize AI/ML solutions as a Machine Learning, Deep Learning, or Generative AI Engineer - Build and manage end-to-end machine learning pipelines using Python and industry-standard frameworks - Develop and integrate RAG-based applications using Lang Chain - Deploy, monitor, and maintain AI/ML models on cloud platforms - Containerize applications using Docker for scalable deployments - Collaborate with product, engineering, and business teams to deliver robust AI solutions - Optimize models for performance, scalability, reliability, and production readiness Skills & Qualifications: - Core Domains: Machine Learning / Deep Learning / Generative AI - Frameworks & Libraries: PyTorch or TensorFlow / Keras, RAG-based architectures, Lang Chain - Programming: Python - Data Engineering: Pandas, NumPy - Data Visualization: Matplotlib, Seaborn, Power BI, Tableau - Computer Vision: OpenCV, torchvision, YOLO OR - Natural Language Processing (NLP): spaCy, NLTK - Mathematical Foundations: Linear Algebra, Probability - Development Tools: Jupyter Notebook, VS Code, PyCharm, Google Colab - Version Control: Git - Databases: MySQL, PostgreSQL, MongoDB - Cloud & MLOps: AWS / GCP / Azure Cloud Services (Any One), Containerization: Docker Experience Required: - 56 years of relevant experience in AI/ML engineering Education: - Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field