AI/ML Engineer L2 (Avadi)

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 will involve hands-on experience in building production-grade AI systems, working with RAG-based architectures, and deploying models in cloud and containerized environments. This on-site position in Chennai (Ambattur) requires close collaboration with cross-functional teams to deliver impactful 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): AWS (S3, RDS, SageMaker, ECS, EC2, EMR, Glue, Lambda), GCP (GCS, GKE, Dataflow, BigQuery, Vertex AI), Azure (ADLS, AKS, Synapse, Azure ML) - Containerization: Docker Experience Required: You should have 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 will involve hands-on experience in building production-grade AI systems, working with RAG-based architectures, and deploying models in cloud and containerized environments. This on-site position in Chennai (Ambattur) requires close collaboration with cross-functional teams to deliver impactful 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): AWS (S3, RDS, SageMaker, ECS, EC2, EMR, Glue, Lambda), GCP (GCS, GKE, Dataflow, BigQuery, Vertex AI), Azure (ADLS, AKS, Synapse, Azure ML) - Containerization: Docker Experience Required: You should have 56 years of relevant experience in AI/ML engineering. Education: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.