Job
Description
Job Summary: Design and implement ML solutions, architecting scalable and efficient systems. Primary Skills: Strong in Machine Learning Algorithms Data Engineering and ETL/ELT Data cleaning, preprocessing and EDA Feature Engineering, Data Splitting and encoding MLOps (Model versioning, Training, experimenting, deployment and monitoring) Python, Pandas, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Matplotlib, R, Scala, Java, etc. Git, DVC, MLFlow, Kubernetes, Kubeflow, Docker, Containers, CI/CD deployments, Apache Airflow Databricks, Snowflake, Salesforce, SAP, AWS/Azure/GCP Data Cloud Platforms AWS SageMaker, Google AI Platform, Azure Machine Learning Model Design and Optimization, LLMs models (OpenAI, BERT, LLaMA, Gemini etc.) RDBMS, No SQL database, Vector DB, RAG Pipelines AI Agent Frameworks, AI agent authentication and Deployment AI security and compliance, Prompt Engineering Secondary Skills: Cloud computing, Data engineering, DevOps Design and develop AI/ML models and algorithms Responsibilities: Collaborate with data scientists and engineers Ensure scalability and performance of AI/ML systems Requirements: 12-15 years of experience in AI/ML development Strong expertise in AI/ML frameworks and tools Excellent problem-solving and technical skills
