Gen AI Lead- Visa Independent

JOB DESCRIPTION :

Keywords : AI / ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering

Role Overview :

Sr AI / ML Lead with around 15+ years of hands-on experience in developing and implementing Machine Learning and Generative AI solutions. The role involves designing, developing, and deploying end-to-end AI / ML applications using Python, popular ML frameworks, and modern web technologies.

TECHNICAL SKILLS : Must Have Skills

• Machine learning development lifecycle - (Data preparation, Data visualization, Statistical Analysis, feature engineering, Predictive modeling, Model deployment, Model monitoring), CI / CD, MLOps, Generative
• AI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A / B testing, Git Actions, Tableau, Power BI, ThoughtSpot, Web Scraping
• Data & Engineering SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data pipelines, Databricks and distributed computing.
• Programming Languages : SQL, Pyspark, Scala, R, Python, SAS
• Gen AI & Agents Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language Models (LLMs),LangChain, LangGraph, Explainable AI, Conversational AI, Chat bots and Tuning, LLM Evaluations and Cost monitoring, HuggingFace
• Tools / Framework : Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib, Seaborn,Plotly, Streamlit
• Cloud & MLOps : AWS Sagemaker, Azure ML, or GCP AI Platform; Git, Docker, CI / CD.

Role Activities :

Domain Skills Requirements :

Telecom BSS & OSS domain and understanding of fixed, mobile, IoT & convergence domains and related markets

Preferred Qualifications :