Gen AI Led

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 Google Cloud Platform AI Platform; Git, Docker, CI/CD.

Role Activities:

Design, develop, and deploy AI/ML and Generative AI models for enterprise and telecom use cases.

Build and optimize data pipelines for training, validation, and inference processes.

Develop web-based AI applications using frameworks like Flask, FastAPI, or Django.

Implement LLM-based solutions such as chatbots, summarization, and RAG-based systems.

Collaborate with data scientists, solution architects, and business teams to understand functional requirements and translate them into technical implementations.

Participate in proof-of-concept (PoC) development for AI/ML and automation use cases.

Conduct model evaluation, fine-tuning, and performance optimization.

Work with APIs, data sources, and cloud-based ML services (AWS, Azure, Google Cloud Platform).

Follow best practices in MLOps, model versioning, and CI/CD integration.

Prepare technical documentation, training materials, and demo presentations.

Domain Skills Requirements:

At least 10+ years of experience in AI/ML development and Python-based solutions for Telco/Retail Domains

Desired Domain Experienced

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

o Business Systems (BSS)- Understanding of E2E BSS Solutions across Sales, Marketing, Finance, Product Management, Care areas for CSPs.

o Knowledge on data integration for telecom industry B/OSS COTS & Data Models ( Amdocs, NetCracker, CSG etc.)

Preferred Qualifications:

Certification in AI/ML, Deep Learning, or Generative AI is a plus.