Gen AI Lead at Noblesoft Technologies

Job Title: Gen AI Lead Mandatory Skills: Gen AI/Agentic AI /ML JD: 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 SeabornPlotly Streamlit Cloud & MLOps: AWS Sagemaker Azure ML or GCP 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 GCP). 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 Telecom BSS & OSS domain and understanding of fixed mobile IoT & convergence domains and related markets Business Systems (BSS)- Understanding of E2E BSS Solutions across Sales Marketing Finance Product Management Care areas for CSPs. 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. Key Skills Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture Employment Type : Full Time Experience: years Vacancy: 1