TC
Gen AI Lead
TechDigital Corporation
🇺🇸 United States
On-site
Staff / Principal
10 months ago
- AI
- AI/ML
- Machine Learning
- Python
- MLOps
- Data Visualization
- CI/CD
- Git
- Tableau
- Power BI
- SQL
- MySQL
- PostgreSQL
- Trino
- ETL
- Databricks
- PySpark
- Scala
- SAS
- RAG
- MCP
- Large Language Models
- LangChain
- LangGraph
- Hugging Face
- TensorFlow
- PyTorch
- AWS
- MLflow
- Docker
- Kubernetes
- OpenCV
- Azure
- scikit-learn
- FastAPI
- Flask
- Django
- Pandas
- NumPy
- Polars
- SciPy
- Matplotlib
- Seaborn
- Plotly
- Streamlit
- AWS SageMaker
- Azure ML
- GCP
- IoT
10 months ago
Mandatory Skills: Gen AI/Agentic AI /ML
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.
- Design, develop, and deployAI/ML and Generative AI models for enterprise and telecom use cases.
- Build and optimizedata pipelines for training, validation, and inference processes.
- Developweb-based AI applications using frameworks like Flask, FastAPI, or Django.
- ImplementLLM-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 inproof-of-concept (PoC) development for AI/ML and automation use cases.
- Conductmodel evaluation, fine-tuning, and performance optimization.
- Work with APIs, data sources, and cloud-based ML services (AWS, Azure, GCP).
- Follow best practices inMLOps, 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.)
- Certification inAI/ML, Deep Learning, or Generative AIis a plus.
Gen AI Lead · TechDigital Corporation