Gen AI and Data Scientist

13 hours ago

Bengaluru, Karnataka, India CG-VAK Software & Exports Ltd. Full time

About The Role
We are seeking a highly skilled
Gen AI & Data Science Lead
with strong expertise in
NLP, Generative AI, Machine Learning, and Python
. The ideal candidate will lead AI/ML initiatives, build intelligent solutions using advanced NLP and GenAI models, and drive data science strategy across the organization. This role requires strong technical leadership, hands-on modeling experience, and the ability to guide teams in designing and deploying scalable AI solutions.

Key Responsibilities

  • Lead end-to-end development of Generative AI and NLP solutions, including model design, training, fine-tuning, and deployment.
  • Architect and implement machine learning models, ensuring accuracy, scalability, and performance.
  • Build and maintain pipelines for data processing, model training, inference, and production deployment.
  • Work with large-scale datasets and develop advanced NLP models (LLMs, transformers, embeddings, RAG systems, etc.).
  • Evaluate and integrate modern GenAI frameworks (LangChain, LlamaIndex, HuggingFace, etc.).
  • Collaborate with product, engineering, and business teams to identify AI-driven opportunities and deliver high-impact solutions.
  • Lead and mentor a team of data scientists, ML engineers, and analysts.
  • Stay updated with the latest advancements in LLMs, generative AI, deep learning, and MLOps practices.
  • Conduct POCs, research new AI capabilities, and drive innovation culture across projects.
  • Present insights, model performance, and solution recommendations to leadership and stakeholders.

Mandatory Skills

  • Strong hands-on experience in Natural Language Processing (NLP)
  • Expertise in Generative AI, LLMs, and transformer-based architectures
  • Solid understanding of Machine Learning (ML) algorithms and model lifecycle
  • Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, HuggingFace, Scikit-learn, etc.)
  • Experience building AI models for text generation, summarization, classification, NER, sentiment analysis, and conversational AI
  • Familiarity with cloud platforms (AWS/Azure/GCP) for AI/ML development
  • Strong understanding of data preprocessing, vector databases, embeddings, and RAG frameworks

Preferred / Good-to-Have Skills

  • Experience with MLOps: MLflow, Kubeflow, Airflow, Docker, CI/CD automation
  • Knowledge of big data technologies (Spark, Databricks)
  • Experience deploying AI models in production environments
  • Understanding of data engineering workflows
  • Experience in leading cross-functional teams and managing AI projects

Skills: machine learning,data science,nlp,data,ml

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