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Principal Data Scientist - Artificial Intelligence/Machine Learning

14 - 16 years

0 Lacs

Greater Chennai Area

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

data learning ai logistics pricing manufacturing planning ml leadership technology design python tensorflow pytorch openai preprocessing model training fastapi flask inference integration development aws azure gcp deployment agile management devops ip engagement consulting engineering drive visual storytelling support enablement vision communication mlflow airflow visualization power certifications

Work Mode

On-site

Job Type

Full Time

Job Description

Principal Data Scientist
Experience : 14-16 years

Job Summary

We are seeking a highly experienced AI Lead - Principal Data Scientist to spearhead the delivery of multiple AI and machine learning projects across industries such as supply chain, logistics, pricing, manufacturing, and workforce planning. This role combines deep hands-on expertise in AI/ML/Gen AI (50%) with strategic leadership and cross-functional stakeholder management.
You will lead enterprise AI solutions from concept to production, architect scalable cloud-native platforms, and collaborate with business and technology teams to deliver measurable business outcomes.

Key Responsibilities

Technical Leadership & Solutioning :
  • Design, build, and deploy advanced AI, machine learning, deep learning, and Gen AI solutions using Python, Scikit-learn, TensorFlow/PyTorch, and LangChain/OpenAI APIs.
  • Architect and implement end-to-end AI systems including data ingestion, preprocessing, model training, validation, and deployment.
  • Develop modular, reusable components and APIs (FastAPI/Flask) for inference and integration with digital applications.
  • Lead cloud-native development on AWS, Azure, or GCP for scalable deployment of AI models and pipelines.

Project & Delivery Ownership

  • Manage the delivery of multiple concurrent AI/ML/Gen AI initiatives, ensuring quality, timeliness, and business alignment.
  • Define technical roadmap, sprint plans, and milestone goals; track delivery KPIs and model performance in production.
  • Guide agile teams through best practices in model lifecycle management, DevOps/MLOps, and reusable IP development.
Business Engagement & Techno-Functional Consulting
  • Act as the techno-functional bridge between business and engineering teams to translate high-level problems into AI/ML use cases.
  • Conduct business value assessments, requirement workshops, and stakeholder reviews.
  • Drive adoption by presenting explainable AI results using visual storytelling and decision support tools.

Team Enablement & Innovation

  • Mentor and upskill junior data scientists and engineers in best practices, new AI trends, and real-world problem-solving.
  • Stay current with the latest trends in Generative AI, LLMs, Vision AI, and responsible AI practices.
  • Contribute to internal frameworks, accelerators, and reusable artifacts for faster go-to-market.

Required Skills & Qualifications

  • Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related quantitative field.
  • 10-13 years of experience in delivering AI/ML solutions at scale with at least 5 years in a lead or principal role.
  • Hands-on expertise in Python, ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) and Generative AI (OpenAI, Llama, LangChain).
  • Strong cloud development experience with AWS, GCP, or Azure, including AI/ML services and containerized deployments.
  • Experience deploying models in production via APIs and integrating with enterprise applications.
  • Excellent communication, stakeholder management, and problem-solving skills.

Preferred Qualifications

  • Experience in Generative AI (LLMs, prompt engineering, RAG pipelines).
  • Familiarity with MLOps tools (MLflow, Airflow, DVC, Kubeflow).
  • Working knowledge of data engineering workflows, feature stores, and streaming/batch data pipelines.
  • Exposure to data visualization tools like Streamlit, Dash, or Power BI for presenting insights.
  • Certifications in cloud (AWS/GCP/Azure), AI/ML, or data science.
(ref:hirist.tech)

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ResourceTree Global Services Pvt Ltd
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