Lead AI Engineer

TymblHub

Chennai District

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+
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Job summary

EPAM Systems in Chennai, India is seeking a seasoned Lead AI Engineer to spearhead innovative AI and machine learning initiatives. You will guide the development and rollout of state-of-the-art generative AI applications, owning end-to-end lifecycle from development to production.

This onsite role requires strong leadership and hands-on expertise in Python, ML frameworks, and cloud platforms. You will collaborate with cross-functional teams to deliver AI-powered efficiencies and business

Qualifications

  • 8–13 years IT experience with 8+ years in AI engineering.
  • Demonstrated leadership experience of at least 1 year.
  • Strong Python programming skills.
  • Experience building ETL processes and data pipelines.
  • Proficiency with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on with LLMs and prompt engineering.
  • Familiarity with LangChain, LlamaIndex, Hugging Face.
  • Cloud experience (Azure, AWS, GCP).
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow).
  • API development and production deployment experience.
  • Strong English technical communication.

Responsibilities

  • Construct and launch scalable AI/ML models and GenAI-based solutions into live production environments.
  • Build and maintain ETL pipelines and data workflows.
  • Create applications powered by LLMs using contemporary development frameworks.
  • Apply prompt engineering to improve AI outputs.
  • Deploy models via APIs and integrate with enterprise applications.
  • Own end-to-end lifecycle including development, deployment, monitoring, and refinement.
  • Collaborate with cross-functional teams to align AI solutions with business goals.

Skills

Python programming
ML/DL frameworks
LLM/GenAI frameworks
LangChain/LlamaIndex/Hugging Face
Cloud platforms
MLOps tools
API development
English (tech communication)
ETL/data pipelines
Prompt engineering
Leadership/ownership

Tools

Databricks
PySpark
TensorFlow
PyTorch
Scikit-learn

Job description

# Lead AI EngineerEPAM SystemsPosted on September 5, 2026---Experience8 - 12 yrsJob LocationChennai, IndiaVacancy1DesignationLead Machine Learning EngineerJob TypeONSITE---## Job DescriptionWe're looking for a seasoned Lead AI Engineer to spearhead innovative AI and machine learning initiatives, guiding the development and rollout of state-of-the-art generative AI applications. This position gives you the chance to take charge of driving AI-powered efficiencies and meaningful business results while working alongside varied teams throughout the organization.**Responsibilities*** Construct and launch scalable AI/ML models and GenAI-based solutions into live production environments* Build and sustain dependable ETL pipelines and data workflow processes* Create applications powered by LLMs using contemporary development frameworks* Apply prompt engineering strategies to maximize the quality of AI-generated outputs* Roll out models through APIs and connect them with enterprise-level applications* Take complete ownership across the lifecycle, covering development, deployment, tracking, and refinement* Team up with cross-functional groups to produce AI solutions aligned with business goals**Requirements*** Between 8 and 13 years of broad IT experience* More than 8 years specifically focused on AI Engineering* At least 1 year of relevant experience in a leadership role* Solid programming ability in Python* Direct experience building ETL processes and data pipelines* Strong background in ML/DL frameworks, such as TensorFlow, PyTorch, and Scikit-learn* Working knowledge of prompt engineering practices and hands-on LLM experience* Familiarity with LLM-focused frameworks like LangChain, LlamaIndex, and Hugging Face* Practical experience with cloud platforms such as Azure, AWS, or GCP* Capability using MLOps tooling, including MLflow, Kubeflow, and Airflow* Solid background in API development and deploying models into production* English proficiency at a B2 level or higher, with particular strength in technical communication**Nice to have*** Background working with RAG architectures and vector database technology* Familiarity with real-time or streaming data pipeline design* Exposure to designing scalable systems and microservices-based architecture* Demonstrated skill with Databricks and PySpark* Experience with cloud-based data solutions and ETL pipeline development## Company DetailsEPAM Systems delivers digital transformation and product engineering solutions, addressing complex challenges in diverse industries through innovative technology.
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