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Job Type

Full Time

Job Description

Role: Lead - Generative AI/ Maching Learning/ Artificial Intelligence

Experience: 5 - 10 years

Job Location: Chennai


About OJ Commerce

 

OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. 


We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. 


a million SKUs



As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. 


Job Summary:

Lead Engineer


Key Responsibilities:


  • Lead and mentor a team of AI/ML engineers and researchers.
  • Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers).
  • Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment.
  • Work with large-scale datasets to develop, fine-tune, and evaluate models.
  • Collaborate with product, design, and engineering teams to integrate AI capabilities into applications.
  • Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable.
  • Conduct technical reviews and provide guidance on best practices in AI model development.
  • Ensure ethical, secure, and responsible AI development.


Must-Have Skills & Experience:


  • 5–10 years

     of hands-on experience in AI/ML, including leadership responsibilities.
  • Strong understanding of 

    deep learning

    NLP

    computer vision

    , or 

    generative models

    .
  • Proven experience with 

    Generative AI

     frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers).
  • Proficient in ML libraries and tools such as 

    TensorFlow

    PyTorch

    scikit-learn

    Keras

    , etc.
  • Solid programming skills in 

    Python

    ; experience with other languages like 

    Java

    C++

    , or 

    Go

     is a plus.
  • Familiarity with 

    cloud platforms

     (AWS, GCP, Azure) and 

    MLOps

     practices.
  • Experience deploying models in production environments (APIs, microservices, containers).
  • Strong problem-solving, communication, and analytical skills.


Nice-to-Have:


  • Research contributions or publications in AI/ML conferences or journals.
  • Experience working with 

    multi-modal

     models (text + image + audio).
  • Knowledge of 

    Reinforcement Learning

    Prompt Engineering

    , or 

    AutoML

    .
  • Exposure to 

    data governance

    model explainability

    , and 

    AI ethics

    .


What we Offer


  • Competitive salary
  • Medical Benefits/Accident Cover
  • Flexi Office Working Hours
  • Fast paced start up


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