Data Scientist

2 weeks ago

Cochin, Kerala, India Simelabs - Digital, AIML, Automation, Robotics, Gen AI. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are seeking a passionate and innovative
AI/ML Engineer
to join our team and drive cutting-edge AI solutions across traditional machine learning, deep learning, and generative AI. If you enjoy solving complex problems, experimenting with the latest AI technologies, and building real-world applications, we'd love to connect.

Key Responsibilities

  • Design, develop, and optimize
    traditional AI/statistical models
    and
    deep learning architectures
    (RNN, LSTM, CNN, Transformers).
  • Work with
    SQL, EDA, feature engineering, and data visualization
    to generate actionable insights.
  • Build and fine-tune
    Generative AI, NLP, LLMs, Chatbots, Agentic AI, MCP-based systems
    using frameworks like
    OpenAI, GPT
    and beyond.
  • Develop scalable backend solutions and model deployment pipelines using
    Django, FastAPI, Flask
    .
  • Contribute to
    data engineering & ETL pipelines
    , including big data ecosystems (
    Spark, EMR
    ).
  • Apply
    MLOps best practices
    for continuous integration, delivery, and monitoring of models.
  • Collaborate with cross-functional teams to build
    AI-driven applications
    that solve business challenges.

Required Skills & Expertise

  • Strong foundation in
    Computer Science, Mathematics, and Statistics
    .
  • Hands-on experience with
    Python / R programming
    .
  • Proficiency in
    TensorFlow, Keras, and other deep learning frameworks
    .
  • Experience in
    data modeling, big data tools, and large-scale data processing
    .
  • Knowledge of
    Generative AI, NLP, and LLMs (OpenAI, GPT, Transformers, etc.)
    .
  • Understanding of
    MLOps, deployment pipelines, and cloud-based environments
    .

What We Offer

  • Opportunity to work on
    cutting-edge AI/GenAI projects
    with real business impact.
  • Collaborative team environment fostering
    learning, innovation, and growth
    .
  • Exposure to
    end-to-end AI product development
    – from data to deployment.

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