AI/ML:Engineers & Architect

5 days ago

Chennai, Tamil Nadu, India Gravity Infosolutions, Inc. Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Role: AI/ML : Engineers & Architect

Duration: 3 Months+ (Extendable)

Location : Chennai / Hyderabd

Experience: 5+ years

Job Description:

We are seeking an experienced
AI/ML Engineer
to design, develop, and deploy scalable machine learning and AI solutions across our digital ecosystem. The ideal candidate will collaborate with data scientists, engineers, and domain experts to transform large datasets into actionable insights and AI-driven applications that enhance research and operational efficiency.

Key Responsibilities:

  • Design, develop, train, and deploy
    machine learning (ML)
    and
    deep learning (DL)
    models for life sciences and manufacturing use cases.
  • Collaborate with cross-functional teams to identify opportunities for AI/ML-driven automation and optimization.
  • Implement
    end-to-end ML pipelines
    – from data ingestion and feature engineering to model training, validation, and deployment.
  • Work with
    big data platforms
    (Databricks, Snowflake, AWS Sagemaker, Azure ML, etc.) to manage and process large-scale datasets.
  • Develop
    NLP, computer vision, or predictive analytics
    models for applications in research, digital labs, and customer analytics.
  • Collaborate with software engineering teams to
    productionize and integrate AI models
    into enterprise applications.
  • Conduct performance tuning, model monitoring, and continuous retraining as needed.
  • Stay updated with emerging trends in AI/ML technologies and tools.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in
    Computer Science, Data Science, Statistics, or related field
    .
  • Proficiency in
    Python
    ,
    SQL
    , and ML frameworks such as
    TensorFlow
    ,
    PyTorch
    ,
    Scikit-learn
    ,
    XGBoost
    , or
    LightGBM
    .
  • Strong understanding of
    data structures, algorithms
    , and
    statistics
    .
  • Experience with
    cloud-based ML platforms
    – AWS SageMaker, Azure ML, or GCP Vertex AI.
  • Hands-on experience in
    MLOps
    – model versioning, CI/CD, and monitoring using tools like MLflow, Kubeflow, or Airflow.
  • Exposure to
    NLP, computer vision
    , or
    time-series forecasting
    techniques.
  • Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications:

  • Experience in
    Life Sciences / Healthcare / Pharma / Biotech
    domains.
  • Familiarity with
    data engineering
    tools like Databricks, Apache Spark, or Snowflake.
  • Knowledge of
    GenAI
    and
    LLM fine-tuning
    (e.g., OpenAI, Hugging Face, LangChain).
  • Experience deploying models as REST APIs or microservices using Flask/FastAPI.
  • Understanding of
    data governance, model ethics, and regulatory compliance
    in AI applications.
  • Work on impactful projects driving innovation in healthcare and life sciences.
  • Collaborate with global teams across R&D, engineering, and data science.
  • Access to cutting-edge AI/ML platforms and technology ecosystem.
  • Inclusive, diverse, and innovation-driven culture.

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