IN_Senior Associate_ ML Engineer_GCC_Advisory_Bangalore

Line of Service

Industry/Sector

Specialism

Management Level

• End-to-End ML Pipelines

  : Design and implement scalable, production-grade ML pipelines—from data ingestion, feature engineering, and model training to deployment, monitoring, and retraining.  

• Production Deployment: Deploy

  ML models at scale using AWS services

  , ensuring low-latency, high-availability, and fault-tolerant systems.  

• Data Engineering: Work with large-scale structured and unstructured datasets; build ETL pipelines to prepare data for model training and inference.  

• Research & Innovation: Stay current with the latest ML/AI research, evaluate new techniques, and drive adoption of cutting-edge methodologies.  

• Operational Excellence: Own the end-to-end lifecycle of ML models including monitoring, alerting, debugging, and continuous improvement.  

• Documentation & Communication: Write clear technical documentation and effectively communicate results and trade-offs to both technical and non-technical stakeholders.  
  

• • • Programming:

      Strong proficiency in Python

      ; experience with ML frameworks such as PyTorch, TensorFlow, or JAX.  
    • ML Fundamentals: Solid understanding of supervised/unsupervised learning, deep learning, NLP, recommendation systems, and optimization techniques. Familiarity with MLOps practices—including CI/CD for ML, model versioning, feature stores, and automated retraining pipelines. 
    • Data Skills: E

      xperience with SQL and large-scale data platforms (e.g., Spark, Hadoop, Redshift, or equivalent)

      .  
    • Cloud & Infrastructure:

      Hands-on experience with AWS

      .  
    • Software Engineering: Strong software development fundamentals, including data structures, algorithms, and system design.  
    • Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to senior leadership.  

     
    Years of experience required: Experience: 5+ years of professional experience in machine learning engineering or applied ML.  
    Education qualification: Education: Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field.  
    

    Education

    Certifications

    Required Skills

    Optional Skills

    Desired Languages

    Travel Requirements

    Available for Work Visa Sponsorship?

    Government Clearance Required?

    Job Posting End Date