AI/ML Engineer

2 days ago

Hyderabad, Telangana, India Clovertex Full time ₹ 8,00,000 - ₹ 24,00,000 per year

We are seeking a talented
AI / ML Engineer
to design, develop, and deploy
machine learning
and
AI-driven applications
on
AWS Cloud
. The role involves building scalable ML pipelines, training and tuning models, and operationalizing AI solutions that enhance data-driven decision-making across research, clinical, and enterprise use cases.

Key Responsibilities

  • Design and develop machine learning models for predictive analytics, classification, and anomaly detection.
  • Implement NLP and computer vision solutions for scientific, clinical, and document intelligence use cases.
  • Build and manage end-to-end MLOps pipelines for model training, deployment, and monitoring.
  • Integrate AI models into business applications and APIs for seamless consumption by data products.
  • Monitor model performance, retrain as necessary, and ensure explainability and compliance with governance standards.
  • Work collaboratively with data engineers, data scientists, and DevOps teams to optimize workflows.
  • Ensure adherence to HIPAA, GxP, and 21 CFR Part 11 data compliance standards in AI environments.

Technical Skills

  • Core ML & AI Services: Amazon SageMaker, SageMaker Pipelines, SageMaker Studio
  • Generative AI & NLP: Amazon Bedrock, Amazon Comprehend Medical, Amazon Textract, Hugging Face
  • Data Processing & Automation: AWS Glue, Lambda, Step Functions, EventBridge
  • Model Deployment: API Gateway, ECS/EKS for scalable inference endpoints
  • Proficiency in Python, with experience using TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers
  • Strong understanding of MLOps, model monitoring, and CI/CD for ML workflows
  • Familiarity with AWS Security tools (IAM, KMS, CloudTrail) and governance frameworks

Qualifications & Experience

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • 5+ years of experience in machine learning engineering, data science, or AI solution development
  • Proven experience building and deploying production-grade ML models on AWS
  • Strong understanding of ML lifecycle management, data preprocessing, and feature engineering
  • Experience collaborating in Agile environments with cross-functional data and engineering teams

Preferred Qualifications

  • Experience in life sciences, healthcare, or pharmaceutical analytics
  • Familiarity with bioinformatics or clinical data modeling
  • AWS Certified Machine Learning – Specialty or AWS Certified AI Practitioner
  • Knowledge of AI ethics, model explainability, and responsible AI principles

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