AI/ML Engineer

4 weeks ago

Hyderabad India Clovertex Full time

Job Description 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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