Ai Ml Engineer

AI/ML Engineer

Experience: Years Exp.

Salary : Competitive

Preferred Notice Period: Within 7 Days

Shift: 12:00 PM to 9:00 PM IST

Opportunity Type: Hybrid , Hyderabad, Telangana

Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Amazon SageMaker, AWS Services, ML model deployment on AWS, MLOps, Python

Clovertex (One of Uplers' Clients) is Looking for:

AI/ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

At the intersection of science and technology, Clovertex is a Life Sciences systems integrator specializing in architecting, building, automating, and managing scientific applications, databases, data lakes, and workflows using cloud computing technologies.

Clovertex is an AWS Advanced Tier Partner. Our team has deep scientific domain experience and specializes in providing both IT and science-related services.

To know more about us: CLOVERTEX.COM

Job Role: AI/ML Engineer

Location: Hyderabad

Experience Required: 5+ years

Job Type: Full-Time

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:

• Bachelors 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

Keywords or Tags: AI Engineer, ML Engineer, SageMaker, Bedrock, Hugging Face, NLP, MLOps, AWS, Python, Life Sciences AI

Benefits:

• We strongly believe in a competitive salary and benefits package for our employees.
• Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels.
• Clovertex understands the importance of Work Life balance and provides Hybrid work model.
• Health insurance and benefits for the employees and dependents.

Additional Information:

• Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• We are committed to creating a positive and inclusive work environment for all employees.

How to apply for this opportunity:

Easy 3-Step Process:

1. Click On Apply And Register or log in on our portal

1. Upload updated Resume & Complete the Screening Form

2. Increase your chances to get shortlisted & meet the client for the Interview

About Our Client:

Clovertex specializes in building and migrating scientific research high-performance computing (HPC) and data platforms that leverage AWS container and non-container based technologies. We have successful migration patterns for commonly used research applications such as: Single Cell Sequencing, GROMACS, NAMD, ANSYS, RELION, cryo-EM, cryoSPARC, NONMEM, and more. Our unique methodology provides the optimal price and performance from either an all-cloud or a cloud/hybrid system. In addition to HPC, we offer services for managing large scale big data platforms, data lakes, and AI/ML frameworks.

About Uplers:

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With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

Experience a simpler, faster, and more reliable hiring process with Uplers today.Role & responsibilities

Preferred candidate profile