Search by job, company or skills

Uplers

AI/ML Engineer

new job description bg glownew job description bg glownew job description bg svg
  • Posted a month ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Experience: 5.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 7 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid (Hyderabad)

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Clovertex)

(*Note: This is a requirement for one of Uplers client - Clovertex)

What do you need for this opportunity

Must have skills required:

CFR, GXP, HIPAA, Amazon SageMaker, AWS Services, ML model deployment on AWS, MLOps, Python

Clovertex is Looking for:

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:

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

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

  • Step 1: Click On Apply! And Register or Login on our portal.
  • Step 2: Complete the Screening Form & Upload updated Resume
  • Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:


Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

More Info

Job Type:
Industry:
Function:
Employment Type:

About Company

Job ID: 131317057

Similar Jobs