Sr. AI Engineer [MLOps]-Delhi(Hybrid)

Experience: 5.00 + years

Salary: INR 4500000.00 / year (based on experience)

Expected Notice Period: 60 Days

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

Opportunity Type: Hybrid (Delhi)

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

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

What do you need for this opportunity?

Must have skills required:

CI/CD, Cloud, Containerization tool Like Docker or Kubernetes, Data Engineering, ETL pipeline, Kafka or Airflow or Apache Spark, Kubeflow, LLM, MLFlow, MLOps, Python

Knit is Looking for:

This Senior AI Engineer [MLOps] role focuses on developing and deploying generative AI models to streamline market research automation, working closely with product managers, designers, and engineers. By leveraging cutting-edge LLM techniques, this position ensures that Knit’s platform can rapidly produce high-quality consumer insights at scale, boosting efficiency and competitive advantage.

Responsibilities | What you will own…

Key performance indicators for this team & role:

Key Performance Indicators (KPIs):

• Model Quality | High-fidelity outputs with robust performance, improved accuracy, and relevance in both ML and LLM pipelines.
• Data Infrastructure | Seamless data ingestion, transformation, and accessibility, ensuring scalability and efficiency.
• Operational Excellence | Streamlined deployment pipelines, reduced downtime, and efficient resource utilization.
  
  
  

Primary responsibilities of this role:

• Design & Optimize ML, LLM, and Data Engineering Solutions | Architect end-to-end pipelines, fine-tune models, and integrate data workflows for actionable insights and trustworthy outputs.
• MLOps & Automation | Develop scalable CI/CD pipelines for model deployment, monitoring, and version control. Ensure reproducibility and operational reliability across environments.
• Data Engineering | Design robust ETL pipelines, manage data lakes/warehouses, and ensure high-quality, secure data for training and inference.
• Validation & Compliance | Conduct pilot tests, ensure adherence to regulatory standards, and mitigate bias in models and data workflows.
• Continuous Improvement | Monitor system performance, optimize pipelines, and contribute to transitioning AI capabilities from niche use cases to mainstream adoption.
  
  
  

Required Skills & Experiences

• LLM & ML Expertise | Proven experience in designing, fine-tuning, and deploying advanced models for 3+ years.
• MLOps Mastery | Strong proficiency in model deployment, orchestration tools (e.g., Kubeflow, MLflow), and CI/CD best practices.
• Data Engineering Skills | Hands-on experience in building and optimizing data pipelines, working with tools like Apache Spark, Kafka, or Airflow.
• Cloud Proficiency | Expertise in cloud platforms (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes).
• Communication & Analysis | Strong ability to explain technical concepts, align AI initiatives with business goals, and collaborate across teams.
• Adaptability | Eagerness to stay ahead of trends in AI, MLOps, and data engineering, continuously refining skills and approaches.
  
  
  

Engagement Model::Direct placement with client.

This is hybrid role.

Shift timing::10 AM to 7 PM(IST)

Interview Rounds::

4

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!