Senior Machine Learning Engineer (LLM & MLOps)

Senior Machine Learning Engineer (LLM & MLOps)

Experience: 5+ years
Salary : Upto INR 35,00,000 / year
Preferred Notice Period: Within 30 Days
Shift: 10:00AM to 7:00PM IST
Opportunity Type: Hybrid (Delhi)
Placement Type: Permanent

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

What do you need for this opportunity
Must have skills required :
ETL pipeline, LLM, MLOps, AWS, Python
Good to have skills :
CI/CD, Cloud, Containerization tool Like Docker or Kubernetes, Kafka or Airflow or Apache Spark

Our Hiring Partner is Looking for:
Sr. AI Engineer [MLOps] 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
Sr AI Engineer [MLOps]
Team: AI
Reports To: Head of AI
Travel: This role will be expected to make annual travel 3-4 times domestically in India and 1-2 times internationally to the US. Note, Knit US does US All Team, in-person company events twice per year.

A little about us…
Knit is the The Researcher-Driven AI Platform helping researchers run agency-quality quant + qual research at DIY costs & speed. Through Knit, brands like NASCAR, JBL, and Mars automate their consumer research process to get a quicker and more holistic understanding of their audiences.

Overview
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.

Benefits
Upon joining the Knit team, you will receive a competitive salary + Equity Options if applicable to role, Healthcare Coverage, a company-issued laptop, contributions to the Employee Provident Fund (EPF), holiday time-off, and more!

Our Company Values
● We are thoughtful of others.
● We are mindful of ourselves.
● We deliver delightful experiences.

How to apply for this opportunity

1. Register or login on our portal
2. Click 'Apply,' upload your resume and fill in the required details.
3. Post this click ‘Apply Now' to submit your application.
4. Get matched and crack a quick interview with our hiring partner.
5. Land your global dream job and get your exciting career started!

About Our Hiring Partner:
Knit is an end-to-end Insights Platform combining the power of Quant, Video and AI to help brands get a quicker and more holistic understanding of their target audience.

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 opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach 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!