Lead AI/ML Engineer

Lead AI/ML Engineer

Experience: 8+ years
Salary : Upto INR 65,00,000 / 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 :
CI/CD, ETL, LLM, ML, MLOps, AWS, Docker, Python
Good to have skills :
Market Research

Our Hiring Partner is Looking for:
Lead AI 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
Lead AI Engineer
Reports To: Head of AI
Location: India. We are prioritizing candidates in the Delhi area. This role is expected to work in the Indian time zone, IST.
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...
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
The Lead AI Engineer role involves overseeing the development and deployment of advanced AI models, with a focus on LLMs, MLOps, and data engineering, while ensuring alignment with the overarching vision set by the leadership. The Lead AI Engineer collaborates closely with product managers, designers, and cross-functional teams to deliver scalable, high-impact solutions that enhance market research automation and consumer insight generation.

Responsibilities -
Key Performance Indicators (KPIs):
● Model Performance | Achieve high accuracy, explainability, and efficiency in deployed AI models, ensuring their real-world applicability.
● Operational Excellence | Implement scalable and reliable systems with minimal downtime, latency, and resource overhead.
● Scalability & Adaptability | Successfully design systems and applications capable of scaling to handle increasing data volumes and diverse user needs.
● User Impact | Drive measurable improvements in user satisfaction and adoption rates of AI-driven features and applications.

Primary responsibilities of this role:
● AI Model Innovation | Lead the creation, fine-tuning, and deployment of LLMs and ML models to extract actionable insights and drive automation.
● MLOps & Data Engineering | Architect and maintain robust CI/CD pipelines, ensure data quality with scalable ETL workflows, and optimize model deployment lifecycles.
● Scalability & Reliability | Ensure all systems, including AI models and applications, can handle growing data and user demands while maintaining performance and stability.
● Cross-Functional Collaboration | Work closely with product managers, designers, and engineering teams to ensure AI solutions are integrated effectively across platforms.

Required Skills & Experiences -
● LLM & ML Expertise | Deep experience in developing, fine-tuning, and deploying LLMs and other advanced ML models for 7+ years.
● MLOps Competence | Expertise in CI/CD pipelines, orchestration tools like Kubeflow or MLflow, and model lifecycle management.
● Data Engineering Proficiency | Strong knowledge of designing scalable ETL workflows and managing data pipelines with tools like Spark, Kafka, and Airflow.
● Cloud & Infrastructure Awareness | Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
● Innovation Approach | A forward-thinking mindset to identify trends in AI, MLOps, and full-stack development, ensuring the team stays ahead of the curve.

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.

Interview Rounds -
4 rounds -
● Round 1 - Technical,
● Round 2 - Quasi-technical
● Round 3 - Culture fit,
● Round 4 - HR or CTO

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. Click ‘Continue to Video Resume’' & Record 2-3 mins video showcasing your skills
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!