The role involves leading AI/ML initiatives, managing a team, defining strategies, and overseeing advanced machine learning solutions including LLMs and RAG.
This is a remote position.
Job Description: Lead / Manager AI-ML Engineer
Position: Lead / Manager AI-ML Engineer Experience: Minimum 8+ years Location: Remote (Pan-India) Employment Type: Full-Time
About the Role
We are seeking a highly skilled and experienced AI/ML Engineer with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to lead our Machine Learning initiatives. The ideal candidate will manage a team of talented data scientists and engineers, owning the end-to-end AI/ML portfolio of the organization. This role requires not only strong technical proficiency but also proven team leadership and project management experience.
Key Responsibilities
•
AI/ML Strategy & Leadership
o
Define and execute the organization's AI/ML strategy and roadmap.
o
Lead and mentor a team of AI/ML engineers and data scientists.
o
Ensure best practices for model development, deployment, and scalability.
•
Technical Ownership
o
Architect and implement advanced machine learning solutions, especially around transformer-based architectures.
o
Build and fine-tune Large Language Models (LLMs) for various business use cases.
o
Develop and optimize RAG pipelines for production-ready applications.
o
Collaborate with cross-functional teams (Product, Engineering, and Data) to translate business requirements into AI-driven solutions.
•
Innovation & Research
o
Stay updated with cutting-edge AI research and integrate relevant advancements into the company’s solutions.
o
Explore and deploy frameworks like Hugging Face Transformers, PyTorch, and other modern ML toolkits.
•
End-to-End Delivery
o
Oversee the entire lifecycle of ML models—from problem framing, data preparation, and model training to deployment and performance monitoring.
Required Skills & Qualifications
•
Experience: Minimum 8+ years of experience in AI/ML, with at least 3+ years in a leadership or managerial role.
•
Strong expertise in Generative AI, RAG, and LLM fine-tuning.
•
Hands-on proficiency with Python, PyTorch, and transformer-based architectures.
•
Deep understanding of Hugging Face Transformers and related frameworks.
•
Proven experience handling end-to-end ML operations in production.
•
Excellent leadership and communication skills, with the ability to manage and inspire a team.
•
Strong problem-solving mindset with a focus on innovation and scalability.
Preferred Skills
•
Experience with MLOps tools and cloud platforms like AWS, Azure, or GCP.
•
Knowledge of vector databases and modern retrieval techniques.
•
Background in data science, analytics, and statistical modeling.
Why Join Us?
•
Opportunity to own the complete AI/ML portfolio and shape the future of innovation within the organization.
•
Work with cutting-edge technologies and contribute to next-gen Generative AI solutions.
•
A fully remote opportunity, open to talented professionals across India.
•
A collaborative and growth-focused culture that values innovation.
Similar Jobs
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As a Player Development Executive, you will enhance VIP player relationships, drive sales metrics, analyze performance data, and ensure adherence to VIP policies.
Top Skills:
Crm SoftwareData Analysis
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As a VIP Host, you will manage player relationships, execute VIP engagement strategies, lead reactivation efforts, and ensure a world-class customer experience.
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Staff Software Engineer will develop full-stack applications, lead projects, mentor teammates, and drive architectural discussions to enhance Toast's restaurant platform.
Top Skills:
AIDistributed SystemsDynamoDBGraphQLJavaKotlinMachine LearningMicroservicesReactRest
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
