Senior Machine Learning Engineer

Turiyam AI; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Opportunity to work on cutting-edge AI technology

Collaborative work environment

Job summary

A pioneering AI technology firm based in Bengaluru is seeking an Engineering Leader to drive AI acceleration systems. The role involves optimizing model performance through quantization and working with cross-functional teams to innovate. Candidates should possess a degree in Computer Science or Engineering and experience with PyTorch. This position offers a competitive salary, a collaborative environment, and opportunities for professional growth.

Qualifications

• Strong background in quantization and model optimization techniques.
• Experience deploying machine learning models at scale in production environments.
• Solid understanding of machine learning algorithms and their implementation on accelerators.

Responsibilities

• Implement quantization techniques to optimize model performance.
• Collaborate with HW and SW teams to drive innovations.
• Stay up-to-date with advancements in AI technologies.

Skills

Quantization techniques

Model optimization

Proficiency in PyTorch

Communication skills

Problem-solving skills

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or related field

Tools

AWS

Google Cloud

Azure

Job description

Direct message the job poster from Turiyam AI

Engineering Leadership | AI Acceleration Systems | Organization Building & Transformation

Job Description:

At TuriyamAI, we are pioneering world leading GenAI semiconductor solutions from India, for India and the World. Our breakthrough solutions are set to redefine the future of AI computing, driving unparalleled efficiency, performance, and accessibility for enterprises worldwide.

Responsibilities:

• Implement quantization techniques to optimize model performance and efficiency.
• Experience with inference optimizations at node and cluster scale.
• Experience developing, modifying, and optimizing inference frameworks such as vLLM, SGLang.
• Layer‑by‑layer analysis, profiling of multimodal LLMs, stable diffusion, speech and other models.
• Collaborate with HW and SW teams to drive innovations and optimizations into product deployments.
• Stay up‑to‑date with the latest advancements in machine learning and AI technologies, and apply them to improve our products and services.

Requirements:

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, or a related field.
• Strong background in quantization and model optimization techniques.
• Experience deploying machine learning models at scale in production environments.
• Proficiency in PyTorch.
• Solid understanding of machine learning algorithms and their implementation on accelerators.
• Excellent problem‑solving skills and the ability to work independently as well as part of a fast‑paced team in a startup environment.
• Strong communication skills to effectively convey technical concepts to non‑technical stakeholders.

Preferred Qualifications / Experience:

• Experience with fine‑tuning and distillation of large language models (LLMs).
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with MLOps practices and tools for model deployment and monitoring.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on cutting‑edge AI technology.
• Collaborative, dynamic and inclusive work environment.
• Professional growth and development opportunities.

How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this role to [e-mail]

Referrals increase your chances of interviewing at Turiyam AI by 2x