Machine Learning Engineer

Machine Learning Engineer

Experience:

Salary :

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

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

Must have skills required :

Speech Recognition, Text-to-speech, Dialogue systems, Python, Coding, SaaS

Nurix (One of Uplers' Clients) is Looking for:

Machine Learning 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

As a ML Engineer, you will play a pivotal role in leading and mentoring a team of talented ML engineers and researchers. You will materilize the technical vision for our core AI components, oversee the execution of our ambitious Voice AI roadmap, and ensure the delivery of high-impact machine learning solutions. This role requires a blend of deep technical expertise, strong leadership capabilities, and a passion for innovation in the AI space.

Note: Looking for folks from Tier 1 colleges only

Key Responsibilities:

• Provide technical leadership and direction for key ML initiatives, including custom ASR/TTS,V2V development (with SSMs like Mamba, Hamba), Agentic RAG systems , and LLM orchestration.
• Foster an environment of growth, learning, and a culture of high performance.
• Oversee the end-to-end lifecycle of ML projects, from ideation and research through development, deployment (in collaboration with MLOps), and iteration.
• Drive architectural decisions for ML systems, ensuring scalability, reliability, and performance for real-time voice applications.
• Collaborate closely with product management, engineering teams, and stakeholders to define project requirements, priorities, and deliverables.
• Stay abreast of the latest advancements in AI/ML, particularly in speech technology, NLP, and large language models, and champion their adoption where relevant.
• Lead the design and implementation of research and development plans for next-generation voice AI capabilities, including V2V support and multi-lingual systems.
• Contribute to hiring and building a world-class ML team.

Required Qualifications & Skills:

• Bachelor's Degree in Computer Science or related field
• 4+ years of hands-on experience in machine learning, with a significant portion in a leadership or senior technical role.
• Proven track record of successfully delivering complex ML projects into production.
• Strong expertise in one or more of the following areas: Speech Recognition (ASR), Text-to-Speech (TTS), Natural Language Processing (NLP), Dialogue Systems, Large Language Models (LLMs), Retrieval Augmented Generation (RAG).
• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Excellent understanding of ML system design, model evaluation, and MLOps principles.
• Demonstrated experience in leading, mentoring, and managing technical teams.
• Exceptional problem-solving, analytical, and communication skills.

Preferred Qualifications & Skills:

• Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience with State Space Models (SSMs) or other cutting-edge sequence modeling architectures.
• Familiarity with deploying ML models in real-time, low-latency environments (e.g., using Triton, Nvidia Riva, SGLang, vLLM).
• Experience with cloud platforms (AWS, GCP, Azure) and their ML services.
• Contributions to the ML research community (e.g., publications, open-source projects).
• Experience in developing AI solutions for multiple languages.

Interview Process:

• Technical Round 1: Core ML concepts, coding question.
• Technical Round 2: Applied ML/Deep Learning, practical problem-solving w/t a coding question.
• Techno-Culture Round: Team fitment, communication, and product knowledge.
• Final discussion: Final discussion

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

Nurix was born from a simple but radical belief: the way enterprises operate is broken, and it’s time for a new playbook. For too long, enterprises have scaled by stacking people, platforms, and processes.

The result? Bloated workflows, endless handoffs, and systems that need constant maintenance.

But at the heart of every workflow, whether it’s sales, support, vendor management, or internal ops is a conversation. Nurix builds conversational AI agents that don’t just automate tasks, but take ownership. They connect across tools, understand context, and handle work end-to-end.

This is the new operating layer of the enterprise. And it speaks your language.

About Uplers:

Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.

With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

Role & responsibilities

Preferred candidate profile