NOIDA · FULLTIME
Senior Machine Learning Engineer (Bangalore/Noida Location)

Level Ai
Noida · onsite · Posted 9d ago
Sourced from
Not disclosed3–5 yrsfulltimeNoida
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies, and you will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities Join us!
Your role at Level AI includes but is not limited to
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn: https://www.linkedin.com/company/level-ai/
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies, and you will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities Join us!
Your role at Level AI includes but is not limited to
- Build and deploy LLM-powered agents for internal tools and customer-facing products.
- Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.
- Experiment with open-source/closed-source LLMs.
- Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.
- Optimise ML and LLM systems for accuracy, latency, scalability, and cost.
- Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.
- Collaborate with product, engineering, and customer-facing teams to ship impactful AI features.
- B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP, or applied AI.
- Strong programming skills in Python.
- Interest and experience with RAG and agentic AI concepts.
- Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries.
- Interest and experience in model training, inference optimisation, and GPUs.
- Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.
- Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar.
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn: https://www.linkedin.com/company/level-ai/
Sourced from foundit
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
DockerKubernetesRetrieval Augmented GenerationNatural Language Processingvector databasesHugging Face TransformersPytorchPythonREST APIMachine Learning
Section · Company
About Level AI

Level Ai
Software Product
51-200
employees
2018
8 years old
Mountain View, California
United States
About
Level AI specializes in voice AI technologies, enhancing productivity and customer engagement through automated solutions in sales and service sectors.
Industries
Software Product
Employee ratings
10 reviews
2.4/ 5
Culture
2.4
Career growth
2.5
Work-life
2.4
Find them on