Up Programmer/analyst ii, ship with amazon Jobs – 6 Open Jobs Today

Senior Machine Learning Engineer (Bangalore/Noida Location)
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
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E-Commerce Manager
Ochron Pharma Private Limited —Greater Noida, Uttar Pradesh
- ₹20,000 - ₹25,000 a month
- Full-time
- Microsoft Word
- Microsoft Excel
- Marketing
- Cell phone reimbursement
- Paid sick time
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eCommerce Sales Associate
TPSTECH —Lucknow, Uttar Pradesh
- ₹18,000 - ₹30,000 a month
- Full-time
- Hybrid work
- Sales
- English
- Bachelor's degree
- Paid time off
- Paid sick time
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3d
Software Engineer, iOS Core Product - Noida, India
Speechify —Noida, Uttar Pradesh
- Remote
- Doctoral degree
- Communication skills
2d
4195- Staff Engineer - Healthcare Interoperability (Gravity)
Innovaccer Analytics —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- HIPAA
- Health insurance
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4350- Staff Engineer - Backend (Gravity)
Innovaccer Analytics —Noida, Uttar Pradesh
- Full-time
- Azure
- Java
- Databases
- Health insurance
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Senior Machine Learning Engineer (Bangalore/Noida Location)

Level AI
Noida, Uttar Pradesh

Quick apply

Job details

Full-time

Qualifications

Law
Doctoral degree
Computer Science
Kubernetes
PyTorch
Master's degree
Docker
Bachelor's degree
Machine learning
REST
Natural language processing
APIs
AI
Python

Full job description

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

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.

We'll love to explore more about you if you have

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.

To know about us: https://thelevel.ai/

Funding : https://www.crunchbase.com/organization/level-ai

LinkedIn: https://www.linkedin.com/company/level-ai/

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Quick apply

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programmer/analyst ii, ship with amazon jobs in up

Senior Machine Learning Engineer (Bangalore/Noida Location)

E-Commerce Manager

eCommerce Sales Associate

Software Engineer, iOS Core Product - Noida, India

4195- Staff Engineer - Healthcare Interoperability (Gravity)

4350- Staff Engineer - Backend (Gravity)

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