Senior Data Science Engineer

4 - 9 years

30 - 40 Lacs

Posted:1 day ago| Platform: Naukri logo

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Skills Required

Work Mode

Remote

Job Type

Full Time

Job Description

Senior Data Science 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 :

Machine Learning, AI/ML, CI/CD, Analytics, Python

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

Senior Data Science 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

We're hiring a Senior AI Engineer who lives and breathes LLMs, deep learning frameworks, and end-to-end AI pipeline design. This role is for someone who can confidently move beyond fine-tuning chatbots and work with real-world GenAI challenges from embedding strategies to scalable deployments in production

Responsibilities:

  • Design, build, and deploy LLM-based applications (e. g., summarization, document parsing, chat assistants).
  • Develop scalable, repeatable AI pipelines for training, evaluation, and deployment.
  • Fine-tune transformer models using PyTorch, TensorFlow, and Hugging Face Transformers.
  • Implement retrieval-augmented generation (RAG) pipelines using FAISS or Weaviate.
  • Deploy using FastAPI, Docker, Kubernetes, and GPU cloud infrastructure.
  • Integrate prompt engineering and embeddings using LangChain or open-source LLMs.
  • Support classic ML models (Scikit-learn, XGBoost) where needed.

Requirements:

  • 4-10 years of experience in AI/ML with strong LLM/GenAI expertise.
  • Strong Python skills and deep knowledge of TensorFlow, PyTorch, and Hugging Face.
  • Experience in training and deploying transformer models.
  • Familiarity with LLMOps, vector DBs, and cloud deployments.
  • Working knowledge of classical ML techniques.
  • LoRA/PEFT experience, agent frameworks like CrewAI or LangGraph.
  • GitHub or publication record, experience with vision-language models.
  • Experience with multi-modal models, NLP/NLU, or vision-language models (e. g., CLIP, Flamingo).

Interview Process

  • L1: Screening round
  • L2: Technical Round (Hands-on)
  • Final Round

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:

Winmore is the market leader in providing AI-driven price and process optimization. Thousands of forwarders, brokers, and carrier professionals log on to Winmore to streamline their tender management, RFQ, and workflows with data-driven insights. The Winmore platform delivers five solutions for every stage of the customer journey, starting with pricing freight, implementing awarded business, collaborating with shipper customers, and managing sales teams.

Tender Management and RFP Software for 3PL's, Carriers and Forwarders. Tender Management and RFP Software allows 3PL's, forwarders and carriers to manage their pricing, including the data and information associated with them.

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.

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