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ML Engineer @ Randomtrees

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 ML Engineer

Job Description

Role: ML Engineer

Experience: 3 to 15 Years
Chennai location must or relocation also fine- Hybrid mode

We have good budget


Job Description:

Responsibilities:

  • Strong understanding of ML algorithms, techniques, and best practices.
  • Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of Mlflow or Kubeflow frameworks
  • Strong programming skills in python and Data analytical expertise
  • Experience in building Gen AI based solutions like chatbots using RAG approaches
  • Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc.

Requirements:

  • Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM.
  • Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with product matching algorithms and image recognition techniques.
  • Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures.
  • Optimize and fine-tune models for performance and scalability..
  • Collaborate with cross-functional teams to integrate ML solutions into products.
  • Stay updated with the latest advancements in AI and machine learning.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time

Contact Details:

Company: Randomtrees
Location(s): Chennai

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Keyskills:   Generative Ai Aiml RAG LLM Python Data Science Date Scientist Langchain Artificial Intelligence Machine Learning

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Randomtrees

Voice Process Requirements\r\nLanguages:\r\n\r\nEnglish & Tamil\r\nEnglish & Hindi\r\n\r\nEligibility Criteria:\r\nGood communication skills\r\nGraduates only (No active backlogs)\r\nCandidates (no far-location profiles)\r\nSalary: Up to 20,000/month (depending on performance)