ML Engineer

AI-ML
Ahmedabad, Pune, Hyderabad
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About DataOrb  

DataOrb is revolutionizing how organizations understand and utilize their customer data. We enable businesses of all sizes—from ambitious startups to Fortune 500 companies—to unlock insights from their customer interactions across conversational, transactional, and structured datasets. Founded by veterans from Google, Amazon, Microsoft, and Samsung, we're driven by a shared mission to democratize customer intelligence and make AI accessible to everyone.

The Opportunity

We are seeking a highly-skilled, experienced ML Engineer to join our expanding  AI/ML team. In this role, you will help develop and design technology solutions that are  scalable, relevant, and critical to our company’s success. You will focus on Machine Learning development throughout all phases of the development lifecycle and must have a solid skill set,  a desire to continue to grow as a developer, and a team-player mentality. 

Core Responsibilities

  • Utilize proven hands-on experience with transformer architectures to design, train, and customize models for LLM. Apply your expertise in ML to Implement and customize generative AI architectures towards various tasks such as text summarization, classification, etc. 
  • Develop NLP based solutions for use cases defined by product leadership. 
  • Gather and prepare data for training and evaluation.
  • Work with stakeholders to understand their needs and requirements and be able to propose and manage the product roadmap.
  • Collaborate with cross-functional teams to develop and deploy innovative solutions that leverage generative AI 
  • Explore new developments in the domain and technologies to define the technical stack for the applications.

Required Qualifications

  • Bachelor's degree in Computer Science or a related field
  • Proven hands-on experience with transformer architectures, including design, training, and customizing LLMs for various downstream tasks.
  • Demonstrable experience in ML with solving problems in NLP. Minimum of 2 years of coding experience in Python.
  • Minimum of 2 years of experience in ML and NLP. Ability to think independently and solve complex problems effectively in these areas.
  • Experience with SQL
  • Excellent problem-solving and analytical skills
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

Additional Skills

  • The ability to work independently and as part of a team 
  • The ability to work under pressure and meet deadlines 
  • The ability to learn new technologies quickly 
  • The ability to communicate effectively with technical and non-technical audiences

Desired Experience

  • Background in working on SaaS products
  • Experience with AI/ML products
  • ML Engineer experience

Educational Requirements

Bachelor's Or Master’s degree in one of the following fields:

  • Bachelor of Computer Science
  • Bachelor of Engineering (Information Technology)
  • Masters of Computer Science
  • Master of Engineering (Information Technology)

OR

Equivalent professional experience in ML Engineering (typically 2+ additional years of hands-on experience beyond the base requirement)

Technical Skills

Python, ML, NLP, LLM, Jupyter Notebooks, Langchain, TensorFlow, MongoDB.

Why Join DataOrb

  • Mission: Be part of democratizing customer intelligence and making AI accessible
  • Impact: Shape how organizations understand and serve their customers
  • Team: Work with experienced leaders from top tech companies
  • Growth: Rapid scaling environment with significant learning opportunities
  • Culture: Autonomous, trust-based environment focused on outcomes
  • Benefits:
    • Flexible work arrangements
    • Comprehensive health coverage
    • Generous PTO policy
    • Professional development support
    • Competitive compensation package

Our Values

  • Customer Obsession: We practice what we preach
  • Democratizing Technology: Making complex solutions accessible
  • Innovation with Purpose: Solving real customer problems
  • Trust and Autonomy: Freedom to create and deliver excellence

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