Sr. AI/ ML Engineer

2 days ago

Hyderabad, Telangana, India Citridot Solutions Private Limited Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Sr AI/ ML Engineer:

We're looking for a Senior AI/ML Engineer with a strong foundation in geometric reasoning, hands-on Python and SQL expertise, and a flair for creative problem-solving. This role is ideal for someone who thrives on building innovative, agent-driven solutions and can independently devise new frameworks or approaches to solve complex problems.

Roles & Responsibilities:

·      Develop, optimize, and deploy end-to-end ML models with strong
Python and SQL expertise
.

·      Apply linear algebra, calculus, probability, and statistics to solve real-world ML problems.

·      Holds a strong understanding of
Computer Vision methodologies
and its practical applications.

·      Design and implement
ML algorithms
such as Linear/Logistic Regression, Trees, XGBoost, Clustering, and Anomaly Detection.

·      Build scalable, agent-driven AI solutions with a focus on innovation and independent problem-solving.

·      Strong experience in geometric concept application and hands-on coding over theoretical research.

·      Practice Test-Driven Development with exposure to AWS cloud deployment.

·      Collaborate cross-functionally as a senior developer, driving creative and practical AI/ML engineering solutions.

Required Skills:

  • Proven experience as a hands-on
    Senior Developer
    or
    AI/ML Engineer
    (Ph.D. not mandatory, but strong experience and creativity are key).
  • Strong background in Python programming and SQL.
  • Demonstrated ability to creatively solve problems and think beyond standard solutions.
  • Experience designing or implementing agent-driven architectures or frameworks.
  • Ability to work independently and drive innovation.
  • Familiarity with
    test-driven development (TDD)
    practices.
  • Experience with
    AWS
    cloud platforms is a plus.
  • Exposure to geometric computation, simulations, or 3D spatial reasoning is a strong advantage.

Nice to Have:

·      Experience with reinforcement learning or autonomous agents.

·      Familiarity with modern ML Ops practices.

·      Previous work in a research-heavy or innovation-focused environment.

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