Qureos

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ML Engineer

India

Job Role- ML Engineer

Job Type- Full-Time

Work mode- Onsite

Location- Chennai

Transport: Cab facility available within a 20 km radius

Shift timing- 4 pm to 1 am (Cab facilities will be there

Experience Level: 1–3 years

About the Role:

We are looking for a Machine Learning Engineer with a solid foundation in programming and a keen interest in AI/ML. The ideal candidate should have basic to intermediate programming skills, good system knowledge, and a strong understanding of machine learning, deep learning, and AI fundamentals.

Key Responsibilities:

  • Collaborate with data scientists and engineers to develop and deploy ML models.
  • Write clean, efficient, and reusable code using Python (mandatory) and C/Java (basic to intermediate level).
  • Work with datasets to preprocess, clean, and transform data for ML pipelines.
  • Implement basic ML/DL algorithms and help optimize model performance.
  • Contribute to system-level design and architecture discussions for ML solutions.
  • Stay up to date with trends in ML, DL, and AI technologies.

Required Skills & Qualifications:

  • Programming: Basic to intermediate proficiency in C/Java and strong expertise in Python.
  • System Knowledge: Good understanding of OS fundamentals, memory management, and performance considerations.
  • Mathematics & Statistics: Basic understanding of statistics, probability, and linear algebra.
  • Machine Learning & AI: Knowledge of ML algorithms, deep learning frameworks (TensorFlow, PyTorch preferred), and AI concepts.
  • Problem-Solving: Strong analytical and debugging skills.
  • Communication: Ability to work effectively with cross-functional teams.

Nice to Have:

  • Experience with cloud platforms (AWS/GCP/Azure).
  • Exposure to MLOps tools or model deployment workflows.
  • Hands-on experience with data visualization libraries.

Job Type: Full-time

Pay: Up to ₹1,446,861.42 per year

Work Location: In person

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