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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