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Mid-level ML role, metro Hyderabad, broad skills and moderate global brand lead to high competition.
Industrial IoT and ML specialization increases domain specificity, reducing cross-industry transferability.
Mandatory 3+ years, MSc, and extensive ML and engineering stack make screening highly stringent.
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Develop and deploy production-level machine learning and advanced data analysis solutions on large datasets.
Work with IoT and sensor data in the industrial sector.
Utilize expertise in applied mathematics and machine learning engineering to deliver data science and AI solutions.
3+ years of experience in developing machine learning and advanced data analysis solutions.
M.Sc. in Data Science, Mathematics, Computer Science, or related technical field.
Experience in the industrial sector involving IoT and sensor data.
Proficiency with machine learning libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, HuggingFace) and software engineering tools (Python, Git, CI/CD, automated testing).
Experienced in production-level deployment of AI and machine learning solutions, indicating operational ownership.
Comfortable working with complex data infrastructure including Linux/Windows systems, cloud platforms, databases, and data lakes.
Has a quantitative background with strong applied mathematics skills and exposure to machine learning engineering in an industrial IoT context.