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Mid-level ML role at a Tier‑1 firm in Gurgaon with broad required skills attracts many qualified applicants.
ML/AI and MLOps skills transfer across industries but require specialized experience, so moderate sensitivity.
Explicit 4–6 years plus required ML, MLOps, cloud, and containerization skills tightens shortlisting.
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Develop and maintain web applications and server-side software using Python and frameworks like Django or Flask, ensuring integration with third-party services.
Build, train, and deploy machine learning and deep learning models using Python and cloud ML platforms such as SageMaker or Azure ML.
Participate across all phases of software development lifecycle, including writing testing code, debugging, automating processes, and mentoring junior developers.
4-6 years of programming experience with Python, Java, or R.
Bachelor's degree in Marketing, Business Analytics, Data Science, or related field.
Proficiency in Python, SQL (preferably SQL Server), Python frameworks (Django or Flask), and experience with TensorFlow or PyTorch.
Experience with containerization technologies (Docker, Kubernetes), Linux/Unix administration, scripting languages (Python, Perl, Bash), and cloud platforms (preferably Azure).
Experienced in building and deploying machine learning/deep learning models in production environments using cloud platforms, especially Azure.
Strong ability to develop full-stack business analytics solutions integrating data extraction, processing, and visualization using Python and R.
Comfortable in collaborative environments managing software development lifecycle and mentoring junior developers with automation and CI/CD practices.