Sr. Machine Learning Engineer - DSA
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, metro-based ML role with broad skill requirements increases applicant competition.
Machine learning skills transfer across industries, though construction domain exposure is preferred.
Explicit 4+ years requirement, mandatory production ML experience, and specific tech stack increase shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end development of AI/ML solutions including problem definition, experimentation, deployment, and monitoring to drive measurable business impact.
Apply multiple ML and AI techniques (predictive ML, Generative AI, computer vision, optimization) to solve complex, real-world business problems.
Provide technical leadership, mentor team members, and collaborate across engineering, product, and domain experts to ensure scalable, reliable production ML systems.
Minimum Requirements
Minimum 4 years experience in machine learning, AI, data science, or intelligent software development with production deployments.
Strong programming skills in Python and experience with ML frameworks like scikit-learn, PyTorch, or TensorFlow.
Experience building production ML pipelines, APIs, containerized services, and cloud-based solutions.
Location requirement: Pune or Nagpur.
Ideal Candidate Profile
Experienced in solving ambiguous technical challenges in AI/ML with strong statistical and experimentation foundation.
Comfortable with diverse ML domains including Generative AI, NLP, computer vision, forecasting, and optimization.
Skilled at collaborating across teams including software engineers, product managers, and domain experts within engineering or construction-focused environments.
