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Tier‑1 employer and Bangalore metro attract experienced candidates, moderated by seniority and niche ML requirements.
Deep ML/AI expertise, frameworks, and graph/ontology experience create strong domain dependency for candidates.
Explicit 8+ years requirement and specific ML, cloud, and tooling mandates make filters highly selective.
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Develop and refine AI/ML proof-of-concept models and automated experimental pipelines using advanced techniques including Markov chain, Genetic algorithms, NLP, and computer vision.
Apply deep technical skills in Python/PySpark, SQL/KQL, Azure, Databricks, and graph databases to tackle complex and unfamiliar business problems.
Drive innovation by identifying new AI opportunities and continuously experimenting with emerging methods and technologies.
Master’s or PhD degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
8+ years of professional experience in data science with a focus on AI/ML model development.
Proficiency in Python or Java, SQL, and expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with Python/PySpark, SQL/KQL, Azure, Databricks, and familiarity with graph databases and ontologies.
Experienced in applying advanced AI/ML techniques to create innovative solutions and rapidly iterate prototypes.
Strong technical operator comfortable with managing multiple projects and solving unfamiliar business problems independently.
Capable of communicating complex analytical findings clearly to stakeholders and driving adoption of AI initiatives.