Senior AI/ML Scientist

7 - 12 years

13 - 18 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


  • Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value.
  • Lead and execute end-to-end AI/ML projects from data exploration and model development to validation, deployment, and monitoring in production.
  • Drive solution architecture using advanced techniques in machine learning, NLP, Generative AI, and statistical modeling.
  • Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking.
  • Guide junior and associate AI/ML scientists through technical mentoring, code reviews, and solution reviews.
  • Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams.
  • Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement.

We are looking for:
  • A seasoned AI/ML scientist with 7+ years of hands-on experience delivering enterprise-grade AI/ML solutions.
  • Advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms (Azure preferred) and tools such as Databricks, Synapse, ADF, and Web Apps.
  • Strong expertise in text analytics, NLP, and Generative AI, with real-world deployment exposure.
  • Solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production.
  • A problem solver with scientific rigor , strong business acumen, and the ability to bridge the gap between data and decisions.
  • Prior experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines.
  • Bachelors or master s degree in computer science, Engineering, Statistics, or a related quantitative field. A PhD is a plus.
  • Prior understanding in business domain of shipping and logistics is an advantage.

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