AI/ML Engineer

6 - 11 years

15 - 30 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • 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 techniques in data engineering, programming, machine learning, NLP, and Generative AI.
  • 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 engineers 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 engineer

    with 5

    + 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 applied

    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.
  • Bachelor's or masters 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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