Sr. Consultant – AI & Data (Machine Learning)

6 - 10 years

0 Lacs

Posted:3 weeks ago| Platform: GlassDoor logo

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On-site

Job Type

Full Time

Job Description

Here's a concise and well-structured Job Description (JD) tailored for a website posting, based on the details provided for the position "Sr. Consultant – AI & Data (Machine Learning)"

Job Title:

Sr. Consultant – AI & Data (Machine Learning)
Function: Consulting Services – AI & Engineering
Job Type: Full-time
Locations Available: Bengaluru, Chennai, Gurugram, Hyderabad, Kolkata, Mumbai, Pune

About the Role

Deloitte’s AI & Data team is looking for an experienced Senior Data Scientist / Machine Learning Consultant to lead and deliver impactful, data-driven solutions across industries. In this role, you'll guide cross-functional teams in building robust machine learning models, apply statistical techniques to solve complex problems, and help shape AI-driven strategies for clients. This is an opportunity to work on cutting-edge projects that bring measurable value to top-tier enterprises.

Key Responsibilities

  • Lead and deliver end-to-end Data Science/Machine Learning projects across various domains.
  • Collaborate with client teams and stakeholders to define business problems and translate them into technical solutions.
  • Guide and manage teams comprising Data Scientists, ML Engineers, Data Engineers, and DevOps professionals.
  • Design, develop, and deploy statistical and machine learning models using Python, PySpark, SQL, and relevant frameworks.
  • Apply techniques like classification, regression, optimization, time series analysis, and decision trees to generate insights and drive decisions.
  • Contribute to pre-sales activities, including client presentations, proposals, and solution design.
  • Foster a culture of inclusion, innovation, and continuous learning within the team.
  • Stay updated with research publications and trends in AI/ML and drive adoption of innovative solutions.

QualificationsMust-Have:

  • 6–10 years of hands-on experience in Data Science and Machine Learning.
  • Proven experience in leading 3–5 member teams and delivering multiple end-to-end ML projects.
  • Strong knowledge of Python, SQL, PySpark and ML libraries like NumPy, Pandas, Scikit-learn.
  • Solid grounding in statistical methods and machine learning techniques.
  • Experience with cloud or on-prem model deployment, containerization (Docker), and version control (Git).
  • Proficient with BI tools like Tableau or Power BI.
  • Strong communication and stakeholder management skills.

Good-to-Have:

  • Hands-on experience with Databricks, Snowflake, or major cloud platforms (AWS, Azure, GCP, NVIDIA).
  • Knowledge of MLOps tools and workflows.
  • AI/Cloud certifications from recognized institutions or platforms.
  • Passion for applied research and ability to implement ideas from academic papers.

Job Type: Full-time

Benefits:

  • Provident Fund

Schedule:

  • Day shift

Work Location: In person

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