Principal/Lead Data Scientist

Fractal

Bengaluru

On-site

INR 2,000,000 - 3,500,000

Full time

14 days+

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Job summary

Fractal is seeking a Lead Data Scientist to join their AI services team in Bengaluru, India. The role requires leadership in client delivery, business development, and data science team management. The ideal candidate will have extensive experience in AI and Machine Learning, with a strong background in Python, PySpark, and cloud platforms like AWS and Azure.

The Lead Data Scientist will be responsible for ensuring high-quality AI solutions in client projects, collaborating with teams, and optimizing processes for model training and solution execution.

Qualifications

  • 11-15 years of experience in AI and Machine Learning.
  • Strong proficiency in Python, PySpark, AWS, Azure, and GCP.
  • Hands-on experience with model training, hyperparameter tuning, and deployment.

Responsibilities

  • Lead AI solution end to end in client projects.
  • Manage project teams ensuring deliverable quality and timeliness.
  • Provide regular updates to executive team on project status.

Skills

Python
PySpark
AWS
Azure
GCP
Machine Learning
Deep Learning
Generative AI
Problem-solving
Communication

Education

Bachelor's or Master's degree in Data Science, Computer Science or related field

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Job Description

The team member will be a part of AI services team at Fractal.ai and will be working in a fast paced environment. Lead Data Scientist is a leadership role in the AI services team with responsibilities spanning across client delivery, business development and people leadership.

Responsibilities
  • Leading AI solution end to end in given client projects, including AI solution design, execution and client and team management
  • Leading project teams through the solution development, validation and deployment, monitoring ensuring deliverable quality and timeliness
  • Solving internal and client deadlocks ensuring alignments on key technical aspects of the AI solution
  • Partnering with Sales teams during new business and renewal business development conversations to ensure new and incremental business
  • Managing reporting team of data scientists and Sr. Data scientists providing career guidance for growth, resolving issues and ensuring high utilization in client projects
  • Providing regular updates to executive team on client projects being handled, calling out project status, risks, issues, resolutions from a technical pov
  • Collaborate with other functional teams such as Engineering, MLOps, DevOps, etc. as required in the client projects ensuring clear and effective communications enabling integration of AI solutions into client production systems.
  • Collaborate with internal and client stakeholders to understand business requirements and translate them into AI solutions.
  • Ensure optimizations in code and model using best-in-class techniques in ML and Deep learning
  • Lead process of extensively clean, preprocess and transform raw datasets to ensure its quality and suitability for model training.
  • Implement best practices throughout the design and execution of AI solution
Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science or a related field.
  • Minimum 11‑15 years of experience in AI and Machine Learning
  • Strong proficiency in Python, PySpark, cloud platforms such as AWS, Azure and GCP
  • Strong proficiency in machine learning, deep learning, supervised/unsupervised learning algorithms and their execution
  • Good to have experience and understanding of Generative AI concepts
  • Previous experience in leading data science projects is must
  • Previous experience in new/ renewal business development is must
  • Previous experience in client and internal team management is must
  • Hands‑on experience with model training, hyperparameter tuning, and deployment.
  • Excellent problem–solving skills and attention to detail.
  • Strong communication and teamwork skills
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