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Salary
$29k – $66k per year (Estimated)
Location
Remote/Hybrid (Bengaluru, India)
Seniority
Principal · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
AtkinsRéalis is a Canadian professional services and project management company created when the engineering firm SNC-Lavalin, founded in Montreal in 1911, acquired the British consultancy Atkins in 2017 and adopted the combined name in 2023. It designs and manages infrastructure programmes across transport, water, buildings, energy and defence, and holds a substantial nuclear business through Candu Energy that services and builds heavy water reactors. Headquartered in Montreal and listed in Toronto, the group employs tens of thousands of engineers, planners and consultants across Canada, the United Kingdom, the Middle East and Asia Pacific.

Job Description

Overview

We are seeking a visionary and technically accomplished Principal Data Scientist to lead advanced AI/ML initiatives across the organization. This role demands deep expertise in machine learning, generative AI, computer vision, and cloud-native AI solutions, with a strong emphasis on innovation, governance, and cross-functional collaboration

Your role

  • Architect and lead the development of scalable ML/DL models for real-world applications.
  • Drive innovation using Generative AI, Agentic AI, LLMs, and autonomous systems.
  • Collaborate with engineering, product, and business teams to align AI solutions with strategic goals.
  • Lead MLOps implementation for automated training, evaluation, and deployment (Azure preferred).
  • Establish governance frameworks for ethical and compliant AI development.
  • Mentor and upskill data science teams on emerging technologies and best practices.
  • Represent the organization in external forums, conferences, and thought leadership initiatives.

About you

  • 10+ years in Data Science, AI/ML, with proven leadership in enterprise-scale projects.
  • Expertise in Python, PyTorch, TensorFlow, Hugging Face, LangChain, AutoGen, and cloud platforms (Azure, AWS).
  • Strong foundation in statistical modeling, predictive analytics, NLP, computer vision, and time series forecasting.
  • Experience with LLMs (e.g., GPT, Gemini, Llama), orchestration tools (e.g., Crew AI, LangGraph), and vector databases (e.g., Pinecone, FAISS).
  • Familiarity with quantum computing concepts and their intersection with AI.
  • Proven track record in integrating AI into product development and business operations.
  • Master’s or PhD in Computer Science, Data Science, AI/ML, or related field.
  • Certifications from Microsoft, AWS, IIT-Delhi, or equivalent in AI/ML, GenAI.
  • Experience in Agile environments and leading cross-functional teams.

Reward & benefits

Explore the rewards and benefits that help you thrive - at every stage of your life and your career.

This includes:

  • Comprehensive life insurance coverage.
  • Premium medical insurance for you and your dependents.
  • Generous annual leave balance.
  • Flexible and hybrid work solutions.
  • Remote work opportunities outside of country.
  • Company gratuity scheme.
  • Discretionary bonus program.
  • Relocation assistance.
  • Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.

Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.

Worker Type

Employee

Job Type

Regular

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

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