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For Employers

Premium Employer

AtkinsRealis

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4.0

based on 1.1k Reviews

1 AtkinsRealis Specialist Job

Principal AI Specialist

Atkins Global

4.0

based on 1.1k Reviews

7-11 years

Gurgaon / Gurugram, Bangalore / Bengaluru

1 vacancy

Principal AI Specialist

AtkinsRealis

posted 5d ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Python Consulting Artificial Intelligence Machine Learning Project Management

+ 3 more

Job Description

AI Strategy and Leadership: Lead the strategic direction of generative AI initiatives, identifying innovative applications and solutions to address complex business challenges.
Model Design and Development: Architect, develop, and deploy cutting-edge generative AI models (e.g., GANs, Transformers, VAEs) to solve real-world problems and create new AI capabilities.
Thought Leadership: Act as a thought leader in the AI community, contributing to the development of AI frameworks, methodologies, and best practices within the organization.
Cross-Functional Collaboration: Collaborate with data scientists, software engineers, domain experts, and stakeholders to ensure the seamless integration of generative AI solutions into business operations.
Mentorship and Team Development: Mentor and guide junior AI team members, fostering a culture of innovation, knowledge sharing, and continuous learning within the AI team.
Research and Innovation: Lead research initiatives to explore and implement state-of-the-art generative AI techniques, keeping the company at the forefront of AI technology advancements.
Data Strategy: Oversee data collection, preprocessing, and management to ensure the availability of high-quality datasets for training and validating AI models.
Scalability and Optimization: Optimize the performance, efficiency, and scalability of AI models, ensuring they can be effectively deployed in production environments.
Stakeholder Communication: Communicate AI concepts, project progress, and technical insights to both technical and non-technical stakeholders.

Required Skills & Qualifications:

Experience: 10+ years of experience in machine learning, AI, or data science, with at least 5 years specifically focused on generative AI and deep learning.
Technical Expertise: Extensive experience with generative models (e.g., GANs, VAEs, transformers) and machine learning frameworks like TensorFlow, PyTorch, and similar technologies.
Programming Skills: Advanced proficiency in Python and other programming languages relevant to AI, with a solid understanding of data science libraries such as NumPy, pandas, and scikit-learn.
Domain Knowledge: Expertise in AI subfields like natural language processing (NLP), computer vision, reinforcement learning, and their application in real-world scenarios.
Mathematical Foundation: Strong foundation in statistics, linear algebra, probability, optimization, and other mathematical principles critical to AI model development.
Leadership Skills: Proven experience leading AI teams, managing large-scale projects, and driving AI initiatives that deliver measurable business impact.
Publication Record: Strong track record of published research in top-tier AI and machine learning journals or conferences.
Problem-Solving: Exceptional analytical skills with the ability to translate complex problems into structured, data-driven solutions.
Communication: Excellent verbal and written communication skills, with the ability to clearly present complex AI concepts to diverse audiences.

Preferred Qualifications:

Advanced Degree: Master s in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Industry Expertise: Experience in applying generative AI in Engineering & Construction industries.
Patent Development: Experience in patenting AI technologies or contributing to proprietary AI innovations.
Open-Source Contributions: Active participation in AI open-source communities, contributing to widely used AI libraries or projects.

Benefits:

Competitive Compensation: Highly competitive salary and performance-based bonuses.
Innovation-Driven Culture: Work in an environment that fosters creativity, innovation, and the exploration of new AI technologies.

Employment Type: Full Time, Permanent

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