Senior Data Scientist at Atkinsréalis in AtkinsRéalis - Corporate Office Bangalore | IN.Gurgaon.DLF Cyber City | Kablio

Role

Description

mlops

azure

agentic ai

model deployment

computer vision

nlp

Work with large-scale datasets and implement MLOps pipelines for automated training, evaluation, and deployment on cloud (Azure preferred).
Apply and experiment with agentic AI approaches to build autonomous decision-making systems.
Lead end-to-end development of ML/DL models from data preprocessing to model deployment.
Mentor junior data scientists and contribute to AI knowledge sharing across teams.
Design and implement advanced solutions using computer vision, NLP, and generative AI models (e.g., Transformers, GANs).
Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems.
Collaborate with engineering, product, and business stakeholders to align AI solutions with business outcomes.

Requirements

master’s

8+ years

python

mlops

azure ai

generative

Master’s in Computer Science, Data Science, or related field.
8+ years of industry experience in data science, ML, or AI, with demonstrated project ownership.
Experience working in cloud-native AI environments (Azure, AWS, or GCP).
Publications, patents, or active participation in AI communities or open-source contributions.
Exposure to vector search engines, knowledge graphs, and retrieval-augmented generation (RAG).
Strong background in generative models (e.g., LLMs, GANs, VAEs) and foundational ML techniques.
Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn, etc.
Hands-on experience with Azure AI services (e.g., Azure ML, Cognitive Services, Azure OpenAI, Azure Blob for data handling).
Solid understanding of MLOps practices (CI/CD, version control, model registry, monitoring).
Experience in implementing agentic AI systems using modern orchestration tools and frameworks.
Strong analytical, problem-solving, and communication skills.
Expertise in computer vision, including object detection, image classification, and segmentation.

Benefits

Opportunities for training and, as the team grows, career progression or sideways moves.
An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.
A hybrid working environment with flexibility and great opportunities.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

C$12.5B

Backlog

Record backlog amid surging demand.

113 km

Bike/Ped Facilities

It has designed an extensive network of cycling and pedestrian infrastructure.

Its tech‑forward Richland Technology Center supports robotics, digital and net‑zero innovation in energy and cleanup.
A nuclear engineering pioneer, it’s the owner’s engineer for U.S. small modular reactor projects and refurbishments.
A trusted tolls and highway consultant, it supports major state DOTs.

Culture + Values

Engineering a better future for our planet and its people.
Safety: We put safety at the heart of everything we do, to safeguard people, assets and the environment.
Integrity: We do the right thing, no matter what, and are accountable for our actions.
Innovation: We redefine engineering by thinking boldly, proudly and differently.
Collaboration: We work together and embrace each other’s unique contribution to deliver amazing results for all.
Excellence: We are proud to do our best, achieve high standards, creating environments where all can thrive.

Environment + Sustainability

Net-zero by 2030

Emissions Goal

Achieved a net-zero target for operational emissions by 2030, marking a significant milestone in sustainability efforts.

87% reduction

Emissions Drop

Reduced Scope 1 & 2 emissions by ~87% compared to a 2019 baseline through strategic measures like divestment and fleet electrification.

62 score

Carbon Performance

Achieved a DitchCarbon score of 62, significantly higher than the industry average of 20, ranking in the top 1% globally.

Over 50%

Sustainable Revenue

More than half of 2022 revenue came from sustainable projects, including clean energy, water sanitation, and mass transit initiatives.

Achieved PAS 2080:2023 certification for whole‑life carbon management in infrastructure.
2022 emissions breakdown: Scope 1 (6,845 tCO₂e), Scope 2 (4,251 tCO₂e), Scope 3 (33,381 tCO₂e); Scope 1‒2 intensity at 0.3 tCO₂e/FTE.

Inclusion & Diversity

No Data Available

Gender Ratio Disclosed?

The company does not publicly share specific numerical data regarding gender ratios or other diversity metrics.

Corporate statement describes an 'inclusive, diverse and energized approach' and 'open culture' founded on core values.
Asia region emphasises sense of belonging, mutual respect, personal touch, interest groups and support for work–life balance.
Culture of learning highlighted through technical Lunch & Learn, case‑study sharing and virtual webinars with global mobility experiences.

Articles

Graduates FAQ – careers

AtkinsRéalis sponsorship – IBTTA

Reddit – interning at AtkinsRealis tips

Role

Description

mlops

azure

agentic ai

model deployment

computer vision

nlp

Work with large-scale datasets and implement MLOps pipelines for automated training, evaluation, and deployment on cloud (Azure preferred).
Apply and experiment with agentic AI approaches to build autonomous decision-making systems.
Lead end-to-end development of ML/DL models from data preprocessing to model deployment.
Mentor junior data scientists and contribute to AI knowledge sharing across teams.
Design and implement advanced solutions using computer vision, NLP, and generative AI models (e.g., Transformers, GANs).
Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems.
Collaborate with engineering, product, and business stakeholders to align AI solutions with business outcomes.

Requirements

master’s

8+ years

python

mlops

azure ai

generative

Master’s in Computer Science, Data Science, or related field.
8+ years of industry experience in data science, ML, or AI, with demonstrated project ownership.
Experience working in cloud-native AI environments (Azure, AWS, or GCP).
Publications, patents, or active participation in AI communities or open-source contributions.
Exposure to vector search engines, knowledge graphs, and retrieval-augmented generation (RAG).
Strong background in generative models (e.g., LLMs, GANs, VAEs) and foundational ML techniques.
Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn, etc.
Hands-on experience with Azure AI services (e.g., Azure ML, Cognitive Services, Azure OpenAI, Azure Blob for data handling).
Solid understanding of MLOps practices (CI/CD, version control, model registry, monitoring).
Experience in implementing agentic AI systems using modern orchestration tools and frameworks.
Strong analytical, problem-solving, and communication skills.
Expertise in computer vision, including object detection, image classification, and segmentation.

Benefits

Opportunities for training and, as the team grows, career progression or sideways moves.
An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.
A hybrid working environment with flexibility and great opportunities.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

C$12.5B

Backlog

Record backlog amid surging demand.

113 km

Bike/Ped Facilities

It has designed an extensive network of cycling and pedestrian infrastructure.

Its tech‑forward Richland Technology Center supports robotics, digital and net‑zero innovation in energy and cleanup.
A nuclear engineering pioneer, it’s the owner’s engineer for U.S. small modular reactor projects and refurbishments.
A trusted tolls and highway consultant, it supports major state DOTs.

Culture + Values

Engineering a better future for our planet and its people.
Safety: We put safety at the heart of everything we do, to safeguard people, assets and the environment.
Integrity: We do the right thing, no matter what, and are accountable for our actions.
Innovation: We redefine engineering by thinking boldly, proudly and differently.
Collaboration: We work together and embrace each other’s unique contribution to deliver amazing results for all.
Excellence: We are proud to do our best, achieve high standards, creating environments where all can thrive.

Environment + Sustainability

Net-zero by 2030

Emissions Goal

Achieved a net-zero target for operational emissions by 2030, marking a significant milestone in sustainability efforts.

87% reduction

Emissions Drop

Reduced Scope 1 & 2 emissions by ~87% compared to a 2019 baseline through strategic measures like divestment and fleet electrification.

62 score

Carbon Performance

Achieved a DitchCarbon score of 62, significantly higher than the industry average of 20, ranking in the top 1% globally.

Over 50%

Sustainable Revenue

More than half of 2022 revenue came from sustainable projects, including clean energy, water sanitation, and mass transit initiatives.

Achieved PAS 2080:2023 certification for whole‑life carbon management in infrastructure.
2022 emissions breakdown: Scope 1 (6,845 tCO₂e), Scope 2 (4,251 tCO₂e), Scope 3 (33,381 tCO₂e); Scope 1‒2 intensity at 0.3 tCO₂e/FTE.

Inclusion & Diversity

No Data Available

Gender Ratio Disclosed?

The company does not publicly share specific numerical data regarding gender ratios or other diversity metrics.

Corporate statement describes an 'inclusive, diverse and energized approach' and 'open culture' founded on core values.
Asia region emphasises sense of belonging, mutual respect, personal touch, interest groups and support for work–life balance.
Culture of learning highlighted through technical Lunch & Learn, case‑study sharing and virtual webinars with global mobility experiences.

Articles

Graduates FAQ – careers

AtkinsRéalis sponsorship – IBTTA

Reddit – interning at AtkinsRealis tips