Data Science and Machine Learning Specialist
Erm
Lead AI/ML solutions for sustainability, ESG, and workplace safety.
21 days ago ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Greater Kolkata Area
Hybrid
Company Size
8,000 Employees
Service Specialisms
Environmental Consulting
Sustainability
Engineering
Risk Management
Health & Safety
Environmental Impact Assessment
Geotechnical Engineering
Water Management
Sector Specialisms
Chemical
Financial Services
Manufacturing
Mining & Metals
Oil & Gas
Pharmaceutical
Power
Renewables
Role
What you would be doing
mlops
model development
llm architecture
data strategy
client advisory
responsible ai
- Collaborate with management consulting teams, domain experts, and technology architects to ensure business alignment and technical excellence.
- Contribute to thought leadership through publications, internal assets, and client workshops.
- Drive innovation initiatives, identifying opportunities to apply Generative AI, Responsible AI, and sustainability-focused analytics.
- Mentor and guide junior AI/ML professionals, fostering capability development within the team.
- Manage end-to-end AI/ML lifecycle - from solution scoping and data strategy to model development, MLOps, and production deployment.
- Architect LLM- and BERT-based applications, ensuring scalability, robustness, and security in enterprise environments.
- Lead the design, development, and deployment of AI/ML solutions, accelerators, and frameworks that address client challenges in sustainability, ESG, and workplace safety.
- Act as a trusted advisor to clients, engage with senior stakeholders to understand business needs, shape AI/ML strategy, and deliver impactful solutions.
- Ensure adherence to data governance, ethics, and responsible AI principles in all solution deliveries.
What you bring
tensorflow
azure ai
mlops
phd
leadership
6‑8 years
- Knowledge of Responsible AI principles, model governance, bias/fairness testing.
- Career Level: CL3
- Proven experience in consulting or client-facing environments, with a track record of delivering AI/ML strategy and execution for enterprise clients.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or related fields. PhD is a plus.
- Experience: 6–8 years of AI/ML project delivery, including at least 2–3 years in leading teams or architecting solutions.
- Strong executive-level communication and presentation skills — ability to influence CxO stakeholders.
- Excellent interpersonal, leadership, and team management skills.
- AI/ML Frameworks: Advanced experience with TensorFlow, PyTorch, Hugging Face Transformers (BERT, GPT, LLaMA, etc.).
- Strong business acumen with ability to bridge strategy, technology, and client needs.
- Data & Analytics: Python, R, SQL, Spark, Databricks
- Deep understanding of sustainability, ESG frameworks, or health & safety data ecosystems is strongly preferred.
- Microsoft Ecosystem: Azure AI, Azure ML, Azure OpenAI Service, Microsoft Fabric, Power BI, Azure Synapse.
- Hands-on Experience in AI Agent development: demonstrable experience in agentic-AI development using Python, LangGraph, LangChain, and Model Context Protocol.
- Demonstrated expertise in solution architecture, MLOps, and scaling AI/ML solutions in production.
- Generative AI/LLM Engineering: Fine-tuning, prompt orchestration, RAG (retrieval augmented generation), embeddings, vector databases (FAISS, Pinecone, Azure Cognitive Search).
- MLOps & Cloud Deployment: MLflow, Kubeflow, Docker, Kubernetes, GitHub Actions, Azure DevOps.
- Familiarity with ESG reporting standards (GRI, SASB, ESRS) and safety analytics is an advantage.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
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Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
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Company
Overview
Revenue $1.3B
Annual Revenue
Reports over US$1.3 billion annually.
40+ Countries
Global Presence
Operates across over 40 countries.
KKR Backing
Since 2021
Privately owned and backed by KKR since 2021.
Thousands Annually
Projects Undertaken
Undertakes thousands of projects each year.
- Flourished through merging UK and US consultancies, building a truly global footprint.
- Has carried out major environmental assessments for projects like High Speed 1, HS2, Keystone and Dakota Access pipelines.
- Works in sectors from mining, energy and chemicals to manufacturing, pharma, power, renewables, finance and TMT.
- Combines strategic advisory and technical delivery, using digital tools and proprietary methodologies.
- Notably led environmental impact assessments for cross-border hydroelectric, rail and oil infrastructure.
- Safety is our number one priority.
- We are passionate about what we do.
- We collaborate to achieve excellence.
- We take personal responsibility and act with integrity.
- We embrace change and seek innovative solutions.
- We care about our people and work with them to unlock their potential.
50% reduction
Carbon Footprint Reduction
Aiming to reduce operational carbon footprint by half by 2025.
70M tons CO2
CO2 Emissions Reduced
Helped clients reduce emissions by over 70 million tons of CO2 equivalent annually.
- Committed to achieving net zero by 2030.
- Works with clients to support the transition to renewable energy sources.
- Aims to incorporate sustainability into all aspects of business decision-making.
50% women
Senior Leadership Team
Half of the senior leadership team consists of women, reflecting strong gender diversity at executive levels.
40% by 2025
Global Workforce Goal
Aim to achieve 40% female representation in the global workforce by the year 2025, demonstrating a commitment to broader diversity initiatives.
Active tracking
Gender Balance Monitoring
The company consistently monitors and reports on gender balance across all levels of the organization to ensure ongoing progress and accountability.
- They have introduced initiatives to support the recruitment and retention of diverse talent.
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