Lead Data Scientist

Adesso SE; Pune District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

adesso India is seeking an experienced Lead Data Scientist with strong expertise in Machine Learning, Recommender Systems, and Generative AI to lead enterprise AI initiatives and mentor technical teams. You will guide architecture, model governance, and scalable deployment across cloud platforms.

Applicants should have 8+ years in data science or analytics, with 5+ years deploying enterprise ML solutions and a track record of delivering AI projects in Agile environments on cloud platforms.

Qualifications

• 8+ years in Data Science, ML, AI, or Advanced Analytics.
• 5+ years hands-on deploying enterprise ML solutions.
• Experience leading end-to-end AI initiatives from concept to production.
• Deliver AI solutions in Agile environments on enterprise cloud platforms.

Responsibilities

• Lead end-to-end ML solutions from ideation to production.
• Design scalable ML pipelines for training, testing, and deployment.
• Architect enterprise ML platforms on Azure ML, SageMaker, or Vertex AI.
• Lead design of recommendation engines and related evaluation metrics.
• Design enterprise GenAI solutions (chatbots, RAG) and optimize prompts.
• Collaborate with Data Engineering to ensure data quality and governance.
• Deploy models via APIs, containers, and CI/CD pipelines; monitor performance.

Skills

ML & AI Expertise

Recommender Systems

Generative AI

Data Engineering Understanding

Azure ecosystem experience

SAP ERP knowledge

Six Sigma

ITIL certification

Education

B.Tech/B.S./M.S. in Computer Science, Statistics, Mathematics

Tools

Azure Machine Learning

Databricks

Spark

Hugging Face

OpenAI / Azure OpenAI

Job description

We are seeking an experienced Lead Data Scientist with strong expertise in Machine Learning, Recommender Systems, and Generative AI (LLM & Large Vision Models). The role provides technical leadership in designing, developing, deploying, and scaling enterprise AI solutions while collaborating closely with Data Engineering, ML Engineering, Platform Engineering, and business stakeholders. The ideal candidate will drive AI solution architecture, mentor technical teams, establish best practices, and ensure scalable, secure, production-ready AI implementations.

Key Responsibilities

Data Science & Advanced Analytics — Lead end-to-end ML solutions from ideation to production. Drive EDA, feature engineering, model evaluation, and optimization. Develop predictive and prescriptive analytics models. Translate business problems into scalable AI/data science solutions.

Machine Learning Services (Primary Focus) — Design and implement scalable ML pipelines for training, testing, and deployment. Architect enterprise ML platforms using Azure Machine Learning, AWS SageMaker, or Google Vertex AI. Define model lifecycle management (versioning, monitoring, retraining, governance). Optimize models for performance, scalability, and reliability.

Recommender Systems — Lead design of recommendation engines (collaborative filtering, content-based, hybrid). Design ranking, personalization, and segmentation strategies. Define evaluation metrics (Precision@K, Recall@K, MAP, NDCG). Guide scalable recommendation architectures.

Generative AI (LLM & LVM) — Design enterprise GenAI solutions (chatbots, copilots, document intelligence). Architect RAG solutions using OpenAI, Azure OpenAI, or Hugging Face models. Design use cases for text generation, summarization, classification, and image/video understanding. Lead prompt engineering and LLM optimization.

Collaboration with Data Engineering — Define data requirements, ensure data quality, governance, and availability. Work with Spark, Databricks, Hadoop.

ML Engineering & Deployment Support — Deploy models via APIs/microservices, containerize (Docker, Kubernetes), and integrate into production systems and CI/CD pipelines.

Model Monitoring & Governance — Monitor model drift, performance degradation, and bias. Implement logging, alerting, explainability tools, and Responsible AI practices (fairness, transparency, interpretability).

Qualifications & Experience

8+ years in Data Science, ML, AI, or Advanced Analytics, with 5+ years hands-on deploying enterprise ML solutions. Proven experience leading end-to-end AI initiatives from concept to production, designing scalable AI architectures, mentoring technical teams, and delivering AI solutions in Agile environments on enterprise cloud platforms.

YOUR PROFILE

Education: B.Tech/B.S./M.S. in Computer Science, Statistics, Mathematics, or related field.

Technical Skills

ML & AI Expertise: Supervised & Unsupervised Learning, model optimization, hands-on experience with ML platforms/services.

Recommender Systems: Designing and deploying recommendation engines; knowledge of ranking algorithms and personalization.

Generative AI: LLMs (GPT, Llama, etc.), prompt engineering, RAG frameworks (LangChain, LlamaIndex). Exposure to multimodal AI (LVM) is a strong plus.

Data Engineering Understanding: Data pipelines, ETL processes, data warehousing concepts.

Additional Skills & Preferred Qualifications

Strong communication and stakeholder management skills. Self-motivated, customer-focused, detail-oriented. Azure ecosystem experience (Azure ML, Databricks) preferred. Exposure to real-time data processing. ML/AI/Cloud certifications a plus. SAP ERP knowledge strongly preferred. Six Sigma or ITIL certification a plus.

adesso India, 3B-2 Athulya, Third Floor, Wing B, SEZ, Infopark Phase 1, Cochin, Kerala 682042