Senior Data Scientist

adesso orange AG; India; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

adesso orange AG in India is seeking a highly skilled Data Scientist with strong expertise in ML services, Recommender Systems, and Generative AI to design, develop, deploy, and scale intelligent data products and AI solutions.

You will collaborate with Data Engineering, Data Science, and ML Engineering teams to build end-to-end ML models, scalable pipelines on cloud platforms, and GenAI capabilities, including RAG architectures and prompt engineering.

Qualifications

• 5–8 years of experience in Data Science, ML, or AI.
• End-to-end ML model development, deployment and production support.
• Hands-on predictive modeling with Python and ML frameworks.
• Experience with cloud ML platforms (Azure ML, AWS SageMaker, or Vertex AI).
• Experience developing GenAI solutions using LLMs, prompt engineering, and RAG frameworks.

Responsibilities

• Develop and deploy end-to-end ML models from ideation to production.
• EDA, feature engineering, and model evaluation.
• Build predictive and prescriptive models using statistical and ML techniques.
• Design and implement scalable ML pipelines for training, testing, and deployment.
• Build and deploy LLM-powered solutions: chatbots and document intelligence.
• Work with data engineering to ensure data quality and governance.
• Deploy models via APIs/microservices; containerize with Docker/Kubernetes.

Skills

Python

SQL

Recommender systems

Machine Learning

Data engineering

Education

B.Tech/B.S./M.S. in CS/Statistics/Mathematics

Tools

Azure ML

AWS SageMaker

Google Vertex AI

Spark

Databricks

Hadoop

Docker

Kubernetes

Job description

We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning services, Recommender Systems (RS), and Generative AI (LLM & LVM). The role collaborates closely with Data Engineering, Data Science, and ML Engineering teams to design, develop, deploy, and scale intelligent data products and AI solutions.

Key Responsibilities

Data Science & Advanced Analytics

• Develop and deploy end-to-end ML models from ideation to production.
• Perform EDA, feature engineering, and model evaluation.
• Build predictive and prescriptive models using statistical and ML techniques.

Machine Learning Services (Primary Focus)

• Design and implement scalable ML pipelines for training, testing, and deployment.
• Work with ML platforms: Azure ML, AWS SageMaker, GCP Vertex AI.
• Optimize models for performance, scalability, and reliability.
• Design and build recommendation engines: collaborative, content-based, hybrid.
• Work with large-scale datasets for ranking, personalization, user segmentation.

Generative AI (GenAI – LLM & LVM)

• Build and deploy LLM-powered solutions: chatbots, copilots, document intelligence.
• Implement RAG (Retrieval-Augmented Generation) architectures.
• Work with models such as OpenAI, Azure OpenAI, Hugging Face.
• Develop use cases for text generation, summarization, classification, and image/video understanding (LVM).
• Optimize prompts and manage prompt engineering workflows.

Collaboration with Data Engineering

• Ensure data quality, governance, and availability.
• Work with Spark, Databricks, Hadoop.
• Deploy models via APIs/microservices; containerize with Docker, Kubernetes.
• Integrate models into production systems and CI/CD pipelines.
• Monitor model drift, performance degradation, and bias.
• Implement logging, alerting, and explainability tools.

Qualifications & Experience

• 5–8 years in Data Science, Machine Learning, or AI.
• Proven end-to-end ML model development, deployment, and production support.
• Hands-on predictive modeling using Python and modern ML frameworks.
• Experience with cloud ML platforms (Azure ML, AWS SageMaker, or Google Vertex AI).
• Experience developing GenAI solutions using LLMs, prompt engineering, and RAG frameworks.
• Experience collaborating with Data Engineering and ML Engineering teams.

YOUR PROFILE

Education

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

Technical Skills

• Programming: Python (mandatory), SQL
• ML Libraries: Scikit-learn, TensorFlow, PyTorch
• ML & AI: Supervised & unsupervised learning, model optimization
• Recommender Systems: engine design, ranking algorithms, personalization
• Data Engineering: pipelines, ETL, data warehousing

Preferred Qualifications

• Self-motivated, customer-focused, detail-oriented

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