
1001 - 5000 employees
Founded 2008
đź’Ľ Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
đź•’ December 1, 2025
🇮🇳 India – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
📊 Data Scientist
đź‘» Ghost score 46%
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2008
đź’Ľ Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
• Implementing end-to-end GenAI powered RAG & multi-agent systems: • Providing guidance on system architecture & components • Building TTD system components: • LLM Agents • LLM Agents setup & prompt engineering / prompting strategies • Routing • State management • Vector stores and more generally context providing • Rerankers • Validation and assessment rules • Supporting project delivery: • Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment) • Analyzing and interpreting the findings • Delivering high quality technical solution to the customer • Drawing conclusions and recommendations- including expected benefits
• Familiarity with theory behind various deep learning concepts • Experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models. • Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment • Fluency in Python and object programing, working knowledge of SQL and vector database • Solid experience with Databricks is a must • Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini/Claude • Experience in working with Azure or GCP will be a plus • Commercial experience proven by multiple successful projects in the area of Generative AI, Natural Language Processing or Computer Vision will be a big plus • Experience with microservice architectures • Experience with code repositories and code assistants • Strong business acumen • Ability to come up with creative solutions to address customer problem • Ability to lead juniors in project team
Apply Nowđź•’ November 20, 2025
Azure Data Scientist responsible for designing and deploying machine learning solutions in a remote-first environment. Join Smart Working to break down geographic barriers with innovative teams.
đź•’ September 20, 2025
Build predictive models, LTV and retention analyses, and partner with Paid Media, Product, and Engineering to optimize acquisition and monetization at Forbes Advisor.
🇮🇳 India – Remote
đź’° $200M Corporate Round on 2022-02
⏰ Full Time
🟡 Mid-level
đźź Senior
📊 Data Scientist