Data Scientist

Data Scientist - Gen AI, RAG, GCP/Vertex AI

India, Remote

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Tasks/ Responsibilities:

• 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

What We're Looking For:

Must Have:

The person we are looking for will become part of Data Science and AI Competency Center working in AI team. The key duties are:

• 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 GCP/VertexAI 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.

Nice to Have:

• Experience in working with Databricks 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

General:

• 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

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

We offer:

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Internal Gallup Certified Strengths Coach to support your growth.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.

Please click on this link to submit your application:

https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=f52eb3a8a2594ac693ec374c1228c5e3