We are looking for Data Scientist to join Lingaro DS&AI Competency Center, AI team to help our clients deliver value with building end-to-end Talk-To-Data (TTD) Solution powered by LLMs & GenAI models. Lingaro AI team focuses on novel aspects of Generative AI and LLMs with range of applications i.e.: RAG, summarization, multi-agent workflows and model fine tuning. Our deep, PhD level expertise with GenAI, NLP and Computer Vision make us great team to join if you are willing to challenge yourself to new heights. We are looking for a long-term engagement in the space of GenAI and related aspects.
responsibilities :
Build end-to-end GenAI applications such as chatbots, voicebots, Talk-to-Data systems, where you will help buiild: data ingestion, retrieval layer, orchestration (e.g. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed.
Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.
Perform model selection, prompting strategies, and fine-tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including guardrails, output evaluation and A/B testing.
Designing, integrating and optimizing LLMs interaction with external tools, APIs, and data sources in a standardized and scalable way by using Model Context Protocol (MCP) connectors.
Business understanding and translating problems into technical goals by defining success metrics, auditing data feasibility, and aligning stakeholder expectations.
Supporting project delivery.
Supporting Pre-sales activities and initiatives.
requirements-expected :
Familiarity with theory behind various deep learning concepts.
Experience with Machine Learning (ML), especially in 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.
Strong tech stack in Azure or GCP cloud.
Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini.
Hands-on experience designing or operating MCP servers/clients for LLM agents.
offered :
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.
Workation. Enjoy working from inspiring locations in line with our workation policy.
Great Place to Work® certified employer.
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.
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.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
integration events
corporate sports team
corporate library
no dress code
video games at work
coffee / tea
drinks
parking space for employees
leisure zone
employee referral program
charity initiatives
family picnics
Non-corporate atmosphere
Freedom to choose your working model (HO/hybrid/office)
