Data Scientist (Generative AI)

Lingaro; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Lingaro is seeking a Data Scientist to join the DS&AI Competency Center to build Talk-To-Data solutions powered by GenAI. You will work on end-to-end GenAI apps, RAG pipelines, and model fine-tuning, collaborating with clients to translate business problems into technical goals.

Proficiency in Python, SQL, NLP, and cloud stacks (Azure/GCP) is essential, with hands-on ML, multimodal models, and tooling like LangChain, PyTorch, and LangGraph.

Qualifications

• Fluency in Python and object programing.
• Working knowledge of SQL and vector databases.
• Experience with GenAI and NLP or multimodal models.
• familiarity with modern DL concepts.

Responsibilities

• Build end-to-end GenAI applications (chatbots, voicebots, Talk-to-Data).
• Design and implement RAG pipelines with vector databases and hybrid search.
• Perform model selection, prompting, and fine-tuning (LoRA/QLoRA/SFT).
• Design MCP connectors for LLMs interactions with tools and data sources.
• Translate business problems into technical goals and success metrics.
• Support project delivery and pre-sales initiatives.

Skills

Python

SQL

NLP

GenAI

Deep learning theory

Vector databases

Azure/GCP cloud

Model evaluation

MCP protocol

Team leadership

Tools

LangChain

LlamaIndex

LangGraph

PyTorch

HuggingFace

OpenAI APIs

Gemini

Databricks

Job description

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.

Tasks:

• 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.

What We’re Looking For:

• 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: PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini.

• Hands-on experience designing or operating MCP servers/clients for LLM agents.

What Will Set You Apart:

• Experience in working with Databricks will be a plus.

• Commercial experience proven by multiple successful projects in 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.