Regular Lead Data Scientist Gen AI

Lingaro·Remote(India)
Data & Analytics

WFA Digital Insight

The demand for skilled Data Scientists in AI and Generative Models has seen a significant surge, with the global AI market expected to grow by 34% annually. In this context, Lingaro's commitment to diversity, equity, and inclusion stands out, offering a unique work environment. As a lead in this field, one must possess not only deep technical expertise but also the ability to translate business problems into technical goals. Candidates should be prepared to showcase their experience with deep learning concepts, especially in Generative AI and NLP, and their ability to work in a remote, flexible environment.

Job Description

About the Role

The Lead Data Scientist Gen AI position at Lingaro is a pivotal role that focuses on delivering end-to-end Talk-To-Data (TTD) solutions powered by Large Language Models (LLMs) and Generative AI models. This is a unique opportunity to join a team that values diversity, equity, and inclusion, and is committed to building an inclusive community where all members can thrive. Day-to-day, you will be working closely with the AI team to support the development of novel aspects of Generative AI, including applications such as RAG, summarization, multi-agent workflows, and model fine-tuning. Your deep expertise in GenAI, NLP, and Computer Vision will be crucial in driving the success of these projects.

As part of the Data Science and AI Competency Center, you will be working in a dynamic environment that encourages growth and learning. You will have the opportunity to work with top-tier engineers and experts, and contribute to the development of cutting-edge AI solutions. The role involves a high level of autonomy, with the flexibility to choose your working hours and preferred form of contract, including the option to work remotely.

What You Will Do

  • Support the build of end-to-end GenAI applications, including chatbots, voicebots, and Talk-to-Data systems, focusing on data ingestion, retrieval layer, orchestration, API/backend, and simple UI development.
  • 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 for text, code, and multimodal models, including guardrails, output evaluation, and A/B testing.
  • Integrate and optimize LLMs interaction with external tools, APIs, and data sources in a standardized and scalable way by using Model Context Protocol (MCP) connectors.
  • Conduct business understanding and translate problems into technical goals by defining tasks, auditing data feasibility, and highlighting issues.
  • Support project delivery, ensuring that projects are completed on time and to the required standard.
  • Collaborate with the team to identify areas for improvement and implement changes to increase efficiency and effectiveness.
  • Participate in knowledge sharing sessions and contribute to the development of the company's AI capabilities.
  • Stay updated with the latest advancements in AI and machine learning, and apply this knowledge to improve the team's projects.

What We Are Looking For

  • Familiarity with the theory behind various deep learning concepts, including Generative AI and NLP.
  • Experience with Machine Learning (ML), especially in Generative AI (LLM/LMM) with a focus on Natural Language Processing (NLP) or multimodal models.
  • Fluency in Python and object programming, with a working knowledge of SQL and vector databases.
  • Experience with cloud tech stacks in Azure or GCP.
  • Knowledge of specific Deep Learning and GenAI libraries, including NumPy, PyTorch, HuggingFace, LangChain, LangGraph, and GenAI APIs like OpenAI/Gemini.
  • Strong business acumen and the ability to come up with creative solutions to address customer problems.
  • Experience working with microservice architectures and code repositories.

Nice to Have

  • Experience working with Databricks.
  • Commercial experience proven by multiple successful projects in Generative AI, Natural Language Processing, or Computer Vision.
  • Experience with code assistants and strong knowledge of agile development methodologies.

Benefits and Perks

  • Stable employment with a company that has been on the market since 2008 and has over 1500 talents on board across 7 global sites.
  • Flexible working hours and the option to choose your preferred form of contract.
  • Comprehensive online onboarding program with a 'Buddy' from day one.
  • Unlimited access to the Udemy learning platform from day one.
  • Certificate training programs and upskilling support through capability development programs and knowledge sharing sessions.
  • Internal Gallup Certified Strengths Coach to support your growth and development.
  • The opportunity to grow as the company grows, with 76% of managers being internal promotions.

How to Stand Out

  • Ensure your portfolio includes projects that demonstrate your expertise in Generative AI, NLP, and Computer Vision, especially in the context of Talk-To-Data solutions.
  • Familiarize yourself with Lingaro's approach to diversity, equity, and inclusion, and be prepared to discuss how you can contribute to this environment.
  • Highlight your experience with cloud tech stacks, particularly Azure or GCP, and your knowledge of Deep Learning and GenAI libraries.
  • Prepare examples of how you have translated business problems into technical goals and driven projects forward in a remote, flexible work environment.
  • Research the current market and trends in AI and machine learning to show your passion and commitment to the field.
  • Be ready to discuss your experience with agile development methodologies and your ability to work in a team environment.
  • Consider showcasing your ability to learn and adapt, as well as your creative approach to solving complex problems.

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