What You'll Be Doing:
- Support 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.
- Implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.
- Perform model selection, prompting strategies, and finetuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including guardrails, output evaluation and A/B testing.
- 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 tasks, auditing data feasibility, and highlighting issues.
- Supporting project delivery
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.
- Fluency in Python and object programing, working knowledge of SQL and vector database
- 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.
- 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
Nice to have:
- 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
Skills Required
- Commercial experience with classical data science and ML models
- Fluency in Python
- Working knowledge of SQL
- Experience with cloud platforms like Databricks, GCP, or Azure
- Strong knowledge of customer analytics
- Experience in hyperparameter tuning and model validation frameworks
- Understanding of causal machine learning
What We Do
You’ve got the data — now what’s next? Many businesses are overwhelmed by data and struggle to turn it into real business impact. At Lingaro, we empower global brands and companies to achieve more with data. From strategy development to scalable solutions, we guide you every step of the way. We transform raw data into actionable insights with deep tech expertise, sharp business sense, and a user-centric mindset. Rooted in Europe and operating worldwide, we deliver with agility, a fresh perspective, and a proven track record. Join 75+ leading CPG companies across 30+ countries that have already transformed their business with Lingaro. Be data ready. Be business ready. Be future ready. Contact us at https://lingarogroup.com/contact_us to get started. Want to know more? Check our recognitions & awards below. 🏆 Positioned as a Leader in ISG Provider Lens™ 2025 – Generative AI Services in Strategy & Consulting and Development & Deployment 🏆 Identified as a Leader in ISG Provider Lens™ 2025 – Specialty Analytics Services in Supply Chain and Retail & CPG 🏆 Strong Performer in the Gartner® Peer Insights™ 2022 and 2024 "Voice of the Customer" reports 🏆 Major Contender in the Everest Group® 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment 🏆 Listee in the Gartner® 2024 Guide to Service Providers for GenAI Initiatives 🏆 Great Place to Work® in Poland, the Philippines, and India in 2024
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