Lingarogroup4mo ago

Data Scientist

PhilippinesRemoteFull-timemid

Data ScienceData ScientistDataData & AI

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Quick Summary

Overview

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.

Requirements Summary

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

Technical Tools

azuregcphuggingfacelangchainnumpyopenaipythonpytorchsqlab-testingdeep-learningmachine-learning

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.

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

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

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

Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
“Office as an option” model. You can choose to work remotely or in the office.
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.
Great Place to Work Certified Employer in the Philippines.