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Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world‑class engineering, industry expertise and a people‑centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real‑world impact - be part of a global shift by doing work that matters.

We are seeking a highly skilled and motivated Senio Data Scientist - Computer Vision with expertise in AI to join our Data&AI; team. The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics.

You will work closely with clients and cross‑functional teams to develop production‑ready AI solutions, including RAG pipelines, intelligent agents, and scalable ML systems.

Qualifications

- Proficient with LLMs (GPT, Claude, LLaMA, Mistral) and RAG pipelines using LangChain/LangGraph
- Experience with AWS Bedrock and SageMaker for deploying generative and ML models
- Strong in prompt engineering, embeddings, semantic search, and vector DBs (FAISS, Pinecone)
- Skilled in Python, TensorFlow, Keras, scikit‑learn, Hugging Face, NumPy, Pandas
- Solid understanding of ML/DL techniques (SVMs, DNNs, Gradient Boosting) and applied statistics
- Proficient in SQL, NoSQL (MongoDB), and data visualization
- MLOps experience with CI/CD, model monitoring, experiment tracking, and Docker‑based deployments
- Familiar with FastAPI, Airflow,



Ray for orchestration
- Strong SDLC/project management (Agile, PMP) and collaboration in distributed teams

Additional Information

Discover some of the general benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, referral bonus;
- Career Development: Career coaching, global career opportunities, non‑linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass‑it‑on sessions, workshops, conferences;
- Work‑Life Balance : Hybrid work and versátil working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

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📌 Data Scientist (Medellín)
🏢 Endava
📍 Medellín