Job Description & How to Apply Below
Andela
Location Requirement:
India
About Andela
Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.
At Andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We’re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to many exclusive technologist roles.
Join Andela today to access this opportunity and more in our global marketplace!
Our roles are typically filled at lightning speed, so if you’re considering applying, get your application in quickly!
Andela´s Benefits:
-- 100% payment in USD.
This is a fully remote opportunity for one of our esteemed clients.
About the role
This role is part of the Advanced Technology team in the Digital eXperience Group (*/dxg) which co-creates state-of-the-art products and solutions with businesses around the globe. Our growing array of solutions supports the expanding set of Expert Solutions and online product portfolios.
Responsibilities
Develop Design and deliver GenAI features including Retrieval Augmented Generation (RAG), prompt/context engineering, and evaluation frameworks using LLM with appropriate safety controls.
Build solutions for semantic search, natural language understanding, conversational assistants, and intelligent automation by combining embeddings with vector search.
Provide expertise in data wrangling, exploratory data analysis, and experiment design; author and improve test scripts and harnesses for deterministic/stochastic model behavior, regression, and E2E functionality.
Support the development of proofs of concept and production services using Python and FastAPI.
Run load tests, monitor logs, and iterate based on cost/latency/quality signals.
Be a self-starter who aligns technology choices with business goals, practices Responsible AI (guardrails, content filtering, auditability), and continuously improves reliability, safety, and user outcomes.
Collaborate effectively with product and engineering.
Qualifications
Undergraduate or Graduate degree (MS or PhD) in Computer Science, Engineering, Mathematics or equivalent, with focus in ML/AI or a related field.
3+ years’ experience delivering production-ready solutions leveraging AI/ML or GenAI (LLMs, embeddings, semantic search, RAG).
Strong hands-on expertise in Python and libraries/frameworks such as Num Py, pandas, scikit-learn, PyTorch and/or Tensor Flow; experience with Hugging Face Transformers and Sentence Transformers.
Experience integrating LLMs (Azure OpenAI GPT and/or AWS Bedrock Claude) and applying prompt engineering, function/tool calling, and schema-constrained generation.
Experience with vector databases and retrieval (Weaviate preferred; alternatively, Pinecone, Qdrant, etc.).
Experience designing, building, and optimizing training/evaluation pipelines (Amazon Sage Maker Pipelines; or Azure ML Pipelines) and maintaining model/test automation scripts.
Experience developing and operating Python services with FastAPI; containers and cloud platforms including AWS (Fargate, ECS, ECR, Cloud Watch, Dynamo
DB) or Azure equivalents (AKS/ACI/ACR, Monitor, Cosmos DB).
Experience with model serving and performance (NVIDIA Triton, Torch Serve, TF Serving, KServe, Bento
ML, or managed endpoints); ability to run load tests and tune for latency/throughput/cost.
Experience working with agile and Software Development Lifecycle tools (e.g., JIRA, Confluence, Git) and test-driven or automation-first practices.
Nice to have: agentic AI, RAG rerankers, LLM observability, data governance and Responsible AI.
Required skills
Data Science…
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