About Company:

Purpleplum is a global fintech infrastructure company building the operating system for modern finance. The company provides a unified digital banking and embedded finance platform that helps banks, fintechs, and enterprises launch and scale financial products quickly. Its core-agnostic, configurable platform integrates with core banking systems, payment networks, and third-party providers to reduce complexity and cut time-to-market from years to weeks. Purpleplum supports a broad range of use cases, including onboarding, accounts, payments, cards, lending, and embedded finance. The company has a global presence across the US, Middle East, and India.

About Role:

We are looking for a full-stack AI/ML Engineer who can own the entire intelligence lifecycle - from data analysis and model research, through production GenAI deployment, to scalable software engineering. This is not a pure research or pure DevOps role; it sits at the intersection of all three.

- Data Science:Statistical analysis, feature engineering, experiment design, model evaluation & business insight
- ML / GenAI:Train, fine-tune & serve ML models; build LLM pipelines, RAG systems & agentic workflows
- MLOps & Engineering: Production deployment, CI/CD, model monitoring, API design & scalable infrastructure

Roles & Responsibilities:

- Data science: Design and run A/B & causal experiments; build feature pipelines; translate model outputs into business recommendations
- ML modelling:Build, train and evaluate classical ML and deep learning models (classification, regression, ranking, NLP)
- GenAI & LLMs:Design RAG pipelines, fine-tune LLMs, build multi-agent systems, optimize prompt chains for production reliability




- Deployment: Containerize and serve models via REST/gRPC APIs; implement CI/CD for ML; set up drift detection and model monitoring
- Collaboration:Partner with product, data engineering and business stakeholders to translate problems into ML solutions.

Required Skills:

- Strong Python and SQL programming
- Machine Learning using PyTorch or TensorFlow
- Generative AI, LLMs, RAG, LangChain, and LangGraph
- OpenAI or Anthropic APIs
- FastAPI or Flask
- Docker, Kubernetes, and Git
- MLflow or Weights & Biases (W&B;)
- AWS, Azure, or GCP
- Statistical analysis and A/B testing
- Vector databases such as Pinecone or Chroma

Good to Have:

- Spark or Databricks
- Kafka
- LoRA/QLoRA fine-tuning
- Terraform or Infrastructure as Code (IaC)
- Experience in FinTech or Banking domain

Preferred Qualifications:

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
- 3–8 years of experience in Machine Learning, Data Science, or AI Engineering.
- Hands-on experience building and deploying production-scale AI/ML solutions.
- Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
- Excellent communication and stakeholder management skills.

Why Join Purpleplum:

- Build cutting-edge AI solutions in the FinTech domain.
- Work on real-world LLM, RAG, and Agentic AI applications.
- Collaborate with experienced product and engineering teams.
- Opportunity to influence the AI strategy and roadmap of a rapidly growing global fintech company.
- Competitive compensation, adaptable work environment, and excellent career growth opportunities.

📌 Full Stack AI ML Engineer (Secunderabad)
🏢 Purpleplum
📍 Secunderabad