Senior Engineer
Fractal Analyticsover 1 year ago
Pune, India +3 moreSenior
Responsibilities
- Rapidly prototype end-to-end AI solutions from data ingestion through model inference and deployment.
- Explore emerging AI tools, LLMs, GenAI, real-time pipelines, and related infrastructure.
- Define ambiguous problem statements and collaboratively shape technical solutions with clients and internal teams.
- Contribute to internal R&D sprints, solution accelerators, and technical deep-dives.
- Serve as a technical thought partner to product owners, architects, and innovation leaders.
Requirements
- 5+ years of experience in software, data, or AI engineering, or equivalent open-source or portfolio proof.
- Fluency in Python and at least one systems or compiled language such as Rust, Go, or TypeScript.
- Hands-on experience with PyTorch, TensorFlow, HuggingFace, LangChain, or similar AI/ML frameworks.
- Familiarity with Docker, Kubernetes, Terraform, and cloud-native workflows involving containers, orchestration, CI/CD, and infrastructure as code.
- Ability to work across data wrangling, modeling, API design, and MLOps.
- Open-source contributions, personal GitHub projects, LLM-powered systems experience, streaming or low-latency infrastructure knowledge, and hackathon or research community participation are preferred.
Benefits
- The role is based in Bangalore or Mumbai.
- The position offers autonomy, exposure to AI innovation, internal R&D, solution accelerators, and technical deep-dives.
Tech Stack
Categories
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.