Technical Lead - Python, AI Remote in Pune, India - Jobeax
Vacancy description
Technical Lead - Python, AI Remote in Pune, India
acuity analytics
RemoteWork from anywhere
India, Pune
Technical Lead - Python, AI Remote in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
Pipeline development — Design, build, and maintain robust data pipelines to ingest new datasets onto the firm's data platform as demand arises from the investment and analyst teams. Automation — Automate ingestion, transformation, and data-quality workflows to reduce manual effort and speed up onboarding of new sources. Data platform — Structure and organize datasets so they can be integrated, joined, and queried effectively across the platform. • AI enablement (roadmap) — Process large volumes of documents into formats suitable for AI consumption; store and index content in vector databases; Stakeholder collaboration — Work directly with the hiring manager and analysts to scope new requirements, prioritise the pipeline backlog, and respond quickly as new needs emerge.
Required Skills • 4–5+ years of hands-on data engineering experience, ideally within financial services or data intensive environments.
Strong experience building and orchestrating data pipelines with Apache Airflow. • Solid working knowledge of Apache Spark for large-scale data processing.
Strong Python and SQL skills, with a focus on clean, maintainable, production-quality code. Experience designing data models and organizing datasets for downstream integration and querying.
Track record of automating data workflows and building for reliability, monitoring, and data quality.
Exposure to AI/LLM engineering: document processing at scale, embeddings, and vector databases (e.g. pgvector, Pinecone, Weaviate, or similar).
Experience building or supporting retrieval-augmented generation (RAG) workflows.
Familiarity with cloud data platforms and modern data stack tooling.
Prior experience supporting investment management, hedge fund, or capital markets data environments.
Experience working as a dedicated remote resource embedded with a client team
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