Technical Lead â AI/ML & Data Platforms
Technical Lead â AI/ML & Data Platforms
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Salary Not Disclosed
1 Vacancy
Job Description
Key Responsibilities:
- Coordinate multiple workstreams in parallel ensuring timely and high-quality delivery.
- Conduct and facilitate daily stand-ups across global time zones maintaining visibility and accountability.
- Deeply understand business domains and the technical architecture enabling informed decision-making and risk identification.
- Collaborate with data engineers AI/ML scientists analysts and product teams to translate goals into actionable plans.
- Track progress using Agile or hybrid methodologies escalating blockers and resolving dependencies.
- Own the lifecycle of tasks - from planning through execution delivery and retrospectives.
- Perform technical reviews of data pipelines and ETL processes identifying architectural or data quality issues.
- Evaluate and optimize data aggregation logic while ensuring alignment with business semantics.
- Contribute to the design and development of Retrieval-Augmented Generation (RAG) pipelines and workflows involving Large Language Models (LLMs).
- Ability to create Tableau reports and dashboards aligned with business KPIs.
Required Skills:
- Strong grasp of data pipelines data architecture and analytics platforms (e.g. Snowflake Tableau).
- Experience in reviewing and optimizing data transformations aggregations and business logic.
- Hands-on familiarity with LLMs and practical implementation of RAG-based AI systems.
- Familiarity with AI/ML workflows model lifecycle and experimentation frameworks.
- Experience managing complex multi-track projects.
- Skilled in project tracking tools like Jira Confluence or equivalent.
- Excellent communication and coordination across technical and non-technical teams.
- Proven experience working with cross-functional globally distributed teams.
Employment Type
Full Time
