Synkriom
Edison, NJ
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Job Description :

Send Profiles on : email: gaurav.vaishnavs@
Linked in-- in/gaurav-vaishnav-46719a294/

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.

 

 Additional Skills:

  • Exposure to cloud platforms (AWS, GCP, Azure) and modern DevOps practices.
  • Capable of creating executive-level dashboards and summaries.
  • Strong analytical and problem-solving mindset.
  • Understanding of semantic layers and their role in consistent business logic interpretation.


Client : Confidential
             

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