Artificial Intelligence and Data Engineering Strategist

2 weeks ago

Alleppey, Kerala, India beBeeDataArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Data Architect

Job Description:

We are seeking a highly skilled Data Architect to lead the development of our data and AI systems.

The ideal candidate is not just a technical expert but also a strategic thinker who can drive projects from concept to production, ensuring they are robust, scalable, and real-world.

They should have a proven track record of designing, developing, and deploying high-quality, data-driven AI solutions that meet business objectives.

Key Responsibilities:

  • Lead the architecture, design, and implementation of data platforms and AI systems, building foundational data pipelines, data lakes, and real-time data streams.
  • Drive the end-to-end lifecycle of machine learning models, from experimentation and feature engineering to deployment, monitoring, and maintenance in a production environment.
  • Act as a technical lead, mentoring junior engineers, setting best practices, and performing code reviews to ensure high-quality and efficient code.
  • Work directly with client teams to understand requirements and translate them into a clear technical vision and roadmap.
  • Stay current with the latest advancements in AI, LLMs, machine learning, and data engineering to introduce new technologies and methodologies that improve capabilities.
  • Partner with cross-functional teams to deliver integrated solutions.
Requirements
  • Hands-on experience in AI/ML and data engineering.
  • Proven experience designing and implementing scalable AI systems in a production environment, including MLOps principles and tools.
  • Proficiency with modern data platforms and tools (e.g., Databricks, Snowflake, Apache Spark, Flink, Airflow, Kafka).
  • Strong command of at least one major ML framework (e.g., TensorFlow, PyTorch).
  • Experience with large language models (LLMs) and other generative AI technologies is a significant plus.
  • Exposure to LLMs like Open AI, Claude, Gemini etc and frameworks like LangChain, LangGraph, LangSmith, LangFlow etc.
  • Expert-level proficiency in at least one key programming language (e.g., Python, Scala, Java).

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