Data and AI Strategist

24 hours ago


Alwar, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Opportunity: Data and AI Strategist

We are seeking an experienced professional to drive our data and AI initiatives. The ideal candidate should have a proven track record of designing, developing, and deploying robust, scalable, and real-world AI systems.

Key Responsibilities:

  • Lead the development of strategic AI plans, integrating them into existing business strategies.
  • Oversee 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 closely with cross-functional teams to understand requirements and translate them into clear technical visions and roadmaps.
  • Stay current with the latest advancements in AI, LLMs, machine learning, and data engineering to introduce new technologies and methodologies that improve capabilities.

Requirements:

  • Hands-on experience in AI/ML and data engineering.
  • Proven experience designing and implementing scalable AI systems in a production environment.
  • 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).
  • Expert-level proficiency in at least one key programming language (e.g., Python, Scala, Java).

Preferred Technologies:

  • Databricks
  • Snowflake
  • Apache Spark
  • Flink
  • Airflow
  • Kafka
  • TensorFlow
  • PyTorch
  • Python
  • Scala
  • Java

About This Role:

  • Opportunity to work on cutting-edge AI projects and contribute to the development of innovative solutions.
  • Collaborative team environment with opportunities for growth and professional development.
  • Chance to make a meaningful impact on the organization's success through the application of AI and data engineering expertise.

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