Data Solutions Strategist

6 days ago

Kollam, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Opportunity: Data Architect

We are seeking a skilled professional to drive our data and AI streams. The ideal candidate is a technical expert with strong strategic thinking skills who can act as an independent consultant guiding projects from concept to production.

Main Responsibilities:
  • Lead Architecture: Develop highly scalable and reliable data platforms and AI systems.
  • Drive Machine Learning Models: Oversee the lifecycle of machine learning models, including experimentation, feature engineering, deployment, monitoring, and maintenance in a production environment.
  • Mentorship and Code Reviews: Act as a technical lead, mentoring junior engineers, setting best practices, and performing code reviews to ensure high-quality and efficient code.
  • Client Collaboration: Work directly with client teams to understand requirements and translate them into a clear technical vision and roadmap.
  • Technology Advancements: 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: Proven experience in AI/ML and data engineering.
  • Scalable Systems: Hands-on experience designing and implementing scalable AI systems in a production environment.
  • Data Platforms: Proficiency with modern data platforms and tools (e.g., Databricks, Snowflake, Apache Spark).
  • Machine Learning Frameworks: Strong command of at least one major ML framework (e.g., TensorFlow, PyTorch).
  • Programming Languages: Expert-level proficiency in at least one key programming language (e.g., Python, Scala, Java).
Benefits:
  • Opportunity for Growth: Collaborate with a team of experienced professionals to advance skills and knowledge.
  • Continuous Learning: Stay current with the latest advancements in AI, LLMs, machine learning, and data engineering.
Why Choose Us:
  • Diverse Projects: Work on diverse projects that challenge and engage.
  • Collaborative Environment: Collaborate with experienced professionals in a dynamic environment.

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