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Chief AI Strategist
3 weeks ago
We are looking for a highly skilled and experienced professional to lead our data and AI efforts. The ideal candidate is a strategic thinker who can drive innovation and guide projects from concept to production.
Key Responsibilities:
- Develop and implement scalable data platforms and AI systems, including 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 (MLOps).
- Lead technical teams, mentoring junior engineers, setting best practices, and performing code reviews to ensure high-quality and efficient code.
- Collaborate 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. This includes a deep understanding of 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 desirable.
- 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).
Benefits:
- Opportunity to work on cutting-edge technology.
- Collaborative and dynamic work environment.
- Chance to grow professionally and personally.
