Lead AI Engineer

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Requirements:

• Bachelor’s in computer science or a related field (Master’s is a plus) OR 5+ years of proven experience as ML Engineer.
• Proven software engineering experience and an understanding of developing large-scale systems.
• Experience with containerization: Docker & Kubernetes.
• Experience with AWS cloud services like EKS, ECS, EMR, Lambda.
• Extensive experience with Python and Python-based ML tools and frameworks, especially deep learning libraries like PyTorch.
• Strong understanding of data manipulation techniques, including SQL, Pandas, or Spark.
• Experience in applying statistical analysis and machine learning to real-world problems.
• Experience working collaboratively in cross-functional teams.
• Excellent communication skills for technical solutions presentation.

Responsibilities:

• Use Python and industry-standard ML tools to design, build, and deploy machine learning models efficiently.
• Leverage generative AI models and APIs, along with deep learning frameworks.
• Partner with teams to integrate advanced ML capabilities into products.
• Track and refine model performance, implementing improvements.
• Engage with advancements in ML and software engineering.