Lead Engineer - AI/ML

Description
We are seeking a highly experienced Lead AI Engineer to design and develop complex AI projects, and lead a team of talented AI Engineers at DataFlow Group.
This role is a combination of hands-on engineering, technical design, and development. The Lead AI Engineer will be responsible for defining the Model experiments, evaluating the architecture, ensuring the technical quality of all AI products, and fostering a culture of innovation.
Responsibilities

• Research and evaluate new Models and determine their applicability to business problems.
• Lead the design and implementation of highly scalable, reliable, and secure AI systems in production.
• Proven ability to apply sophisticated ML skills, including advanced feature engineering, ensemble methods, deep learning architectures, and statistical modeling.
• Provide technical solutions, and guide the Junior and Senior engineers towards delivering the solution.
  
• Demonstrated experience in applied research, resulting in improvements to model accuracy, efficiency, or novel solution development.
• Oversee code quality, model governance, and adherence to MLOps best practices across all projects.
• Work closely with cross functional teams to translate research prototypes into robust, deliverable products.
  

Minimum Qualifications

• Masters or Ph.D. in Computer Science, AI, or a related technical field.
• 7+ years of progressive professional experience in AI/ML engineering, with at least 2 years in a lead engineer role.
• Demonstrated expertise in designing and managing end-to-end MLOps architectures at scale.
• Deep architectural knowledge of cloud-native ML services and infrastructure (Advanced proficiency in one or more major cloud providers: AWS, GCP, or Azure).

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• Proven track record of successfully deploying and maintaining multiple high-impact AI systems in a commercial environment.
• Exceptional system design skills, including API design, microservices, and distributed computing.
• Strong leadership, communication, and collaboration skills with the ability to influence technical direction.
  

Preferred Qualifications

• Deep domain expertise in a specific area (e.g., Generative AI, Large Language Models (LLMs), Reinforcement Learning).
• Contributions to open-source ML projects or relevant publications.
• Familiarity with big data technologies (e.g., Spark, Hadoop).
  

(ref:hirist.tech)