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Lead AI Engineer

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  • Posted 23 hours ago
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Early Applicant

Job Description

  • Opportunity to drive endtoend AI impact at scale
  • Alignment with advanced, applied AI problemsolving

Job Description

The key responsibilities include -

  • Model Development: Design, develop, and optimize cutting-edge AI/ML models, including deep learning, reinforcement learning, NLP, and computer vision solutions, to address business and technical challenges.
  • Project Leadership: Lead a small team of 2-5 engineers and data scientists on 2-3 AI projects simultaneously, ensuring timely delivery, high-quality outcomes, and alignment with organizational goals.
  • End-to-End Implementation: Oversee the full lifecycle of AI solutions, from data pre-processing and feature engineering to model training, evaluation, deployment, and monitoring in production environments.
  • Collaboration: Work closely with cross-functional teams, including product managers, software engineers, and domain experts, to integrate AI solutions into scalable, production-ready systems.
  • Innovation: Stay abreast of the latest advancements in AI/ML research and technologies, and propose innovative approaches to enhance existing systems and workflows.
  • Mentorship: Guide and mentor junior engineers and team members, fostering a culture of technical excellence and continuous learning.
  • Performance Optimization: Optimize AI models for performance, scalability, and efficiency, ensuring they meet latency, throughput, and resource constraints in production.
  • Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices and contributing to shared codebases.

The Successful Applicant

A successful Lead AI Engineer should have:

  • A strong educational background in Computer Science, Data Science, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on developing and deploying production-grade AI solutions.
  • Proven experience leading small teams (2-5 members) on 2-3 AI/ML projects, delivering successful outcomes from ideation to production.
  • Hands-on expertise in building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
  • Strong programming skills in Python, with experience in production-level coding and software engineering practices.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying AI models in distributed, scalable environments.
  • Deep understanding of machine learning algorithms, neural networks, and statistical modelling.
  • Proficiency in working with large datasets and tools like Pandas, NumPy, or SQL.
  • Experience with model optimization techniques, such as quantization, pruning, and distributed training.
  • Knowledge of MLOps practices, including model versioning, CI/CD pipelines, and monitoring in production.

What's on Offer

  • Opportunity to work on cutting-edge AI projects with real-world impact.
  • Collaborative and innovative work environment with a focus on technical excellence.
  • Access to state-of-the-art tools, technologies, and resources to fuel your success.

More Info

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About Company

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds&#x3B; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Job ID: 146605067

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