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Michael Page
Lead AI Engineer
Michael Page
Mumbai•On-site•5-8 Yrs•3 hours ago
Job description
Overview
• Opportunity to drive end‑to‑end AI impact at scale • Alignment with advanced, applied AI problem‑solving
Responsibilities
- 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.
- 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.
Qualifications
- Deep understanding of machine learning algorithms, neural networks, and statistical modelling.
- Proficiency in working with large datasets and tools like Pandas, NumPy, or SQL.
- Knowledge of MLOps practices, including model versioning, CI/CD pipelines, and monitoring in production.
- 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.