Description

Lead the architecture and development of AI/ML models, including deep learning, NLP, computer vision, or generative AI systems.
Define AI strategy and roadmap aligned with business objectives.
Design scalable, production-ready machine learning pipelines and infrastructure.
Oversee model lifecycle management, including training, evaluation, deployment, and monitoring.
Ensure best practices in data quality, model performance, and ethical AI usage.
Collaborate with stakeholders to identify opportunities for AI-driven innovation.
Mentor and guide engineers, fostering a culture of technical excellence and continuous learning.
Stay updated with emerging AI trends and integrate relevant advancements into solutions.

Required Qualifications

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field (PhD preferred).
10+ years of experience in software engineering, with significant focus on AI/ML systems.
Proven experience building and deploying large-scale machine learning models in production environments.
Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, or similar.
Deep understanding of algorithms, data structures, and distributed computing.
Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices.
Demonstrated leadership in driving complex technical projects end-to-end.

Preferred Skills

Experience with generative AI, large language models, or reinforcement learning.
Familiarity with data engineering and big data technologies (e.g., Spark, Kafka).
Strong problem-solving and analytical thinking abilities.
Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.

Key Competencies

What We Offer

(ref:hirist.tech)

Principal AI Engineer