REQUIREMENTS

5+ years of experience developing and implementing ML solutions in enterprise environments.
Strong expertise in Computer Vision and/or Natural Language Processing, Time Series Analysis & Forecasting, and MLOps & Model Deployment.
Hands-on experience with data processing pipelines and cloud platforms (Azure/AWS).
Strong Python programming skills and proficiency in Deep Learning frameworks.
Understanding of data privacy, security regulations, and enterprise compliance requirements.
Excellent communication and presentation skills in English.
Ability to translate complex ML concepts into business-friendly insights.
Strong problem-solving and analytical thinking skills.
Passion for learning and staying up-to-date with AI trends and emerging technologies.

NICE TO HAVE

RESPONSIBILITIES

Lead AI discovery workshops with enterprise clients, identifying opportunities for ML applications.
Design and architect scalable ML solutions that align with business objectives.
Evaluate technical environments and assess data readiness for AI adoption.
Develop proof of concepts and prototypes for AI/ML models.
Build, optimize, and deploy ML models using best practices in MLOps.
Collaborate with cross-functional teams to ensure seamless AI integration into enterprise workflows.
Provide technical expertise and strategic guidance in client-facing situations.

Senior ML Engineer (AI Product)