AI Architect

At Rhythm, our values form the foundation of our business. We are passionate about customer success, innovation, and our employees. They guide our actions, decisions, and interactions, ensuring that we consistently make a positive impact on the world around us.

Overview:

Rhythm Innovations is looking for an experienced and visionary AI Architect to drive the design, development, and deployment of cutting-edge AI solutions that power our supply chain risk management and other innovative platforms. This role will play a pivotal part in enabling our customers to harness the power of AI for actionable insights, operational efficiency, and strategic decision-making.

Key Responsibilities

• AI Strategy Development:Develop a strategic vision and roadmap for AI initiatives, aligning with Rhythm Innovations objectives and long-term goals.
• Solution Architecture:Design scalable, secure, and efficient AI/ML architectures tailored to our SaaS offerings and customer needs.
• Technology Evaluation:Identify and recommend appropriate tools, frameworks, and platforms for AI development, deployment, and integration.
• Data Pipeline Management:Collaborate with data engineering teams to establish robust data pipelines and ensure data quality for AI modeling.
• Model Development and Optimization:Lead the design, training, and optimization of AI/ML models for applications such as predictive analytics, anomaly detection, and natural language processing (NLP).
• Integration and Deployment:Oversee the seamless integration of AI solutions into existing platforms and ensure scalability, reliability, and performance.
• Governance and Compliance:Establish AI best practices, model governance protocols, and compliance with ethical AI standards and relevant regulations.
• Team Leadership:Mentor a team of AI engineers and data scientists, fostering a culture of collaboration, innovation, and excellence.
• Performance Monitoring:Implement monitoring systems for deployed models, ensuring they deliver accurate, actionable results while continuously improving their performance.

Educational Background:

• Bachelors in engineering in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is an added advantage.

Experience:

• 10 to 12 years of experience in AI/ML development, including 3+ years in an architect or leadership role.
• Proven expertise in delivering enterprise-scale AI solutions, preferably in SaaS or supply chain domains.

Technical Skills:

• Strong proficiency in Gen AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Advanced knowledge of programming languages such as Python, R, or Java.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.
• Familiarity with big data technologies (Hadoop, Spark, Kafka) and databases (SQL/NoSQL).
• Proficiency in MLOps practices for model deployment and management.
• Specialized knowledge in AI domains such as computer vision, NLP, or predictive analytics.

Soft Skills:

• Strategic and analytical mindset with strong problem-solving skills.
• Excellent communication and stakeholder management capabilities.
• Leadership qualities with the ability to inspire and mentor teams.