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.
Requirements
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.