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19 Rhythm Innovations Jobs
AI Architect
Rhythm Innovations
posted 3+ weeks ago
Job Role Insights
Key skills for the job
Job Description
- 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.
RequirementsEducational 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.
- Strategic and analytical mindset with strong problem-solving skills.
- Strong proficiency in Gen AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- 10 to 12 years of experience in AI/ML development, including 3+ years in an architect or leadership role.
- Bachelors in engineering in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is an added advantage.
Employment Type: Full Time, Permanent
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