THS Principal AI/ML Architect
4 weeks ago
About Job
Looking for senior resources with 10+ years of experience in the industry and at least 4 to 5 experience in leading AI/ML initiatives. Candidates will be responsible for leading the AI/ML architecture in THS products and owning the R&D roadmap in this area.
Key Responsibilities
Technical consultation & issue analysis in AI/ML areas to the product team Define technical strategies aligned with business goals for the overall data science infrastructure and systems architecture. Provide leadership and guidance to data science teams, ensuring efficient collaboration. Drive the development of data science solutions, integrating machine learning, analytics, and big data technologies. Continuously optimize data science models, algorithms, and systems for improved efficiency and scalability. Ensure data governance policies, security measures, and regulatory compliance are in place. Collaborate with various lines of business to understand needs and align data science efforts with organizational objectives. Effectively communicate technical concepts, strategies, and solutions to diverse stakeholders.Essential Experience
Deep Technical Expertise: Strong understanding of machine learning & deep learning concepts, algorithms, and frameworks Proficiency in programming languages: Python, R, and knowledge of libraries like TensorFlow, PyTorch, and scikit-learn. Infrastructure, DevOps & MLOps skills: Experience with cloud platforms, containerization technologies, and DevOps practices. Knowledge of tools like Docker, Kubernetes, Jenkins, Git, and CI/CD pipelines. Data Engineering Skills: Understanding of data engineering principles, data processing, and data storage technologies like Hadoop, Spark, SQL, NoSQL databases. Monitoring and Maintenance: Creating monitoring systems to track model performance, data drift, and system health in real-time. Implementing solutions for model retraining, version control, and ensuring models remain accurate and up-to-date. Knowledge in cloud computing concepts and public cloud deployments AWS (preferable) Exposure to Agile methodologies & processes Excellent communication and teamwork skills Excellent Analytical skills-
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