AI Architect - Python

<p><p><b>Key Responsibilities :</b></p><p><br/></p><p>- Define and drive the AI architecture strategy aligned with business goals and technology standards.<br/><br/></p><p>- Design end-to-end AI/ML solutions encompassing data ingestion, processing, modeling, deployment, and monitoring.<br/><br/></p><p>- Evaluate and select appropriate AI frameworks, tools, and cloud services to meet project requirements.<br/><br/></p><p>- Collaborate with data scientists, machine learning engineers, and software developers to integrate AI models into production systems.<br/><br/></p><p>- Develop reusable AI components and frameworks to accelerate development and deployment.<br/><br/></p><p>- Ensure AI solutions are scalable, secure, and maintainable, adhering to best practices and compliance standards.<br/><br/></p><p>- Lead proof-of-concept projects and pilot AI technologies to demonstrate feasibility and value.<br/><br/></p><p>- Guide the organization in adopting AI technologies and building AI capabilities through training and mentorship.<br/><br/></p><p>- Monitor emerging AI trends, tools, and research to continuously enhance AI capabilities.<br/><br/></p><p>- Work closely with IT and business teams to ensure seamless integration of AI solutions with existing infrastructure.<br/><br/><b>Required Qualifications : </b><br/><br/></p><p>- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.<br/><br/></p><p>- 7+ years of experience in software engineering, data science, or AI development.<br/><br/></p><p>- 3+ years of experience in AI/ML architecture or AI solution design.<br/><br/></p><p>- Strong expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.<br/><br/></p><p>- Proficiency in programming languages such as Python, R, or Java.<br/><br/></p><p>- Experience with cloud AI services like AWS SageMaker, Google AI Platform, Azure ML, or others.<br/><br/></p><p>- Deep understanding of machine learning algorithms, natural language processing (NLP), computer vision, or other AI domains.<br/><br/></p><p>- Familiarity with big data technologies (Hadoop, Spark) and data engineering pipelines.<br/><br/></p><p>- Solid knowledge of software architecture principles, microservices, APIs, and containerization (Docker, Kubernetes).<br/><br/></p><p>- Strong problem-solving skills and ability to translate complex business needs into technical AI solutions.<br/><br/></p><p>- Excellent communication and leadership skills to work with cross-functional teams and stakeholders.<br/><br/><b>Preferred Qualifications : </b><br/><br/></p><p>- Advanced degree (Masters or PhD) in AI, Machine Learning, Data Science, or related discipline.<br/><br/></p><p>- Experience deploying AI solutions at scale in cloud or hybrid environments.<br/><br/></p><p>- Knowledge of AI ethics, fairness, and governance frameworks.<br/><br/></p><p>- Hands-on experience with automated machine learning (AutoML) and MLOps practices.<br/><br/></p><p>- Prior experience leading AI teams or managing AI projects</p><br/></p> (ref:hirist.tech)