Machine Learning Specialist

You are looking for a ML Architect to define the end-to-end architecture of ML systems from data ingestion and model training to deployment and monitoring. As an ML Architect at Impetus Technologies, your key responsibilities will include: - Designing comprehensive ML system architectures, including MLOps workflows - Overseeing data pipeline integration, training workflows, and CI/CD processes - Defining model deployment strategies, versioning, monitoring, and scaling - Designing Deep learning solutions for Audio and Videos - Partnering with data scientists, engineers, and DevOps to bridge development and operations - Ensuring compliance, governance, and performance benchmarks are met - Evaluating new ML tools and platform technologies to improve architecture - Staying up to date with the latest advancements in the fields of AI To qualify for this role, you should have: - A Bachelors or Master's degree in CS, Software Engineering, or a related field - Extensive experience (5+ years) in ML system architecture and MLOps - Experience with Deep learning solution development - Experience in designing and deploying GenAI/LLM based applications - Proficiency in cloud platforms (AWS, GCP, Azure) and ML orchestration (e.g., Kubeflow) - Strong knowledge in software architecture, data engineering, and CI/CD best practices - Excellent communication skills and the ability to drive technical consensus Impetus Technologies is a digital engineering company that focuses on delivering expert services and products to help enterprises achieve their transformation goals. Founded in 1991, Impetus is a cloud and data engineering leader providing solutions to fortune 100 enterprises. You will be part of a global team with over 3000 members and have the opportunity to collaborate with established companies such as American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon.,