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Senior AI/ML Architect - Tensorflow/PyTorch Job Opening In India, India – Now Hiring Zorba Consulting India Pvt. Ltd.


Job description

<p><p><b>Job Summary :</b><br/><br/></p><p>We are seeking a senior AI/ML Architect to lead the design and implementation of our AI and machine learning initiatives.<br/><br/></p><p>You will be responsible for creating the architectural vision and blueprints for scalable, secure, and performant ML systems.<br/><br/></p><p>This is a strategic role that requires a blend of deep technical knowledge, leadership, and excellent communication skills to translate business needs into robust technical Responsibilities :</b></p><p><br/></p>- Define the overall technical architecture for AI/ML projects, including model development, training, deployment, and serving infrastructure.<br/><br/></p><p>- Evaluate and select appropriate ML frameworks, cloud platforms, and tools to meet project requirements and ensure a future-proof architecture.<br/><br/></p><p>- Collaborate with data scientists, ML engineers, and business stakeholders to align the technical roadmap with strategic goals.<br/><br/></p><p>- Design and implement scalable data pipelines and feature stores to support ML model training and inference.<br/><br/></p><p>- Establish best practices for model versioning, reproducibility, and governance.<br/><br/></p><p>- Provide technical leadership and mentorship to the engineering teams.<br/><br/></p><p>- Stay abreast of cutting-edge research and industry trends in AI/ML and recommend new technologies to enhance our Qualifications :</b></p><p><br/></p>- 5+ years of experience in a software or machine learning engineering role.<br/><br/></p><p>- 3+ years of experience in an architecture-focused role, with a strong emphasis on AI/ML systems.<br/><br/></p><p>- Expertise in a relevant programming language (e.g., Python, Java, Go).<br/><br/></p><p>- Deep knowledge of ML frameworks (TensorFlow, PyTorch, or similar).<br/><br/></p><p>- Extensive experience with cloud computing platforms (AWS, GCP, or Azure) and their AI/ML services.<br/><br/></p><p>- Excellent leadership, communication, and stakeholder management Qualifications :</b></p><p><br/></p>- A Master's or PhD in Computer Science, AI, or a related technical field.<br/><br/></p><p>- Experience with distributed training and inference.<br/><br/></p><p>- Direct experience with MLOps and infrastructure as code (IaC).<br/><br/></p><p>- Contributions to open-source projects in the AI/ML ecosystem</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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