5.0 - 10.0 years

0 Lacs

hyderabad, telangana

On-site

As a GenAI Technical Solutions Architect, your role involves developing and implementing architecture strategies for Gen AI to enhance AI ML model deployment and monitoring efficiency. You will focus on developing cutting-edge architectural strategies for Gen AI components and platforms, leading the implementation of LLM operations, and working closely with data scientists and AI professionals to drive digital transformation. Your responsibilities include: - Developing cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), AI agents, and embeddings. - Leading working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, and identifying components for reuse to save efforts, time, and money. - Leading the implementation of LLM operations to optimize model performance, scalability, and efficiency, and designing autonomous AI systems capable of complex decision-making and task execution. - Working closely with data scientists and AI professionals to identify and pilot innovative use cases aligned with business objectives and ROI. - Defining AI architecture, selecting suitable technologies, integrating RAG systems, embedding models, and LLM frameworks, and deciding on optimal deployment models. - Auditing AI tools and practices for continuous improvement, collaborating with security and risk leaders to ensure ethical AI implementation, and staying updated on AI regulations. You should have: - Proven track record in shipping products and developing Gen AI product architecture, with 10+ years of experience in AI and 5+ years in building NLP/AI software. - Demonstrated experience in delivering Gen AI products, deep familiarity with cloud technologies, proficiency in PyTorch, TensorFlow, Kubernetes, Docker, and experience deploying models using advanced LLM ops techniques. - Excellent communication and interpersonal skills, hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models. Qualifications: - Bachelor's or master's degree in computer science, Data Science, or a related technical field. - Ability to translate complex technical concepts into actionable business strategies, strong communication skills, and a proven track record in managing and delivering AI/ML projects in large-scale enterprise environments.,

Posted 15 hours ago

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Subject Matter Expert - ML / LLM Ops Citiustech Healthcare Technology Private Limited

10.0 - 15.0 years

1 Lacs

Bengaluru / Bangalore, Karnataka, India

On-site

As a Subject Matter Expert - ML or LLM Ops , you will be a thought leader, guiding Organization MLOps and LLMOps strategy and overseeing the development of scalable infrastructure and processes. Be an Architect of Innovation: This is your opportunity to join a dynamic team and leverage your expertise as an MLOps & LLM Ops SME. You'll play a pivotal role in designing and implementing robust pipelines for our ML and LLM models, ensuring efficient deployment and continuous optimization. Responsibilities: - Provide strategic direction and technical leadership for MLOps and LLM Ops initiatives, and ensure alignment with business objectives. Demonstrate an in-depth understanding of MLOps and LLM Ops principles, including data pipelines, model training, deployment frameworks, and monitoring techniques. Stay at the forefront of MLOps and LLM Ops advancements, and identify and champion new tools and best practices. Design, develop, and implement robust MLOps and LLM Ops pipelines for efficient model training, deployment, and monitoring. Collaborate with cross-functional teams (engineering, data science, product) to ensure seamless integration of ML and LLM models into production workflows. Communicate complex technical concepts clearly to both technical and non-technical audiences. Mandatory Technical skills Must be abreast with CSP's (AWS, Azure and GCP) MLOPS and LLOPS stack. Should have expert level knowledge around deploying AI stack on Kubernetes cluster and scaling the same both horizontal and vertical. Must have experience on deploying AI applications using native services. Must have experience on VM provisioning and network set up Minimum over 10 years of experience in MLOps or LLM Ops along with a proven track record of successful deployments. In-depth knowledge of MLOps tools and platforms such as Kubernetes, Docker, Jenkins, Git, MLflow, LLM-specific tooling. Familiarity with Cloud platforms (AWS, Azure, Google Cloud) and infrastructure as code (IaC) principles. Experience in DevOps methodologies and CI/CD pipelines. Strong understanding of machine learning pipelines, model training frameworks, and monitoring techniques. Experience in large language models (LLMs) and their unique operational considerations is a plus. Good to have skills: - Excellent communication, collaboration, and problem-solving skills. Ability to translate technical concepts into clear and concise language. A passion for innovation and a drive to optimize ML and LLM workflows. Written and verbal skills especially to confidently express technical ideas and solutions.

Posted 3 months ago

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