3 Csps Jobs

As a Subject Matter Expert in ML or LLM Ops at CitiusTech, you will play a crucial role in guiding the organization's MLOps and LLMOps strategy. Your responsibilities will involve providing strategic direction, technical leadership, and overseeing the development of scalable infrastructure and processes aligned with business objectives. You will be at the forefront of innovation by designing and implementing robust pipelines for ML and LLM models, ensuring efficient deployment and continuous optimization. Collaboration with cross-functional teams such as engineering, data science, and product will be essential to seamlessly integrate ML and LLM models into production workflows. Your experience of 10-15 years in MLOps or LLM Ops, along with expertise in CSPs like AWS, Azure, and GCP, will be beneficial. You must have a proven track record of successful deployments and possess in-depth knowledge of MLOps tools and platforms such as Kubernetes, Docker, Jenkins, Git, MLflow, and LLM-specific tooling. Familiarity with Cloud platforms, infrastructure as code principles, DevOps methodologies, and CI/CD pipelines is required. Your communication skills will be crucial as you will be required to translate complex technical concepts clearly to both technical and non-technical audiences. A passion for innovation and optimization of ML and LLM workflows is highly desired. Life at CitiusTech is centered on core values like Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. The work culture is fun, transparent, non-hierarchical, diverse, and focused on continuous learning and work-life balance. CitiusTech has been rated as a Great Place to Work and offers comprehensive benefits to support a rewarding career. CitiusTech's EVP, "Be You Be Awesome," reflects the company's commitment to creating a great workplace where employees can thrive personally and professionally. Through continuous learning and growth opportunities, CitiusTech aims to positively impact human lives by solving healthcare challenges. If you are someone who is passionate about technology, innovation, and making a real-world impact in healthcare, CitiusTech welcomes you to join their team and be part of a culture that values Faster Growth, Higher Learning, and Stronger Impact. To explore more about CitiusTech, please visit www.citiustech.com. Happy Applying!,

Job description We are seeking a highly skilled GenAI Solution Architect to join our growing team. In this role, you will leverage your expertise in Generative AI, machine learning, and natural language processing (NLP) to design and implement innovative AI-driven solutions. The ideal candidate will have a deep understanding of architectural design, data strategies, AI agents, and the latest advancements in language models. You will play a key role in delivering cutting-edge solutions, working with large-scale data, and building systems that enhance automation, intelligence, and efficiency for our clients. Key Responsibilities GenAI Solutioning & Architectural Design Lead the design and implementation of end-to-end Generative AI solutions, ensuring scalable, robust, and efficient architecture that aligns with business needs. Data Strategy & Management Develop and execute strategies for data collection, cleaning, transformation, and integration for AI model development. Apply best practices for data pipeline design and optimization. AI Agents Development Design and implement intelligent AI agents using advanced techniques in NLP and machine learning to improve automation, user interaction, and decision-making processes.Fine-tuning & Prompt Engineering Fine-tune pre-trained models (e.g., GPT, BERT, etc.) and optimize prompt engineering techniques to drive high-quality, actionable outputs for diverse business use cases. Machine Learning & Deep Learning Models Build, train, and deploy machine learning models, including deep learning models, for complex AI applications across various domains. LLM Provisioning from CSPs Lead the provisioning and customization of Large Language Models (LLMs) from major Cloud Service Providers (CSPs) such as Azure, AWS, and Google Cloud, ensuring optimal performance and cost-effectiveness. Technologies & Frameworks Utilize Langchain, Crew AI, and VectorDB for building, integrating, and scaling NLP solutions, and leverage Flask/FastAPI for model deployment and integration. Database & SQL Management Work with databases (SQL/NoSQL) for data storage, querying, and management to support AI model development and deployment.Tokenization & NLP Techniques Apply advanced tokenization techniques to preprocess and analyze data for NLP tasks, enhancing model efficiency and performance. Deployment & Evaluation Oversee the deployment of AI models, ensuring smooth integration with production systems, and perform rigorous evaluation of LLMs for accuracy, efficiency, and scalability. Required Skills & Qualifications Proven experience in GenAI solutioning and architectural design for large-scale AI systems. Expertise in data cleaning, transformation, and data strategy to drive AI and machine learning initiatives. Strong hands-on experience with AI agents, prompt engineering, and fine-tuning LLMs for business applications. Proficiency in machine learning models, deep learning techniques, and NLP applications. Deep knowledge of LLM provisioning from different Cloud Service Providers (CSPs) (e.g., AWS, Azure, Google Cloud). Experience with Langchain, CrewAI, VectorDB, Flask, FastAPI, and related frameworks for model integration and deployment.Strong database skills, with proficiency in SQL and experience in working with NoSQL databases. Familiarity with advanced tokenization techniques and their applications in NLP. Experience with model deployment, integration, and LLM evaluation for real-world applications.

As a Subject Matter Expert in ML or LLM Ops at CitiusTech, you will play a crucial role in guiding the organization's MLOps and LLMOps strategy. Your responsibilities will include providing strategic direction, technical leadership, and overseeing the development of scalable infrastructure and processes to ensure alignment with business objectives. Your expertise will be instrumental in designing and implementing robust pipelines for ML and LLM models, focusing on efficient deployment and continuous optimization. You will collaborate with cross-functional teams to seamlessly integrate ML and LLM models into production workflows and communicate complex technical concepts clearly to both technical and non-technical audiences. The ideal candidate should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, or equivalent experience, with a minimum of 10-15 years of experience in MLOps or LLM Ops. Proficiency in MLOps tools and platforms such as Kubernetes, Docker, Jenkins, Git, MLflow, and LLM-specific tooling is essential. Experience with Cloud platforms like AWS, Azure, Google Cloud, and infrastructure as code principles is desired. In addition to technical skills, excellent communication, collaboration, and problem-solving abilities are crucial for this role. A passion for innovation, the ability to translate technical concepts into clear language, and a drive to optimize ML and LLM workflows are key attributes that we are looking for in potential candidates. CitiusTech offers a dynamic work environment focused on continuous learning, work-life balance, and a culture that values Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Rated as a Great Place to Work, we provide a comprehensive set of benefits to support your career growth and personal well-being. Our EVP, "Be You Be Awesome," reflects our commitment to creating a workplace where employees can thrive personally and professionally. Join CitiusTech to be part of a team that is solving healthcare challenges and positively impacting human lives. Experience faster growth, higher learning, and a stronger impact with us. To know more about CitiusTech and explore career opportunities, visit www.citiustech.com. Happy Applying!,