Solution Architech / Technical Specialist

Who We Are: At CitiusTech, were building the future with cutting-edge machine learning (ML) and large language models (LLMs). Were a passionate team dedicated to streamlining the deployment and management of these powerful technologies.

Our Vision: We envision a world where MLOps and LLM Ops empower us to unlock the full potential of ML and LLMs, accelerating innovation and delivering real-world impact.

Be an Architect of Innovation: This is your opportunity to join a dynamic team and leverage your expertise as an MLOps & LLM Ops SME. Youll play a pivotal role in designing and implementing robust pipelines for our ML and LLM models, ensuring efficient deployment and continuous optimization.

The MLOps & LLM Ops SME Role: As an MLOps & LLM Ops SME, youll be a technical leader, guiding our MLOps & LLM Ops strategy and overseeing the development of scalable infrastructure and processes.

What Youll Do:

• Provide strategic direction and technical leadership for MLOps and LLM Ops initiatives, ensuring alignment with business objectives.

• Possess an in-depth understanding of MLOps and LLM Ops principles, including data pipelines, model training, deployment frameworks, and monitoring techniques.

• 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.

• Stay at the forefront of MLOps and LLM Ops advancements, identifying and championing 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. Were Looking For:

• Masters degree in Computer Science, Data Science, or a related field (or equivalent experience).

• Minimum 10+ years of experience in MLOps or LLM Ops with a proven track record of successful deployments.

• In-depth knowledge of MLOps tools and platforms (e.g., Kubernetes, Docker, Jenkins, Git, MLflow, LLM-specific tooling).

• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and infrastructure as code (IaC) principles.

• Experience with DevOps methodologies and CI/CD pipelines.

• Strong understanding of machine learning pipelines, model training frameworks, and monitoring techniques.

• Experience with large language models (LLMs) and their unique operational considerations is a plus.

• Excellent communication, collaboration, and problem-solving skills.

• The ability to translate technical concepts into clear and concise language.

• A passion for innovation and a drive to optimize ML and LLM workflows.

Why Join Us

• Be at the forefront of the MLOps and LLM Ops revolution.

• Collaborate with a talented team of ML engineers and data scientists

• Work on challenging and impactful projects that drive business value.

• Contribute to building a robust and scalable AI infrastructure.

• Enjoy a fast-paced and stimulating work environment.

• Receive competitive compensation and benefits.