Job Description
MLOps Architect
Who we are: -
At CitiusTech, we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners.
Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives.
Our vision: -
To inspire new possibilities for the health ecosystem with technology and human ingenuity.
What is in it for you?
As an MLOps Architect, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities: -
- The Senior MLOps Architect will be responsible for architecting and implementing scalable MLOps solutions.
- This role involves working closely with data scientists, data engineers, and software developers to ensure that machine learning models are efficiently deployed, monitored, and maintained.
- The ideal candidate will have a strong background in both machine learning and software engineering, with experience in deploying ML models in production environments.
- Architecture & Design: Design and implement scalable MLOps architectures and frameworks that support model development, deployment, monitoring, and lifecycle management.
- Pipeline Development: Develop, maintain, and optimize ML pipelines for data preprocessing, model training, validation, and deployment.
- Automation: Implement automation for CI/CD pipelines, testing, and monitoring of ML models in production. Infrastructure Management: Design and manage cloud-based and on-premises infrastructure for ML model training and deployment, including Kubernetes, Docker, and other relevant technologies.
- Collaboration: Work closely with data scientists, data engineers, software engineers, and DevOps teams to integrate ML models into existing systems and workflows.
- Monitoring & Performance: Implement monitoring and logging solutions to track model performance, data drift, and other critical metrics.
- Security & Compliance: Ensure that ML models and pipelines adhere to security best practices and regulatory requirements.
- Documentation & Best Practices: Create and maintain comprehensive documentation of MLOps processes, tools, and best practices.
- Mentorship & Leadership: Provide technical leadership and mentorship to junior team members and help build a culture of continuous learning and improvement.
Experience: -
Location: -
Educational Qualifications: -
- Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Mandatory skills:
- Technical Skills: Strong programming skills in Python, Java, or another programming language.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and related services (e.g., S3, EC2, Lambda, Glue, SageMaker etc.).
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI/CD, CircleCI).
- Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Strong understanding of data engineering principles and ETL processes. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills.
- Ability to work in a fast-paced, collaborative environment.
- Strong organizational and time management skills.
- Preferred Qualifications: Experience with model versioning and monitoring tools (e.g., MLflow, Kubeflow). Knowledge of data privacy and security regulations.
- Previous experience in the healthcare industry or payer domain.
Life at CitiusTech
We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance.
Rated by our employees as the ‘Great Place to Work for’ according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.
Our EVP
Be You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.
Join CitiusTech. Be You. Be Awesome.
To learn more about CitiusTech, visit www.citiustech.com and follow us on
