Senior Specialist DevML Ops

JOB DESCRIPTION

Job Title: Senior Specialist - Dev/ML Ops

Job Location: Bangalore

About Syngene: Syngene () is an innovation-led contract research development and manufacturing organization offering integrated scientific services from early discovery to commercial supply.

At Syngene safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability including following safety guidelines procedures and SOPs in letter and spirit

Mandatory expectation for all roles as per Syngene safety guidelines

• Overall adherence to safe practices and procedures of oneself and the teams aligned
• Contributing to development of procedures practices and systems that ensures safe operations and compliance to companys integrity & quality standards
• Driving a corporate culture that promotes environment health and safety (EHS) mindset and operational discipline at the workplace at all times.
• Ensuring safety of self teams and lab/plant by adhering to safety protocols and following environment health and safety (EHS) requirements at all times in the workplace.
• Ensure all assigned mandatory trainings related to data integrityhealth and safety measures are completed on time by all members of the team including self
• Compliance to Syngene s quality standards at all times

Role Overview:

We are seeking a Senior Specialist DevOps / MLOps to design implement and manage scalable secure and highly available infrastructure and deployment pipelines for enterprise applications and machine learning platforms. The role requires strong expertise across cloud platforms CI/CD automation and MLOps practices with a focus on reliability performance security and operational excellence.

This position plays a critical role in enabling rapid repeatable and compliant delivery of digital data and AI solutions across the organization.

Key Responsibilities:

• Design implement and maintain robust CI/CD pipelines for application and ML workloads.
• Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) principles.
• Enable end-to-end MLOps lifecycle including model training versioning validation deployment monitoring and retraining.
• Collaborate with application developers data scientists and platform teams to operationalize solutions efficiently.
• Ensure high availability scalability performance and security of platforms and services.
• Implement monitoring logging alerting and observability frameworks for proactive incident management.
• Automate environment provisioning configuration management and release processes.
• Enforce DevSecOps practices including vulnerability management secrets management and compliance controls.
• Troubleshoot complex infrastructure deployment and production issues.
• Evaluate emerging DevOps/MLOps tools and recommend adoption aligned to business needs.
• Mentor junior engineers and contribute to standards best practices and technical documentation

Syngene Values

All employees will consistently demonstrate alignment with our core values

• Excellence
• Integrity
• Professionalism

Qualifications & Experience

Education: Bachelors or Masters degree in Computer Science Engineering Data Science or a related discipline.

Experience:

Expertise in DevOps Platform Engineering and/or MLOps roles.

Proven experience supporting enterprise-scale or cloud-native platforms.

Preferred Skills & Expertise:

Cloud & Infrastructure:

• Strong experience with AWS / Azure / GCP
• Infrastructure as Code using Terraform ARM CloudFormation or similar tools

DevOps & Automation:

• CI/CD tools such as Azure DevOps GitHub Actions GitLab CI Jenkins
• Configuration management and automation (Ansible Bash Python)
• Containerization using Docker and orchestration with Kubernetes

MLOps:

• Experience operationalizing ML models using tools such as MLflow Kubeflow SageMaker Azure ML or Vertex AI
• Model versioning experiment tracking feature stores and model monitoring
• Understanding of data pipelines and ML lifecycle management

Monitoring & Security:

• Monitoring and observability tools (Prometheus Grafana ELK Azure Monitor CloudWatch)
• DevSecOps practices IAM secrets management and compliance controls

Engineering Fundamentals:

• Solid understanding of system architecture networking and distributed systems
• Strong debugging analytical and problem-solving skills
• Excellent written and verbal communication skills

Equal Opportunity Employer:

It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age color national origin citizenship status physical or mental disability race religion creed gender sex sexual orientation gender identity and/or expression genetic information marital status status with regard to public assistance veteran status or any other characteristic protected by applicable legislation or local addition Syngene will provide reasonable accommodation for qualified individuals with disabilities.