Senior Specialist – Dev/ML Ops Full Time

Location:

Bangalore, KA, IN, 560100

Division: Essential Functions

Job Description

Job Title: Senior Specialist – Dev/ML Ops

Job Location: Bangalore

About Syngene: Syngene (www.syngeneintl.com) 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 company’s 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 integrity, health, 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: Bachelor’s or Master’s 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 law. In addition, Syngene will provide reasonable accommodation for qualified individuals with disabilities.