ML Ops Engineer

Job OverviewWe are seeking an experienced ML Ops / AI Integration Engineer to design, build, and integrate Generative AI and Agentic AI solutions within enterprise environments. This role involves close collaboration with data scientists, architects, and DevOps teams to deliver scalable, secure, and high-performing AI systems. Key Responsibilities• Develop and maintain automation scripts using Python, Bash, and Unix/Linux tools • Design and implement AI/ML pipelines for production environments • Integrate AI models into enterprise systems using containerized platforms (Docker, Kubernetes, OpenShift) • Ensure seamless integration across cloud and on-premise environments (AWS) • Collaborate with cross-functional teams to translate AI workflows into scalable engineering solutions • Monitor, troubleshoot, and optimize system performance, reliability, and scalability • Support CI/CD pipelines for AI model deployment, updates, and version control • Implement and maintain security best practices for AI systems and data pipelines • Work with observability and monitoring tools to ensure system health and performance Required Skills & Qualifications• Bachelor’s degree in Computer Science, Engineering, or a related field • 4+ years of experience in ML engineering, AI system integration, or MLOps • Strong proficiency in Python for automation and ML-related tasks • Hands-on experience with Unix/Linux environments and shell scripting (Bash) • Experience with containerization and orchestration tools (Docker, Kubernetes, OpenShift) • Strong knowledge of AWS or similar cloud platforms • Experience with API integration and microservices architecture • Understanding of data security, network security, and compliance in AI systems • Familiarity with workflow orchestration tools (e.g., Control-M) • Experience with logging and monitoring tools such as Splunk, Geneos • Exposure to observability frameworks (e.g., Grafana, Elastic Stack, OpenTelemetry, Langfuse) • Understanding of Generative AI concepts, including prompt engineering, RAG pipelines, and agentic workflows Ankita EA Licence Number: 23C2060 Registration ID is R22109715 Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg) This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA