AI/ML Engineer(GenAI & MLOPs)

Job Description

AIML Engineer - MBM

Relevant Experience: 5+ Years
Location: Bangalore/Pune
Employment Type: Full-time

Bridge the Gap Between Innovation and Reality

Are you an engineer having an AI Heart with magical hands of scale and Platform? Do you thrive on taking experimental code and turning it into robust, scalable, and high-performance production systems? At Maersk, our data science team is pushing the boundaries of Generative AI and Autonomous Agents. Now, we need a hands-on engineer to be the bridge—taking these cutting-edge models and scale it to global level.

We are looking for a AI Platform Engineer who excels in system architecture, API design, and MLOps. You won't just be deploying models; you will be defining how they are deployed, scaling inference pipelines, optimizing latency, and ensuring our AI solutions are enterprise-ready. You don't need to be an expert in designing neural network architectures, but you would be responsible for wrapping, hosting, and scaling them effectively.

What you’ll do:

• Productionize Innovation: Take ownership of the "Last Mile" of AI. Collaborate with Data Scientists to refactor research code (Jupyter Notebooks/scripts) into production-grade Python packages and microservices.
• Architect Scalable Inference: Build and maintain high-throughput, low-latency AI/ML model serving systems.
• Optimize AI Infrastructure: Manage GPU resources efficiently, optimize model serving (quantization, caching), and ensure cost-effective scaling of Vector Databases (Pinecone, ChromaDB) and LLM calls.
• Build Robust Pipelines: Design and implement CI/CD pipelines specifically for AI/ML workflows, ensuring automated testing, versioning, and deployment of both code and model artifacts.
• Empower AI Agents: Create the reliable backend infrastructure required for autonomous agents to operate, handling state management, asynchronous task queues (Celery/Redis), and multi-agent orchestration.
• Observability & Monitoring: Implement robust monitoring for AI systems (tracking drift, latency, token usage, and error rates) using tools like Prometheus, Grafana, or ML-specific tools like MLflow/LangSmith.

Required Skills & Qualifications [Must have]

• Strong Software Engineering Foundation: 5+ years of experience in Python development with a focus on writing clean, modular, and efficient code (OOP, design patterns).
• Production Deployment: Expert-level knowledge of containerization (Docker) and orchestration (Kubernetes/K8s) for deploying ML applications.
• MLOps & DevOps: Hands-on experience with CI/CD tools (GitHub Actions, Jenkins) and MLOps frameworks (MLflow, Kubeflow, or similar).
• Working Knowledge of AI/ML: Familiarity with the AI landscape. You should understand the difference between a Vector DB and a SQL DB, how embeddings work, and the computational constraints of Large Language Models (context windows, tokens, GPU memory).

Nice-to-have Skills

• API & Backend Development: Proven experience building production-grade RESTful APIs (FastAPI, Flask) or gRPC services. Experience with asynchronous programming is a plus.
• Cloud Infrastructure: Proficiency with AWS, Azure, or GCP, specifically in deploying serverless functions or managing containerized workloads.

• Experience with Infrastructure as Code (Terraform, Ansible).
• Knowledge of Model Optimization techniques (Quantization, ONNX, TensorRT) to speed up inference.
• Experience creating RAG (Retrieval-Augmented Generation) pipelines in a production environment.
• Familiarity with streaming architectures (Kafka, RabbitMQ) for event-driven AI agents.

Why Join Us:

• Innovate at scale: Work on groundbreaking Generative AI technologies that redefine what’s possible.
• Transform industries: Your work will directly impact how global organizations drive productivity and solve complex supply chain challenges.
• Collaborate with the best: Join a team of forward-thinking engineers, researchers, and product visionaries who are shaping the future of AI.
• Accelerate your growth: Enjoy opportunities to learn, grow, and lead in a fast-paced, innovation-driven environment.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.