Senior AIML Engineer

Location: India

We are seeking a seasoned AI/ML Engineer with deep expertise in both traditional machine learning and modern Generative AI/LLM technologies. This role will be instrumental in driving our AI transformation, building enterprise-grade solutions that combine classical ML approaches with cutting-edge GenAI capabilities.

Core AI/ML Development

* Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value

* Lead and execute end-to-end AI/ML projects - from data exploration and model development to validation, deployment, and monitoring in production

* Independently design and implement scalable machine learning solutions and data systems, ensuring end-to-end workflows, large-scale analytics, and reliability

Generative AI & LLM Implementation

* Design and implement RAG (Retrieval Augmented Generation) systems for enterprise knowledge management

* Develop guardrails and safety measures for GenAI applications in production

* Implement cost optimization strategies for LLM inference at scale

* Create synthetic data generation pipelines for model training and testing

* Build and optimize prompt engineering strategies and fine-tuning pipelines

Traditional ML Excellence

* Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and computer vision

* Implement and refine feature engineering, monitoring, ML pipelines, deploy models in production

* Build real-time inference APIs with sub-second latency requirements

* Develop forecasting models for demand prediction and supply chain optimization

* Create recommendation systems for route optimization and customer solutions

MLOps & Production Engineering

* Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking

* Ensure readiness for production releases, focusing on testing, monitoring, observability, and maintaining scalability

* Implement comprehensive model versioning, registry, and rollback strategies

* Build automated retraining pipelines and drift detection systems

Leadership & Collaboration

* Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and solution reviews

* Translate technical outputs into actionable insights for business stakeholders through storytelling and data visualizations

* Drive cross-team and cross-discipline initiatives to optimize workflows and enhance collaboration

* Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams

Technical Requirements

Essential Skills

Programming & Data Engineering:

* Advanced proficiency in Python, SQL, Py Spark

* Experience with Docker, Kubernetes for containerization

* Strong software engineering practices (clean code, testing, documentation)

Cloud & Infrastructure (Azure preferred):

* Databricks, Azure ML, ADF, Web Apps

* Experience with distributed computing and big data processing

* Infrastructure as Code (Terraform, ARM templates)

LLM/Generative AI Stack:

* Hands-on experience with foundation models: GPT-4, Claude, Gemini

* LLM frameworks:
Lang Chain, Llama Index, Lang Graph

* Vector databases:
Pinecone, Chroma, pgvector

* Fine-tuning techniques:
LoRA, QLoRA, PEFT

* Hugging Face ecosystem (Transformers, Datasets, Hub)

* Embedding models and semantic search implementation

Traditional ML/Deep Learning:

* Deep learning frameworks:
Tensor Flow, PyTorch, JAX

* Classical ML: scikit-learn, XGBoost, Light

GBM, Regression and Classification

* Strong expertise in NLP, Time Series Forecasting

* Experience with recommendation systems and reinforcement learning

* Solid understanding of model evaluation, optimization, bias mitigation, and monitoring.

MLOps & Monitoring:

* MLflow, Weights & Biases for experiment tracking

* Git Hub Actions, Azure Dev Ops for CI/CD

* Model monitoring and A/B testing frameworks

Qualifications

Required

* 10+ years of hands-on experience delivering enterprise-grade AI/ML solutions

* Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related quantitative field

* Proven track record of deploying ML models in production at scale

* Strong business acumen and ability to bridge the gap between data and decisions

* Experience leading cross-functional AI initiatives

Preferred

* PhD in relevant field

* Prior understanding of shipping and logistics domain

* Open source contributions to ML projects

* Experience with agentic workflows and autonomous systems

What We Offer

* Opportunity to work on cutting-edge AI projects at global scale

* Access to state-of-the-art computing resources and tools

* Collaborative environment with top AI/ML talent

* Professional development and conference attendance support

* Competitive compensation and benefits package

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes…