AIML Engineer - MBM
Relevant Experience: 5+ Years
Location: Bangalore/Pune
Employment Type: Full-time
Shape the Future with Generative AI
Are you passionate about harnessing cutting-edge Generative AI to create transformative real-world applications? Do you dream of building autonomous systems that learn, adapt, and make decisions independently? At Maersk, we’re reimagining how businesses solve complex problems with the power of Generative AI and Autonomous Agents.
We’re looking for a AI/ML Engineer to join our dynamic team and play a pivotal role in building AI solutions that will define the future of intelligent systems. If you're excited about applying your expertise to projects that disrupt industries and drive measurable impact, we want to hear from you! This is an exciting opportunity for self-motivated engineers with technical expertise, creative problem-solving skills, and a talent for disruptive process transformation using AI/ML.
What you'll do:
- Lead with autonomy: Take ownership of AI/ML projects from ideation to deployment, pushing boundaries of innovation.
- Design the future: Develop and fine-tune Generative AI models (LLMs, diffusion models, GANs, VAEs, etc.) to optimize SCP business processes and enhance productivity.
- Empower AI agents: Create agent AI architectures for autonomous decision-making, task delegation, and multi-agent collaboration using Agentic AI frameworks like AutoGPT.
- Innovate with LLM’s: Build & optimize LLM’s applications, leveraging RAG and build robust Machine Learning pipelines for NLP, Multimodal AI tasks.
- Work with cutting-edge tools: Harness the power of Vector Databases (e.g., Pinecone, FAISS, ChromaDB) and LLM APIs (OpenAI, Anthropic, Hugging Face, Mistral, Llama).
- Collaborate for impact: Partner with cross-functional teams to integrate AI solutions into real-world applications like chatbots, copilots, automation tools, etc.).
- Stay ahead: Perform continuous research on state-of-the-art AI methodologies, exploring advancements in Generative AI, Autonomous Agents, and NLP to drive innovation.
Required Skills & Qualifications [Must have]
- Strong foundation in Machine Learning & Deep Learning with expertise in neural networks, optimization techniques and model evaluation.
- Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.).
- Proficiency in Python, LangChain, Hugging Face transformers, MLOps.
- Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments.
- Knowledge of multimodal AI (integrating text, image, other data modalities into unified models.
Nice-to-have skills
- Experience with Prompt Engineering, Fine-tuning, and RAG techniques.
- Familiarity with Cloud Platforms (AWS, GCP, Azure) and deployment tools like Docker, Kubernetes, FastAPI, or Flask.
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 [email protected].
