AI/ML Engineer

Job Title: AI/ML Engineer

Location: Pune

We offer:

As Operational Insights Team we offer datadriven insights that empower business units to make informed decisions improve efficiency and enhance performance. We specialize in building advanced analytics solutions automating reporting processes scalable dashboards and delivering realtime analytics that highlight key operational metrics. By combining deep domain expertise with advanced data analysis tools we turn raw data into actionable intelligence enabling proactive problemsolving and strategic planning across the organization.

Job Summary:

We are looking for a highly skilled AI/ML Engineer to join our team specializing in analysing operational data to improve efficiency optimize processes and support strategic decisionmaking. The ideal candidate will have a strong technical and analytical background with expertise in AI/ML Techniques Generative AI (LLMs) Python PySpark SQL and Azure fundamentals. The candidate should be adaptable and eager to learn and apply new technologies as needed to meet evolving project requirements and team goals.

Key Responsibilities:

• Advanced Analytics EndtoEnd Solution Implementation:
  • Analyse IT operations data to uncover patterns trends anomalies and areas for optimization using advanced ML techniques.
  • Design develop and deploy machine learning and Generative AI (GenAI) solutions (e.g. LLMs) to enhance automation predictive analytics root cause analysis and anomaly detection in IT service management.
• Data Management & Feature Engineering:
  • Collect clean and preprocess structured and unstructured data.
  • Engineer highquality features to enhance model performance and interpretability.
• Model Training Tuning & Evaluation:
  • Train models using supervised unsupervised and selfsupervised learning.
  • Finetune LLMs using techniques like transfer learning LoRA and prompt tuning.
  • Evaluate models using appropriate metrics.
• Generative AI Implementation:
  • Develop applications using GenAI frameworks such as OpenAI Hugging Face LangChain and RAG pipelines.
  • Engineer prompts for text generation summarization Q&A and creative content tasks.
  • Work with vector databases for retrievalaugmented generation (RAG).
• Deployment & MLOps:
  • Build and automate CI/CD pipelines for training and deployment.
  • Serve models via APIs integrate with web/mobile platforms and monitor performance in production.
• Data Democratization & SelfService Analytics:
  • Build and support GenAIpowered selfservice analytics tools that allow business users to query data using natural language.
  • Promote data democratization by enabling secure governed access to datasets and AI insights through userfriendly dashboards and AI copilots.
• Collaboration & Productization:
  • Work closely with stakeholders to translate business needs into AI solutions.
  • Contribute to the design and scalability of AI products and prototypes.
• Ethical AI & Compliance:
  • Ensure responsible AI use by mitigating risks like bias hallucination and misuse in generative models.
  • Apply explainability and fairness tools to increase transparency and trustworthiness.

Were looking for:

Technical Skills:

• Languages & Libraries: Python PySpark TensorFlow PyTorch Scikitlearn
• GenAI & NLP: OpenAI Hugging Face LangChain LlamaIndex
• Vector DBs & RAG: FAISS Pinecone Weaviate
• Analytics & BI: Power BI Streamlit Dash GenAIintegrated analytics tools
• Deployment & MLOps: Docker FastAPI MLflow Kubernetes Airflow

Communication Skills: Effective verbal and written communication skills to collaborate with team members ask questions provide updates and articulate ideas clearly.

Learning Agility: Willingness and ability to quickly learn new technologies tools and concepts relevant to the project.

Teamwork and Collaboration: Ability to work collaboratively in a team environment share knowledge and contribute to achieving common goals.

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.

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