Sr AI/ML Engineer
APM Terminals · Bengaluru · onsite · Posted 56d ago
Undisclosed4–10 yrsfulltimeSourced from
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About this role
Job Summary
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyze data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modeling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions.
Job Title: Gen AI Engineer
Relevant Experience: 4-10 Years
Location: Banglore / Pune / Anywhere
Employment Type: Full-time
Role Overview 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 to join our dynamic team and play a pivotal role in building AI solutions that will define the future of intelligent systems. If youre 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 Gen AI
What you'll do - Lead with autonomy : Take ownership of Gen AI 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 LLMs : Build optimize LLMs 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
- 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.
- 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.
- Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL. Proficiency Level: Proficient
- AI Machine Learning: Creating systems that can perform tasks that typically require human intelligence. Using Machine learning (ML), a subset of AI that uses algorithms to learn from and make predictions based on data Proficiency Level: Proficient
- Data Analysis: Inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making Proficiency Level: Proficient
- Machine Learning Pipelines: Using automated workflows that manage the end-to-end process of training and deploying machine learning models. Proficiency Level: Advanced
- Model Deployment: Making a trained machine learning model available for use in production environments. Proficiency Level: Advanced
- Big Data Technologies: Using continuous integration and continuous delivery (CI/CD) pipelines to automate the process of software development, including building, testing, and deploying code
- Natural Language Processing (NLP): Focusing on the interaction between computers and humans through natural language.
- Data Architecture: Designing and structuring of data systems, ensuring that data is stored, managed, and utilized efficiently
- Data Processing Frameworks: Using tools and libraries to process large data sets efficiently, such as Apache Hadoop and Apache Spark.
- Technical Documentation: Creating and maintaining documentation that explains the functionality, use, and maintenance of software or systems.
- Deep Learning: Using a subset of machine learning involving neural networks with many layers, used to model complex patterns in data.
- Statistical Analysis: Collecting and analyzing data to identify patterns and trends, and to make informed decisions.
- Data Engineering: Designing and building systems for collecting, storing, and analyzing data at scale.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationApache SparkclaudeAutomation ToolsBERTapisApacheai frameworksamazon web servicesai engineerAnalyticsautonomous systemscloudAlgorithmsArchitectureAi SolutionsMicrosoft AzureBig DataArtificial IntelligenceAnthropic SDK
About APM Terminals
APM Terminals
Ports & Shipping
744
employees
2001
25 years old
The Hague
Netherlands
₹7.5L PA avg
Avg at APM Terminals
About
APM Terminals operates a vast global port network, improving supply chain efficiency and cargo handling through high-quality terminal services.
Industries
Ports & ShippingLogistics / ShippingMarine
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