Pole Star Global
AIOps Engineer - Maritime Technology
Pole Star Global, St. Petersburg, Florida, United States, 33739
Overview
Pole Star Global is seeking a Senior/Mid-Senior level Engineer to design, deploy, and operationalize AI systems in the maritime domain. The role focuses on building AI pipelines, GenAI solutions for maritime challenges, and ensuring production-grade ML infrastructure that supports global trade safety, transparency, and sustainability. Responsibilities
Design and implement CI/CD pipelines for AI model deployment and monitoring Containerise and orchestrate ML services using Docker and Kubernetes for scalable deployment Monitor model performance in production, implement drift detection, and manage model versioning Collaborate with data scientists, software engineers, and maritime domain experts to align AI solutions with operational needs Build robust data pipelines to ingest, clean, and transform structured and unstructured maritime data Develop, deploy and maintain RAG-based GenAI systems using vector databases and LLMs for different maritime use cases Ensure compliance with data governance, privacy, and maritime regulatory standards Required Skills
3+ years of experience in MLOps, machine learning engineering, or AI infrastructure Demonstrated experience deploying ML models in production environments Prior work with LLMs, GenAI systems, or NLP pipelines is highly desirable Strong DevOps experience in cloud platforms (prefer AWS) and infrastructure-as-code tools Proficiency in Python, PySpark and ML frameworks such as TensorFlow, PyTorch Experience with MLOps tools such as MLflow, Airflow, or SageMaker AI Hands-on knowledge of RAG frameworks such as Haystack, LangChain, Llamaindex Familiarity with vector databases (FAISS, Weaviate, Pinecone) and embedding models Additional Skills
Knowledge of maritime domain data, geospatial data processing and maritime analytics Working with distributed teams Working on Agile teams Excellent written and verbal communication skills Education/Certifications
Bachelor’s degree in Computer Science, Computer Engineering, Electronics & Communications Engineering, or related field; or Master’s degree in Data Science, Artificial Intelligence Employee Benefits
Medical insurance for employees and their dependents (Premiums are 100% covered by the Company) Dental and Vision insurance for employees and their dependents (Premiums are 50% covered by the Company) Life and Disability insurance, Company funded 20 days annual leave 5 days of Wellbeing leave Up to a 5% 401k matching Gym membership subsidy PTO for Volunteer Day Refer-a-friend recruitment bonus Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Technology, Information and Internet Referrals increase your chances of interviewing at Pole Star Global. Get notified about new Technology Engineer jobs in St. Petersburg, FL.
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Pole Star Global is seeking a Senior/Mid-Senior level Engineer to design, deploy, and operationalize AI systems in the maritime domain. The role focuses on building AI pipelines, GenAI solutions for maritime challenges, and ensuring production-grade ML infrastructure that supports global trade safety, transparency, and sustainability. Responsibilities
Design and implement CI/CD pipelines for AI model deployment and monitoring Containerise and orchestrate ML services using Docker and Kubernetes for scalable deployment Monitor model performance in production, implement drift detection, and manage model versioning Collaborate with data scientists, software engineers, and maritime domain experts to align AI solutions with operational needs Build robust data pipelines to ingest, clean, and transform structured and unstructured maritime data Develop, deploy and maintain RAG-based GenAI systems using vector databases and LLMs for different maritime use cases Ensure compliance with data governance, privacy, and maritime regulatory standards Required Skills
3+ years of experience in MLOps, machine learning engineering, or AI infrastructure Demonstrated experience deploying ML models in production environments Prior work with LLMs, GenAI systems, or NLP pipelines is highly desirable Strong DevOps experience in cloud platforms (prefer AWS) and infrastructure-as-code tools Proficiency in Python, PySpark and ML frameworks such as TensorFlow, PyTorch Experience with MLOps tools such as MLflow, Airflow, or SageMaker AI Hands-on knowledge of RAG frameworks such as Haystack, LangChain, Llamaindex Familiarity with vector databases (FAISS, Weaviate, Pinecone) and embedding models Additional Skills
Knowledge of maritime domain data, geospatial data processing and maritime analytics Working with distributed teams Working on Agile teams Excellent written and verbal communication skills Education/Certifications
Bachelor’s degree in Computer Science, Computer Engineering, Electronics & Communications Engineering, or related field; or Master’s degree in Data Science, Artificial Intelligence Employee Benefits
Medical insurance for employees and their dependents (Premiums are 100% covered by the Company) Dental and Vision insurance for employees and their dependents (Premiums are 50% covered by the Company) Life and Disability insurance, Company funded 20 days annual leave 5 days of Wellbeing leave Up to a 5% 401k matching Gym membership subsidy PTO for Volunteer Day Refer-a-friend recruitment bonus Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Technology, Information and Internet Referrals increase your chances of interviewing at Pole Star Global. Get notified about new Technology Engineer jobs in St. Petersburg, FL.
#J-18808-Ljbffr