Company Description:

VesselFront is a leading digital platform for commercial vessel owners. Our platform provides high-quality digital tools to vessel owners and managers and produces agents for optimization and maintenance for environmental and management purposes.

Responsibilities:

• Design, develop, and implement optimized and secure ETL data pipelines from multiple sources.
• Architect and maintain cloud-based data infrastructure, ensuring scalability, reliability, and efficiency.
• Develop, fine-tune, and deploy Large Language Models (LLMs) for maritime and operational data applications.
• Implement DevOps best practices, including CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure-as-code (Terraform, CloudFormation).
• Collaborate with cross-functional teams to identify and address operational challenges by designing and deploying data solutions.
• Work with GIS data, construct grids for spatial data analysis, and enhance visualization capabilities.
• Build robust API-based data services to integrate various platform components.
• Ensure high data quality by implementing monitoring systems, unit tests, and automated correction mechanisms.
• Mentor junior engineers and establish best practices for data engineering, MLOps, and cloud security.
• Stay updated on emerging technologies in data engineering, AI/ML, and maritime tech, introducing innovative tools and techniques where applicable.

Minimum Requirements:

• 6-10 years of hands-on experience in data engineering, machine learning, and software development.
• Strong proficiency in Python, with additional experience in Scala, Java, C++, or C#.
• Expertise in cloud platforms (AWS, GCP, or Azure), including services like Lambda, S3, EC2, DynamoDB, and IAM.
• Proficiency in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
• Hands-on experience with LLM development and integration, including transformers, RLHF reward modeling, and large-scale language model evaluation.
• Strong knowledge of DevOps tools and methodologies, including Docker, Kubernetes, Terraform, and CI/CD pipelines.
• Experience with workflow orchestration tools (Airflow, AWS Step Functions, Prefect, etc.).
• Strong analytical skills for processing and modeling large datasets with precision.
• Excellent problem-solving and debugging skills in a fast-paced environment.
• Strong communication skills and ability to collaborate with technical and non-technical teams.

Preferred Qualifications:

• Experience building and enhancing personalization systems, search engines, or recommendation engines.
• Background in neural networks, NLP, or causal inference.
• Some experience with GIS tools for spatial data analysis (e.g., QGIS, ArcGIS).
• Contributions to open-source projects in machine learning or DevOps.
• Experience working with cross-functional teams in an Agile environment.
• Prior experience in the maritime, logistics, or transportation industry is a plus.

Compensation & Benefits:

• Competitive salary based on experience.
• Education/conference expense reimbursement.
• Gym membership reimbursement.
• Flexible work environment and remote-friendly policy.

If you are a highly skilled Senior Data Scientist or Senior Data Engineer with an interest or background in LLM integration, DevOps, and cloud-based data architecture, join our team, drive innovation in the maritime industry and build with us things that last.