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Project Engineers / Senior Project Engineers - SURF and Construction

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Join us as Project Engineers / Senior Project Engineers SURF and Construction

We are looking for several experienced Project Engineers and Senior Project Engineers to strengthen and further develop our engineering team within Subsea Umbilical Risers and Flowline (SURF) and Construction.

As part of the DOF engineering department, you will plan and execute marine operations in the Atlantic Region and support projects in other regions. You will work in a positive, innovative environment with highly educated and skilled colleagues.

DOF offers a blend of young and experienced engineers supported by operational personnel, fostering professional growth and personal development. We are a value-driven organisation with clear guiding principles to meet project and Client expectations with strong understanding and commitment to HSEQ standards. Our core values: Respect, Integrity, Teamwork, Excellence, and Safety.

If you enjoy working with people from different parts of the world, we invite you to apply.

Far from ordinary – It is not your everyday job

Join DOF Subsea as a Project Engineer/Senior Project Engineer and be at the forefront of marine operations. You’ll:

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Snowflake Data Architect

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Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools.

Key Responsibilities

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ML Ops Architect

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

 

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role:

Job Skills

leadership terraform databricks cloud architectures compliance requirement cross functional agile system health version control scalable manage github high availability big datum distribute computing test automation workbench architectures technologies time performance engineers engineers computer science cloud compute visualization technologies manage cloud consultants airflow tableau job description azure data libraries azure databrick career development managed python experience designing google cloud platform collaborate reliable best practices azure machine learn analytics standard operating procedure programming machine learn creative perspective automated azure kubernete service governed data science google cloud market research scripting consulting scalability performance optimization real time azure monitor electrical engineering vulnerabilities collaborative machine learning infrastructure logging tracking scale e data pipelines ansible programming languages unix shell job scheduler processes tools
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