**Job Overview:** The Senior Technology Specialist (IT) applies in-depth knowledge, experience, and best practices in the area of technology. They are responsible for solving complex technical problems and work independently with minimal guidance. **Key Tasks and Responsibilities:** + Perform product development from idea to prototype and further deployment. + Apply knowledge and skills to a wide range of standard and nonstandard situations. + Manage own time to meet agreed deadlines and budgets and develop plans for short-term work activities in own area. + Clearly communicate and explain complex issues and work to establish understanding. + When acting as Product Lead, in addition: + Direct small or medium Engineering team as a Product Lead Engineer. + Lead the assigned work area and complete within planned schedule and budget, in accordance with standards, MDR and project - specific procedures and to a high professional standard. + Plan, organize and direct all aspects of Discipline execution on the assigned project including scope, deliverables, schedule and all worker resources - agree allocations with the Discipline Manager. + Ensure interfaces and deliverables are clearly identified. + Maintain responsibility for progress and productivity, identifying any required corrective action. + Act as project representative for the Discipline during meetings with Project Team, Customer discipline lead and relevant agencies such as certifying authorities, auditors, third parties etc. + **Strategic Development and Leadership:** Develop and implement a comprehensive AI/ML strategy aligned with organizational goals. Lead teams in the design, development, and deployment of advanced AI/ML systems. + **Advanced Model Engineering:** Design and engineer state-of-the-art machine learning models. Address complex challenges in AI, such as scalability, efficiency, and automation. + **Technical Oversight:** Provide technical leadership and oversight across multiple projects. Ensure best practices are followed and that solutions are scalable, sustainable, and effectively integrated. + **Research and Innovation:** Drive research initiatives to explore new technologies and methodologies in AI/ML. Stay abreast of industry trends and advancements to maintain a competitive edge. + **Mentorship and Team Development:** Mentor and develop junior and mid-level engineers and programmers. Foster a culture of learning and continuous improvement within the team. + **Stakeholder Engagement:** Engage with stakeholders across the organization to understand business needs and translate them into AI/ML solutions. Communicate complex technical concepts to non-technical audiences. + **Solution Architecture:** Architect and design robust AI/ML systems and frameworks. Ensure systems are scalable, reliable, and efficient. + **Quality Assurance and Best Practices:** Establish and maintain high standards of quality. Implement best practices in coding, testing, and deployment. + **Integrate models into systems:** + Collaborate with software engineers and IT teams to seamlessly incorporate machine learning models into production environments. + Design and develop APIs or interfaces for model integration, ensuring compatibility with existing systems. + Optimize model performance for real-time or batch processing as required by the application. + Develop automated workflows for model training, testing, and deployment to streamline the integration process. **Essential Qualifications and Education:** + Bachelor, Master’s or PhD Degree in Computer Science, Engineering, AI, Mathematics, or a related field. + 5-10 yrs in AI/ ML or software development, with a proven track record of successful projects. + Strong working knowledge of many design techniques and analysis methods, and detailed knowledge of the content and application of standards, codes and guidelines as applicable. + Extensive experience in AI and ML, with a strong portfolio of successful projects. + Expert-level knowledge in programming languages such as Python, Java, or other relevant programming languages. + Deep expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). + Solid understanding of data structures, algorithms, statistical methods, and computational complexity. + Published research or significant contributions to the AI/ML field is preferred. + Experience with cloud platforms like AWS, Azure, or Google Cloud. + Familiarity with DevOps practices and tools. + Exceptional problem-solving, analytical, and critical thinking skills. + Outstanding communication, leadership, and project management abilities + Show flexibility and ensure proper hand-over with regards to: + The reassignment to other departments/construction sites/fabrication yards. + The replacement of colleagues during illness and holidays. + The provision of assistance to other colleagues with heavy workload (also other projects) when possible/desirable. + The managing/learning of current working methods and software applications. + The reassignment to other McDermott offices \#LI-NS1 \#dice Our ingenuity fuels daily life. Together, we’ve forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably. For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries. McDermott is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, genetic information, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.