Ai Engineering Manager
2 settimane fa
Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors. At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of today, the Camlin operation spans over 20 countries across the globe.
Job Summary:
We are seeking an experienced and visionary AI Engineering Manager to lead and scale our AI team within the energy sector. The AI Engineering Manager will play a critical role in driving the development and deployment of advanced AI solutions, collaborating with AI engineers and data scientists to achieve impactful outcomes. Reporting to the Data Solutions Manager, the ideal candidate will possess strong technical expertise, leadership skills, and a proven track record in managing AI initiatives.
Responsibilities:
Lead a team of AI engineers and data scientists to design, develop, and deploy innovative AI solutions for network monitoring, forecasting, and fault prediction. Work closely with cross-functional teams, to align AI initiatives with overall business goals and strategies. Define project objectives, timelines, and deliverables, ensuring successful execution of AI projects from inception to deployment. Provide guidance and mentorship to team members, fostering skill development and growth within the AI team. Collaborate with Data Solutions Manager to integrate AI solutions seamlessly into the broader data architecture and strategy. Stay updated with the latest advancements in AI and machine learning technologies, and apply this knowledge to enhance AI capabilities. Drive a culture of innovation, continuous learning, and collaboration within the AI team. Communicate effectively with stakeholders, presenting technical concepts and progress updates in a clear and concise manner. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.Proven experience in leading AI projects and managing AI engineering teams.Experience with AI and machine learning techniques.Experience with deploying AI models in production environments.Familiarity with Data Engineering practicesTechnical background and knowledge of modern data stackExcellent problem-solving skills and a track record of delivering AI solutions that drive business value.Strong communication and interpersonal skills, with the ability to collaborate across teams. What's in it for you:
Cutting-Edge TechnologyImpactful WorkCollaborative EnvironmentChallenging and Engaging WorkCompetitive Compensation and Benefits Our Values:
We work together - We know that working collaboratively will help us reach our shared goals faster, so we always look for ways to help each other. We believe in people - Here at Camlin, our people are central to what we do and what we can achieve. And as we move towards becoming industry and customer 'partners' that's even more important. We trust our team members to do their best and be supportive. We won't accept the 'way it's always been done' - Since Camlin's inception, we've been curious, inquisitive, and always want to improve. Thinking differently is in our DNA and we love solving tough challenges. We listen to learn - Whether it's our customers, our markets, or each other, we ask questions and listen to the answers so we can learn and improve. We're trying to do the right thing - We take responsibility for our actions and take decisions based on what's right for people, profit and planet. EQUAL EMPLOYMENT OPPORTUNITY STATEMENT
Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.
Ready to shape the future of energy with us? Apply now and become a part of the Camlin Energy innovation journey
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