Who we are

Build a brighter future while learning and growing with a Siemens company at the intersection of technology, community and sustainability. Our global team of innovators is always looking to create meaningful solutions to some of the toughest challenges facing our world. Find out how far your passion can take you.

About the Job

Brightly is seeking an exceptional leader to drive our artificial intelligence and machine learning strategy . This is a pivotal role for an experienced professional who can bridge the gap between powerful technical innovation and strategic business execution.

We are looking for a visionary leader who will architect, build, and scale our machine learning and AI capabilities while leading a world-class team of data scientists, ML engineers, and AI researchers. This role requires a unique combination of deep technical expertise, strategic thinking, and proven leadership abilities to drive AI initiatives that deliver measurable business value.

What you will do

Technical Architecture & Strategy

• AI/ML Strategy Development: Define and implement the company's long-term AI and machine learning strategy, aligning technical capabilities with business objectives
• System Architecture: Design and oversee the implementation of scalable, robust ML/AI infrastructure and platforms
• Technology Evaluation: Research, evaluate, and recommend emerging AI technologies, frameworks, and methodologies
• Standards & Best Practices: Establish ML engineering standards, model governance frameworks, and ethical AI guidelines
• Innovation Leadership: Drive research initiatives and explore modern applications of AI/ML technologies

Leadership & Management

• Team Building: Recruit, develop, and retain top-tier ML engineers, data scientists, AI researchers, and related technical talent
• Cross-functional Collaboration: Partner with product, engineering, and business teams to identify AI opportunities and deliver integrated solutions
• Stakeholder Management: Present technical strategies and progress to executive leadership and board members
• Budget Management: Manage department budget, resource allocation, and vendor relationships
• Performance Management: Set team goals, conduct performance reviews, and foster professional development

Technical Execution

• Model Development: Oversee end-to-end ML model lifecycle from research and development to production deployment
• Platform Development: Build and maintain ML platforms, tools, and infrastructure for model training, deployment, and monitoring
• Data Strategy: Collaborate with data engineering teams to ensure high-quality data pipelines and governance
• Quality Assurance: Implement robust testing, monitoring, and validation frameworks for ML systems

What you need

Education & Experience

• Experience: Minimum 8+ years of hands-on machine learning and AI experience, with at least 4+ years in leadership roles
• Industry Leadership: Proven track record of building and scaling ML/AI teams from ground up

Technical Expertise

• Machine Learning: Deep expertise in supervised/unsupervised learning, deep learning, reinforcement learning, and statistical modeling
• Deep Model Architecture: Extensive experience with transformer architectures, attention mechanisms, large-scale neural networks, and model optimization techniques
• Generative AI: Proven experience with generative models including Large Language Models (LLMs), diffusion models, GANs, VAEs, and multimodal AI systems
• AI Technologies: Experience with natural language processing, computer vision, recommendation systems, or other AI domains
• Programming Languages: Proficiency in Python, R, SQL, and familiarity with languages like Java, Scala, or Go
• ML Frameworks: Extensive experience with TensorFlow, PyTorch, scikit-learn, and other ML/AI frameworks
• Cloud Platforms: Hands-on experience with AWS, Google Cloud, or Azure ML services and infrastructure
• Big Data Technologies: Knowledge of Spark, Hadoop, Kafka, and distributed computing frameworks
• MLOps: Experience with model deployment, monitoring, and lifecycle management tools

Leadership & Business Skills

• Team Leadership: Demonstrated ability to lead, mentor, and develop high-performing technical teams
• Critical Thinking: Proven ability to translate business requirements into technical solutions and roadmaps
• Communication: Excellent written and verbal communication skills with ability to explain complex technical concepts to non-technical partners
• Project Management: Experience managing complex, multi-disciplinary projects with cross-functional teams

What makes you a Standout

• Advanced Education: Masters or Ph.D. in Computer Science, Machine Learning, Statistics, or related quantitative field; or Master's degree with exceptional industry experience
• Published research in top-tier ML/AI conferences or journals
• Experience with real-time ML systems and edge computing
• Knowledge of AI ethics, fairness, and responsible AI practices
• Prior experience in a high-growth technology company
• Understanding of regulatory compliance in AI (GDPR, CCPA, industry-specific regulations)
• Experience with A/B testing and experimental design

The Brightly culture

We’re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the every day with us.

Brightly maintains a Drug Free workplace in accordance with applicable law.