Senior Manager - AI/ML

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

About the Role

You will be responsible for driving the strategic direction of our AI and machine learning in HARMAN along with other key leaders. This hands-on role will involve formulating technical solution designs and deployment of enterprise-grade solutions for internal AI/ML projects and shaping organization’s long-term technology roadmap. The ideal candidate will have a strong technical background in AI/ML & data engineering and will be exceptionally proficient in working with cloud technologies. The incumbent in this role will be a hands-on technical authority in the field and will be responsible to deliver AIML projects by leveraging cloud-native architectures for AI/ ML , data and solution management. In this strategic role, you will be responsible for shaping the future of AI/ML within our organization, driving innovation, and ensuring the successful implementation of AI/ML solutions that deliver tangible business outcomes.

What You Will Do

• Drive Innovation, Differentiation & Growth
  • Design and build advanced AI systems that are scalable, reliable, and capable of delivering impactful results.
  • Lead the development of cutting-edge machine learning and deep learning solutions, including Generative AI applications.
  • Ownership on growth of the COE and influencing clients/ stakeholders’ revenues or cost through AI practice
  • Identify and prioritize high-impact opportunities for applying AI/ML across various business units, departments, and functions.
  • Lead the selection, deployment, and management of AI/ML tools, platforms, and infrastructure.
  • Oversee the design, development, and deployment of AI/ML solutions
  • Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets
  • Network with domain experts
  • Monitor and measure the performance of AI/ML initiatives, demonstrating ROI through cost savings, efficiency gains, and improved business outcomes.
  • Oversee the development, training, and deployment of AI/ML models and solutions.
  • Develop and propose AI/ML solutions tailored to stakeholder specific requirements.
  • Influence stakeholder revenues through innovative solutions and thought leadership.
  • Build and maintain strong relationships with key clients and stakeholders.
• Build Partner Ecosystem:
  • Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Run proof of concepts with AI partners offering innovative solutions.
  • Evaluate new AI products available in market or AI capabilities of existing technology partners
• Build re-usable Methodologies, Pipelines & Models
  • Create data pipelines for more efficient and repeatable data science projects
  • Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others
  • Hands on Coding in languages including R, Python, Scala, MATLAB, etc and building scalable models
  • Experience with popular databases including SQL, MongoDB and Cassandra
  • Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft Azure ML, Amazon SageMaker etc.
  • Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc.
  • Experience in regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc.

• Build AI Ecosystem:
  • Hands on development and deployment of AI & ML technical architecture.
  • Instilling best practices in software engineering and systems integration
  • Develop and implement ethical AI practices and governance standards.
  • Develop AI capability building programs along with HARMAN University
• People & Interpersonal Skills
  • Foster a culture of innovation and collaboration within the AI/ML team and across the organization.
  • Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.
  • Candidates should be confident, energetic self-starters, with strong communication skills.
  • Candidates should exhibit ability to present compelling solutions which guide and inspire.
  • Provide technical guidance and mentorship to the AI/ML team
  • Collaborate with other directors, managers, and stakeholders across the company to align the AI/ML vision and goals
  • Communicate and present the AI/ML capabilities and achievements to clients and partners
  • Stay updated on the latest trends and developments in the AI/ML domain

What You Need

• 12 + years of experience in the information technology industry with strong focus on AI/ML having led and support setting up AI/ML practice in IT services or niche AI/ML organizations
• 10+ years of hands-on experience in designing and implementing end-to-end ML solutions, driving projects as a technical SME, and independently developing AI systems from scratch.
• 5 + years of experience of setting up scalable cloud/On prem architectures for deploying and maintaining machine learning models in a production
• A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics.
• Hands-on experience in python coding and frameworks like PyTorch, building ML/DL models independently, as well as exposure to building Generative AI applications. In depth specialization in text analytics, image recognition, graph analysis, deep learning, computer vision is required,
• The candidate should be adept in setting up infra & augmenting AI workloads for performance and cost-efficiency; Exposure to ML-Ops methods to the construction of ML pipelines and as well as understanding big data technologies (e.g., Hadoop, Spark) will be useful.
• Candidate should have demonstrated the ability to drive data science projects while acting as a Principal architect/Engineer for the project.
• The candidate should have strong understanding of cloud computing concepts, having hands on experience in working with one of the cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions
• Experience in building solutions with AI/ML elements in any one or more domains – Automotive, Retail

What Makes You Eligible

• Be willing to travel up to 10%, domestic only OR domestic and international travel
• Be willing to work in an office

What We Offer

• Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
• Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)
• Extensive training opportunities through our own HARMAN University
• Competitive wellness benefits
• Tuition Reimbursement

Access to HARMAN Campus Fitness Center and Cafeteria

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.