Software Engineering Manager - AI/ML

Key Skills

Aartificial intelligence, Ansible, Apache Hadoop, AWS, Continuous Integration & Continuous Delivery - CI/CD, Design, DevOps, Java Programming, Kubernetes-K8s, Machine learning techniques, Natural Language Processing (NLP), Python Programming, SQL, Terraform

Job Description

In this role you will directly work with engineering teams responsible for Lenovo Device intelligence a PC health management SaaS solution using proactive device insights and AI-driven predictive analytics to help keep fleets running at peak performance. You’ll be part of highly dynamic agile software development team and will be involved in the solution design from the conceptual stages through the development cycle and deployments. You will participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms .You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You will ensure that the development processes, architecture, and standards are followed. You will take the leadership in ensuring code quality and secured programming practices. The focus of this role is more on solution design and technical execution, there is also an emphasis on mentoring software development staff and helping with their professional development as the technology expert.

Responsibilities

• Manage team responsible for the core infrastructure, tooling and services that Lenovo AI/ML properties run on
• Exploratory analysis, predictive modeling, risk modeling, and data mining using R and/or Python
• Extensive experience in linear and non-linear regression techniques
• Construct optimized data pipelines to feed ML models as needed, Retrain, maintain, and monitor models in production
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
• Collaborate closely with Technical Product Managers, Data Scientists, Observability team, Privacy and Security teams to brainstorm, prototype and bring software enhancements into production
• Comfortable making tradeoffs to ensure expediency in delivering value while maintaining product quality and reliability
• Ensure delivery of high-quality software from your team by setting architecture standards, clean and secured coding practices, utilizing automated unit tests, continuous integration, and code reviews.
• You’ll manage activities in multi-functional areas of sections, ensure appropriate operational planning and effective execution.
• Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community.
• You will regularly discuss short- and long-term architectural objectives and occasionally advise on solutions approach, where applicable.

• Proactively engage peer managers and engineering leads across the Engineering Organization to ensure development is meeting the needs of customers both internal and external.
• Travel may be required (5%) for meetings, technical reviews and onsite delivery activities.

Qualifications:

• BA/BS degree in Computer Science or related software engineering field, or equivalent practical experience.
• 5+ years in Data Engineering & developing AI & ML apps
• Exploratory analysis, predictive modeling, risk modeling, and data mining using R and/or Python
• 8+ years of experience in Solution Design and Software Architecture; at least 5 years of software architecture experience in public cloud platforms
• Significant experience with Python, Java, Hadoop, SQL Database/Coding, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau
• 2+ years’ experience in the following Cloud native technologies: AWS, Kubernetes, Microservices, Containers, Ansible, Terraform
• 3+ years’ experience of CI/CD and DevOps experience in an Agile environment

Preferred Qualifications:

• Nice to have experience in Scaling AI /ML services, performance testing.
• Nice to have AWS Sage maker, On device AI