Staff Data Scientist

Key Skills

Java Programming, Design, Python Programming, SQL, Big Data Technology, Machine learning techniques, Data science techniques, Deep Learning, Natural Language Processing (NLP), Kubernetes-K8s, Continuous Integration & Continuous Delivery - CI/CD, CUDA/GPU programming, MLOps tools

Job Description

• Be part of a product team of 10-12 Data science, ML and Platform Engineers that are the crux for developing and maintaining Machine Learning /advanced analytics platforms and Big Data solutions on Lyve Cloud
• Work with customers and business stakeholders to understand the business needs and requirements and develop Analytics product roadmap and strategy as Analytics Solution Architect
• Collaborate with data scientists, data engineers and Business SMEs to design and develop end-to-end Analytics platform and supporting infrastructure
• Design, scale and deploy Machine Learning pipelines

About you:

• Are a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Advanced analytics with the complex and high-impact space of HiTech and Manufacturing analytics
• Are a motivated self-starter, you have the experience working in a dynamic environment
• Have a strong appetite for constant learning, thinking out of the box, and questioning problems & solutions with the intent to understand and solve in more creative ways
• Are uncompromisingly detail oriented, well organized with solid time management skills, and you have solid effective verbal and written communications abilities as well
• Have the ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
• Have excellent interpersonal skills to develop relationships with different teams and peers in the organization

Your experience includes:

• Excellent technical skills with a proven and successful history working with data at scale and empowering organizations through data
• In depth knowledge and working experience on the various aspects of training and deployment of deep learning solutions
• Analytics Systems Arcitecture and Design Principle experience 
• Strong understanding of machine learning algorithms & principles
• Experience building deep learning models for Computer Vision, Time Series Analytisc and Natural Language Processing at scale
• Familiarity with CPU/GPU architectures and numeric libraries
• Hands-on experience in distributed training of deep architectures: multi-GPU, multi-node, synchronous and asynchronous
• Proven experience with MLOps practices, CI/CD/CM/CT, and Agile development
• Experience with Containerized solutions and Kubernetes
• Creating a culture of technical excellence by leading code and design reviews, promoting mentorship, and identifying and promoting educational opportunities for engineers
• Bachelor's Degree in Computer Science, Data Science or Analytics and 8+ years experience, or Master’s Degree in Computer Science, Data Science or Analytics and 5+ years experience, or

  PhD and 3+ years of experience or equivalent education and experience.