AI/ML Lead

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

At Harman DTS, we have a vibrant product, platforms and solutions team, with several award-winning products with a global client base. The products group is looking to recruit an AI/ML lead to accelerate build of market leading offerings, create new Intellectual Property and act as the guiding force behind all AI/Ml initiatives.

What is required for the role?

• 10+ years of experience in the information technology industry with strong focus on AI/ML having led, driven and set up a AI/ML practice in IT services or niche AI/ML organizations
• 8+ years of relevant experience in successfully launching, planning, and executing advanced data science projects.
• A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics.
• In depth specialization in text analytics, image recognition, graph analysis, deep learning, is required.
• The candidate should be adept in agile methodologies and well-versed in applying MLOps methods to the construction of ML pipelines.
• Candidate should have demonstrated the ability to manage data science projects and diverse
• Should have experience in creating AI/ML strategies & services, and scale capabilities from a technology, platform, and people standpoint.
• Experience in working on proposals, presales activities, business development and overlooking delivery of AI/ML projects
• Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication
• Be an accelerator to grow the practice through technologies, capabilities, and teams both organically as well as in-organically

What will the role do?

• Drive Differentiated Growth
  • Ownership on growth of the COE and Revenue through AI practice
  • Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets
  • Devise and execute transformation strategy to align to AI/ML needs for inhouse products/platforms and strategize GTM
  • Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc.
  • Guide and inspire the organization about the business potential and opportunities around AI/ML
  • Network with domain experts
• 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
  • Coding knowledge and experience in languages including R, Python, Scala, MATLAB, etc.
  • Experience with popular databases including SQL, MongoDB and Cassandra
  • Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML, Amazon SageMaker etc.
  • Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc.
  • Experience with regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc.
• People & Interpersonal Skills
  • 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 superior presentation skills and the ability to present compelling solutions which guide and inspire.