Architect - Machine Learning

Job description

Overview

Main Purpose of the Role:
As an AI/ML Architect you will be responsible for architecting, development, testing, implementation and maintenance of new and existing AI, CV platform capabilities and AI solutions useful for platform development. You will be exposed to a wide array of business applications that get tied together with our CV, AI components and will create value for the organization by automating business tasks

Responsibilities

Accountabilities:
• Lead and manage a team of talented professionals, providing mentorship, guidance, and fostering a culture of innovation and collaboration.
• Drive the development and implementation of innovative machine learning and AI projects, leveraging cutting-edge technologies and industry best practices.
• Collaborate with cross-functional teams, including data scientists, engineers, designers, and product managers, to define project requirements, scope, and objectives.
• Research and evaluate new technologies, frameworks, and tools related to machine learning, generative AI, computer vision, and automation, and make recommendations for their adoption.
• Apply strong engineering and architecture skills to design scalable and efficient machine learning solutions that meet business needs.
• Lead the development and deployment of machine learning models, ensuring their accuracy, reliability, and scalability.
• Drive the implementation of computer vision algorithms and techniques to solve real-world problems and enhance automation processes.
• Explore and experiment with generative AI techniques to generate novel and creative solutions in various domains.
• Collaborate with stakeholders to identify and prioritize areas of innovation, ensuring alignment with business goals and objectives.
• Stay abreast of the latest advancements in machine learning, AI, generative AI, computer vision, and automation, and proactively apply them to drive innovation within the organization.
• Provide technical leadership and guidance to the team, promoting best practices, knowledge sharing, and continuous learning.
• Manage and track project timelines, budgets, and resources to ensure successful project delivery.

Qualifications

Years of Experience:

1) Degree in Computer Science or Engineering or Equivalent with 6+ years of relevant experience in Computer Science/ Statistical Modelling & Analysis/Operations Research
2) 6+ years of development experience in Python
3) 3+ Years of experience in AI, ML, Deep Learning & Conversational AI Technologies
4) 5+ years of relevant hands-on experience as AI/Automation engineer using any one or more tools Azure ML, Azure AI, Python, Azure Could, SQL, Azure DevOps, Azure Storage and or Databricks
5) 2+ Experience in Architecture and design of cloud-based solutions using Python, R, Conversational AI, ML, Deep Learning technologies.
5) 2+ years of relevant experience on UI Path/OCR tools delivering intelligent automation solutions (preferable)
6) Solid understanding of python libraries for machine learning

 

Mandatory Technical Skills:

• Degree in Computer Science or Engineering or Equivalent with 6+ years of relevant experience in Computer Science/ Statistical Modelling & Analysis/Operations Research / Data Science
• Good understanding of Computer Vision/Image Processing and Deep Learning tools & techniques
• Understands Intelligent Automation solution development methodology and lifecycle
• Conversant with Cloud technologies (preferable MS Azure cloud and Azure DevOps)
• Conversant with OCR technologies (preferable Abby, Microsoft Vision, Google Vision, Tesseract)
• Good knowledge of estimation techniques and proposal writing
• Past working experience on a fast paced and agile environment (SAFe 5)
• Strong architecture & design background and should be able to design and deliver solutions quickly
• Strong analytical thinking, troubleshooting, and ability to manage multiple, concurrent projects
• Exposure to Azure ML and/or Azure data bricks is an added advantage
• Hands-on experience with MS Azure cloud

 

Mandatory Non Technical Skills:

• 1+ year of working experience on tools like Clarity, Azure DevOps, Jira, Git Hub etc.
• 2+ year of working experience on a fast paced and agile environment.
• Previous experience in at least 2-3 Image processing use cases on object detection, tracking, classification, recognition, scene understanding using Keras/Tensorflow/ PyTorch frameworks
• Exposure to DevSecOps process and tools like Azure DevOps.
• Experience working with Business / functional team to identify business problem, assessing the challenges and developing solutions.
• Conversant with Project Planning, Estimation & Analysis process and methodologies

 

Differentiating Competencies:
1) Should be able to work in Matrix environment
2) Build Capabilities by Training people on various Computer Vision, Generative-AI, AI-ML Technology Platforms
3) Drive initiatives from Inception to Delivery
4) should be able to articulate the concepts to various stakeholders to gain the confidence