Software Architect

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
As a Sr.AI Engineer you will be part of a high-performance team working closely with the product owners to identify the problem statement and convert the customer into an AI/ML problem. You should learn and understand what can be solved and what could be difficult to solve and take appropriate calls.
Responsibilities:
As a Sr. AI Engineer you will be required to lead/independently contribute the delivery team

• Plan out a development roadmap for the enterprise development team and provide relevant insights to the product owners on insight about the Algorithm industry practices and research papers.
• Acting as anAI/ML subject matter expert with regards to business needs and application design-related activities which includes configuration and design reviews within a project team
• Drive effective project delivery and coordination through a highly collaborative approach.

As an Engineer you are required to Develop Host Tune the AI models Manage the infrastructure needs and Design the solution considering all possible trade offs

Required Technical and Professional Expertise

• TensorFlow Keras pyTorch
• NLPNLTP Python packages for AI and ML
• Data Analysis using Excel R Python SPSS Saas Cognos
• Applied Math Linear Algebra Calculus Statistics
• Algorithms Neural Networks

Preferred Technical and Professional Expertise

• IBM Watson experience Cloud Technologies
• Exposure to Conversational Technologies
• Microservices Kubernetes