Senior Backend Engineer - Python, Machine Learning

Role & responsibilities

Design and develop software programs to meet customer and business requirements.
• Coordinate systems analysis, systems development and implementation activities to ensure
customer requirements are met or exceeded.
• Organize and prepare program and system documentation according to established
procedures to facilitate ongoing support and maintenance.
• Collaborate with cross-functional teams, product teams to design and integrate .Net
Application and AI solutions into real-world applications.
• Recommend and implement technology and process improvements to increase efficiency.
• Perform formal code reviews and quality assurance activities for newly developed programs.
• Participate in both daylight and off-hour support rotation.
• Stay up to date with the latest advancements in engineering practices.
• Provide technical specialization in fostering a culture of innovation and continuous learning.
• Analyze, develop, and implement state-of-the-art techniques in the field of Sync and Async
.Net, Large Language Models (LLM) and Generative AI.
• Prevent unauthorized access to information, assets or restricted areas and report any
attempts.
• Maintain cognizance of industry trends and new products to evaluate opportunities for
achieving maximum effective usage of the Company's investment in information technology.
• Produce all management reports completely, accurately and on time.
• Report any type of problems to the appropriate management in a timely manner.
• Participate in educational and on-the-job training programs as recommended by IT
management.
• Communicate well with non-IT personnel and vendors.
• Assist in special projects as assigned and support production systems.
• Perform other duties as assigned

Preferred Candidate:

• Bachelor's or master's degree in computer science, artificial intelligence, machine learning,
  or a related field.
  • 5+ years impactful experience in Python with Al background
  • Proficiency in programming languages such as Python
  • Track record of successful deployment of application systems
  • Experience with testing and evaluation of systems