Custom Software Engineer - ML

As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, fostering innovation and adaptability in a dynamic environment.

Responsibilities:

• Develop custom software solutions to design, code, and enhance components across systems or applications.
• Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
• Expected to be an SME, collaborate, and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead efforts to identify and implement process improvements that enhance team productivity and software quality.
• Mentor junior team members to support their professional growth and integration within the team.
• Coordinate cross-functional communication to ensure alignment of project goals and timely delivery.
• Drive innovation by exploring new technologies and approaches that can benefit the project and organization.

Requirements:

• Must-have skills: Proficiency in Machine Learning (ML).
• Strong knowledge of the software development life cycle and agile methodologies.
• Experience with designing and implementing scalable software architectures.
• Ability to analyze complex problems and develop effective solutions.
• Familiarity with modern programming languages and frameworks relevant to custom software development.
• Competence in performance optimization and debugging techniques.
• The candidate should have a minimum of 7.5 years of experience in machine learning (ML).
• A 15-year full-time education is required.