Custom Software Engineer

Custom Software Engineer

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. Must have skills: Machine Learning. Minimum 7.5 year(s) of experience is required. Educational Qualification: 15 years full time education.

As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process. You will be responsible for delivering high-quality code while adhering to best practices and project timelines, ensuring that the applications meet client requirements and expectations.

Roles & Responsibilities:

• Seasoned IT software delivery professional with an experience of 10+ years development and application architecture.
• Leadership & Collaboration skills: strategic technical leadership and vision, expert in the complete TDLC, continuously improving methodologies and tooling, guides the adoption of new technologies (e.g. cloud services, automation frameworks), AI Governance Program, Cost & Risk Guardrails, Enterprise Protocols, Resilience & Portability, Outcome-first Roadmapping.
• Domain: broad and authoritative domain mastery across distribution channels, strategy with business leaders using deep knowledge of mutual fund distribution, brokerage, retirement products, etc., drives domain-oriented innovation, ensures engineering teams maintain a strong focus on domain needs.
• High AI fluency: drives AI-enabled engineering at scale, highly AI-fluent and adept at leveraging AI throughout the development lifecycle, evaluates and introduces new AI tools to the team, champions AI adoption across the organization, ensures human creativity and expertise complement AI automation.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Machine Learning.
• Strong understanding of various machine learning algorithms and their applications.
• Experience with data preprocessing and feature engineering techniques.
• Familiarity with programming languages such as Python or R for machine learning tasks.
• Ability to work with data visualization tools to present findings effectively.

Additional Information:

The candidate should have minimum 7.5 years of experience in Machine Learning. This position is based at our Bengaluru office. A 15 years full time education is required.

About Accenture: Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Equal Employment Opportunity Statement: We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.