InfoTech
/ Industrial Equipment [ Remote ]
12 months
Python Developer with AI/ML Expertise
CLIENT:
US Industrial Equipment & Manufacturing Company
CONSULTANT:
He is an accomplished Full Stack Developer with over 15 years of experience in solution design, web and mobile app development. He has strong expertise in Java, Spring, Hibernate, PHP, Android, Python, and modern front-end frameworks such as Angular, ReactJS, and Vue.js. Arjun has successfully led and delivered end-to-end projects across multiple domains, working on enterprise applications, fintech solutions, reconciliation tools, payment gateways, and compliance utilities.
He has worked with global clients including Blackrock, Visa, SHL, Caterpillar, and Truelancer, and has experience in both independent consulting and corporate roles. His past employment includes senior engineering roles at Caterpillar India, Magna Infotech, and Fullerene Solutions.
He is adept at building scalable microservices-based architectures, integrating third-party APIs, and deploying applications on AWS and Microsoft Azure. With a solid grounding in Agile and Waterfall methodologies, he is known for problem-solving, mentoring teams, and driving innovation from project inception to deployment.
He has worked with global clients including Blackrock, Visa, SHL, Caterpillar, and Truelancer, and has experience in both independent consulting and corporate roles. His past employment includes senior engineering roles at Caterpillar India, Magna Infotech, and Fullerene Solutions.
He is adept at building scalable microservices-based architectures, integrating third-party APIs, and deploying applications on AWS and Microsoft Azure. With a solid grounding in Agile and Waterfall methodologies, he is known for problem-solving, mentoring teams, and driving innovation from project inception to deployment.
ASSIGNMENT:
- To develop and optimize AI/ML models to deliver innovative data-driven solutions.
- Build scalable AI/ML models for predictive and prescriptive analytics.
- Collaborate with cross-functional teams to refine model performance.
- Implement data pipelines for efficient processing and model training.
- Ensure code quality and maintainability through best practices.
- Explore and integrate the latest AI/ML frameworks and tools.
- Build scalable AI/ML models for predictive and prescriptive analytics.
- Collaborate with cross-functional teams to refine model performance.
- Implement data pipelines for efficient processing and model training.
- Ensure code quality and maintainability through best practices.
- Explore and integrate the latest AI/ML frameworks and tools.
OUTCOME:
- Delivery of innovative, data-driven solutions to support smarter decision-making.
- Development of predictive and prescriptive models that generate actionable business insights.
- Improved model accuracy, efficiency, and reliability through cross-functional collaboration.
- Establishment of scalable data pipelines enabling faster processing and deployment.
- Creation of robust, maintainable, and future-ready AI/ML systems by following best practices.
- Adoption of the latest AI/ML frameworks and tools to drive innovation and competitiveness.
- Tangible business impact in the form of higher productivity, cost savings, and strategic advantage.
- Development of predictive and prescriptive models that generate actionable business insights.
- Improved model accuracy, efficiency, and reliability through cross-functional collaboration.
- Establishment of scalable data pipelines enabling faster processing and deployment.
- Creation of robust, maintainable, and future-ready AI/ML systems by following best practices.
- Adoption of the latest AI/ML frameworks and tools to drive innovation and competitiveness.
- Tangible business impact in the form of higher productivity, cost savings, and strategic advantage.