Software Engineering & AI Intern developing internal automation and AI-driven solutions at Aspen Power. Supporting operational efficiency through workflows, applications, and collaboration with teams.
Responsibilities
Identify opportunities across the organization for automation and AI-driven process improvements.
Design and build agentic workflows to streamline repetitive tasks and enhance operational efficiency.
Develop automation programs and scripts to facilitate data flow, data validation, and system integrations.
Assist in building and deploying internal tools as web applications, Azure Functions, or APIs.
Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
Measure, analyze, and report on time savings, performance improvements, and decision-making enhancements resulting from implemented solutions.
Document technical designs, workflows, and best practices to ensure maintainability, knowledge sharing, and long-term scalability.
Requirements
Bachelor’s or Master’s degree (or degree in progress) in Computer Science, Computer Engineering, Data Science, Analytics, or a related technical field.
Proficiency in Python or another modern programming language (e.g., C#, JavaScript, Java).
Familiarity with APIs, web services, and basic software development principles (object-oriented programming, version control, testing).
Exposure to building or supporting machine learning pipelines (data ingestion, preprocessing, feature engineering, model integration, and monitoring).
Foundational knowledge on machine learning concepts and experience working with data (cleaning, transformation, validation, or analysis) is preferred.
Familiarity with AI integrations such as working with LLM APIs, automation frameworks, or embedding AI capabilities into applications and business processes.
Strong analytical and problem-solving skills with the ability to break down complex problems into actionable solutions.
Detail-oriented, organized, and able to manage multiple tasks in a fast-paced environment.
Excellent communication and teamwork skills, with the ability to collaborate across technical and non-technical stakeholders.
Benefits
Learn more about our generous employee benefits and perks by visiting Aspen Careers.
Backend Developer joining a digital development organization in Stockholm to design and develop scalable solutions. Collaborating across teams to enhance innovative digital platforms in a fast - paced environment.
Software Engineer at NetApp Instaclustr enhancing open - source application platforms and collaborating with teams to solve complex problems. Leading development lifecycle and applying DevOps best practices.
Senior Developer focused on backend systems development using Java and Spring Boot. Responsible for microservices architecture, API development, and ensuring application security.
Full - Stack Developer creating innovative solutions in a collaborative environment at Uzinakod. Engaging with clients while delivering value across various business domains.
Research and design advanced cellular communication algorithms leveraging ML techniques for 5G products at Parallel Wireless. Join a team reimagining mobile networks with innovative solutions.
Staff Software Engineer driving development of Cloudera's AI and machine learning platform. Collaborating with cross - functional teams to create scalable enterprise applications.
Staff OpenSearch Engineer driving technical vision and mentoring at Cloudera. Leading scalable search infrastructure design for data discovery and analytics.
Software Engineer contributing to Cloudera's Data Engineering Experience and Apache Spark Team. Implementing scalable solutions and collaborating with distributed teams on large - scale data challenges.
Tech Lead responsible for guiding global teams in agile software delivery and technical discussions. Focused on engineering excellence and mentoring within Fidelity's architecture team.
Software Engineer developing a digital maintenance assistant that reduces unplanned downtime through predictive maintenance. Analyzing machine data and enhancing customer applications with ownership of the data warehouse.