Full Stack Software Developer & Machine Learning Engineer

at  Intel

JOB DESCRIPTION

We are looking for experienced individuals who are highly independent and passionate about working in dual roles as a full-stack developer as well as a machine learning engineer to support advanced manufacturing capabilities. Innovative thinkers who are highly interested in explorations, pathfinding, and piloting new capabilities using Predictive Modeling, Deep Learning, Computer Vision, Generative AI, Natural Language Processing, ML-based optimization/simulation, and other techniques Intel Foundry Manufacturing customers. If you’re passionate about blending digital innovation with machine learning technicalities and want to be part of Foundry Manufacturing’s cutting-edge transformation, we want to hear from you! Apply now, and let’s build the future of Emerging Technology Solutions together.

QUALIFICATIONS

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

MINIMUM QUALIFICATIONS

• Bachelors degree in Computer Science, Engineering degree, or related discipline.
• 3+ years of experience designing, building, deploying, and/or maintaining software/ML solutions.
• Strong knowledge in building web and mobile applications and/or integrating RESTful APIs.
• Strong experience in Angular 16+, .NET Core, C#, Python, SQL Database, HTML and/or JavaScript.
• Knowledge of big and fast data technologies (Scala, Spark, Cassandra, Hadoop, etc.) and/or rapid prototyping frameworks (RTOS, ADTF, DDS) including Large Language Models (LLMs).
• Excellent verbal and written communication skills
• Upper Intermediate to Advanced English level.

PREFERRED QUALIFICATIONS

• Result-oriented team player with strong problem-solving skills, and the ability to work across multiple teams.
• Knowledge in building machine learning workflows necessary to productize AI platforms, self-service AI solutions, or AI models and sustain them in production.
• Responsible for preparing data for ML models at scale, building appropriate inference interfaces for ML model consumption, and enabling MLOps for continuous delivery platforms, scaled/POR integration, deployment, adoption, and support.

• Uses modern software development methodologies and programming languages to solve overarching manufacturing needs.
• Familiar with Machine Learning Algorithms and LLM integration.
• Develop and maintain technical documentation and gather requirements for new business capabilities.
• Collaborate with a dream team of innovators/developers across Agile Release Train (ART) to deliver state-of-the-art software/ML solutions.
• Collaborate with cross-functional teams to Collect business requirements and convert them into technical specifications.
• Design, develop, test, deploy, and maintain Software and Data Platform technology stack
• Keeping up to date with modern data engineering technologies through the designing, developing, and validation of ML solutions.