Intel Full Stack Software Developer & Machine Learning Engineer 

Costa Rica, San José 

900404274

Responsibilities:

• 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 ofinnovators/developersacross 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.

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.

Experienced HireShift 1 (Costa Rica)Costa Rica, San Jose