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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 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.
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.
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