The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

• Develop, train, and evaluate machine learning models using Python and relevant libraries.

• Build and maintain robust data pipelines using Spark and other data processing tools.

• Implement and manage MLOps processes for model deployment, monitoring, and retraining.

• Collaborate with data scientists, engineers, and product managers to understand business requirements and translate them into technical solutions.

• Write clean, efficient, and well-documented code.

• Conduct thorough testing and validation of models and pipelines.

• Stay up-to-date with the latest advancements in AI/ML and MLOps.

• Contribute to the continuous improvement of our AI/ML infrastructure and processes

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

• 6+ years of experience in developing and deploying machine learning models.

• Strong programming skills in Python, including experience with relevant ML libraries.

• Experience with Spark for data processing and pipeline development.

• Understanding of MLOps principles and tools.

• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).

• Excellent communication and teamwork skills.

• A strong desire to learn and grow in the field of AI/ML.

• Bachelor’s degree/University degree or equivalent experience

Bonus Points:

• Experience with containerization technologies (e.g., Docker, Kubernetes).

• Familiarity with CI/CD pipelines.

• Contributions to open-source projects.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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