ML Engineer

1 week ago

New York, United States Trigyn Technologies Full time

Job Description:

The Machine Learning Engineer works at the intersection of data engineering and machine learning to expand the capabilities of the client's ChatGPT-style generative AI solution. This role collaborates with other data engineers to build data pipelines and infrastructure to support the machine learning models. Furthermore, it requires hands-on work with the latest ML techniques to train, evaluate, and optimize natural language models that enhance UNify's conversational abilities. This position leverages the cross-functional skillset in data and ML to grow an impactful AI application supporting the UN's global operations.

Education: Bachelors or Master's degree in Computer Science or a related technical field.

Experience: 5+ years of experience building and deploying machine learning models and data pipelines.

Skills:
•Proficiency with Azure services including Azure ML, Databricks, Data Factory, SQL Database, Cosmos DB, etc.
•Experience with programming languages like Python, R, and Scala.
•Knowledge of machine learning frameworks like PyTorch, TensorFlow, and scikit-learn.
•Experience with big data tools like Spark, Kafka, and Hadoop.
•Understanding of cloud architecture and development best practices.
•Strong math and statistical knowledge.

Responsibilities:
•Develop and optimize scalable end-to-end machine learning pipelines, from data acquisition to model deployment.
•Build, evaluate and productionize machine learning models using cutting edge techniques.
•Work closely with business stakeholders and data scientists to identify opportunities where ML can drive business impact.
•Monitor and maintain ML models in production to ensure continued model performance.
•Design and develop data infrastructure to support analytics and machine learning.
•Identify, analyze, and visualize insights from large, complex datasets.
•Adhere to security, privacy, and compliance requirements.
•Stay up to date on the latest ML advancements and techniques.

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