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Hiring- Machine Learning Engineer in New York City, NY (Hybrid) at New York City, New York, USA
Email: [email protected]
From:

sarfaraz,

convextech Inc

[email protected]

Reply to:   [email protected]

Hi

Hope you are doing good.!!

Please let me know if you are interested in the below position

!!

Role: Machine Learning Engineer

Location: New York City, NY (Hybrid) 

Duration : 6 months

Visa : No H1b/CPT

Job Description: 

Responsibilities:

Develop and optimize scalable end-to-end machine learning pipelines, from data acquisition to model deployment.

Build, evaluate and produce 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.

Requirements:

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

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

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.

Thanks and Regards

Sarfaraz Khan

US IT Recruiter | Convex Tech In

Email: 
[email protected]

LinkedIn:https://www.linkedin.com/in/sarfaraz-khan-stellar/

Keywords: machine learning database rlang information technology New York
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Sat Jan 27 02:00:00 UTC 2024



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Location: New York City, New York