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47 New Relic One Jobs
Machine Learning Engineer
New Relic One
posted 6hr ago
Job Role Insights
Key skills for the job
Job Description
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- Develop and maintain machine learning pipelines for data processing, model training, and deployment.
- Train, evaluate, and optimize machine learning models to ensure accuracy, efficiency, and scalability.
- Monitor and evaluate the performance of machine learning models in production and identify opportunities for improvement.
- Work with stakeholders, data analysts and data engineers to design, develop, and deploy machine learning models and deep learning architectures to solve business outcomes of customer acquisition, cross-sell/upsell, and customer retention.
- Leverage languages such as Python and SQL, and relevant libraries (NumPy, Pandas) to manipulate data and draw insights from large data sets.
- Build RAG pipelines to drive business outcomes by leveraging LLM techniques for facilitating improved customer engagement and decision-making processes.
This role requires
- BS/MS degree in Computer Science or PhD in Statistics, Mathematics, Data Science or relevant field.
- At least 3+ years of experience as a Data Scientist or ML Engineer.
- Hands-on experience in writing production code in Python and SQL.
- 3+ years of experience in demonstrating use of numerical and machine learning libraries (NumPy, Pandas, scikit-learn, Tensorflow, etc.)
- Strong experience with the open-source and AWS Cloud ecosystem (experience with EMR, EKS, Snowflake, S3, SageMaker, and abacus.ai).
- Proven experience in designing, developing, and deploying machine learning models, with a strong focus on NLP tasks.
- Expertise in LLM architectures and frameworks (e.g., Transformer models, GPT).
- Expertise in Machine Learning/statistical techniques, including Regression, Classification,
- Ensemble Methods, Deep Learning, and Reinforcement Learning).
- Hands-on experience with git.
Bonus points if you have
- Dbt experience is good to have
Employment Type: Full Time, Permanent
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