AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
All Filters
48 New Relic One Jobs
Senior Machine learning Engineer
New Relic One
posted 1d ago
Job Role Insights
Key skills for the job
Job Description
Your opportunity
Join our dynamic team as a Senior Machine Learning Engineer, where youll drive innovation across the entire ML lifecycle. Youll work on cutting-edge conversational AI bots, a Retrieval-Augmented Generation (RAG) system, and traditional ML solutions for our observability platform. This role involves both operational and engineering tasks, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. You will also focus on fine-tuning generative AI models, designing agentic language chains, and prototyping recommender system experiments.
What youll do
- Model Fine-Tuning: Enhance the performance of generative AI models.
- AI Agent Design: Create intelligent agents for conversational AI applications.
- Innovation Experimentation: Utilize new techniques to develop models for observability-related use cases.
- Pipeline Development: Build and maintain efficient inference pipelines for model deployment.
- Model Management: Oversee deployment and model versioning for seamless updates.
- Continuous Validation: Develop tools to ensure model accuracy and performance in production environments.
This role requires
Experience: 5+ years in machine learning or related fields.
Education: Bachelor s or advanced degree (Masters or Ph.D.) in Computer Science, Engineering, Mathematics, or related disciplines.
Education: Bachelor s or advanced degree (Masters or Ph.D.) in Computer Science, Engineering, Mathematics, or related disciplines.
Technical Expertise:
- Proven proficiency in deploying and managing ML models in production.
- Hands-on experience with transformer models and text embeddings.
- Familiarity with ML/NLP libraries, such as PyTorch, TensorFlow, Hugging Face Transformers, and SpaCy.
- 3+ years of experience with Python for developing production-grade applications.
- Proficiency in Kubernetes and containerization technologies.
- Knowledge of scikit-learn, Kubeflow and Seldon.
- Expertise in Python, C++, Kotlin, or similar programming languages.
- Experience creating scalable distributed systems.
- Familiarity with message broker systems (e.g., Kafka, RabbitMQ).
- Understanding of application instrumentation and monitoring practices.
- Experience with ML workflow management tools like Airflow, Argo or SageMaker.
Bonus points if you have
- Familiarity with the AWS ecosystem.
- Experience with the construction of agentic language chains
Employment Type: Full Time, Permanent
Read full job description What people at New Relic One are saying
What New Relic One employees are saying about work life
based on 4 employees
No travel
New Relic One Benefits
View more benefits
Compare New Relic One with
TCS
Compare
Accenture
Compare
Wipro
Compare
Cognizant
Compare
Capgemini
Compare
HDFC Bank
Compare
Infosys
Compare
ICICI Bank
Compare
HCLTech
Compare
Tech Mahindra
Compare
Genpact
Compare
Teleperformance
Compare
Concentrix Corporation
Compare
Axis Bank
Compare
Amazon
Compare
Jio
Compare
iEnergizer
Compare
Reliance Retail
Compare
IBM
Compare
LTIMindtree
Compare
Principal Product Manager - Generative AI & ML
7-9 Yrs
Hyderabad / Secunderabad
Share an Interview