Job Description
Job description
Your opportunity
As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes.
On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments.
What you'll do
• Fine-tuning generative AI models to enhance performance.
• Designing AI Agents for conversational AI applications.
• Experimenting with new techniques to develop models for observability use cases
• Building and maintaining inference pipelines for efficient model deployment.
• Managing deployment and model versioning pipelines for seamless updates.
• Developing tooling to continuously validate models in production environments.
This role requires
• 2+ Years of experience with software engineering design practices.
• Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred.
• Experience working with transformer models and text embeddings.
• Proven track record of deploying and managing ML models in production environments.
• Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFaceTransformers, and SpaCy.
• Experience developing production-grade applications in Python.
• Proficiency in Kubernetes and containers.
• Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon.
• Expertise in Python, C++, Kotlin, or similar programming languages.
• Experience designing, developing, and testing scalable distributed systems.
• Familiarity with message broker systems (e.g., Kafka, RabbitMQ).
• Knowledge of application instrumentation and monitoring practices.
• Experience with ML workflow management, like AirFlow, Sagemaker, etc.
Bonus points if you have
• Familiarity with the AWS ecosystem.
• Past projects involving the construction of agentic language chains.
Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.
If you require a reasonable accommodation to complete any part of the application or recruiting process, please visit https://newrelic.avature.net/accommodations to submit your request.
Our hiring process
Please note that visa sponsorship is not available for this position.
In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.
New Relic is proud to be an equal opportunity employer. We foster a diverse, equitable, and inclusive environment, free from all types of discrimination, so our Relics can thrive. We hire people with different backgrounds, experiences, abilities and perspectives.
Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, ****** orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.
Review our Applicant Privacy Notice at
Your opportunity
As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes.
On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments.
What you'll do
• Fine-tuning generative AI models to enhance performance.
• Designing AI Agents for conversational AI applications.
• Experimenting with new techniques to develop models for observability use cases
• Building and maintaining inference pipelines for efficient model deployment.
• Managing deployment and model versioning pipelines for seamless updates.
• Developing tooling to continuously validate models in production environments.
This role requires
• 2+ Years of experience with software engineering design practices.
• Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred.
• Experience working with transformer models and text embeddings.
• Proven track record of deploying and managing ML models in production environments.
• Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFaceTransformers, and SpaCy.
• Experience developing production-grade applications in Python.
• Proficiency in Kubernetes and containers.
• Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon.
• Expertise in Python, C++, Kotlin, or similar programming languages.
• Experience designing, developing, and testing scalable distributed systems.
• Familiarity with message broker systems (e.g., Kafka, RabbitMQ).
• Knowledge of application instrumentation and monitoring practices.
• Experience with ML workflow management, like AirFlow, Sagemaker, etc.
Bonus points if you have
• Familiarity with the AWS ecosystem.
• Past projects involving the construction of agentic language chains.
Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.
If you require a reasonable accommodation to complete any part of the application or recruiting process, please visit https://newrelic.avature.net/accommodations to submit your request.
Our hiring process
Please note that visa sponsorship is not available for this position.
In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.
New Relic is proud to be an equal opportunity employer. We foster a diverse, equitable, and inclusive environment, free from all types of discrimination, so our Relics can thrive. We hire people with different backgrounds, experiences, abilities and perspectives.
Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, ****** orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.
Review our Applicant Privacy Notice at
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer| AI|ML Engineering position is now open for candidates interested in the Software Developer Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.