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Senior Machine Learning Engineer - Job Opportunity at Oracle

India, IN
Full-time
Senior
Posted: April 19, 2025
On-site
USD 120,000 - 180,000 per year based on location and experience level

Benefits

Comprehensive cloud technology exposure
Innovation-driven environment
Enterprise-scale impact
Research and development opportunities
Professional growth in cutting-edge AI/ML

Key Responsibilities

Lead development of scalable ML infrastructure and microservices
Design and implement AI services for vision, speech, and NLP
Drive POC development for enterprise AI solutions
Collaborate on cross-functional infrastructure projects
Lead R&D initiatives for backend optimization
Implement and optimize ML models using modern frameworks
Architect cloud-based AI solutions

Requirements

Education

Master's degree or equivalent experience in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field

Experience

3+ years for PhD or 5+ years for Masters

Required Skills

Python/C++ Machine learning frameworks (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax) Cloud platforms (OCI, AWS, GCP, Azure) Microservices architecture Spring Boot (Java) Docker/Kubernetes Data structures and algorithms Performance tuning Agile methodologies
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Sauge AI Market Intelligence

Industry Trends

Enterprise AI adoption is accelerating with a focus on pre-built, customizable solutions that reduce implementation complexity Cloud providers are competing intensely in the AI/ML platform space, with Oracle positioning itself as an enterprise-first solution There's increasing demand for AI solutions that can be deployed without extensive in-house AI expertise The market is shifting towards specialized AI services that can be easily integrated into existing enterprise workflows

Role Significance

Typically part of a 8-12 person core development team with broader collaboration across product and platform teams
Senior individual contributor role (IC3) with significant technical leadership responsibilities and architectural decision-making authority

Key Projects

Enterprise-scale AI service platform development Custom ML model deployment and optimization systems Automated training and inference pipelines Cross-platform AI service integration Performance optimization and scaling solutions

Success Factors

Deep expertise in both ML frameworks and distributed systems Ability to balance theoretical ML knowledge with practical engineering constraints Strong architectural vision for scalable AI systems Experience with enterprise-grade deployment and optimization Effective cross-functional collaboration skills

Market Demand

Very High - Enterprise AI platform development is a strategic priority across major cloud providers, with significant investment and growth expected over the next 3-5 years

Important Skills

Critical Skills

Strong software engineering fundamentals combined with deep ML expertise Experience with distributed systems and cloud architecture Production ML deployment and optimization knowledge Cross-platform cloud services understanding

Beneficial Skills

Open-source contribution experience Enterprise software development background Domain expertise in computer vision or NLP Experience with high-performance computing optimization

Unique Aspects

Focus on enterprise-ready AI solutions rather than research-oriented development
Opportunity to influence Oracle's AI platform strategy
Exposure to large-scale enterprise customer use cases
Balance between innovation and enterprise stability requirements

Career Growth

2-3 years in role before advancement, depending on impact and organizational growth

Potential Next Roles

Principal Machine Learning Engineer Technical Architect - AI Platforms Engineering Manager - ML Infrastructure Chief AI Architect

Company Overview

Oracle

Oracle is aggressively expanding its cloud infrastructure offerings, with OCI being a strategic growth driver and AI services being a key differentiator

Major enterprise technology provider transitioning to cloud-first strategy, competing directly with AWS, Azure, and GCP
Significant investment in Indian engineering centers for core product development
Fast-paced, innovation-focused environment with strong emphasis on enterprise-grade reliability and scalability
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