Opkey Lead Artificial Intelligence Engineer MLOps

Smart Software Testing Solutions; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

A cutting-edge company is seeking an experienced AI/ML Engineer to architect and deploy AI solutions for its SaaS products. The ideal candidate will have over 8 years of experience, a deep understanding of AI/ML technologies, and a proven track record in leading projects. This role involves collaborating with various teams to integrate AI capabilities and mentoring less experienced engineers. Candidates should be proficient in frameworks such as TensorFlow and PyTorch, and have strong problem-solving and leadership skills.

Qualifications

• 8+ years of AI/ML engineering experience in SaaS and product environments.
• Hands-on with frameworks like TensorFlow, PyTorch.
• Experience training a Specialized Language Model.

Responsibilities

• Architect, build, and deploy AI/ML models for SaaS products at scale.
• Lead the end-to-end lifecycle of AI projects, ensuring integration with product teams.
• Mentor and guide a team of AI/ML engineers, fostering innovation.

Skills

Machine Learning

Deep Learning

NLP

Computer Vision

Generative AI

Problem Solving

Communication

Leadership

Education

Masters or Ph.D. in Computer Science

Masters or Ph.D. in Machine Learning

Masters or Ph.D. in Data Science

Related fields

Tools

TensorFlow

PyTorch

Hugging Face Transformers

Docker

Kubernetes

AWS

GCP

Azure

Job description

Key Responsibilities:

1. Architect, build, and deploy AI/ML models for SaaS products at scale.
2. Lead the end-to-end lifecycle of AI projects, including data exploration, model development, validation, deployment, monitoring, and maintenance.
3. Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings.
4. Implement and optimize Retrieval-Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI/ML techniques.
5. Define and uphold best practices in AI model development, MLOps, and scalable deployment.
6. Mentor and guide a team of AI/ML engineers, setting technical direction and fostering innovation and excellence.
7. Partner with stakeholders to define AI strategies aligned with technology roadmaps and business objectives.
8. Stay updated on AI advancements and contribute thought leadership internally and externally.

Required Skills & Experience:

• 8+ years of AI/ML engineering experience in SaaS and product environments.
• Expertise in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
• Hands-on with frameworks like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience designing scalable AI architectures and deploying models in cloud environments (AWS, GCP, Azure).
• Strong Python programming skills; familiarity with Java, Go, or Scala is a plus.
• Deep understanding of MLOps, CI/CD pipelines, containerization (Docker, Kubernetes).
• Experience with LLM fine-tuning, prompt engineering, vector databases (e.g., Pinecone, FAISS).
• [Non-negotiable] Experience training a Specialized Language Model (SLM) or Medium Language Model for a specific vertical, including pre-training and fine-tuning.
• Strong problem-solving skills and ability to handle ambiguous technical challenges.
• Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications:

• Masters or Ph.D. in Computer Science, Machine Learning, Data Science, or related fields.
• Experience with Go-to-Market strategies for AI-powered products.
• Experience integrating AI into customer-facing SaaS products with measurable outcomes.