At Opkey, we are disrupting the space of ERP transformation testing by building an AI-powered No Code Testing platform for Enterprise business applications (like Oracle Fusion Cloud, SAP S4Hana, SAP, Workday, Salesforce, and the likes).
Opkey is a fast-growing VC-backed continuous end-to-end test automation software company headquartered in Dublin, California, with additional offices in Pittsburgh (opened in 2022), NYC (opened in 2022), & India (Noida & Bangalore).
Key Responsibilities :
- Architect, build, and deploy AI / ML models for SaaS products at scale.
- Lead the end-to-end lifecycle of AI projects from data exploration, model development, validation, and deployment, to monitoring and maintenance.
- Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings.
- Implement and optimize Retrieval-Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI / ML techniques.
- Define and uphold best practices in AI model development, MLOps, and scalable deployment.
- Mentor and guide a team of AI / ML engineers, setting technical direction and fostering a culture of innovation and excellence.
- Partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives.
- Stay abreast of advancements in AI and contribute thought leadership internally and externally.
Required Skills & Experience :
8+ years of experience in AI / ML engineering, with a strong record of working in SaaS and product-based environments.Expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and / or Generative AI.Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.Solid experience in designing scalable AI architectures and deploying models in production environments (AWS, GCP, Azure, etc.Strong programming skills in Python; familiarity with other languages like Java, Go, or Scala is a plus.Deep understanding of MLOps, CI / CD for machine learning pipelines, containerization (Docker, Kubernetes).Experience with LLM fine-tuning, prompt engineering, vector databases (e., Pinecone, FAISS) is highly desirable.Non-negotiable Requisite] Has experience is having trained a SLM (or Medium Language Model), for a particular vertical. This includes pre-training and fine-tuning.Strong problem-solving skills and ability to navigate ambiguous technical challenges.Excellent communication, leadership, and stakeholder management skills.Preferred Qualifications :
Masters or Ph. in Computer Science, Machine Learning, Data Science, or a related field.Experience in Go-to-Market Strategy for AI-powered products.Experience integrating AI into customer-facing SaaS products with measurable outcomes.Contributions to open-source AI projects or published research papersref : hirist.tech)