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Opkey - Lead Artificial Intelligence Engineer - Machine Learning Models

Opkey - Lead Artificial Intelligence Engineer - Machine Learning Models

OpkeyBangalore
7 days ago
Job description

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 papers

    • ref : hirist.tech)

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