Why this role stands out
Advance your career as an AI/ML Architect at OVS Technologies Inc., where you'll design and implement cutting-edge Generative AI solutions with significant enterprise impact. This hybrid role offers fantastic growth potential for experienced professionals skilled in LLMs, cloud AI services, and Python, especially those with ServiceNow integration expertise. Seize this opportunity to shape the future of AI within a reputable technology firm.
Quick overview
Job description
AI/ML Architect
Location: Remote
Duration: Long-Term Contract / Full-Time
Job Title: AI/ML Architect
Job Summary
We are seeking an experienced AI/ML Architect to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in AI/ML architecture, cloud platforms, MLOps, Generative AI, and scalable data engineering practices. This role will work closely with business stakeholders, data scientists, engineers, and leadership teams to build innovative AI-driven solutions.
Key Responsibilities
- Design and implement end-to-end AI/ML architecture and solutions.
- Lead the development of Machine Learning, Deep Learning, and Generative AI applications.
- Define AI strategy, model lifecycle management, and MLOps best practices.
- Architect scalable data pipelines and model deployment frameworks.
- Build and optimize AI solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Develop and deploy LLM-based applications using OpenAI, Azure OpenAI, Claude, Llama, or similar models.
- Establish model governance, security, monitoring, and compliance standards.
- Collaborate with data science teams to productionize ML models.
- Evaluate emerging AI technologies and provide technical leadership for adoption.
- Mentor engineering teams and drive architecture reviews.
Required Skills
- 10+ years of IT experience with 5+ years in AI/ML architecture.
- Strong experience with Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Expertise in Generative AI, Large Language Models (LLMs), RAG, Prompt Engineering, and Vector Databases.
- Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
- Experience with cloud platforms: AWS, Azure, or Google Cloud Platform.
- Strong knowledge of data engineering, data lakes, and distributed computing.
- Experience with Docker, Kubernetes, CI/CD pipelines, and microservices architecture.
- Knowledge of NLP, Computer Vision, Deep Learning, and Predictive Analytics.
- Excellent communication and leadership skills.
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