GenAI/ML Architect - SkyElia : Job Details

GenAI/ML Architect

SkyElia

Job Location : Pittsburgh,PA, USA

Posted on : 2025-08-05T07:45:42Z

Job Description :
About:
  • Location: Pittsburgh, PA
  • Contract: 6 months
The Role:Role - GenAI/ML Architect Business Vertical: Life Sciences, Health Care, Energy, Resources and Utilities Responsibility:
  • Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency.
  • Guide data scientists and engineers in developing, training, and deploying machine learning models.
  • Define best practices for MLOps, including model versioning, monitoring, and retraining strategies.
  • Develop AI frameworks and reusable components to accelerate AI adoption across the organization.
  • Collaborate with stakeholders to understand business requirements and align AI solutions accordingly.
  • Optimize data pipelines and AI infrastructure to support high-performance model training and inference.
  • Evaluate emerging AI technologies and recommend suitable tools, frameworks, and methodologies.
  • Ensure compliance with AI ethics, governance, and data privacy regulations.
  • Implement microservices architecture to build scalable and resilient software solutions.
  • Use Cloud platforms like AWS, Azure to deploy and run software applications.
Key Skills:
  • Bachelor's degree and 15+ years of relevant experience required.
  • 12+ years of experience in AI/ML engineering, including at least 3 years in an architectural role
  • Extensive experience in AI/ML model development, deployment, and lifecycle management.
  • Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure).
  • Strong programming skills in Python, Java, or C++
  • Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
  • Deep understanding of distributed computing, big data technologies (Spark, Hadoop), and scalable data pipelines.
  • Experience with NLP, deep learning, reinforcement learning, generative AI
  • Experience in AI-driven business transformation and enterprise AI strategies.
  • Familiarity with edge AI, IoT, or real-time AI processing.
  • Knowledge of ethical AI frameworks and responsible AI principles.
  • Strong problem-solving skills and ability to mentor AI/ML teams.
  • Experience in agile development methodologies to deliver solutions and product features.
Apply Now!
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