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.