Machine Learning Engineer : 26-02588

Akraya, Inc. is an IT staffing firm providing talent solutions for technology organizations. The company is seeking an experienced Machine Learning Engineer to design, develop, deploy, and optimize scalable machine learning solutions for enterprise applications using Azure and MLOps best practices.

Responsibilities:

• Design, develop, train, and deploy machine learning models for predictive analytics and intelligent automation
• Build and optimize supervised and unsupervised learning models to solve complex business problems
• Develop deep learning solutions using neural networks and NLP techniques
• Create data pipelines for feature engineering, model training, validation, and inference
• Deploy, monitor, and maintain ML models using Azure cloud services and MLOps best practices
• Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate requirements into scalable AI solutions
• Optimize model performance, accuracy, scalability, and reliability through continuous experimentation and tuning
• Develop reusable Python libraries, APIs, and automation scripts for ML workflows
• Implement CI/CD pipelines and DevOps practices for model deployment, versioning, and lifecycle management
• Document technical designs, model architectures, and deployment processes while following enterprise development standards

Requirements:

• 5+ years of experience developing and deploying Machine Learning solutions
• Strong expertise in Supervised and Unsupervised Machine Learning Algorithms
• Hands-on experience with Neural Networks and Natural Language Processing (NLP)
• Advanced programming skills in Python, SQL, and R
• Experience with machine learning frameworks including TensorFlow, Keras, and PyTorch
• Strong experience with Microsoft Azure AI/ML services and cloud-based model deployment
• Hands-on knowledge of DevOps and MLOps practices, including CI/CD pipelines and model lifecycle management
• Experience with data preprocessing, feature engineering, model evaluation, and hyperparameter tuning
• Strong analytical, problem-solving, and communication skills
• Ability to work independently while collaborating with cross-functional technical teams
• W2 Only
• Pleasanton, CA. Hybrid/Remote (Must Support PST Hours)
• Experience with Azure Machine Learning, Azure Databricks, or Azure OpenAI Services
• Familiarity with containerization technologies such as Docker and Kubernetes
• Experience building REST APIs for ML model serving
• Knowledge of Git, version control, and automated deployment pipelines
• Experience working in Agile/Scrum environments and enterprise AI initiatives