Machine Learning Engineer : 26-02124

Akraya, Inc.; Pleasanton (CA); Hybrid; USD 75,768 - 82,656; Full time

Job summary

Akraya, Inc. is seeking an experienced Machine Learning Engineer to design, deploy, and optimize scalable ML solutions for enterprise applications. The role emphasizes Azure cloud platforms, MLops, and end-to-end model lifecycle.

You will collaborate with Data Scientists and Engineers, build data pipelines, and implement CI/CD for model deployment, while ensuring production readiness and measurable performance.

Qualifications

• 5+ years of experience developing and deploying ML solutions.
• Strong expertise in supervised and unsupervised learning.
• Hands-on NLP and neural networks experience.
• Proficient in Python, SQL, and R.
• Experience with TensorFlow, Keras, PyTorch.
• Azure AI/ML services and cloud deployment.
• CI/CD, MLOps, and model lifecycle management.

Responsibilities

• Design, develop, train, and deploy ML 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.

Skills

Machine Learning

Python

SQL

Deep Learning

NLP

Azure AI/ML

MLOps

DevOps

Tools

Docker

Kubernetes

REST APIs

Git

Job description

Primary Skills: Machine Learning (Expert), Python & SQL (Expert), Deep Learning & NLP (Advanced), Azure AI/ML (Advanced), MLOps & DevOps (Advanced) Contract Type: W2 Only Duration: 6+ Months Location: Hybrid/Remote (Must Support PST Hours) Pay Range:$55 - $60 on W2

Job Summary

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and optimize scalable machine learning solutions for enterprise applications. The ideal candidate will have strong expertise in supervised and unsupervised learning, deep learning, natural language processing (NLP), and cloud-based AI platforms, with hands-on experience deploying production-ready ML models using Azure and MLOps best practices.

Key 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.

Must-have Skills

• 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.

Nice-to-have Skills

• 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.

ABOUT AKRAYA

Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in Tech Staffing As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!