Senior ML Engineer: Azure AI/ML, MLOps & NLP

Akraya, Inc.; Pleasanton (CA); Hybrid; USD 76,000 - 83,000; Full time

Job summary

Akraya, Inc. seeks an experienced Machine Learning Engineer in Pleasanton, CA for a 6+ month W2 contract. You will design, train, and deploy scalable ML models and data pipelines using Python, SQL, and Azure AI/ML services, with a focus on MLops and DevOps practices.

Responsibilities include building models for predictive analytics, NLP tasks, and deploying production-ready solutions. Hybrid/Remote work supported with PST hours.

Qualifications

• 5+ years of experience developing and deploying ML solutions.
• Strong expertise in supervised and unsupervised learning.
• Hands-on NLP and neural networks experience.
• Proficiency in Python, SQL, and R.
• Experience with Azure AI/ML services and cloud deployment.

Responsibilities

• Design, develop, train, and deploy machine learning models for predictive analytics.
• Build and optimize supervised and unsupervised learning models to solve 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.
• Collaborate with Data Scientists, Data Engineers, and stakeholders to translate requirements.
• Optimize model performance, accuracy, scalability, and reliability through experiments.
• Develop reusable Python libraries, APIs, and automation scripts for ML workflows.
• Implement CI/CD pipelines and DevOps practices for deployment and lifecycle management.

Skills

Machine Learning

Python & SQL

Deep Learning & NLP

Azure AI/ML

MLOps & DevOps

REST APIs

CI/CD pipelines

Docker & Kubernetes

Tools

TensorFlow

Keras

PyTorch

Azure Databricks

Azure OpenAI Services

Docker

Kubernetes

Job description

Akraya, Inc. seeks an experienced Machine Learning Engineer in Pleasanton, CA for a 6+ month W2 contract. You will design, train, and deploy scalable ML models and data pipelines using Python, SQL, and Azure AI/ML services, with a focus on MLops and DevOps practices.

Responsibilities include building models for predictive analytics, NLP tasks, and deploying production-ready solutions. Hybrid/Remote work supported with PST hours.