Machine Learning Engineer

Indotronix International Corporation • Pleasanton, CA

1d • Remote

About The Position

Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications.

Requirements

• Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms
• Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models)
• Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling
• Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization
• Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production
• Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support

Nice To Haves

• Experience with Azure Databricks, Azure Functions, and Azure Pipelines
• Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments
• Strong feature engineering and ML pipeline automation skills

Responsibilities

• Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges
• Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring
• Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models
• Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments
• Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions
• Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations

Benefits

• 100% remote work—collaborate with a diverse team from anywhere within PST hours
• Opportunity for contract extension and career progression on impactful enterprise AI projects
• Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed