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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** MOEV Inc. - **Location:** Los Angeles, CA, United States - **Experience:** Experienced - **Salary:** $82,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** HTML, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Apple IOS, Computer Programming, Data Transformation, Data Structures, Data Visualization, Relational Databases, Software Debugging, Mobile Application Software, Python (Programming Language), Machine Learning, Tensorflow, Software Construction, Software Deployment, Software Engineering, SQL Databases, Data Streaming, Data Logging, Feature Engineering, Data Ingestion, Pytorch, Backend, Keras, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Optimization Algorithms, Deployment Automation, Xgboost, Real Time Data, Apache Kafka, Feature Selection, Web Technologies, Machine Learning Operations, Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Docker - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=33470d4830492356 ## About the Role Do you have experience in Software engineering?, Do you have a Bachelor's degree?, * Master's degree or higher in Computer Science, Data Science, Mathematics, Engineering, or a related field, or equivalent practical experience is highly preferred. A Bachelor's degree is required as a minimum. Technical Experience (3+ Years Required): * 3+ years of professional software development experience with strong proficiency in Python; familiarity with R is a plus. * Proven hands-on industry experience deploying, scaling, monitoring, and maintaining production ML models on AWS infrastructure. * Strong experience building scalable, end-to-end AI/ML data pipelines, including data ingestion, preprocessing, automated feature engineering, and feature selection for real-world AI systems. * Experience deploying machine learning and deep learning models into production using frameworks such as PyTorch, TensorFlow/Keras, Scikit-learn, or XGBoost. * Experience with MLOps workflows, CI/CD pipelines, model lifecycle management, and automated deployment processes. * Strong AWS experience with services such as SageMaker, Lambda, ECS/ECR, EC2, API Gateway, S3, CloudWatch, and SQS, as well as Docker containerization. * Experience building scalable backend APIs and real-time ML inference services. * Experience with monitoring, logging, debugging, and optimizing production ML systems. * Experience working with relational databases and writing efficient SQL queries. * Strong knowledge of data structures, algorithms, and software engineering best practices. * Experience with exploratory data analysis (EDA), model interpretation, data visualization, and production analytics. * Knowledge of optimization techniques using classical methods as well as AI and machine learning algorithms within software development workflows. * Experience supporting production systems serving real customers or operational environments. Soft Skills and Team Collaboration: * Ability to work effectively in a small, fast-moving, cross-functional startup environment. * Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. * Willingness to collaborate closely with product managers, backend engineers, and operations teams. * Comfortable taking ownership of systems and driving projects from concept through production deployment and ongoing maintenance. * Proactive in sharing knowledge, giving and receiving feedback, and contributing to team learning. * Adaptable and eager to learn in a rapidly evolving startup environment. * Ability to interact professionally with customers as needed. Preferred Qualifications: * Experience with Kubernetes/EKS and infrastructure-as-code tools such as Terraform. * Experience with streaming or real-time data systems such as Kafka or AWS Kinesis. * Experience with telematics, transportation, energy systems, electric vehicles (EV), or IoT data. * Experience with time-series forecasting and predictive analytics. * Familiarity with ML monitoring and observability tools. * Familiarity with web technologies such as HTML, JavaScript, and related frameworks. * Experience developing mobile applications for iOS and Android platforms., * Bachelor's (Required), * AL/ML Programming: 2 years (Required) ## Related Videos - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)