> Markdown version of [/jobs/ext/535140-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/535140-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Fasttek Global - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, BigQuery, Cloud Computing, Cloud Engineering, Python (Programming Language), Machine Learning, Software Product Management, Systems Development Life Cycle, Tensorflow, Search Technologies, Software Engineering, Google Cloud, Enterprise Software Applications, Feature Engineering, Data Ingestion, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Data Lakes, AI Platforms, Scikit Learn, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Virtual Agents, Restful APIs, Software Version Control, Automation Anywhere, Docker, Programming Languages - **Published:** June 11, 2026 - **Apply:** https://www.fasttek.com/hr_job?adId=435516 ## About the Role * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field * Strong Python programming experience (backend development, APIs, automation) * Experience deploying ML models in production environments * Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch) * Hands-on experience with LLMs, prompt engineering, and Generative AI * Experience working with cloud platforms (GCP and/or AWS) * Strong understanding of SDLC, version control, testing, and deployment practices * Excellent analytical, communication, and problem-solving skills * Ability to work in fast-paced, agile environments Primary Skills: * Python, Machine Learning, Data Science, GCP, BigQuery Experience Requirements: * Engineer Level 3 * 6+ years of IT experience * 4+ years of development experience * Experience with 2 programming languages or advanced proficiency in 1 Preferred Experience: * Agentic AI systems, multi-step workflows, autonomous agents, tool-calling architectures * Frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, etc. * MLOps tools: MLflow, Airflow, Vertex AI, SageMaker, Kubeflow, etc. * Docker and Kubernetes * Vector databases, embeddings, RAG, semantic search * Large-scale enterprise data systems and data lakes * AI system optimization (performance, cost, scalability) * AI product or analytics platform development, * Self-starter with ability to work independently * Strong communicator across technical and non-technical teams * Collaborative and team-oriented * Innovative mindset with strong problem-solving ability * Results-driven and focused on production impact Education: * Bachelor's Degree required Additional Information: * Strong experience required in production-grade AI systems, APIs, and cloud-native Deployments ## Description We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and emerging Agentic AI capabilities to transform business processes and improve operational efficiency. This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable, production-ready AI systems that generate measurable business value. The ideal candidate will have hands-on experience building and operationalizing AI/ML solutions in enterprise environments, with strong expertise in Generative AI, intelligent automation, and cloud-native architectures., * Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions * Build end-to-end AI workflows including data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement * Develop LLM-based applications such as RAG systems, prompt orchestration, agentic workflows, and tool integrations * Create scalable APIs and AI services integrated with enterprise systems * Establish and maintain MLOps pipelines including automated training, deployment, monitoring, and retraining * Ensure AI solutions are scalable, secure, reliable, and production-ready * Collaborate with business and technical stakeholders to translate requirements into AI- driven solutions * Monitor model performance and continuously improve based on feedback and metrics * Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)