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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI/Machine Learning Engineer - **Company:** Metanlytics Llc - **Location:** Fort Worth, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Engineering, Continuous Integration, Monitoring of Systems, Python (Programming Language), Machine Learning, Microsoft Dynamics, Performance Tuning, Standard Sql, Azure Machine Learning, SQL Databases, Feature Engineering, Large Language Models, Prompt Engineering, Generative AI, Modularization, Information Technology, Machine Learning Operations, Data Pipelines, Databricks - **Published:** August 6, 2026 - **Apply:** https://www.dice.com/job-detail/375bade8-5259-4d4d-a343-714d88206182 ## About the Role Manager is primarily looking for a hands-on Senior AI/ML Engineer with strong Generative AI development experience, not just a data scientist or Python developer. Look for someone with: * 5 to 7+ years of AI/ML engineering experience * Expert-level Python (3-4+ Years) * Hands-on Generative AI development (RAG, LLMs, LangChain, Azure OpenAI) * Production ML deployment and MLOps experience * Azure ML and Databricks experience * Strong SQL and cloud engineering skills Location: Dallas/Fort Worth, TX (Locals, F2F interview) Top 3 Mandatory Skills and Experience: -Proficient in Python -Experience/knowledge on designing and implementing Gen AI applications- Hands-on experience with Machine Learning and AI pipeline build, model deployment, orchestration, monitoring, and optimization, Master or PhD degree with 5+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.) Python proficiency (production-grade coding, modularization, testing, performance tuning) Hands on experience with building Gen AI applications - prompt engineering, classifiers, knowledge bases, RAG solutions, LLMs as judges, etc. Hands-on experience with ML/AI pipeline development and productionization (model deployment, orchestration, monitoring, and optimization) Depth of knowledge in statistical and machine learning techniques Preferred qualifications - Education & Prior Job Experience Experience with Azure ML, Databricks Proficiency in SQL and working with data Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring) Practical experience designing, building and deploying machine learning models Domain knowledge in the airline industry Experience working in a consulting role Skills, Licenses & Certifications Ability to effectively communicate both verbally and written with all levels within the organization Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving Ability to view data from different angles to employ feature engineering techniques to better represent models Ability to work on a diverse team with diverse skillsets 5-7 years of experience required Nice to Have Skills: - Microsoft Dynamics - Prompt Engineering - Proficiency in SQL and working with data -Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring) ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)