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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** AITA Consulting Services Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Program Optimization, Continuous Integration, Data Cleansing, Software Debugging, Monitoring of Systems, Python (Programming Language), Machine Learning, Microsoft Dynamics, Performance Tuning, Azure Machine Learning, SQL Databases, Systems Integration, Feature Engineering, Large Language Models, Prompt Engineering, Modularization, Information Technology, Machine Learning Operations, Virtual Agents, Data Pipelines, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/a8149199-05e7-48fc-8d52-edd18f57552d ## About the Role * 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. * Experience in Operational research environment is mandatory. 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), * 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 * 7 years of experience required Describe a great candidate that you are looking for and what skills and experience they will have: * Has experience with LLMs and Agentic AI * Has experience building customer facing Gen AI applications; awareness on guardrails, privacy, cybersecurity concerns * Has proven experience taking ML models from prototype to production with Python and Azure ML; containerize where needed. * Demonstrated strong skills in code optimization, debugging, and system integration. * Understands end-to-end ML lifecycle, including deployment and monitoring. * Is comfortable working with existing codebases and improving them, as well as building new ones from scratch. Clear communication and effective collaboration. ## Description * ML/AI team supporting Contact Centers and Digital Customer Experience * Will collaborate with several team members * Collaborative, supportive, and high-performing culture * Strong focus on quality, innovation, scalability, and measurable revenue impact How will the resource fit into your team?: * The resource will be embedded within the team and support the Service Recovery Modernization initiative. * Take ownership of data preparation, data pipelines, design, test, and deployment of ML and Gen AI applications. * Collaborate closely with data scientists, data engineers, and product partners. * Accelerate delivery of scalable, production-ready AI solutions. ## 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) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [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) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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