Brooksource

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 6-12 month contract, with a pay rate of "unknown," preferably remote from Dallas or Austin, TX. Requires 6+ years in AI/ML, strong Python/SQL skills, and cloud experience (AWS, Azure).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#Deep Learning #Docker #Data Science #Kafka (Apache Kafka) #Cloud #NLP (Natural Language Processing) #Hugging Face #Automation #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Langchain #Data Governance #AI (Artificial Intelligence) #Computer Science #REST (Representational State Transfer) #Python #AWS (Amazon Web Services) #Data Processing #Security #SQL (Structured Query Language) #Leadership #Statistics #Kubernetes #Apache Spark #Compliance #Reinforcement Learning #GCP (Google Cloud Platform) #REST API #Calculus #Distributed Computing #Data Engineering #Transformers #Data Pipeline #Azure #PyTorch #Microservices #Deployment #Scala #Databricks #Spark (Apache Spark)
Role description
Artificial Intelligence/Machine Learning Engineer 6-12 Month Contract with Potential for Full‑Time Conversion Remote/Hybrid Remote preferred locations Dallas, TX & Austin, TX Brooksource is seeking a highly skilled Machine Learning Engineer to support a Fortune 15 health services organization within their advanced analytics and AI division. As an AI/Machine Learning Engineer, you will play a critical role in designing, developing, and deploying AI/ML solutions that drive automation and measurable business value across multiple pharmacy business units. This team operates as a shared‑service AI group focused on identifying high‑impact use cases and building enterprise‑grade solutions leveraging LLMs, RAG pipelines, traditional machine learning models, and advanced unstructured data processing. You will collaborate closely with data engineering, architecture, and product teams to build scalable pipelines in Databricks, optimize AI systems, and deploy models into AWS and OpenShift production environments. This role is ideal for an engineer who thrives at the intersection of data, AI, and cloud technologies and is passionate about delivering reliable, production‑ready machine learning solutions that support automation at scale. Responsibilities: • Lead the development, training, and optimization of machine learning and deep learning models. • Design and implement scalable, reliable data pipelines to support AI/ML workloads. • Integrate AI systems with enterprise applications, cloud platforms, and microservices architectures. • Develop and maintain high‑performance AI algorithms, ensuring efficiency, scalability, and robustness. • Collaborate with cross‑functional teams to drive data‑driven decision‑making and align analytics initiatives with business goals. • Plan, execute, and lead analytics and AI projects from concept through deployment. • Present technical findings and model insights to stakeholders, translating complex results into actionable recommendations. • Ensure compliance with data governance, security, and regulatory standards across all modeling activities. • Mentor junior data scientists and engineers, promoting best practices in AI/ML development and MLOps. Required Skills: • 6+ years of experience developing and deploying machine learning or AI solutions in a professional environment. • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred). • Hands‑on experience building AI‑driven chatbots, RAG pipelines, and AI agents using frameworks such as LangChain. • Advanced proficiency in Python and SQL for data science and model development. • Strong understanding of supervised, unsupervised, and reinforcement learning techniques. • Expertise in deep learning architectures (CNNs, RNNs, Transformers) and modern NLP methods. • Experience designing scalable AI systems, including microservices, REST APIs, and distributed model serving. • Proficiency with cloud platforms such as AWS, Azure, GCP, and Databricks. • Knowledge of MLOps best practices, including CI/CD, containerization (Docker, Kubernetes), and secure access provisioning. • Strong communication skills with the ability to convey technical insights to both technical and non‑technical audiences. Preferred Qualifications: • Strong foundation in statistics, probability, linear algebra, and calculus. • Experience with distributed computing frameworks such as Apache Spark. • Familiarity with advanced AI tools and platforms including PyTorch, Hugging Face, and Kafka. • Demonstrated leadership in driving AI/ML initiatives within a business environment. • System design expertise with a focus on scalability, reliability, and performance in AI deployments. HOW TO APPLY Interested candidates can apply directly through this posting with a single click. A Brooksource recruiter will follow up to discuss the opportunity and next steps. ABOUT US At Brooksource, relationships are the foundation of everything we do. Since 2000, we’ve built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement. As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. We offer flexible hiring models and are a certified partner of leading platforms, including Salesforce, AWS, Microsoft, and Google Cloud, enabling us to deliver scalable, end-to-end technology solutions. EEO STATEMENT Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. PAY DISCLAIMER The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.