AI/ML Engineer: Build & Deploy Scalable ML Solutions

Winaxis LLC; Dallas (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Winaxis LLC is seeking an AI/ML Engineer to design, develop, and deploy ML/AI solutions that solve real-world business problems. The role emphasizes ML/DL modeling, data pipelines, NLP, CV, and Generative AI with strong focus on deployment and governance.

You will build scalable pipelines, train models, and collaborate with data engineers, software developers, and business stakeholders to deliver AI capabilities at scale.

Qualifications

• Degree in CS/AI/DS/Math/Statistics or related field.
• Strong Python development skills.
• Experience with ML libraries: TF, PyTorch, Scikit-learn, XGBoost.
• Knowledge of ML/DL, NLP, CV, RL concepts.
• Experience with SQL and NoSQL databases.
• Familiarity with Docker, Kubernetes, MLflow, cloud platforms.
• Version control with Git.

Responsibilities

• Design, develop, train, and optimize ML/DL models.
• Build scalable data pipelines for training and inference.
• Develop AI apps using NLP, CV, Generative AI, and predictive analytics.
• Deploy models in production with MLOps practices.
• Work with large datasets, preprocessing, feature engineering, evaluation.
• Collaborate with data engineers, software teams, and stakeholders.
• Monitor models and implement continuous improvements.
• Research emerging AI tech, frameworks, and trends.
• Develop APIs and microservices for AI integration.
• Ensure data security, governance, and compliance.

Skills

Python programming

Machine Learning

Deep Learning

NLP

Computer Vision

Reinforcement Learning

Data processing

SQL

NoSQL databases

Git

Cloud platforms

Education

Bachelor's or Master's in Computer Science / AI / Data Science / Math / Statistics

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

Docker

Kubernetes

MLflow

Apache Spark

LangChain / LlamaIndex / Hugging Face

OpenAI APIs

Job description

Winaxis LLC is seeking an AI/ML Engineer to design, develop, and deploy ML/AI solutions that solve real-world business problems. The role emphasizes ML/DL modeling, data pipelines, NLP, CV, and Generative AI with strong focus on deployment and governance.

You will build scalable pipelines, train models, and collaborate with data engineers, software developers, and business stakeholders to deliver AI capabilities at scale.