Artificial Intelligence/Machine Learning Engineer

1 week ago

Austin, United States Hireblazer Full time
Job DescriptionJob Description

Role: Artificial Intelligence/Machine Learning Engineer

Location: Austin, TX (Candidates must be local as the expectation is for the to come into the office two days a week.)

Duration: 12 Months

Job Overview

We are seeking a talented and innovative AI / Machine Learning Engineer to join our team. As part of the AI Technical Team, you will design, build, and deploy advanced machine learning models and AI solutions to solve real-world problems. You will work with large datasets, AI/ML frameworks, and cross-functional teams to deliver impactful results that align with our business goals.

If you are passionate about machine learning, artificial intelligence, and creating high-performance models, we’d love to hear from you.

Key Responsibilities

• Model Development and Design: Develop, test, and optimize machine learning models for classification, regression, clustering, or recommendation tasks.

• Data Preparation: work alongside the Enterprise Data Management Team to collect, clean, preprocess, and analyze large datasets to create high-quality training datasets.

• Algorithm Implementation: Implement machine learning algorithms and neural networks using frameworks like TensorFlow, PyTorch, and scikit-learn.

• Deployment and Integration: Deploy trained models into production environments using APIs, containers (e.g., Docker), or cloud services (AWS, GCP, or Azure).

• Performance Monitoring: Monitor model performance, detect drift, and implement improvements or retraining strategies to ensure models remain accurate over time.

• Collaboration: Work closely with our data management team, applications team, enterprise architects, and product managers to align solutions with business needs.

• Documentation: Create thorough documentation for models, processes, and experiments to ensure reproducibility and scalability.

• MLOps Practices: Develop automated pipelines for continuous integration, delivery, and model retraining (CI/CD).

• Ethics and Compliance: Ensure AI models comply with industry regulations, address biases, and adhere to ethical standards.

Required Skills & Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.

• Programming Skills: Proficiency in Python, R, or similar programming languages.

• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Keras, or scikit-learn.

• Data Handling: Strong understanding of SQL, NoSQL, and big data tools (e.g., Spark, Hadoop).

• Cloud Platforms: Familiarity with AWS, Google Cloud, or Microsoft Azure for deploying ML models.

• Model Evaluation: Expertise in using metrics like accuracy, precision, recall, RMSE, or AUC-ROC for performance evaluation.

• Version Control: Experience with GitHub, GitLab, or other version control tools.

• Problem Solving: Strong analytical and problem-solving skills.

• Communication: Ability to explain complex AI/ML concepts to non-technical stakeholders.

Preferred Skills

• Knowledge of MLOps frameworks such as Kubeflow or MLflow.

• Experience with natural language processing (NLP), computer vision, or time-series forecasting.

• Familiarity with APIs and microservices (e.g., FastAPI, Flask).

• Background in statistical modeling and probability theory.

• Understanding of bias detection and ethical AI principles.

Understanding Microsoft Co-Pilot and usability monitoring for similar AI tools.

Company DescriptionHireBlazer provides our clients with the very best technical staff. In fact, our motto, “The Best of the Best”, is how every candidate is screened.Company DescriptionHireBlazer provides our clients with the very best technical staff. In fact, our motto, “The Best of the Best”, is how every candidate is screened.

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