AI/ML Engineer
Jobs via Dice · Dallas, TX
- Hybrid
- Full-time
- $120,000 / year
- Dallas, TX
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Design, build, and deploy ML solutions.
- Develop scalable data pipelines for large datasets.
- Deploy and monitor ML models in production.
- Optimize algorithms for efficiency.
- Collaborate on integrating AI/ML into applications.
About the role
AI/ML Engineer
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Virtuous Tech Inc, is seeking the following.
We are seeking a talented and driven AI/ML Engineer to join our active pipeline. In this role, you will collaborate with cross-functional engineering and product teams to design, build, and deploy next-generation machine learning solutions that translate complex business data into intelligent applications. If you are an active job seeker passionate about scalable data pipelines, predictive modeling, and cutting-edge AI infrastructure, we want to connect with you.
Core Responsibilities:
- Design, develop, and train custom machine learning models and deep learning architectures.
- Build and maintain scalable data pipelines (ETL) to preprocess large-scale structured and unstructured datasets.
- Deploy ML models into production environments and monitor performance, latency, and predictive accuracy.
- Optimize and fine-tune existing algorithms to improve computational and execution efficiency.
- Collaborate with software engineering teams to integrate AI/ML components seamlessly into core application frameworks.
- Stay updated with the latest advancements in LLMs, computer vision, or NLP technologies to drive continuous innovation.
Required Skills & Technical Toolkit:
- Programming Languages: Strong proficiency in Python, R, or Java, with deep knowledge of OOP principles.
- ML/DL Frameworks: Hands-on experience with frameworks such as PyTorch, TensorFlow, Scikit-Learn, or Keras.
- Data Architecture: Solid understanding of SQL/NoSQL databases, big data frameworks (Spark, Hadoop), and data manipulation libraries (Pandas, NumPy).
- Cloud Infrastructure: Familiarity with deploying ML models on cloud environments (AWS, Azure, or Google Cloud Platform) utilizing tools like SageMaker, Docker, or Kubernetes.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related engineering field.
Key skills/competency:
- AI/ML Engineer
- Machine Learning
- Deep Learning
- Python
- PyTorch
- TensorFlow
- Data Pipelines
- Cloud Infrastructure
- NLP
- Computer Vision
Skills & topics
- AI Engineer
- Machine Learning Engineer
- Deep Learning Engineer
- Python
- PyTorch
- TensorFlow
- Data Pipelines
- ETL
- Cloud Computing
- AWS
- Azure
- GCP
- NLP
- Computer Vision
- LLMs
- Data Science
- Statistics
How to get hired
- Tailor your resume: Highlight Python, ML frameworks (PyTorch, TensorFlow), and cloud experience.
- Showcase projects: Detail your experience with scalable data pipelines and model deployment.
- Prepare for technical questions: Be ready to discuss OOP, big data frameworks, and ML/DL concepts.
- Demonstrate cloud skills: Emphasize experience with AWS, Azure, or GCP for ML deployment.
Technical preparation
Master Python, OOP, and relevant libraries.,Practice with PyTorch, TensorFlow, Scikit-Learn.,Build sample ETL pipelines with Spark/Hadoop.,Deploy models using Docker/Kubernetes on cloud.
Behavioral questions
Describe a complex ML project you led.,How do you handle model performance issues?,Share an example of cross-functional collaboration.,How do you stay updated on AI advancements?
Frequently asked questions
- What are the key technical skills for the AI/ML Engineer role at Virtuous Tech Inc?
- The AI/ML Engineer role at Virtuous Tech Inc requires strong proficiency in Python, R, or Java, hands-on experience with ML/DL frameworks like PyTorch or TensorFlow, solid understanding of data architecture including big data frameworks and SQL/NoSQL databases, and familiarity with cloud deployment on AWS, Azure, or GCP.
- What educational background is typically required for the AI/ML Engineer position?
- Virtuous Tech Inc typically requires a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a closely related engineering field for their AI/ML Engineer roles.
- What are the main responsibilities of an AI/ML Engineer at Virtuous Tech Inc?
- As an AI/ML Engineer at Virtuous Tech Inc, you will be responsible for designing, developing, and training machine learning models, building and maintaining data pipelines, deploying models to production, optimizing algorithms, and collaborating with software engineering teams.
- Does Virtuous Tech Inc emphasize specific ML frameworks for their AI/ML Engineers?
- Yes, Virtuous Tech Inc looks for hands-on experience with popular ML/DL frameworks such as PyTorch, TensorFlow, Scikit-Learn, or Keras for their AI/ML Engineer positions.
- What kind of innovation is Virtuous Tech Inc looking for in their AI/ML Engineers?
- Virtuous Tech Inc seeks AI/ML Engineers who stay updated with the latest advancements in LLMs, computer vision, and NLP technologies to drive continuous innovation within the company's machine learning solutions.