AI Developer

VAMS Technologies; Lewisville (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Performance incentives

Cutting-edge AI projects

Professional development

Flexible work arrangements

Job summary

VAMS Technologies is seeking a skilled AI/ML engineer with a strong foundation in Python, R, and Java. The role emphasizes hands-on work with TensorFlow, PyTorch, Keras, and Scikit‑learn to build NLP, computer vision, and deep learning solutions.

Candidates should understand ML algorithms, cloud deployment, and MLOps. Remote or hybrid collaboration is supported, with opportunities to contribute to cutting-edge AI projects and professional development.

Qualifications

• Bachelor's or Master's in a related field.
• Proficiency in Python, R, or Java.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, Scikit‑learn.
• Good understanding of ML algorithms, NLP, CV, and deep learning techniques.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiarity with databases, APIs, and version control systems (Git).
• Excellent problem‑solving, analytical, and communication skills.

Skills

Python

R

Java

NLP

Computer Vision

Deep Learning

MLOps

Cloud Platforms

Data Structures

Git

Communication

Education

Bachelor's or Master's degree in Computer Science, AI, DS

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

AWS

Azure

GCP

Job description

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong proficiency in programming languages such as Python, R, or Java.
• Hands‑on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, Scikit‑learn.
• Good understanding of machine learning algorithms, NLP, computer vision, and deep learning techniques.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiarity with databases, APIs, and version control systems (Git).
• Excellent problem‑solving, analytical, and communication skills.

Preferred Qualifications

• Experience with LLMs (Large Language Models) and generative AI.
• Exposure to big data technologies (Spark, Hadoop).
• Knowledge of DevOps/MLOps for AI deployment.
• Previous work on real‑time AI applications (chatbots, recommendation engines, predictive analytics).

What We Offer

• Competitive salary and performance‑based incentives.
• Opportunities to work on cutting‑edge AI projects.
• Collaborative and innovative work environment.
• Professional development, training, and certifications.
• Flexible work arrangements (remote/hybrid).