Maveric Systems Limited
AL/ML Engineer- Full Time (Irving)
Maveric Systems Limited, Irving, Texas, United States, 75084
Job Title - AI/ML Engineer
Location - Irving, TX
Job Type- Full Time
Key Responsibilities Model Development:
Design, build, and optimize machine learning models for predictive analytics, classification, recommendation systems, and NLP. Data Processing:
Collect, clean, and preprocess large datasets from various sources for training and evaluation. Deployment:
Implement and deploy ML models into production environments using frameworks like TensorFlow, PyTorch, or Scikit-learn. Performance Monitoring:
Continuously monitor and improve model accuracy, efficiency, and scalability. Collaboration:
Work closely with data engineers, software developers, and product teams to integrate AI solutions into applications. Research & Innovation:
Stay updated with the latest advancements in AI/ML and apply cutting-edge techniques to business challenges. Documentation:
Maintain clear documentation of models, processes, and workflows.
Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, or related field. Strong proficiency in
Python ,
R , or
Java . Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of
data structures ,
algorithms , and
software engineering principles . Experience with
cloud platforms
(AWS, Azure, GCP) and
MLOps tools . Familiarity with
big data technologies
(Spark, Hadoop) is a plus. Excellent problem-solving and analytical skills.
Preferred Qualifications Experience in
Natural Language Processing (NLP) ,
Computer Vision , or
Deep Learning . Understanding of
model interpretability
and
ethical AI practices . Prior experience deploying models in
production environments .
Key Responsibilities Model Development:
Design, build, and optimize machine learning models for predictive analytics, classification, recommendation systems, and NLP. Data Processing:
Collect, clean, and preprocess large datasets from various sources for training and evaluation. Deployment:
Implement and deploy ML models into production environments using frameworks like TensorFlow, PyTorch, or Scikit-learn. Performance Monitoring:
Continuously monitor and improve model accuracy, efficiency, and scalability. Collaboration:
Work closely with data engineers, software developers, and product teams to integrate AI solutions into applications. Research & Innovation:
Stay updated with the latest advancements in AI/ML and apply cutting-edge techniques to business challenges. Documentation:
Maintain clear documentation of models, processes, and workflows.
Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, or related field. Strong proficiency in
Python ,
R , or
Java . Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of
data structures ,
algorithms , and
software engineering principles . Experience with
cloud platforms
(AWS, Azure, GCP) and
MLOps tools . Familiarity with
big data technologies
(Spark, Hadoop) is a plus. Excellent problem-solving and analytical skills.
Preferred Qualifications Experience in
Natural Language Processing (NLP) ,
Computer Vision , or
Deep Learning . Understanding of
model interpretability
and
ethical AI practices . Prior experience deploying models in
production environments .