AI Optimization Engineer

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profile Job Location:

Jersey, NJ - USA

profile Monthly Salary: Not Disclosed
Posted on: 1 hour ago
Vacancies: 1 Vacancy

Job Summary

MatchPoint Solutions is a fast-growing young energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ireland UK Brazil and India. Through our culture of innovation we inspire build and deliver business results from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position please send over your updated resume. We look forward to hearing from you!

AI Optimization Engineer

Jersey CityNJ

6 Months

$80 - $90/hr on W2

Qualifications

  1. Proficiency in languages such as Python with experience in libraries like NumPy and scikit-learn.
  2. Knowledge of various machine learning algorithms including supervised and unsupervised learning neural networks decision trees clustering and dimensionality reduction.
  3. Experience with deep learning frameworks such as TensorFlow PyTorch or Keras and knowledge of their architectures and APIs.
  4. Proficient with SLURM workload manager with REST and Flask APIs for automated and secure job scheduling.
  5. Experienced in scalable infrastructure for deploying and managing large language models (LLMs)
  6. HPC engineer with hands-on experience designing and managing GPU-accelerated clusters for large-scale AI/ML workloads.
  7. Experience with deploying machine learning models in production environments including containerization microservices and API design.
  8. Leveraging Prometheus and Grafana to collect and analyze metrics identify performance issues and implement fixes. Experience creating Slurm and Triton metrics will be a plus.
  9. Familiarity with Triton Inference Server including its architecture configuration and deployment.
  10. Knowledge of model optimization techniques including pruning quantization and knowledge distillation.
  11. Exploratory Data Analysis - Plotly Seaborn matplotlib
  12. Deep Learning Neural Networks Decision Trees Ensemble Methods Gradient Boosting Support Vector Machines Random Forest Logistic Regression Transfer learning Transformer based models BART Hyperparameter Tuning Gen-AI CNN Computer Vision NLP
  13. Tools and Platforms like - Docker Kubernetes Jupyter MLFlow Github Terraform Jenkins HuggingFace
  14. Flask API Development and Security
  15. Container Runtimes: Enroot Pyxis Podman
  16. Linux (RHEL/CentOS) System Administration
  17. Model Optimization techniques using Triton with TRTLLM
Desired Qualifications:
  1. Experience with data cleaning feature scaling and normalization
  2. Programming skills creating UI/UX using the Angular framework HTML CSS and JavaScript
  3. Creating vector embeddings
  4. Tools and Platforms like - AWS (SageMaker Lambda EC2)
  5. Database Technologies Oracle MS-SQL MongoDB Redis and MySQL
  6. SQL and PL/SQL Scripting

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

MatchPoint Solutions is a fast-growing young energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada...
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