AI Optimization Engineer

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

Onsite - New York NY

6 Months

$70 -$75/hr on W2

Position Overview:

The AI Optimization Engineer will support advanced artificial intelligence and machine learning initiatives with a focus on performance optimization scalable infrastructure and production deployment. This is a six month contract role requiring onsite presence three days per week in Jersey City New Jersey. The role supports enterprise AI and ML workloads including large language models GPU accelerated environments and high performance computing platforms.

Responsibilities:

• Design optimize and deploy machine learning and deep learning models for production environments
• Support scalable infrastructure for large language models and AI workloads
• Design and manage GPU accelerated clusters for large scale AI and machine learning use cases
• Develop and maintain automated and secure job scheduling using SLURM with REST and Flask APIs
• Deploy models using container based and microservice oriented architectures
• Implement model optimization techniques including pruning quantization and knowledge distillation
• Configure and optimize Triton Inference Server including model serving and performance tuning
• Build secure Flask based APIs to support inference and orchestration
• Monitor and analyze system and model performance using Prometheus and Grafana
• Perform exploratory data analysis and visualization to support model development
• Collaborate with cross functional teams supporting computer vision natural language processing and generative AI initiatives

• Proficiency in Python with experience using NumPy and scikit learn
• Strong understanding of machine learning algorithms including supervised and unsupervised learning
• Experience with deep learning frameworks such as TensorFlow PyTorch or Keras
• Hands on experience as an HPC engineer supporting GPU accelerated environments
• Experience deploying machine learning models into production environments
• Knowledge of neural networks ensemble methods gradient boosting and transformer based models
• Experience with hyperparameter tuning transfer learning and generative AI techniques
• Experience with Linux system administration using RHEL or CentOS
• Strong understanding of API development and security best practices
• Experience collecting and analyzing metrics to identify performance issues and implement fixes

• Docker Kubernetes Jupyter MLFlow GitHub Terraform Jenkins Hugging Face
• Triton Inference Server and TRT LLM
• Prometheus and Grafana
• SLURM workload manager
• Enroot Pyxis and Podman container runtimes
• Plotly Seaborn and matplotlib
• Databases including Oracle MS SQL MongoDB Redis and MySQL

• Experience with data cleaning feature scaling and normalization
• Experience creating vector embeddings
• Experience with AWS services including SageMaker Lambda and EC2
• Programming experience creating UI and UX using Angular HTML CSS and JavaScript
• SQL and PL SQL scripting experience

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.