Machine Learning Engineer

Optimoz is a complete cloud and IT engineering company that enables enterprises and federal agencies to accelerate development and delivery of applications that engage customers and drive revenue. Optimoz specializes in all aspects of Cloud Computing DevSecOps Continuous Integration/Continuous Delivery and Application Development leveraging on the microservices and API architecture. Our mission is simple Empower customers to increase their delivery capabilities with the effective and efficient use of the technology.

Learn more about Optimoz and our team

Our team here at Optimoz is searching for a Machine Learning Engineer to join our team! As a Machine Learning Engineer you will be working on internal application development projects and assisting our clients with their AI and ML needs. By joining Optimoz you will have the opportunity to work in a dynamic and innovative environment collaborating with top talent in the industry. We offer competitive compensation comprehensive benefits and supportive work culture that encourages growth and professional development.

Responsibilities:

• Develop and deploy machine learning models independently.
  
• Optimize and finetune existing machine learning algorithms for improved performance.
  
• Collaborate with data scientists and business analysts to understand and define project
  
• requirements.
  
• Take a lead role in data collection feature engineering and data preprocessing.
  
• Participate in code reviews mentor entrylevel engineers and assist in their skill
  
• development.
  
• Participate in model evaluation validation and performance monitoring.
  

• Bachelors or Masters degree in Computer Science Data Science or related field.
  
• 2 to 5 years of applied Machine Learning experience
  
• Programming experience with Python Flask and SQL.
  
• Proficiency in machine learning libraries (e.g. HuggingFace PyTorch scikitlearn).
  
• Experience and extensive knowledge w/ Artificial Intelligence Machine Learning (AIML) and Large Language Model (LLM)
• Experience/knowledge/interest in Generative AI technologies such as LangChain and Vector DBs.
  
• Proven experience in developing and deploying machine learning models.
  
• Strong programming skills in Python and knowledge of software engineering best practices.
  
• Experience with data engineering and data pipelines.
  
• Good understanding of model evaluation and optimization techniques.