Machine Learning Engineer

This is a remote position.

Position: Machine Learning Engineer

Location: North America- Remote

Job Type: Full-Time

About the Role:

We are seeking an experienced and highly motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in cloud data technologies, particularly within the AWS ecosystem, and possess the skills necessary to design, implement, and maintain robust ML solutions. At Avahi, we provide solutions for some of the most complex data engineering, machine learning, and artificial intelligence projects. Our mission is to treat people with kindness and deliver exceptional, world-class engineering services

Responsibilities

• Work with our team to deliver machine learning solutions on AWS
  
• Decompose business goals into architecture and Sprint-level tasks
  
• Having had thorough hands on experience, lead engineers in building solutions
  
• Participate in daily standup meetings and address technical issues
  
• Design and document ML models, MLOps, and analytics
  
• Big data processing and preparation of training data for models
  
• Integration with AWS AI/ML services (Comprehend, Rekognition, Transcribe)
  

Requirements

• Excellent verbal and written communication is a minimum requirement
  
• At least 5 years of hands on experience in most of these ML tools/techniques:
  
• Build ML models in SageMaker
  
• Build ML models in frameworks like Tensorflow & PyTorch and deploy in SageMaker
  
• Train and deploy AWS pre-trained AI Services and Foundational Models
  
• Build and optimize ML models
  
• Integrate ML models into real-time applications and batch workflows
  
• Infrastructure design and optimization
  
• Monitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOps
  
• Data integration, cleansing, transformation, and visualization using Python packages, SQL etc.
  
• AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etc
  
• Experience with an IaC tool such as CloudFormation, CDK or Terraform
  

Education:

Bachelor s degree in Computer Science, Engineering, Information Systems, or a related field. Relevant certifications in AWS or cloud technologies are a plus.

Benefits

• Join a dynamic startup environment with a strong emphasis on innovation and collaboration.
  
• Make a meaningful impact on the company's growth and technical direction.
  
• Work with a team of highly skilled professionals who are passionate about technology.
  
• Competitive compensation package, including salary, benefits, and opportunities for career advancement.