Remote Machine Learning Engineer

Description:

• Oowlish is seeking a Machine Learning Engineer to join their team in Greater Porto Alegre, with the option for remote work.
• The company is rapidly expanding and focuses on software development, collaborating with clients from the United States and Europe.
• Employees will contribute to pioneering digital solutions and have opportunities for professional development and growth.
• Oowlish is recognized as a Great Place to Work, emphasizing a nurturing work environment.
• The position allows for a flexible work-life balance tailored to personal and professional needs.
• Candidates should be passionate about technology, proficient in English, and excited about remote collaboration.

Requirements:

• Candidates must have at least 3 years of hands-on experience with various machine learning tools and techniques.
• Experience in building ML models in SageMaker is required.
• Proficiency in frameworks like TensorFlow and PyTorch, and deploying models in SageMaker is necessary.
• Candidates should have experience training and deploying AWS pre-trained AI Services and Foundational Models.
• Skills in building and optimizing models using feature definition, activation functions, hyperparameter tuning, and other techniques are essential.
• Experience integrating ML models into real-time applications and batch workflows, as well as recommending better infrastructure design and optimization, is required.
• Candidates must monitor, evaluate, and continuously improve model performance, automating these tasks using MLOps tools.
• Hands-on experience with data engineering tools and techniques, including data integration, cleansing, transformation, and visualization using Python packages and SQL, is necessary.
• Familiarity with AWS services such as Glue, EMR, Athena, DynamoDB, Step Functions, and EKS is required.
• Experience with an Infrastructure as Code (IaC) tool such as CloudFormation, CDK, or Terraform is necessary.
• Excellent written and verbal communication skills are essential.

Benefits:

• The position offers a home office setup and flexible working hours.
• Competitive compensation is provided based on experience.
• Career plans are available to allow for extensive growth within the company.
• Employees will have the opportunity to work on international projects.
• Oowlish provides an English program for both technical and conversational skills.
• Fitness benefits are available through Total Pass.
• An internet allowance is provided under the "Connecting You" initiative.
• Employees receive various bonuses, including an anniversary bonus, wedding gift, pet adoption incentive, new baby Oowl bonus, back-to-school bonus, and a streaming subscription.
• A PTO bonus is offered, along with games and competitions.
• Employees can enjoy their national holidays.