Hybrid Senior Infrastructure Engineer (MLOps) Senior Infrastructure Engineer (MLOps)
Workato · Portugal · Hybrid
Hybrid Senior Machine Learning Engineer Senior Machine Learning Engineer with verification
Loka · Portugal · Hybrid
Hybrid Senior Data Engineer | Data Solutions Senior Data Engineer | Data Solutions
Wellhub · Portugal · Hybrid
Hybrid Solutions Architect for Automotive Solutions Architect for Automotive
Canonical · Nigeria · Hybrid
Homeoffice Machine Learning Engineer
Caylent · Argentina · Remote
About the job
We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!
The Mission
At Caylent, a Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference. You will also have a weekly 1:1 with your manager to help guide you in your career and make the most of your time at Caylent.
Your Assignments
- Work with a team to deliver machine learning solutions on AWS for customers
- Participate in and contribute to daily standup meetings
- Develop and implement ML models, MLOps, and analytics
- Big data processing and preparation of training data for models
- At least 3 years of hands on experience in at least a few 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 models using feature definition, activation functions, hyperparameter tuning and other techniques
- Integrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimization
- Monitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOps
- Hands on experience in these data engineering tools/techniques:
- 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
- Excellent written and verbal communication skills
- Pay in USD
- 100% remote work
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications
- Peer bonus awards
- State of the art laptop and tools
- Equipment & Office Stipend
- Individual professional development plan
- Annual stipend for Learning and Development
- Work with an amazing worldwide team and in an incredible corporate culture
We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [email protected].