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SENIOR MACHINE LEARNING ENGINEER - job post

Svitla Systems
3 evaluaciones
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Descripción completa del empleo

Svitla Systems Inc. is looking for a Senior Machine Learning Engineer for a full-time position (40 hours per week) in Argentina. Our client is a web-based software company that provides business development products and services to the hospitality industry. They help hotels, CVBs, and other venues drive revenue by meeting market intelligence. Powered by the industry’s largest source of historical data on actualized meetings and events, clients’ products enable time-saving tactics for booking better-qualified group business, competitive benchmarking, portfolio revenue-growth strategies, market share gains, increased RevPAR, and group trend forecasting. As a globally recognized meeting and group data provider, they offer extensive insight into market analytics, group industry trends, and robust benchmarking. The technology gives hoteliers the tools to define market potential, target the most profitable group opportunities, increase market share, identify and develop new customers, and gain insight into group characteristics and booking patterns.
Requirements:
  • At least 5 years of hands-on experience in most of these ML tools/techniques:
  • Building ML models with SageMaker or a similar service;
  • Building ML models in frameworks like TensorFlow & PyTorch and deploying them in SageMaker;
  • Training and deploying AWS pre-trained AI services and foundational models;
  • Usage Elasticsearch power search functionality and provide insights from large datasets;
  • Integrating ML models into real-time applications and batching workflows recommends better infrastructure design and optimization;
  • Monitoring, evaluating, and continuously improving model performance and automating these tasks using one or more tools for MLOps.
  • Hands-on experience with these data engineering tools/techniques:
  • Data integration, cleansing, transformation, and visualization using Python packages, SQL, etc.;
  • AWS services include Glue, EMR, Athena, DynamoDB, Step Functions, EKS, etc.
Responsibilities:
  • Work with a team to deliver machine learning solutions on AWS for customers.
  • Decompose business goals into architecture and sprint-level tasks.
  • Lead engineers in building solutions.
  • Participate in daily standup meetings and address technical issues.
  • Design and document ML models, MLOps, and analytics.
  • Provide big data processing and preparation of training data for models.
Will be a plus:
  • Knowledge of an IaC tool such as CloudFormation, CDK, or Terraform.
We Offer:
  • US and EU projects based on advanced technologies.
  • Competitive compensation based on skills and experience.
  • Annual performance appraisals.
  • Remote-friendly culture and no micromanagement.
  • Bonuses for recommendations of new employees.
  • Bonuses for article writing, public talks, other activities.
  • 15 vacation days, 10 national holidays, sick leaves.
  • Udemy unlimited training account.
  • Free webinars, meetups and conferences organized by Svitla.
  • Fun corporate celebrations and activities.
  • Awesome team, friendly and supportive community!
About Svitla:

Svitla Systems is a global trusted IT solutions company headquartered in California, with business and development offices throughout the US, Latin America, Europe, and Asia. Svitla is an outspoken advocate of workplace flexibility, best known for its well-established remote culture, individual approach to our teammate’s professional and personal growth, and family-like environment.

Since 2003, Svitla has served a wide range of clients, from innovative start-ups in California to mega-large corporations such as Ingenico, Amplience, InvoiceASAP and Global Citizen. At Svitla, developers work with clients’ teams directly, building lasting and successful partnerships, as a result of seamless integration with on-site processes.

Svitla Systems’ global mission is to build a business that contributes to the well-being of our partners, personnel and their families, improves our communities, and makes a lasting difference in the world. Join us!
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If you are interested in our vacancy, please send your CV. We will be happy to see you in our friendly team :)

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