Machine Learning Engineer

2 meses atrás


São Paulo, São Paulo, Brasil KR Elixir, Inc. - IT Services & Solutions Tempo inteiro

About KR Elixir, Inc. - IT Services & Solutions

We are a Next Gen IT Services Company headquartered in the USA, specializing in Data Solutions and enhancing client experiences. Our core objectives are to deliver Business and IT Solutions that exemplify quality, efficiency, and budget-consciousness.

Our expertise extends to managing solutions related to Data Governance, Data Analytics, Big Data, and Cloud. Since our inception, data has been our forte, and we have perfected the delivery of applications that support data needs.

In addition to data solutions, we develop impactful digital solutions for mobile and web applications, consistently providing unmatched results. We understand the evolving needs of scaling businesses and deliver optimal ERP and CRM solutions to facilitate their growth. As a global company, we proudly serve clients across the USA, India & Brazil.

The Role

As a Machine Learning Engineer, you will lead iterative development, validation, and deployment of AI/ML models. You will work closely with ML scientists to find and solve engineering pain-points by building scalable, general-use platforms.

  • Develop and deploy AI/ML models to drive business growth and improve operational efficiency.
  • Collaborate with cross-functional stakeholders to define a long-term vision for scaling ML/AI applications in production.
  • Provide technical mentorship to junior engineers and act as a technical leader for the ML engineering domain.
  • Design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights.
  • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization.
  • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset.
  • Develop reusable code aimed at delivering on future goals faster and more reliably.
  • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices, and emerging tools/technology.

Ideal Profile

  • A minimum of 4+ years in the Data space as an analyst, engineer, scientist, or equivalent.
  • 4+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (GCP, BigQuery, BigTable preferred).
  • Expert Java, Python, SQL, and Advanced GCP (especially Gemini/Vertex AI).
  • Highly skilled with distributed processing architecture and ML/Data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLFlow, etc).
  • Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and Optimization.

What's on Offer?

  • Work within a company with a solid track record of success.
  • Excellent career development opportunities.
  • Opportunity to make a positive impact.

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