- Understand business requirements and objectives;
- Apply automation process concepts, from functionality to design to build and test automated processes;
- Design and provision a cloud solution architecture, considering reliability, scalability and security compliance;
- Develop, debug and deploy a recommendation system trained over textual data;
- Build, test, deploy and performance monitor ML powered applications;
- Use data to answer questions from business experts;
- Python development, beyond jupyter notebook, including module development;
- Background in machine learning frameworks such as scikit-learn, TensorFlow, Keras;
- Linux proficiency or equivalent cloud computing experience;
- SQL, Pandas, data wrangling and extraction;
- Experience deploying models;
- STEM Bachelor (Computer Science, Information Systems, Statistics, etc.);
- Experience implementing APIs with FastAPI or equivalent;
- Contact with MLFlow or equivalent;
- Adept at technology integration and quickly gaining exposure to new platforms;
- Experience working in an Agile environment (Jira) and GIT (Bitbucket);
- Experience working with LLM's.
- Experience with GCP products, specially Cloud run and BigQuery;
- Knowledge of Salesforce or other CRM systems;
- Kedro framework for pipeline orchestration;
- Apache Airflow for data pipeline/ETL;
- OpenAI;
- Familiarity with NLP libraries such as NLTK, SpaCY and Gensim.
Machine Learning Engineer - São Paulo, Brasil - K2 Partnering Solutions
Descrição
Machine Learning Engineer
About the Team:
Digital Transformation is all about Data Transformation and K2 is no different. Our Global Data Solutions team works fully remote and is formed by associates with diverse backgrounds and skills but share a common mindset for analysis and problem-solving and strong work ethic of getting things done We are at the forefront of key initiatives to provide insights through analytics tools and automation via custom Machine Learning solutions that look to enhance day to day operations to a 10X level of efficiency.
As part of an established IT team, the Machine Learning Engineer will be responsible for designing and implementing self-running software to automate predictive models which aim to use its results to carry on future operations with an incremented amount of accuracy.
We are looking for an experienced Machine Learning Engineer to join us. The successful candidate will be responsible for the analysis, implementation and automation of key business processes.
Responsibilities
Requirements & Skills
Desired Skills
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This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.
K2 Partnering Solutions is an equal employment opportunity/affirmative action employer. We do not discriminate on the basis of an individuals actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws. Our team is dedicated to this policy with respect to all terms and conditions of employment, including recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs, and general treatment during employment.