2 ΠΌΠ΅ΡΡΡΠ° Π½Π°Π·Π°Π΄
Lead Machine Learning Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Lead Machine Learning Engineer (AI/ML): Designing, developing, and deploying machine learning models, data pipelines, and monitoring systems for complex business and customer challenges with an accent on scalable data operations, model performance, and production integration. Focus on training and evaluating deep learning and NLP models, automating deployment with DevOps teams, and advancing AI/ML applications in distributed computing environments.
Location: Porto Alegre, Rio Grande do Sul, Brazil
Company
develops software and technology solutions for business and customer needs.
What you will do
- Design, develop, deploy, and manage the lifecycle of machine learning models.
- Build robust data pipelines and monitoring systems in distributed computing environments.
- Define data collection protocols, analyze data sources, and create visualizations of data and model performance.
- Develop, train, evaluate, validate, and optimize machine learning models and scalable data processes.
- Translate business and analytics requirements into machine learning solutions and communicate delivery of AI/ML capabilities.
- Collaborate with DevOps teams to integrate models into production and automate deployment processes.
Requirements
- Typically 7β10 years of experience in programming, machine learning, algorithms, statistical methods, or a related field.
- Four-year or graduate degree in Computer Science, Statistics, Mathematics, Data Science, or a related discipline, or equivalent demonstrated competence.
- Experience with machine learning, artificial intelligence, deep learning, data science, and software engineering.
- Knowledge of Python, Java, C++, Apache Spark, PyTorch, Scikit-learn, and TensorFlow.
- Knowledge of AWS, Microsoft Azure, big data, automation, and Agile methodology.
- Ability to work on complex problems and lead or provide expertise to functional project teams.
Nice to have
- AWS Certified Machine Learning Specialty certification.
- Experience with natural language processing.
Culture & Benefits
- Full-time employment.
- Cross-functional collaboration with business, analytics, and DevOps teams.
- Opportunities to participate in research involving artificial intelligence and machine learning applications.
- Equal employment opportunity for employees and applicants.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β