Назад
Company hidden
2 мСсяца Π½Π°Π·Π°Π΄

Lead Machine Learning Engineer (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior/lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Brazil
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/
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

hirify.global 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 7–10 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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’