Machine Learning Engineer
5 godzin temu
Lingaro is a certified Great Place to Work and has been on the market since 2008. With over 1500 talents across 7 global sites, we offer a diverse and inclusive community where you can grow as we grow.
Job Description
We are seeking an experienced Machine Learning Engineer to join our team. As a key member of our Data Science team, you will be responsible for designing and implementing high-performing, scalable, enterprise-grade ML/AI applications in cloud environments. You will work closely with our Data Science teams to implement machine learning and statistical models into production, focusing on innovative implementations of ML/AI automation for scale and efficiency.
Required Skills and Qualifications
To succeed in this role, you will need:
- At least 5 years of experience in a similar position
- Good understanding of ML/AI concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, and AI architectures
- Practical experience in MLOps tools like MLFlow, Azure ML, and/or Databricks
- Strong experience in at least one of the following domains: Machine Learning, Deep Learning, Data Science, MLOps, GenerativeAI
- Experience in programming ML algorithms and data processing pipelines using Python
- At least 2 years of experience in production-ready code development
- Fluency in written and spoken English
Benefits
As a Lingaro employee, you can expect:
- Comprehensive online onboarding program with a 'Buddy' from day 1
- Unlimited access to the Udemy learning platform from day 1
- Certificate training programs
- Upskilling support
- Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, and 110+ trainings yearly
- Autonomy to choose the way you work and trust your ideas
- Create our community together
- Refer your friends to receive bonuses
- Activities to support your well-being and health
- Plenty of opportunities to donate to charities and support the environment
- Modern office equipment
Others
In addition to these benefits, you can look forward to working on international projects, having a sport subscription, private healthcare, free coffee, and enjoying modern office spaces without dress codes.
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