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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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This job is closed
Senior AI/ML Engineer
The Opportunity
- Design, implement and deploy Machine Learning solutions to solve complex problems and deliver real business value ie. revenue, engagement and customer satisfaction.
- Collaborate with data scientists, software engineers and business partners to identify AI/ML opportunities for improving operation scalability and efficiency.
- Develop production-grade ML models to power personalized customer experience, content recommendation, fraud detection/prevention and more.
- Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation.
- Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Crypto industry.
- Mentor junior engineers, fostering a culture of continuous learning and improvement.
Skills you should HODL
- Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems.
- Thorough understanding of software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
- Strong programming skills in Python, Scala, Go, Rust or other languages.
- Excellent written and verbal communication skills and interpersonal skills.
- Experience with MLOps platforms, such as Kubeflow or MLFlow.
- Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch.
- Experience with Big Data tools – Spark, S3, Athena/Trino.
- Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.
- Advanced degree in Computer Science, Machine Learning or related field.
- A minimum of 5 years experience in AI/ML engineering, with a track record of handling increasingly complex projects.
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.