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|---|---|---|---|---|---|
Unlimit | Gurgaon, India | $87k - $103k | |||
Ionicpartners | United States | $72k - $90k | |||
Nansen.ai | London, United Kingdom | $126k - $127k | |||
Sahara AI | San Francisco, CA, United States | $32k - $86k | |||
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AKASA | Remote | $175k - $230k | |||
Figure | San Francisco, CA, United States | $63k - $75k | |||
Aptos | Palo Alto, CA, United States | $160k - $260k | |||
Foundry | New York, NY, United States | $100k - $200k | |||
OP3N WORLD | Los Angeles, CA, United States | $21k - $64k | |||
OKX | San Jose, CA, United States | $196k - $280k | |||
Openmesh Network | New York, NY, United States | $91k - $115k | |||
Sec3 | Remote | $72k - $115k | |||
Openmesh | Sydney, Australia | $90k - $150k |
Senior ML Engineer
Responsibilities:
- Develop and train machine learning models using libraries like NLTK, spaCy, Gensim, and TextBlob.
- Optimize data processing processes for improved performance and efficiency.
- Analyze data, including statistical analysis and application of relevant algorithms.
- Work with large volumes of data and have experience with data storage systems.
- Collaborate with backend developers to integrate machine learning models into the chatbot.
- Develop and optimize algorithms to enhance model performance.
- Stay informed about advancements in machine learning and natural language processing.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems with a Machine Learning specialization, or equivalent education.
- Experience with cloud platforms, preferably Google Cloud Platform (GCP) or AWS.
- Solid understanding of databases, including MySQL, NoSQL, and Columnar databases.
- Solid experiences in Python, familiar with data analysis libraries such as pandas, numpy, matplotlib, scikit-learn, etc.
- Experience in working with deep learning frameworks such as Python, Tensorflow for real world problems.
- Knowledge of Computer Science fundamentals such as object-oriented design, graph algorithms, data structures, problem solving and complexity analysis.
- Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.
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.