Machine Learning is a broad term that encompasses tactics derived from computer science, statistics, and various algorithms. Machine learning occupations are expanding alongside ubiquitous computing, and show no signs of deneme bonusu veren siteler slowing down anytime soon. This is a fantastic professional path with a lot of room for growth in the future. Machine learning scientists, engineers, and others are responsible for collecting, analyzing, and interpreting extremely huge amounts of data and their discoveries in order to solve issues.
The top ten machine learning scientist positions to apply for in the United States are listed in this article.
1. Machine Learning Scientist – Quixy
Responsibilities:
- The machine learning team will be led and mentored by you.
- Machine learning systems should be researched, designed, and framed.
- Understand company goals and use machine learning approaches to address difficulties.
- Choose the right datasets and data representation techniques.
- Test and experiment with machine learning models.
- Using test findings, perform statistical analysis and fine-tuning.
- Extend the capabilities of existing machine learning tools and frameworks.
- Verifying and/or assuring data quality through data cleansing.
- In order to implement/use AI/ML products, collaborate with various stakeholders and product teams.
- Manage the infrastructure and data pipelines required for deploying code.
- Choose the best machine learning algorithms and put them into action.
- For ML model building, choose the correct training Data Sets.
2. Machine Learning Scientist – Turning
Responsibilities:
- Using your fundamental coding skills and machine learning understanding, improve our existing machine learning systems.
- Take charge of machine learning systems from start to finish, including data pipelines, feature engineering, candidate extraction, model training, and integration with our production systems.
- Predict user interactions and their direct influence on the company’s top-line metrics using cutting-edge machine learning modeling techniques.
- To increase targeting and engagement, design features and construct large-scale recommendation systems.
- Identify novel ways to apply Data Science and machine learning to various aspects of our product(s) in order to add value to our customers.
3. ML Scientist – Antal International
Responsibilities:
- The machine learning team will be led and mentored by you.
- Machine learning systems should be researched, designed, and framed.
- Understand company goals and use machine learning approaches to address difficulties.
- Choose the right datasets and data representation techniques.
- Test and experiment with machine learning models.
- Using test findings, perform statistical analysis and fine-tuning.
- Extend the capabilities of existing machine learning tools and frameworks.
- Verifying and/or assuring data quality through data cleansing.
- In order to implement/use AI/ML products, collaborate with various stakeholders and product teams.
- Manage the infrastructure and data pipelines required for deploying code.
- Choose the best machine learning algorithms and put them into action.
- For ML model building, choose the correct training Data Sets.
4. Machine Learning Scientist III – EXPEDIA
Responsibilities:
Developing and optimizing training algorithms, as well as comparing outcomes to production benchmarks Experience with PySpark, Apache Airflow, SQL, DataBricks, and other tools for creating and maintaining large-scale Extract, Transform, and Load (ETL) pipelines.
5. Machine Learning Scientist – Phenom People Pvt Ltd
Responsibilities:
- Design and implement methods and models for machine learning, information extraction, and probabilistic matching.
- Investigate and develop novel, scalable, and dynamic solutions to complex issues.
- To tackle difficulties head-on, collaborate with Machine Learning Scientists (PhDs), ML engineers, data scientists, and data engineers.
- To improve our products and develop new experiences, we use the latest advances in natural language processing, data analytics, and machine learning.
- Scale the platform’s machine learning algorithm to serve our growing customer base and boost data volume.
- Contribute to the future of the products and services as a valued member of the team.
6. Machine Learning Scientist (Imaging/ Computer Vision) – Onward Assist
Responsibilities:
- To tackle difficulties head-on, collaborate with Machine Learning Scientists (PhDs), ML engineers, data scientists, and data engineers.
- To improve our products and develop new experiences, we use the latest advances in natural language processing, data analytics, and machine learning.
7. Machine Learning Scientist – Career Makers
Responsibilities:
- Create novel, scalable solutions for business challenges using machine learning, data mining, and statistical techniques.
- Analyze and extract important data from massive amounts of historical business data to assist in the automation and optimization of essential processes.
- Create, test, and improve extremely novel predictive learning models.
- Create scalable, efficient, and automated methods for large-scale data analysis, model building, validation, and implementation.
- Novel machine learning and statistical methodologies should be researched and implemented.
8. Senior Machine Learning Scientist – Algonomy
Responsibilities:
- Identifying and resolving Bayesian optimization, neural networks, natural language processing, computer vision, and other machine learning problems
- Creating large-scale solutions
- Using Python, Tensorflow, and Java to commit and review code
- Working with real-time and experimental data
- Working with engineering, product management, and client support teams to communicate and collaborate.
9. Senior Machine Learning Scientist – Analytics Vidhya
Responsibilities:
- We are passionate about the problem we are attempting to solve.
- The ability to think critically.
- Enjoy the iterative development model based on user research.
- On the fly, pick up new abilities.
10. Associate Machine Learning Scientist – Wadhwani AI
Responsibilities:
- Building reliable machine learning solutions to societal challenges, frequently with the help of leading ML experts.
- Participate in the translation of a social problem into a well-defined AI problem, as well as the development and implementation of algorithms and solutions.
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Conclusion
Indeed.com has ranked machine learning engineer as the best Data Science job in the United States, claiming a 344 percent annual growth rate and median compensation of $146,085 per year. Overall, employment in computer and information technology is expected to expand by 11% between 2019 and 2029.
