In April 2022, here are the top ten machine learning scientist positions to apply for.
Top ten machine learning scientist positions
Machine Learning is a fantastic professional path with a lot of room for growth in the future.
The field of artificial intelligence and machine learning is vast, including tactics based on computer science, statistics, and many algorithms. Machine learning occupations are expanding alongside ubiquitous computing, and show no signs of slowing down anytime soon. Machine Learning 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 April are listed in this article.
Company Name: quixy
Job Title: Machine Learning Scientist
Responsibilities:
- Team leader and mentor for machine learning
- Machine learning systems should be researched, designed, and framed.
- To solve business problems, you must first understand the company objectives and then apply appropriate machine learning approaches.
- Choose the right datasets and data visualization techniques.
- Test and experiment with machine learning models.
- Using test findings, perform statistical analysis and fine-tuning.
- Extend the capabilities of existing machine learning libraries 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 to deploy code.
- Choose and use the best machine learning algorithms.
- Choose the appropriate training. Data Sets for the Development of Machine Learning Model
Company Name: Turning
Job Title: Machine Learning Scientist
Responsibilities:
- Use your fundamental coding abilities and ML knowledge to improve our existing machine learning systems.
- Take responsibility for 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 approaches.
- Improve targeting and engagement by developing features and large-scale recommendation systems.
- Identify new ways to apply machine learning to various aspects of our product(s) in order to increase consumer value.
Company Name: Antal International
Job Title: Machine Learning Scientist
Responsibilities:
- Team leader and mentor for machine learning
- Machine learning systems should be researched, designed, and framed.
- Understand company goals and use machine learning approaches to solve difficulties.
- Choose the right datasets and data visualization techniques.
- Test and experiment with machine learning models.
- Using test findings, perform statistical analysis and fine-tuning.
- Extend the capabilities of existing machine learning libraries 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 to deploy code.
- Choose and use the best machine learning algorithms.
- Choose the appropriate training. Data Sets for the Development of Machine Learning Models
Company Name: EXPEDIA
Job Title: Machine Learning Scientist lll
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.
Please submit your application here
Company Name: Phenom People Pvt Ltd
Job Title: Machine Learning Scientist
Responsibilities:
- Create and implement techniques and models for machine learning, information extraction, and probabilistic matching.
- Investigate and develop novel, scalable, and dynamic solutions to difficult challenges.
- To overcome difficulties, collaborate closely with Machine Learning Scientists (PhDs), ML engineers, data scientists, and data engineers. Use the most recent developments in natural language processing, data analytics, and machine learning to improve our products and create new experiences.
- Increase the data volume and scale the machine learning algorithm that runs the platform to serve our growing customer base.
- Be a valuable contributor to shaping the products and services of the future.
Company Name: Onward Assist
Job Title: Machine Learning Scientist (Imaging/ Computer Vision)
Responsibilities:
- To address 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.
Company Name: Career Makers
Job Title: Machine Learning Scientist
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.
Company Name: Algonomy
Job Title: Senior Machine Learning Scientist
Responsibilities:
- Identifying and resolving Bayesian optimization, neural networks, natural language processing, computer vision, and other machine learning challenges
- 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 customer service teams to communicate and collaborate
Company Name: Analytics Vidhya
Job Title: Senior Machine Learning Scientist
Responsibilities:
- We are deeply concerned about the situation we are attempting to solve.
- The ability to think critically
- Enjoy the iterative development model based on user research.
- Learn new abilities while you're out and about.
Company Name: Wadhwani AI
Job Title: Associate Machine Learning Scientist
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 challenge, as well as the development and implementation of algorithms and solutions.
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