This is a vacancy alert for working professionals who have specialization in machine learning and its mechanisms who are looking for a vacancy in machine learning. Multiple tech companies have created plethora of jobs in machine learning in these recent years. There are different kinds of machine learning roles to get recruited and earn a hefty salary per annum. Thus, let's explore some of the top machine learning jobs to apply for in January 2022 with the necessary skills and qualifications.
Location: Karnataka
Responsibilities: The machine learning engineer needs to solve a variety of technical challenges and mentor other engineers while translating business and functional requirements into concrete deliverables. The candidate should invent new features, develop and deploy highly scalable as well as reliable distributed services. It is essential to tackle challenges efficiently with the technical teams at Amazon.
Qualifications: The candidate should have a Ph.D. or Master's degree in any technical field with more than two years of hands-on professional experience with software development related to machine learning and one year of contributing to the architecture and design of new systems. It is essential to have sufficient experience with building production quality, modern programming language, machine learning techniques, and regression models.
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Location: Bengaluru
Responsibilities: The responsibility is to manage a small team of analysts, developers, testers, and engineers to drive the delivery of a small module within a project. The candidate needs to act as an entry-level specialist with expertise in any particular technology. It is essential to be responsible for the functional and technical track of a project.
Qualifications: The minimum work experience should be within five to eight years.
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Location: California
Responsibilities: The analyst needs to work with large and complex datasets while solving non-routine analysis problems by applying advanced analytical methods. It is essential to lead and manage multiple projects with high complexity. The candidate needs to use technical judgment to drive project delivery and prototype analysis pipelines to provide insights. The responsibilities are to interact cross-functionality with a wide range of teams and make recommendations with effective presentations.
Qualifications: There should be a Bachelor's/Master's/Ph.D. degree in any quantitative field with four to six years of working experience in data analysis, coding, databases, statistical data analysis, and statistical software.
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Location: Bengaluru
Responsibilities: The data engineer needs to transform clients' data into tangible business value while working with open-source and visual tools. Data expertise is essential to manipulate and integrate big data and other structured data to develop advanced analytics products. The candidate should extract data from multiple sources and integrate it for analytics.
Qualifications: There should be a minimum of four years of working experience with machine learning, data interpretation, data visualization, deep learning, NLP, and AWS. A solid understanding of feature extraction and feature selection techniques is needed.
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Location: Bengaluru
Responsibilities: It is expected to handle solution definition or fitment for a small-sized project with medium complexity and build a custom function module with medium complexity program logic.
Qualifications: There should be a minimum of five to eight years of work experience with in-depth knowledge of industry practice. There should be sufficient knowledge of machine learning, MS Azure AI, data science, cloud PaaS, and AWS.
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Location: Bengaluru
Responsibilities: The main responsibility is to design, develop, deploy, test, and improve machine learning models and software while managing individual projects efficiently. It is essential to participate in cutting-edge research in machine learning and artificial intelligence applications and build libraries and frameworks to support web applications.
Qualifications: The candidate should have a Bachelor's/Master's/Ph.D. degree in any technical field with two to five years of work experience with designing and implementing distributed software systems, machine learning software development, full-stack development, NLP, and many more.
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