Top 10 Machine Learning Scientist Jobs to Apply for in April 2022

Machine Learning is a very good career with tremendous opportunities for advancement in the future.

AI and Machine Learning is expansive, with strategies drawing from computer science, statistics, and different algorithms. Along with ubiquitous computing, machine learning jobs are also booming, and currently, shows no signs of slowing down. Machine Learning is a very good career with tremendous opportunities for advancement in the future. There are various roles like Machine learning scientist, Machine learning engineer, and more responsible for collecting, analyzing, and interpreting extremely large amounts of data and their findings to solve problems. This article features the top 10 machine learning scientist jobs to apply for in April.  

Machine Learning Scientist

Company: quixy Responsibilities:

• Lead and mentor machine learning team
• Research, design, and frame machine learning systems
• Understand business objectives and apply appropriate ML techniques to solve business problems
• Select appropriate datasets and data representation methods
• Perform machine learning model tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Extend existing ML libraries and frameworks
• Verifying data quality, and/or ensuring it via data cleaning
• Collaborate with different stakeholders and product teams in implementing/using AI/ML products
• Manage the infrastructure and data pipelines needed to bring code to production
• Select and implement the right machine learning algorithms
• Select the right training Data Sets for ML model development

Apply here  

Machine Learning Scientist

Company: Turning Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end-to-end ownership of machine learning systems – from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large-scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Apply here  

ML Scientist

Company: Antal International Responsibilities:

• Lead and mentor machine learning team
• Research, design, and frame machine learning systems
• Understand business objectives and apply appropriate ML techniques to solve business problems.
• Select appropriate datasets and data representation methods
• Perform machine learning model tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Extend existing ML libraries and frameworks
• Verifying data quality, and/or ensuring it via data cleaning
• Collaborate with different stakeholders and product teams in implementing/using AI/ML products.
• Manage the infrastructure and data pipelines needed to bring code to production
• Select and implement the right machine learning algorithms
• Select the right training Data Sets for ML model development

Apply here  

Machine Learning Scientist III

Company: EXPEDIA Responsibilities: Building and optimizing training algorithms, evaluating results against production baselines Experience building and maintaining large-scale Extract Transform and Load (ETL) pipelines using tools such as PySpark, Apache Airflow, SQL, DataBricks, and more. Apply here  

Machine Learning Scientist

Company: Phenom People Pvt Ltd Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable, and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists, and data engineers to address challenges head-on
• Use the latest advances in NLP, data science, and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers the platform to support our growing customer base and increase the data volume
• Be a valued contributor to shaping the future of the products and services

Apply here  

Machine Learning Scientist (Imaging/ Computer Vision)

Company: Onward Assist Responsibilities:

• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists, and data engineers to address challenges head-on
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences

Apply here  

Machine Learning Scientist

Company: Career Makers Responsibilities:

• Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems
• Analyze and extract relevant information from large amounts of the company’s historical business data to help automate and optimize key processes
• Design, develop and evaluate highly innovative models for predictive learning
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation
• Research and implement novel machine learning and statistical approaches

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Senior Machine Learning Scientist

Company: Algonomy Responsibilities:

• Identifying and solving machine learning problems involving Bayesian optimization, neural networks, NLP, computer vision, and more
• Productionizing solutions at scale
• Committing and reviewing code in Python, Tensorflow, and Java
• Working with experimental and live data
• Communicating and collaborating with engineering, product management, and client support teams

Apply here  

Senior Machine Learning Scientist

Company: Analytics Vidhya Responsibilities:

• Deeply care about the problem we are solving
• Critical thinking
• Enjoy user research-driven iterative model of development
• Learn new skills on the go

Apply here  

Associate Machine Learning Scientist

Company: Wadhwani AI Responsibilities:

• Building robust machine learning solutions to problems of societal importance, usually under the guidance of senior ML scientists.
• Participate in translating a problem in the social sector to a well-defined AI problem, in the development and execution of algorithms and solutions to the problem

Apply here