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6 Trending Jobs In Machine Learning & Data Science To Apply Right Away

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6 Trending Jobs In Machine Learning & Data Science To Apply Right Away

Key takeaways

  • Machine Learning and Data Science are increasingly relevant fields focused on intelligent algorithms and data analysis.
  • Microsoft India is seeking an ML Engineer II to develop scalable tools and algorithms for diverse applications.
  • Candidates for the ML Engineer position should possess extensive knowledge in machine learning, AI, and data mining technologies.
  • Experience with programming and data processing languages is essential for success in these roles.
  • The demand for skilled professionals in machine learning and data science continues to grow across various industries.

Takeaways drafted with AI from the article text.

Machine Learning and Data Science deals with intelligent algorithms, statistics, mathematics and much more. In this article, we list down 6 trending jobs in machine learning one can apply.

1| ML Engineer II at Microsoft India

Location: Hyderabad Responsibilities: The responsibilities include developing highly scalable classifiers and tools leveraging machine learning, data regression and rule-based models, deep learning, create language models from petabytes of text data in different languages, suggest, collect and synthesize requirements and innovate to create next-generation feature sets. The candidate will work as part of the product team to implement algorithms that power user and developer-facing products reaching out to millions of users, adapt standard machine learning methods to best exploit modern parallel environments.    Prerequisites: The candidate must have strong background in one or more of Machine Learning, Artificial Intelligence, Pattern Recognition, Natural Language, Deep Learning, DNNs, large scale Data Mining, experience with scripting languages such as Perl, Python, PHP, and shell scripts, experience with recommendation systems, targeting systems, ranking systems or similar systems, experience with any of Hadoop/Hbase/Pig or MapReduce/Bigtable or R/Matlab/AzureML or similar technologies.   Apply here.

2| Machine Learning Engineer- Lead At JPMorgan Chase & Co

Location: Bangalore Responsibilities: The responsibilities for a Machine Learning Engineer – Lead include building common ML capabilities used across Corporate based on machine learning models, automate and streamline existing processes, procedures, and toolsets. The candidate shall also innovate new ways of managing, transforming and validating data, mentor and coach junior team members to build a high-performing team, lead development of one or more of next-generation big data based machine learning frameworks and back-end services, front-end web applications and back-end services that integrate with other products, high-performance processing and analytics applications using Spark and robust analytic data pipelines.     Prerequisites: The candidate must have BA/BS degree or equivalent experience in Computer Science, Information Technology or related disciplines in addition to 10+ years of exceptional hands-on knowledge of robust software design and development. Python is a must know  and prior experience on end to end – design, development, deployment, exposure to either AWS or Hadoop Ecosystem is a must.   Apply here.

3| Senior Data Scientist At PayPal

Location: Bangalore Responsibilities: The responsibilities include build, evolve, and scale state-of-the-art machine learning system infrastructure powering PayPal's data and AI Platforms.  The candidate is expected to contribute to the design, development and operations of large-scale infrastructure systems. The Data Scientist will work with other Machine learning / deep learning researchers and backend engineers to implement scalable solutions to solve complex problems.  Prerequisites: Requirements include strong analytical skills, ability to build quick estimates using back-of-the-envelope analysis, structure (and, if needed, execute) more complex analyses, pull together business cases and forecasts to navigate through multi-dimensional sets of tradeoffs. In addition, experience with Microsoft Excel or statistical software, working knowledge of SQL or other relational database languages, and hands-on experience in data analysis involving large data sets and good communication skills. The candidate must have BS/BA degree with 7+ years of experience, MS degree with 5+ year of experience and all the above mentioned skills,     Apply here.

4| Data Analyst/ Data Science At Rawmind

Location: Gurgaon Prerequisites: The candidate must have BCA, MCA, B.Tech, M.Tech (Passout batch 2016 to 2108), must have good knowledge of SQL, should be able to write SQL Queries and having an understanding of data warehousing concepts like Joins , Keys , Schema, Normalization, etc., good analytical skill, exposure to Tableau, Power BI,ETL Tools, etc. Apply here.

5| Data Analyst At Recruise India

Location: Bangalore Responsibilities: This role supports the needs of Forecasting, Analytics and Master Data Management team with a focus on providing advanced descriptive analytics through Tableau. This position is responsible for building dashboards, data collection, data curation and presentations in order to measure the success of business strategies, provide accountability for field sales performance, and enhance overall performance. Specifically, collaborate with Strategic Analytics to provide insightful visualisations as a part of larger project analyses. Prerequisites: The candidate must have Tableau visualisation and calculation skills, LOD, parameters, ability to evaluate business process improvements. Also, Bachelor’s Degree + MBA from a good school required. Apply here.

6| Computer Vision Engineer At KoiReader Technologies

Location: Bangalore Responsibilities: The candidate must leverage open-source code and libraries to quickly experiment and build novel solutions, independently think of solutions to complex requirements, and possess exceptional logical skills. For this position, the candidate shall also analyse current products in development, including performance, diagnosis and troubleshooting work with the existing framework and help evolve it by building reusable code and libraries, search and introduce the new software-related technologies, process and tools to the team. Prerequisites: The candidate must have strong experience in Python, building statistical models & Deep Learning, experience in PyTorch, Tensorflow, Keras, OpenCV, SciPy, NumPy, NLP, good understanding of optimizing data processing pipelines, ability to work and thrive in a startup environment, learn rapidly and master diverse web technologies and techniques. Apply here.

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