These machine learning engineer jobs can offer lucrative chances to advance your careers
Machine learning has become one of the most lucrative career options for aspiring techies and machine learning engineer jobs are one of the top jobs in the domain that offer a lucrative salary and immense growth in the careers. For candidates who are enthusiastic about artificial intelligence, automation, and algorithms, for them, machine learning might be the perfect career option. Machine learning engineer jobs mostly revolve around processing and moving vast amounts of data, implementing machine learning algorithms to process that data, and then automating the process for increased optimization. High-paying machine learning engineer jobs are not only lucrative for the career but also offer immense opportunities to bring changes in the industry and accelerate innovation. The demand for highly skilled professionals is on the rise now as companies continue to lay off employees to cut off costs. However, someone with advanced machine learning knowledge will continue to gain significance in their companies and can efficiently weather the ongoing economic storm. Here, we have listed high-paying machine learning engineer jobs to apply for in December 2022 and thrive in their careers.
Machine Learning Engineer
Company: Zoom
Location: United States (Remote)
As a member of the summarization team, the candidates will advance state-of-the-art text summarization, collaborate with expert industry partners on both hardware and models, and ultimately develop and maintain production systems that benefit hundreds of millions of users. They can also manage data ingestion processes, oversee labeling efforts and monitor data quality to support the company’s machine-learning models.
Python Machine Learning Engineer
Company: Eve World Platform
Location: Remote
Candidates will be working on the company’s highly sophisticated web3.0 social commerce platform, contributing to its backend recommendations system which provides useful recommendations to the user on the Coto app. The system will take multiple data sources to build user-level recommended content, based on location, content-consuming history, age, and other parameters.
Machine Learning Engineer
Company: Finarkein Analytics Pvt. Ltd.
Location: Pune, Maharashtra
The candidate will be responsible for designing, building, and evaluating data models and data mining techniques to address complex business use cases and problems. Besides that, they will have to define data requirements, collect, label, inspect, and clean data, train machine learning models, define evaluation metrics, and search hyper-parameters.
Associate Data Scientist- ML and NLP
Company: Gartner
Location: Gurgaon, India
The Service’s Data Science team innovates the path toward helping clients receive value, so technology leaders will be able to make smarter decisions in a different way. This team works on delivering valuable insights from unstructured data, developing statistical and machine learning-based methods to build, measure, and improve client engagement and retention.
Machine Learning Engineer- Timeseries
Company: Siemens
Location: Bengaluru, India
The company is looking for a candidate with 5 to 8 years of development experience with expertise in Timeserise analytics and modeling, anomaly detection, forecasting, and classification with Python. They should also have deep domain knowledge in industrial, electrical, and financial domains. Besides, they should be open to travel to Saudi for a duration of 3-6 months.
Machine Learning Engineer
Company: Ford Motor Company
Location: Chennai, India
The candidates should have over 2 years of work experience as a software engineer with exceptional software engineering knowledge. And experience in machine learning, deep learning models, Python, and NLP. They also have to understand or at least have the desire to learn end-to-end machine-learning technology stack tools.
Machine Learning Engineer
Company: BT
Location: Bengaluru, India
The key purpose of the role is to work on engineering projects, deliver and support data, AI and analytics solutions using GCP, microservices and containerization. They will also advocate for the best practices for infrastructure and coding regarding machine learning-specific requirements. The employees would also have to discuss the ML platform requirements with the data science colleagues on a deep level and help the team to deliver them.
Machine Learning Engineer
Company: Samsung Electro-Mechanics
Location: Bengaluru, India
The chosen machine learning engineers will have to work with deep learning experts to design and implement networks optimized for GPU-accelerated inference, develop advanced inference engine techniques to enable real-time deployment of models, and deploy productized networks to run efficiently on the company’s hardware.
Machine Learning Engineer
Company: Accenture
Location: Budapest
The company is looking for experienced data scientists with advanced knowledge in AI and ML. They will have to create various projects and opportunities in the field of computer vision, predictive analysis, and conversational artificial intelligence. They will also be responsible for gathering business requirements and translating them into machine learning requirements.
Machine Learning Engineering Manager- Manufacturing Systems and Infrastructure
Company: Apple
Location: Bengaluru, India
The iPhone operations data team is looking for an extraordinary machine learning engineering manager who is specialized in computer vision and deep learning to join the team. They will craft, design, and implement the machine learning strategy to the iPhone, Mac, and iPad supply chains and help build the future of manufacturing systems.
