Top 10 Machine Learning Engineer Jobs to Apply for in April

If you are interested in building a career as a machine learning engineer, here are the top jobs to apply for

Machine learning engineer is a combination of two vital roles in the industry, data scientist and software engineer. A machine learning engineer's work is similar to a data scientist's role; both work with huge datasets. Hence, a machine learning engineer should have excellent data management skills. Their job roles require them to combine the rules of data science with programming to help companies leverage their business with AI and machine learning technologies. Machine learning engineers are in huge demand to meet the supply in the global tech market in 2022. On that note take a look at the top machine learning engineer jobs to apply for in April.

Machine Learning Engineer

HP, Bangalore, Karnataka

Responsibilities:

• Pipeline deployment maintenance
• Data ingestion pipeline maintenance
• Infrastructure resources support
• Bug fixing and automated testing maintenance to support new features and new KPIs

Click here to apply

Machine Learning Engineer

iMerit Technology Kolkata

Responsibilities:

• Data research, collection, pipeline, and automation
• Responsible for the design and implementation of ML-based features from inspection to production.
• Research new technologies and adapt them for use in the product.
• Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems.

Click here to apply

Machine Learning Engineer

Filed

Responsibilities:

• Writing clean, high-quality, high-performance, maintainable code
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements
• Create Data models and mathematical models of large data sets
• Support test and deployment of new products and features

Click here to apply

Machine Learning Engineer

Siemens Energy Gurugram, Haryana

Responsibilities:

• Develop, build, and deploy ML models for business.
• Evaluate the performance of NLP models and iterate on improving them.
• Apply state-of-the-art NLP techniques to understand a large amount of unstructured data from our users, products, etc.
• Work closely with cross-functional teams and come up with scalable system and model architectures for enabling real-time ML/AI services.

Click here to apply

Machine Learning Engineer

Persistent Systems Marmagao, Goa

Responsibilities:

• Verify data quality, and/or ensure it via data cleaning
• Define validation strategies
• Train models and tune their hyperparameters
• Find available datasets online that could be used for training
• Deploy models to production

Click here to apply

Machine Learning Engineer

JPMorgan Chase & Co. Bengaluru, Karnataka

Responsibilities:

• Build common ML capabilities used across Corporate based on machine learning models
• Design/architect state-of-the-art data pipelines – on-prem, cloud, and hybrid.
• Automate and streamline existing processes, procedures, and toolsets
• Innovate new ways of managing, transforming, and validating data

Click here to apply

Machine Learning Engineer

Zscaler Bengaluru, Karnataka

Requirements:

• 3+ years of prior work experience as a Software Engineer or ML platform engineer
• Very strong algorithm and programming skills in building out data collection/processing infrastructure, ML model training, and serving platforms
• Very strong Python and SQL scripting skills
• 2+ years of experience using distributed data processing such as Spark, BigQuery, or Apache Beam
• 2+ years of experience with event messaging such as Kafka, RabbitMQ, etc
• 2+ years of experience working with Docker, Kubernetes

Click here to apply

Machine Learning Engineer

Ecolab Bengaluru, Karnataka

Responsibilities:

• Pipeline Orchestration – design and development of end-to-end workflow/pipeline.
• Assist in the development and deployment of automation and operational support strategies
• Deliver analytics solutions to data analysts, data scientists, and visualization engineers who create insights and analytical applications for business stakeholders
• Work in an Agile environment with Scrum teams

Click here to apply

Machine Learning Engineer – Amazon One, Amazon One

Amazon Bengaluru, Karnataka

Requirements:

• Ability to recognize and champion new ideas and novel solutions
• Correctly identify paths worth exploring
• Discipline to fast-fail when data refutes the theory
• Fortitude to continue exploring until your solution is found

Click here to apply

Machine Learning Engineer

Qualcomm Bengaluru, Karnataka

Responsibilities and Requirements:

• Exposure to autonomous driving algorithms and applications based on deep learning and computer vision is a plus.
• The role would involve optimizing the ML/NN operators on Qualcomm's DSP and coming up with compilers for ML models
• Strong C, assembly, and python programming skills.
• Experience in DSP based framework/tools/algorithm development, porting, profiling, and optimizations
• Experience with developing math, linear algebra, and ML libraries
• Experience with development on an RTOS, multi-threaded environment

Click here to apply