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
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.
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
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.
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
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
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
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
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
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
Source: analyticsinsight.net
