Machine Learning Engineer - Remote - YKW103
Company Overview:
Our client is a comprehensive solutions provider dedicated to maximizing customer value across the plant life cycle. From plant-level management to cutting-edge products, they offer a range of software solutions, including productivity enhancement, production control systems, pressure transmitters, process analyzers, programmable controllers, and more. Their specialization lies in applying advanced machine-learning techniques to address real-world challenges.
Job Brief:
They are in search of a highly skilled and seasoned Lead Machine Learning Engineer to join their dynamic team. The ideal candidate will play a pivotal role in the design, optimization, and review of sophisticated machine learning systems. This position demands a profound understanding of data engineering, software development, and machine learning serving.
Responsibilities:
- Lead the design and development of scalable machine learning models and algorithms.
- Collaborate with cross-functional teams to seamlessly integrate machine learning technologies into their products and services.
- Optimize existing machine learning systems for enhanced performance and efficiency.
- Conduct comprehensive code reviews to ensure the highest standards of software development.
- Stay updated on the latest advancements in machine learning, data engineering, and related fields.
- Mentor and guide junior team members in best practices for machine learning.
- Ensure alignment of machine learning solutions with business objectives.
- Manage the deployment and maintenance of machine learning models in production environments.
Requirements
Must Have:
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience in system design, microservices, RestfulAPI, and gRPC.
- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Java).
- Familiarity with big data technologies and data engineering tools such as Spark, Kafka, Flink, etc.
- Knowledge of machine learning serving technologies and k8s such as Kubeflow, KServe, BentoML, etc.
- Excellent problem-solving, analytical, and communication skills.
- Proven experience as a Machine Learning Engineer, Data Scientist, or in a similar role.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Nice to Have:
- Experience with IoT systems or time-series data.
- Building experience with compute-intensive, memory-intensive, and data-streaming applications is a plus.
Benefits
- $4000 - $6000 monthly salary
Related Jobs
Suki
Director, Machine Learning
- ML (Machine Learning)
- Full Time
- asr
- engineering
- gcp
- golang
- graphql
- javascript
- kubernetes
- machine learning
- nlp
- pipelines
Unlearn
Machine Learning Internship Summer 2024
- ML (Machine Learning)
- Full Time
- computer science
- generative ai
- generative modeling
- machine learning
- ml models
- numpy
- pandas
- python
- pytorch
Amazon.com
System Development Engineer II, AI/ML ADC
- ML (Machine Learning)
- Full Time
- agile
- aws
- ci/cd
- computer science
- cx
- distributed systems
- engineering
- golang
- government agency
- java
Land your dream job
Get a weekly email with the latest startup jobs.