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Machine Learning Operations Engineer Jobs

Software Engineer, Machine Learning Operations
By Microsoft At Redmond, WA, United States
1+ years of experience as MLops, Data, or Service engineer
1+ year(s) technical experience working with large-scale cloud or distributed systems.
Experience with building or supporting ML-based production systems consuming billions of events per day.
Experience with C# is a plus
Security experience or desire to develop security expertise
Resolve issues with services, minimize customer impact, and documents solutions that inform ongoing improvements and prevent the recurrence of similar issues.
Machine Learning Operations Engineer
By Moove-it At , San Francisco, 94104, Ca
Deploy, manage and monitor machine learning models in production environments.
4 years of experience in machine learning operations and a strong understanding of AWS technologies.
At least 4 years of experience in machine learning operations or a related field.
Experience with containerization technologies such as Docker and Kubernetes.
Experience with version control systems such as Git.
Strong problem-solving skills and attention to detail.
Reinforcement Learning Engineer Jobs
By Luca Talent At Seattle, WA, United States
Proven experience as a Data Scientist, Machine Learning Engineer, or similar role, with a focus on reinforcement learning.
Production experience with Reinforcement Learning and Bandit Techniques
Experience with at least one programming language commonly used in data science and machine learning (e.g., Python, R, Julia).
Strong knowledge of reinforcement learning concepts, algorithms, and frameworks (e.g., Q-learning, policy gradients, Proximal Policy Optimization).
Experience with deep reinforcement learning algorithms and frameworks (e.g., DQN, A3C, SAC) is highly desirable.
Excellent problem-solving and analytical skills.
Machine Learning Engineer Jobs
By Fidelity Investments At Smithfield, RI, United States
Advanced education on computer science / data science related field or equivalent experience
Demonstrated Hands On Experience with the following is required, as well as leading teams implementing:
Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
Experience with the following areas:
Relevant experience working in financial service industry focused on IT solutions
Your excellent verbal and written communication skills
Machine Learning Engineer Jobs
By Fidelity Investments At Durham, NC, United States
Advanced education on computer science / data science related field or equivalent experience
Demonstrated Hands On Experience with the following is required, as well as leading teams implementing:
Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
Experience with the following areas:
Relevant experience working in financial service industry focused on IT solutions
Your excellent verbal and written communication skills
Machine Learning Engineer, Core Engineering & Monetization Engineering
By Pinterest At , San Francisco, 94103, Ca
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
Information regarding the culture at Pinterest and benefits available for this position can be found
Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
Work in a high-impact environment with quick experimentation and product launches
Keeping up with industry trends in recommendation systems
Machine Learning Engineer, Amazon
By Amazon.com Services LLC At , Palo Alto, Ca From $115,000 a year
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Possess knowledge in performance, large scale distributed system scalability, system architecture, and engineering best practices.
Ability to understand complex application data flows and bridge the gap between technical and business app requirement
3+ years hands-on experience as ML Engineer on multiple software engineering or Machine Learning projects
Machine Learning Engineer I/Ii
By ABBVIE At , , Il
Experience implementing graph traversal algorithms and extracting network knowledge.
Encourage adoption of your methods/models through stakeholder training and education.
Strong written and oral English communication skills.
Background in life sciences or work experience in the pharmaceutical industry.
Coordinate the development of your Python ML codebase with stakeholders, and with other engineers/scientists in Convergence AI and Data Analytics.
Present results and prototypes to an audience of diverse scientific background.
Software Engineer - Machine Learning
By Celonis SE At , New York, 10001, Ny
Bachelor’s degree or equivalent practical experience (in Computer Science or related fields), Master’s degree and PhD degree a plus
Strong communication and collaboration skills
What Celonis can offer you:
Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related
Determine which AI/ML approach, if any, is suited for the problem
Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches
Machine Learning Engineer Jobs
By Nfinity Athletic At Atlanta Metropolitan Area, United States

Job Description: We're in search of a self-driven, highly skilled Video Machine Learning Engineer to take the helm of our machine learning efforts. This role is pivotal to our mission and will be ...

Machine Learning Engineer Jobs
By IDEXX At , Westbrook, 04092, Me $110,000 - $120,000 a year

As a Machine Learning Engineer , you will develop and deploy machine learning solutions. You will optimize models for deployment on cloud infrastructure and embedded hardware, implement scalable and ...

Machine Learning Engineer Jobs
By Carnegie Mellon University At , Pittsburgh, 15213, Pa
Build real-world, mission-scale AI capabilities through solving practical engineering problems
Discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities
Prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities
Technical leadership: You have led research projects and have experience collaborating across research teams and mentoring other researchers.
Click here to view a listing of employee benefits
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
Machine Learning Engineer Jobs
By bp At Denver, CO, United States
7+ years in data science or related field, 3+ years of hands on experience in machine learning operations.
Strong programming skills: Python and Cloud Implementation Scripting.
Experience with big data, real-time streaming data technologies, and cluster computing environments.
Knowledge and exposure to cloud technologies, especially AWS.
Implement data science algorithms in bpx’s ML Studio (SageMaker).
Create systems and processes to monitor performance of ML algorithms in production.
Machine Learning Engineer Jobs
By Analog Devices At , Boston, Ma
Master’s degree or equivalent experience.
Convert research ideas and proof of concepts to scalable machine learning code with one of the mainstream frameworks
Create production grade machine learning application deployable to Analog Devices’ AI cloud infrastructure
Create and maintain building blocks and unified machine learning framework for deployment to MLOps infrastructure
Work closely with other engineers in Analog Devices to establish the best machine learning practices
Create and train custom neural network models with PyTorch or TensorFlow
Software Engineer, Machine Learning
By Meta At , Remote $173,000 - $241,000 a year
Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
Suggest, collect and synthesize requirements and create effective feature roadmap
6+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
Experience with developing machine learning models at scale from inception to business impact
Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Software Engineer, Machine Learning - Monetization
By Meta At , Remote $104,000 - $168,000 a year
Suggest, collect and synthesize requirements and create effective feature roadmap
Proven experience to translate insights into business recommendations
Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable
Knowledge developing and debugging in C/C++ and Java
Experience with scripting languages such as Perl, Python, PHP, and shell scripts
Software Engineer, Machine Learning - Monetization Responsibilities:
Machine Learning Engineer Jobs
By Dexterity, Inc. At Redwood City, CA, United States

As a Machine Learning Engineer, you will be working on building Machine Learning models to support our computer vision and data analysis efforts. The role will involve understanding our current ...

Software Engineer 1 - Machine Learning
By Haptik At , Remote

What responsibilities will you be trusted with for the :

What are Haptik's Core Company Values:

Machine Learning Engineer, Llms & Summarization
By Zoom Video Communications, Inc. At , San Francisco Bay Area, Ca From $117,000 a year
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
Manage data ingestion processes, oversee labeling efforts and monitor data quality to support your own machine learning models.
Continued education about the latest machine learning algorithms, techniques, and technologies.
3+ years of professional experience as an ML Engineer
Professional or extensive academic experience with pre-training LLMs (text summarization experience is a bonus)
Professional experience with training seq-to-seq models for various tasks.
Machine Learning Engineer Intern
By Thales At San Jose, CA, United States
Basic knowledge of machine learning techniques including natural language processing
Working knowledge of Linux operating environment and Linux IDE
Become familiar with simple tasks like checking out source code, building source and product installation.
Study assigned problems and research the underlying technical areas.
Implement assigned problems and provide interim status.
Write the summary report and present to the engineering team at the end of internship assignment.

Are you looking for an exciting opportunity to use your Machine Learning and Operations skills to help build the future of technology? We are looking for a Machine Learning Operations Engineer to join our team and help us develop and deploy cutting-edge ML models. You will be responsible for ensuring the smooth operation of our ML models and systems, as well as developing and deploying new models. If you are passionate about ML and operations, this is the perfect job for you!

Overview A Machine Learning Operations Engineer is responsible for the development, deployment, and maintenance of machine learning models and systems. They are responsible for ensuring that the models and systems are running efficiently and accurately. They must be able to troubleshoot and debug any issues that arise. Detailed Job Description A Machine Learning Operations Engineer is responsible for the development, deployment, and maintenance of machine learning models and systems. They must be able to design, develop, and deploy machine learning models and systems that are efficient and accurate. They must be able to troubleshoot and debug any issues that arise. They must be able to monitor and analyze the performance of the models and systems. They must be able to develop and implement strategies to improve the performance of the models and systems. They must be able to collaborate with other teams to ensure that the models and systems are running efficiently and accurately. Job Skills Required
• Knowledge of machine learning algorithms and techniques
• Knowledge of software engineering principles
• Knowledge of data engineering principles
• Knowledge of cloud computing
• Knowledge of DevOps
• Knowledge of scripting languages
• Knowledge of databases
• Knowledge of data visualization
• Ability to troubleshoot and debug issues
• Ability to monitor and analyze performance
• Ability to develop and implement strategies to improve performance
• Ability to collaborate with other teams
Job Qualifications
• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years of experience in machine learning operations
• Experience with machine learning algorithms and techniques
• Experience with software engineering principles
• Experience with data engineering principles
• Experience with cloud computing
• Experience with DevOps
• Experience with scripting languages
• Experience with databases
• Experience with data visualization
• Ability to troubleshoot and debug issues
• Ability to monitor and analyze performance
• Ability to develop and implement strategies to improve performance
• Ability to collaborate with other teams
Job Knowledge
• Knowledge of machine learning algorithms and techniques
• Knowledge of software engineering principles
• Knowledge of data engineering principles
• Knowledge of cloud computing
• Knowledge of DevOps
• Knowledge of scripting languages
• Knowledge of databases
• Knowledge of data visualization
Job Experience
• 3+ years of experience in machine learning operations
• Experience with machine learning algorithms and techniques
• Experience with software engineering principles
• Experience with data engineering principles
• Experience with cloud computing