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Edge Ml Operations Engineer Senior Consultant Jobs

Ai/Ml Software Engineer
By Toyon Research Corporation At Goleta, CA, United States

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required. Toyon is seeking highly qualified AI/ML Software Engineer candidates to develop ...

Ai/Ml Engineer (Hybrid)
By Detroit Labs At Auburn Hills, MI, United States
5+ years of experience working with Machine Learning, AI, and natural language processing
Hands-on experience in applying Google ML/AI services to real-world projects
Experience with data gathering, data quality, system architecture, and coding best practices
Knowledge of grounding language models in context for coherent and relevant text generation
Problem-solving skills and ability to think creatively to develop innovative AI solutions
Strong communication skills to collaborate effectively with cross-functional teams and present complex technical concepts
Internship Opportunity: Ai/Ml Engineer
By Magen Consulting Group At United States
Eager to apply and expand their AI/ML skills on biological problems
Interested in leveraging knowledge graphs and LLMs
Looking to gain valuable experience for future opportunities in AI/ML
No prior biology experience needed.
Implement and test state-of-the-art natural language processing models like for biological applications
Develop machine learning pipelines to extract insights from biological datasets
Ai/Ml Software Engineer
By Toyon Research Corporation At Fort Collins, CO, United States

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required. Toyon is seeking highly qualified AI/ML Software Engineer candidates to develop ...

Network Development Engineer, Edge
By TikTok At , San Jose $112,200 - $205,000 a year
Design, build and manage TikTok's rapidly growing edge network
1-3 years of experience working in a hyperscale network environment or service provider
Experience in configuration and maintenance of network devices and NMS systems, or applications such as web servers, load balancers
Experience developing and understanding network device configuration for at least one vendor (Juniper, Cisco, Arista, Ciena, etc.)
Experience understanding and mitigating network hardware and topology failures
Experience working on BGP and anycast routing
Senior Software Engineer, Infrastructure - Edge Routing
By Coinbase At , Remote $175,100 - $206,000 a year
Communicate to gather requirements for routing offerings and capabilities, and to understand gaps and improvements.
Help design, build, and operate our internal routing systems and components, including service identity, service discovery, and traffic management.
Implement customer-focused abstractions that simplify and standardize the way we offer routing capabilities.
Experience building services involving public cloud providers such as AWS, GCP, or Azure with practical knowledge of cloud networking concepts.
Manage and assist in the resolution of complicated technical problems and incidents, provide appropriate communication and escalation.
At least 5+ years of software engineering experience
Ml/Ai Engineer Jobs
By Neudesic At Irvine, CA, United States
Strong data wrangling skills and proven experience working with large, complex datasets.
Experience deploying models, operationalizing models into business processes.
Advanced knowledge of machine learning models and techniques (regression, classification, decision trees, clustering, and neural networks, etc.)
Proven experience building and deploying ML models in Azure cloud.
Experience with AI technologies, particularly OpenAI and GPT.
Experience with LangChain, Hugging Face.
Software Engineer - Ai/Ml Services
By GSK At , San Francisco, Ca $121,448 - $164,312 a year

Important notice to Employment businesses/ Agencies

Ai / Ml Engineer Jobs
By WWA Consulting At New York, United States
5+ years of professional software development experience.
A passion for data and experience in applying that passion to high quality data products.
Extensive experience with entire software development cycle from design to deployment.
Strong knowledge of software engineering best practices, object oriented concepts, and the ins and outs of data-focused development.
Provide consultancy on how AI/ML can help with a team’s existing processes.
Conduct quantitative research and deliver insights related to NLP/Machine learning models.
Ml Engineer Jobs
By Quess US At Santa Clara, CA, United States
Experience with model registry, feature engineering, embeddings
Airflow [Training and inferencing ML pipelines]
Vector databases (Vespa / Weaviate / Pinecone)
Quess is hiring for one of our large Clients for a Ml Engineer:
Ml/Ai Engineer Jobs
By Air AI At San Francisco, CA, United States
Bonus: Brings experience with real-time audio models. This would have significant impact on our operations in audio processing.
Bonus: Experience or past work demonstrating quick iterations for implementing recent publications.
Constantly focuses on improving existing models, as opposed to pioneering new research.
30,000 Foot View On Air:
You are on a floating rock in the middle of the universe.
And every “all time great” team throughout history has 2 similarities:
Lead Ai/Ml Engineer, Bioinformatics
By GSK At Cambridge, MA, United States
Experience/knowledge of antibody and/or small molecule drug discovery, developability, and validation.
Proficiency in Python and hands-on experience with machine learning libraries such as Scikit-Learn, TensorFlow, and PyTorch.
Knowledge of deep learning techniques, such as, CNN, RNN, autoencoder, backpropagation, transformers/large language model.
Super problem-solving and analytical skills, with the ability to propose creative and efficient solutions.
Excellent written and oral communication skills, and ability to optimally communicate technical findings with stakeholders.
Familiar with transformer/Large language model with hands-on experience of developing or applying predictive models in health care industry.
Ai/ Ml Engineer Jobs
By Donato Technologies, Inc. At Columbus, Ohio Metropolitan Area, United States
Proven experience as a #MachineLearning Engineer or similar role
Expert-level experience in ML SDLC, developing and productionizing #Python and #Javaapplications
Expert level hands-on experience in deploying #ML applications to AWS cloud using (SageMaker, EMR, S3, VPC endpoint, etc.)
Hands-on experience in AWS apps such as EMR, Sage Maker, Cloud Watch, S3 Data Lake etc.((this is a must)
Experience in deploying applications Kubernetes and AWS platform.
AWS certification (Developer or Architect or ML Specialty) is a huge plus.
Ml Engineer Jobs
By Docyt At Dallas, TX, United States
Design and develop innovative machine learning models and algorithms for financial data management
3+ years of experience developing machine learning models and algorithms
Strong programming skills in Python or Java
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
Knowledge of machine learning frameworks such as Tensorflow, Keras, or PyTorch
Experience with distributed systems and parallel computing
Ai/Ml Engineer Jobs
By Heliosz.AI At Boca Raton, FL, United States
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
Collaborate with cross-functional teams to evaluate and incorporate external libraries, tools, and frameworks to enhance our machine-learning capabilities.
Proficiency in programming languages such as Python, along with experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, sci-kit-learn).
Experience with large-scale data processing frameworks (e.g., Spark, Hadoop) and cloud computing platforms (e.g., AWS, GCP) is highly desirable.
Conduct exploratory data analysis, feature engineering, and model evaluation to gain insights and improve model performance
Implement and deploy scalable machine learning pipelines and frameworks to process and analyze large-scale datasets efficiently.
Senior Ai/Ml Engineer (Volunteer)
By The Apologist Project At United States
3+ years experience with training AI/ML models.
5+ years overall software engineering experience.
3+ years experience developing APIs at scale.
Assist with the training of an LLM to produce a conversational AI trained on custom data.
Create a scalable API to expose the AI's responses to the frontend.
Advise on infrastructure necessary to performantly serve API requests.
Senior Software Engineer, Ml Platform
By SambaNova Systems At Palo Alto, CA, United States
Strong programming skills in Python, OOP concepts, and experience contributing to production-grade large codebases
Standardize model building and usage process by defining right interfaces and building services to manage ML model lifecycle
4+ years of experience in software development
Experience with Docker and Kubernetes
Experience of tuning and delivering LLMs like GPT, LaMDA, BERT, etc.
Experience with containerization of ML models and deployment of ML models as APIs
Ai Ml Engineer Jobs
By Epik Solutions At Charlotte, NC, United States
Must have skill set –
At least 8+ years of relevant experience as an AI/ML Engineer
Extensive experience with programming languages, such as Python, C++, Java, or R
Ability to skillfully write efficient AI code
Strong interpersonal skills and great command of English communication
Expertise with AI/ML frameworks like TensorFlow, JAX, Pytorch, etc would be a plus
Junior Ml Engineer Jobs
By KTek Resourcing At New City, NY, United States
Accurately implement methods described in technical documentation developed by our researchers.
Develop accompanying infrastructure to make the models and analytics developed accessible via a variety of access patterns.
Test all software being developed for accuracy and stability.
Sr. Data Engineer - Ai/Ml
By Stanford Health Care At Palo Alto, CA, United States
Knowledge of resource management and automation approaches such as workflow runners.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related, or equivalent working experience
Experience with cloud deployment strategies and CI/CD
Experience building and working with data infrastructure in a SaaS environment
Experience overseeing, developing or implementing machine learning operations (MLOps) processes.
Experience working with healthcare data.

Are you looking for an exciting opportunity to use your Machine Learning and Operations Engineering skills to help shape the future of technology? We are looking for a Senior Consultant to join our team and help us develop innovative solutions to complex problems. You will be responsible for designing, developing, and deploying ML models and operations engineering solutions to improve the performance of our clients' businesses. If you are passionate about technology and have a strong background in ML and operations engineering, this is the perfect job for you!

Overview:

Edge ML Operations Engineer Senior Consultant is responsible for providing technical expertise and guidance in the areas of machine learning, deep learning, and edge computing. This role is responsible for developing, deploying, and managing ML/DL models and applications on edge devices. The Senior Consultant will also be responsible for providing technical support to customers and partners.

Detailed Job Description:

The Edge ML Operations Engineer Senior Consultant will be responsible for developing, deploying, and managing ML/DL models and applications on edge devices. This includes designing, developing, and deploying ML/DL models and applications on edge devices, as well as providing technical support to customers and partners. The Senior Consultant will also be responsible for troubleshooting and resolving technical issues related to ML/DL models and applications on edge devices.

What is Edge Ml Operations Engineer Senior Consultant Job Skills Required?

• Strong knowledge of machine learning, deep learning, and edge computing
• Experience with developing, deploying, and managing ML/DL models and applications on edge devices
• Knowledge of cloud computing and distributed systems
• Knowledge of software development and scripting languages such as Python, Java, and C++
• Knowledge of data engineering and data science
• Knowledge of DevOps and CI/CD
• Ability to troubleshoot and resolve technical issues
• Excellent communication and interpersonal skills

What is Edge Ml Operations Engineer Senior Consultant Job Qualifications?

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in software development and/or ML/DL operations
• Experience with developing, deploying, and managing ML/DL models and applications on edge devices
• Experience with cloud computing and distributed systems
• Experience with software development and scripting languages such as Python, Java, and C++
• Experience with data engineering and data science
• Experience with DevOps and CI/CD
• Excellent communication and interpersonal skills

What is Edge Ml Operations Engineer Senior Consultant Job Knowledge?

• Knowledge of machine learning, deep learning, and edge computing
• Knowledge of cloud computing and distributed systems
• Knowledge of software development and scripting languages such as Python, Java, and C++
• Knowledge of data engineering and data science
• Knowledge of DevOps and CI/CD

What is Edge Ml Operations Engineer Senior Consultant Job Experience?

• 5+ years of experience in software development and/or ML/DL operations
• Experience with developing, deploying, and managing ML/DL models and applications on edge devices
• Experience with cloud computing and distributed systems
• Experience with software development and scripting