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Senior Machine Learning Architect Jobs

Senior Machine Learning Engineer
By Pi Square Technologies At Farmington, MI, United States
● Production experience utilizing Diffusion-based text-to-image generative models with Python as a base for image generation systems
● Production based experience developing image generative algorithms and large language models
● Production based experience architecting, developing, and deploying production Python applications
● Production experience working with MLOps pipelines
● Strong knowledge of deep learning, natural language processing, and generative AI
● Experience in data processing and analysis, statistical analysis, and data visualization
Senior Machine Learning Engineer
By Bain & Company At Austin, TX, United States
2-3 years of engineering experience 
Proficient knowledge of Python and SQL 
Experience with containers, Docker and Git 
Experience with cloud platforms (e.g. AWS, GCP, Azure, Databricks, etc) and associated machine learning products, e.g. Amazon SageMaker, Azure ML 
Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark  
Experience working according to agile principles 
Senior Machine Learning Engineer
By Big Cloud At New York City Metropolitan Area, United States
Previous Machine Learning experience (5+ years)
Previous experience productionizing NLP models
Strong experience with Python, TensorFlow/ PyTorch
PhD qualification in computer science or equivalent
MS/ PhD in computer Science (related field)
Exposure to data pipeline frameworks (KubeFlow, AirFlow, MLFlow, etc.)
Senior Machine Learning Engineer, Feed Quality
By TikTok At , San Jose $187,040 - $280,000 a year
Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
Bachelor degree in computer science or a related major, with 3+ years of related work experience;
Strong software development experience with C++, Python or other programming language;
Strong communication and teamwork skills;
Deliver end-to-end machine learning solution to address critical product challenges;
Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
Senior Machine Learning Engineer
By Atlassian At , Mountain View
Experience delivering impact in the domain of Content Recommendation, Text Classification, Knowledge Graphs.
Manage AI/ML projects to achieve the desired outcome promptly
Master or equivalent in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
5+ years of related industry experience in the data science domain
Experience building and scaling machine learning models in business applications using large amounts of data
Agile development mindset, appreciating the benefit of constant iteration and improvement
Senior Machine Learning Engineer
By Amgen At , Thousand Oaks, Ca $142,425 - $184,988 a year
Automate model monitoring, model retrain, model deployment process based on business requirement
Outstanding analytical and problem-solving skills; Ability to learn quickly and detail oriented
Experience with machine learning operations
Deep knowledge of math, probability, statistics and algorithms
Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, especially SparkSQL performance tuning
Experience with software DevOps CI/CD tools, such GitLab
Senior Learning Manager Jobs
By American Thoracic Society At New York City Metropolitan Area, United States
Strong skills within communication, project management, and problem solving.
Knowledge of medical education and emerging educational learning formats. Familiarity with instructional design principles.
Exceptional skill in developing and maintaining processes to build and track learning initiatives.
4 years of relevant experience.
Hybrid work environment (two remote days each week)
Comprehensive medical, dental, and vision benefits
Senior Geospatial Machine Learning Engineer
By Wherobots.ai At San Francisco Bay Area, United States
●Hands-on experience with remote sensing tasks such as segmentation and feature extraction over GeoTiff, HDF, or Zarr.
●Hands-on experience with GIS tools (e.g., Apache Sedona, ArcGIS, GeoPandas, QGIS).
●3+ years of experience writing production code in C/C++, Java/Scala, Python or other major programming languages.
●3+ years of hands-on experience with popular Machine Learning/AI software (e.g., TensorFlow, PyTorch, Scikit-Learn).
●Hands-on experience with cloud APIs (e.g., AWS, Azure, GCP)
●BS (or higher) in Computer Science, or a related field
Senior Machine Learning Engineer (On-Site)
By Planet Recruiters At Phoenix, AZ, United States
7+ years of experience in business analysis, customer segmentation, and/or predictive modeling, preferably in the financial services industry.
Strong knowledge of 1 or more scripting and programming languages (Python, Java, SQL, etc.).
Experience building, finetune and running inference on transformer models, preferably multi models like LayoutLM.
This position "Senior Machine Learning Engineer" is available with one of our Finance Industry client.
Supports the analytics department by leveraging data technologies to aggregate and structure data, perform statistical analysis, build algorithmic solutions.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Senior Product Manager, Machine Learning
By Upstart At United States
5-7 years of product management experience.
Knowledge of machine learning workflows (e.g. model training, online inference, feature management, etc.)
Write detailed requirements; manage agile processes to ensure consistent execution and accurate timelines
Demonstrate and encourage best practices in product management by working with other PMs throughout the company
Conduct user research and manage stakeholders to drive consensus
BA/BS in Economics, Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience.
Senior Machine Learning Engineer
By Infigage At San Francisco, CA, United States
•Experience with Go, Redis, Kubernetes, Red Panda, Docker, React etc
•Passionate and stay up to date with ML
•You really enjoy both talking to customers and working on deep technical problems
•Have great attention to detail, and want to help build a really, really good product
Senior Machine Learning Engineer
By Tsunami Sequoia At Phoenix, AZ, United States
Excellent verbal and written communication skills.
Strong knowledge of 1 or more scripting and programming languages (Python, Java, SQL, etc.).
Experience building, finetune and running inference on transformer models, preferably multi models like LayoutLM.
5+ years of experience in business analysis, customer segmentation, and/or predictive modeling, preferably in the financial services industry.
Supports the analytics department by leveraging data technologies to aggregate and structure data, perform statistical analysis, build algorithmic solutions.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Senior Machine Learning Engineer, E-Commerce Risk/Fraud - Usds
By TikTok At Seattle, WA, United States

Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, ...

Senior Machine Learning Engineer - Content Growth
By TikTok At San Jose, CA, United States

Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, ...

Senior Manager, Learning Jobs
By Core & Main At United States
Generally, 7+ years of experience in a related field. May require certification.
Manages a larger team or multiple small teams through direction of subordinate management and/or supervisory staff.
Conducts training needs analysis and develops training objectives, instructional strategies, scope, timing, resource requirements and constraints analysis to design required curriculum.
Trains, supervises, and mentors managers, specialists and/or contractors.
Advanced degree may offset less experience in some disciplines.
Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
Senior Machine Learning Engineer
By NVIDIA At Santa Clara, CA, United States
Experience with AIOps, Cybersecurity, or IT operations management domains.
Design and implement machine learning architectures to support business requirements.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
8+ years of experience building and deploying machine learning models and architectures in production environment
Knowledge of NLP and deep learning techniques.
Proven Python and deep learning programming skills using Pytorch, TensorFlow, Keras, or similar.
Senior Python Engineer - Machine Learning
By Algo Capital Group At United States
Total compensation package (base salary + bonus) up to $500,000, based on experience and qualifications.
Collaborate with the data science team to integrate fundamental data and alternative data sources into the platform.
Manipulate data sources, and build data-driven applications using SQL and Python.
Work closely with the AI and machine learning team to implement AI-driven tools and workflows.
Contribute to system design discussions and provide insights on how to improve data collection and processing.
Strong interest in Machine Learning and AI.
Senior Machine Learning Engineer
By Motion Recruitment At San Diego, CA, United States
5 years of relevant work experience
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Data Architecting (SQL and Data Warehouse)
Audio processing, voice modeling, and natural language process
An open and inclusive culture and work environment
Collaborative team on the cutting edge of AI research
Senior Machine Learning Engineer- Join Oci
By Oracle At United States
DevOps Experience/Familiarity: Containers), Linux/UNIX Shell, package management/Conda etc
Demonstrated programming abilities in Python (intermediate++)
Experience with software coding practices (unit tests, mock, logging, debugging, git, code review, etc)
Strong verbal and written communication skills
Cloud Experience with AWS, GCP, Azure, Heroku etc. highly desirable
Experience with ML frameworks such as Tensorflow and Pytorch is highly desirable
Senior Machine Learning Engineer- Fraud Detection
By SHEIN Technology LLC At San Francisco Bay Area, United States
Strong communication skills for cross-country collaboration; Strong analytical and problem-solving capabilities and a passion for solving challenging problems.
Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
Experiences with anti-fraud related machine learning projects
3+ years of experience (or 1+ years with a Ph.D. degree) in developing ML models.
Experience with Hive, Kafka, Hbase, and Apache Flink.
Develop various machine learning models and deep learning models.

Are you a Senior Machine Learning Architect looking to make an impact? We are looking for a creative and experienced professional to join our team and help us develop innovative solutions to complex problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a team of experts to create high-performance machine learning models. If you are passionate about data science and have a track record of success, we want to hear from you!

Overview A Senior Machine Learning Architect is responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. They are responsible for leading the development of machine learning solutions and providing technical guidance to the team. Detailed Job Description The Senior Machine Learning Architect is responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. They will be responsible for leading the development of machine learning solutions and providing technical guidance to the team. The Senior Machine Learning Architect will be responsible for researching and evaluating new technologies, developing and maintaining machine learning models, and creating and maintaining machine learning pipelines. They will also be responsible for developing and deploying machine learning models in production environments. Job Skills Required
• Expertise in machine learning algorithms and techniques
• Knowledge of software engineering principles and practices
• Experience with data engineering and data science
• Knowledge of cloud computing platforms
• Experience with big data technologies
• Knowledge of software development lifecycle
• Ability to work independently and collaboratively
• Strong problem-solving and analytical skills
• Excellent communication and interpersonal skills
Job Qualifications
• Bachelor’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in machine learning
• Experience with Python, R, or other programming languages
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
• Experience with big data technologies such as Hadoop, Spark, or Kafka
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Experience with data engineering and data science
• Experience with software engineering principles and practices
Job Knowledge
• Knowledge of machine learning algorithms and techniques
• Knowledge of software engineering principles and practices
• Knowledge of cloud computing platforms
• Knowledge of big data technologies
• Knowledge of software development lifecycle
Job Experience
• 5+ years of experience in machine learning
• Experience with Python, R, or other programming languages
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
• Experience with big data technologies such as Hadoop, Spark, or Kafka
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Experience with data engineering and data science
• Experience with software engineering principles and practices
Job Responsibilities
• Design, develop, and