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Senior Data Engineer Machine Learning 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
Machine Learning Data Engineer
By Wurl At United States
Collaborate with project managers, product managers, solutions architects, other engineering teams and support for productization of new software services and features
4+ years of complete software lifecycle experience
Experience tuning, debugging and deploying serverful distributed systems
Experience deploying, operating and tuning PySpark and Spark SQL
Experience designing and securing distributed data pipelines
Experience deploying and utilizing AWS cloud services
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 
Machine Learning Engineer - Applied Modeling - Data Technologies
By Bloomberg At New York, NY, United States
Exceptional problem-solving skills and the ability to translate complex business requirements into effective machine learning solutions.
4+ years of experience with an object-oriented programming language such as Java or Python.
Master's or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
Experience using Apache Spark and other distributed data processing technologies
Experience working with and analyzing large-scale datasets and time series data.
Opportunity to drive impactful projects that directly influence financial markets and investment strategies.
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.
Associate Data Engineer- Machine Learning
By Disney At , Seattle $89,298 - $119,790 a year
1+ years of experience in machine learning and related space.
Strong programming skills in Python, Java, or R.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Experience with data analysis tools such as Pandas or NumPy.
Work closely with Business, Product and Data teams to define problem statements.
Designing and developing machine learning systems and algorithms.
Senior Staff Machine Learning Engineer, Applied Science
By Pinterest At , Remote
Experience in research and in solving analytical problems
8+ years working experience in the r&d or engineering teams that build large-scale ML-driven projects
3+ years experience leading cross-team engineering efforts that improves user experience in products
Strong publication track record and industry experience in shipping machine learning solutions for large-scale challenges
Information regarding the culture at Pinterest and benefits available for this position can be found
Lead cutting-edge research in machine learning and collaborate with other engineering teams to adopt the innovations into Pinterest problems
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
Data Scientists – Machine Learning
By Brielle Technologies At , Alpharetta $60 - $70 an hour
Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
4+ years of experience with Hadoop, Data Warehousing and Teradata SQL
3+ years of experience with distributive computing tools (Spark, Hive, etc.)
7+ years of experience with programming languages (Java, Python, or Scala)
2+ years of experience with machine learning techniques
2+ years of experience as a digital/data analyst
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
Machine Learning Engineer / Data Scientist
By Ford Motor Company At , Dearborn, 48124, Mi
1+ year of Google Cloud Platform (GCP) experience, including certifications
Strong oral, written and interpersonal communication skills
Legal or regulatory domain experience
5+ years of experience, including both full-time work and research/academia experience, in mathematical programming, data mining, statistical analysis, and/or machine learning
Experience in one or more of the following domains: NLP, forecasting algorithms, large scale optimization, and deep learning
The minimum requirements we seek:
Data Science -- Machine Learning
By Jobot At Washington, DC, United States
4+ years of experience working as a data scientist or equivalent role.
Demonstrated experience in Artificial Intelligence and Machine Learning/Deep Learning algorithms.
Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related field.
Proficient with 2 or more of the following programming languages Python, R, C#, Java, SQL, Scala
Expertise in data extraction, transformation, and loading, data visualization, and data reporting.
Want to learn more about this role and Jobot?
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
Full Time Junior Data Science / Machine Learning Support Engineer -- Remote
By Visionary Innovative Technology Solutions LLC At United States
This role is flexible in that you can work from home.
• Thorough troubleshooting, debugging, and problem-solving skills
Azure, AWS cloud development experience
Experience in one or more of these areas desirable
• Excellent C/C++ coding skills
• Excellent communication skills with both written and spoken English
Senior Data Scientist / Machine Learning Expert - East Coast, Us
By BioLizard At Boston, MA, United States
3+ years of industry experience
Extensive experience in advanced data analytics and Machine Learning
Experience working with clinical data is a plus (patient diagnostics, clinical trials,...)
Software development skills are a plus
Knowledge or background in life sciences is considered an advantage
Fluent in English, with good communication skills
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.
Machine Learning Research Engineer (Dept: Data & Ml Innovation Us)
By Apple At New York, NY, United States

Summary Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have ...

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

Are you an experienced Senior Data Engineer looking to take your career to the next level? We are looking for a Senior Data Engineer with a passion for Machine Learning to join our team and help us develop innovative solutions to challenging problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a team of experts to create data-driven solutions that will have a real-world impact. If you are excited by the prospect of working on complex problems and pushing the boundaries of what is possible, then this is the job for you!

Overview:

Senior Data Engineer Machine Learning is a highly skilled professional who is responsible for designing, developing, and maintaining data systems and machine learning models. They are responsible for creating and managing data pipelines, developing machine learning models, and ensuring data accuracy and integrity. They must also have a deep understanding of data engineering principles and techniques.

Detailed Job Description:

Senior Data Engineer Machine Learning is responsible for designing, developing, and maintaining data systems and machine learning models. They must have a deep understanding of data engineering principles and techniques, and be able to create and manage data pipelines. They must also be able to develop machine learning models, and ensure data accuracy and integrity.

What is Senior Data Engineer Machine Learning Job Skills Required?

• Expertise in data engineering principles and techniques
• Experience with data pipelines and machine learning models
• Knowledge of data analysis and data visualization tools
• Ability to develop and maintain data systems
• Knowledge of programming languages such as Python, R, and SQL
• Ability to troubleshoot and debug data systems
• Excellent communication and problem-solving skills

What is Senior Data Engineer Machine Learning Job Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering and machine learning
• Expertise in data engineering principles and techniques
• Experience with data pipelines and machine learning models
• Knowledge of data analysis and data visualization tools
• Ability to develop and maintain data systems
• Knowledge of programming languages such as Python, R, and SQL
• Ability to troubleshoot and debug data systems
• Excellent communication and problem-solving skills

What is Senior Data Engineer Machine Learning Job Knowledge?

• Knowledge of data engineering principles and techniques
• Knowledge of data analysis and data visualization tools
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of machine learning models and algorithms
• Knowledge of data security and privacy

What is Senior Data Engineer Machine Learning Job Experience?

• 5+ years of experience in data engineering and machine learning
• Experience with data pipelines and machine learning models
• Experience with developing and maintaining data systems
• Experience with troubleshooting and debugging data systems

What is Senior Data Engineer Machine Learning Job Responsibilities?

• Design, develop, and maintain data systems and machine learning models
• Create and manage data pipelines
• Develop machine learning models
• Ensure data accuracy and integrity
• Troubleshoot and debug data systems
• Monitor data systems performance
• Analyze data and identify