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Machine Learning Data Engineer Jobs

Graduate Intern – Machine Learning Engineer / Data Scientist
By Gilead Sciences At Foster City, CA, United States
Ability to use problem solving skills to deduce business requirements and translate into technical solution
Excellent communication skills and the ability to transfer requirements clearly
Key Responsibilities will include, but are not limited to the following:
Build end-to-end data science and engineering solutions utilizing Artificial Intelligence and Machine Learning within a small, dynamic team.
Work cross-functionally with stakeholders in PDM and/or Gilead more broadly.
Support the team by developing innovative methods using advanced engineering and mathematical techniques
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
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.
Data Scientist - Machine Learning
By Laksan Technologies At Santa Clara, CA, United States
- Monitor and maintain deployed models, making necessary updates as data and business requirements change.
- Excellent problem-solving skills and the ability to translate business needs into technical solutions.
- Strong communication skills and the ability to work effectively in a team environment.
machine learning, data analysis, and programming
- Collect, clean, and preprocess data from various sources to create robust datasets for model development.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and potential issues in the data.
Data Scientist, Machine Learning And Rwd
By Citeline At Boston, MA, United States
Experience in working with AWS cloud environment and large databases (e.g., AWS redshift).
Proficiency in SQL. Experience with PySpark is a plus.
Experience in managing ML lifecycle using open-source tools (e.g., MLflow).
Experience with developing web apps and real-time dashboards for data science and ML using open-source tools (e.g., Streamlit).
Solid understanding of omics data and hands-on experience with analyzing such datasets.
Design, train, and evaluate survival, classification, and regression ML models using appropriate algorithms and frameworks.
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.
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
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?
Data Scientist (Machine Learning)
By The Carlyle Group At Washington, DC, United States
3 ~ 6 years of experience in a data science or machine learning role, ideally within finance or private equity setting
Strong programming skills and hands-on experience with Python (Numpy, SCipy, Pandas, Sscikit-learn, etc..)
Experience in implementing and managing ML models in production, including validation, scaling, and monitoring
Strong problem-solving skills, data and statistical analysis skills
Excellent verbal and written communication skills
Experience with MLOps tools and practices (preferred)
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
Data Scientist I (Machine Learning)
By Battelle At Columbus, OH, United States
Bachelor’s degree in Data Science or related field or an equivalent combination of education and or experience in a related field.
Experience either as an intern, a research assistant, or an applied project consultant, demonstrating capabilities in data analysis and programming
Prepares tables, graphics or software tool components using statistical/biostatistical/machine learning capabilities.
Previous experience in sequence models like RNN, LSTM, transformers, variational auto-encoders, large language models (BERT), graph neural nets
Experience in chemoinformatic and bioinformatic pipelines like RDkit and Bioconductor are a plus
Experience in AlphaFold, AlphaFoldMultimer, Rosetta and other protein folding software are a plus
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 ...

Director, Data Science And Machine Learning
By Included At United States
Prior experience in a leadership or managerial role is highly preferred.
Rapidly prototype and iterate data science solutions, aligning them with customer requirements
Extensive experience in machine learning, statistical modeling, and data science, with a focus on people-related data and analytics.
Excellent communication and interpersonal skills, fostering effective collaboration with cross-functional teams and customers.
Strong problem-solving skills and a strategic mindset.
Comprehensive health and wellness benefits (100% covered for employees and significantly discounted for family members)
Data Analyst - Machine Learning
By AltaSource Group At Portland, Oregon Metropolitan Area, United States
Knowledge of various supervised and unsupervised machine-learning techniques.
Knowledge of Classification and Clustering tasks, Natural Language Processing (NLP), and named-entity recognition (NER).
Experience with statistical data analysis and methods.
Bachelor of Science Degree in STEM (min) + four (4) years experience
Data Analyst - Machine Learning
Support research and analysis of complex unstructured and semi-structured data.
Data Analyst - Machine Learning
By AltaSource Group At United States
Knowledge of various supervised and unsupervised machine-learning techniques.
Knowledge of Classification and Clustering tasks, Natural Language Processing (NLP), and named-entity recognition (NER).
Experience with statistical data analysis and methods.
Bachelor of Science Degree in STEM (min) + four (4) years experience
Data Analyst - Machine Learning
Support research and analysis of complex unstructured and semi-structured data.
Data Scientist (Machine Learning)
By Decision Spot At Rochester, NY, United States
Communicate with clients to understand their business processes, rules, and requirements.
Determine necessary models and algorithms that meet solution requirements.
0-3 years of industry experience in analyzing large data, building visualizations, and building and deploying machine learning models.
Experience in building user-focused visualizations using tools like Tableau, PowerBI, etc.
Experience in data wrangling using SQL or similar tools.
Strong written and verbal communication skills.
Machine Learning Engineer / Data Scientist
By Ford Motor Company At United States
1+ year of Google Cloud Platform (GCP) experience, including certifications
Strong oral, written and interpersonal communication skills
Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
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
Data Scientist / Machine Learning
By Oreva Technologies, Inc. At United States
6 years Data Science, Machine Learning, Statistics, Applied Mathematics, or another highly quantitative discipline.
Building predictive models using machine learning, deep learning, simulation/process, and/or statistical models.
Python for data analysis and modeling (numpy, pandas, matplotlib, seaborn, sklearn) Big datasets, with SQL and PySpark.
Learn new quantitative domains and modeling techniques.
Translating scientific models into code.
Desired agricultural science or agricultural datasets.
Summer Internship: Data Science / Machine Learning
By Brief At San Francisco Bay Area, United States
- Experience with Large Language Models and/or Natural Language Processing
- Experience with data cleaning without affecting results
- Fully Remote but candidates should be available for sync-ups on Pacific Time
- Portfolio of past and current data science projects.
- Ability to initiate and drive projects to completion with minimal guidance
- Basic understanding of statistical analysis

Are you looking for an exciting opportunity to use your Machine Learning expertise to help build the future of data engineering? We are looking for a Machine Learning Data Engineer to join our team and help us develop innovative solutions to complex data engineering problems. You will be responsible for designing, developing, and deploying machine learning models to solve real-world problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a team of experienced data engineers. If you are passionate about data engineering and machine learning, this is the perfect opportunity for you!

An Machine Learning Data Engineer is responsible for developing, deploying, and maintaining machine learning models and data pipelines. They must have a strong understanding of data engineering principles, machine learning algorithms, and software development. They must be able to work with large datasets, build data pipelines, and develop machine learning models. They must also be able to evaluate the performance of models and optimize them for better results. Skills required for this role include programming languages such as Python, Java, and SQL; knowledge of machine learning algorithms; and experience with data engineering tools such as Apache Spark, Hadoop, and Kafka. Additionally, they must have strong problem-solving and communication skills.