DATA SCIENTIST
Austin, TX · Remote
S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras * Machine ...
DATA SCIENTIST
Austin, TX · Remote
S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras * Machine ...
Keras Remote information
What is a Keras Remote?
Keras Remote jobs are positions that involve working with Keras, a popular open-source deep learning library for Python, from a location outside of a traditional office setting. These roles may include developing machine learning models, building AI applications, or contributing to research, all while collaborating with teams remotely. Such positions are ideal for professionals with expertise in deep learning, Python programming, and remote work practices. Employers may seek candidates who can independently manage projects, communicate effectively online, and stay updated with the latest advancements in machine learning.
How does a Keras Remote role typically collaborate with data scientists and other team members to deliver machine learning solutions?
In a Keras Remote role, collaboration with data scientists, engineers, and stakeholders is often achieved through regular virtual meetings, shared documentation, and project management tools. You’ll work closely with data scientists to translate business requirements into machine learning models, iteratively train and refine models using Keras, and integrate feedback from team members. Effective communication and proactive updates are key, as remote environments rely on clear documentation and code reviews to ensure alignment. This structure fosters both independence and teamwork, allowing you to contribute meaningfully to project outcomes while leveraging the expertise of a distributed team.
What are the key skills and qualifications needed to thrive as a Keras Remote engineer, and why are they important?
To thrive as a Keras Remote Engineer, a strong background in deep learning, Python programming, and experience with neural network architectures is essential, typically supported by a degree in computer science or a related field. Familiarity with Keras, TensorFlow, cloud computing platforms, and version control systems like Git is commonly required. Excellent problem-solving, self-motivation, and effective remote communication skills help individuals excel when working independently or as part of distributed teams. These competencies ensure high-quality model development, efficient collaboration, and successful project delivery in remote AI environments.
What is the difference between Keras Remote vs Data Scientist?
| Aspect | Keras Remote | Data Scientist |
|---|---|---|
| Required credentials | Knowledge of machine learning, Python, deep learning frameworks | Degree in data science, statistics, or related field; Python, R, SQL skills |
| Work environment | Remote, often project-based, tech companies or startups | Remote or on-site, research labs, tech firms, or finance |
| Industry usage | AI development, machine learning projects | Data analysis, predictive modeling, business insights |
| Search intent | Remote AI/ML roles using Keras | Data analysis and modeling roles |
While Keras Remote focuses on machine learning model deployment and development remotely, Data Scientists work on analyzing data, building predictive models, and deriving insights, often with overlapping skills but different primary responsibilities. Both roles may work remotely and require programming skills, but their core functions differ in scope and industry focus.
What cities in Texas are hiring for Keras Remote jobs?
Cities in Texas with the most Keras Remote job openings:
Job description
Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
- Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
- Strong foundation in Python programming in a cloud environment.
- Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
- Expertise in data wrangling using SQL,
- Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
- Fluency in querying/extracting/aggregating data via SQL scripting.
- Extract, load and transform data (ETL) from structured and unstructured sources
- Apply Natural Language Processing and Computer Vision to solve business use cases,
- Strong skills in scientific data analyses, modeling, visualization and communication of results.
- Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
- Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline
Must have
- Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
- Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
- Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
- Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
- Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
- Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
- Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
- Distributed computing tools and cloud technology (AWS)
QUALIFICATIONS
- Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
At least 2 yrs of relevant experience in Data Science
SKILLS
SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse
Benefits
Competitive Salary
Paid Relocation
Remote Support
Guaranteed Regular Salary Reviews
Job Type: W2 or Contract 1099 (full-time - 40 hours)
About Adidev Technologies
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Atlanta, GA, US