... networks, dimensionality reduction, reinforcement learning, etc. * Basic Knowledge of machine ... Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods We also offer ...
... networks, dimensionality reduction, reinforcement learning, etc. * Basic Knowledge of machine ... Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods We also offer ...
Guidance, Nav & Control Engineer, Sr - Orlando FL
Orlando, FL · On-site
$90.60K - $119.50K/yr
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
Guidance, Nav & Control Engineer, Sr - Orlando FL
Orlando, FL · On-site
$90.60K - $119.50K/yr
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
Guidance, Nav & Control Engineer, Sr - Orlando, FL
Orlando, FL · On-site
$42.25 - $54/hr
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
Guidance, Nav & Control Engineer, Sr - Orlando, FL
Orlando, FL · On-site
$42.25 - $54/hr
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
Guidance, Nav & Control Engineer, Sr - Orlando, FL
Orlando, FL · On-site
$42.25 - $54/hr
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
Guidance, Nav & Control Engineer, Sr - Orlando, FL
Orlando, FL · On-site
$42.25 - $54/hr
... neural networks, and other such techniques to detect targets of interest. - Evaluate system ... Bayesian inference, multi-sensor fusion, passive sensing and stereo tracking, angle-only tracking ...
Bayesian Networks information
What are the key skills and qualifications needed to thrive as a Bayesian Networks Specialist, and why are they important?
To thrive as a Bayesian Networks Specialist, you need a strong background in statistics, probability theory, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, and experience using specialized libraries like pgmpy or bnlearn, are typically required. Strong analytical thinking, problem-solving ability, and effective communication skills set standout professionals apart in this role. These competencies are crucial for designing, implementing, and interpreting Bayesian models that inform critical decision-making in complex domains.
What are some common challenges faced by professionals working with Bayesian Networks in real-world projects?
Professionals working with Bayesian Networks often encounter challenges such as handling incomplete or noisy data, defining accurate conditional dependencies, and ensuring computational efficiency for large or complex networks. Collaboration with domain experts is crucial to correctly structure the network and validate assumptions. Additionally, integrating Bayesian models with existing data systems and effectively communicating probabilistic results to non-technical stakeholders are important aspects of the role.
What are Bayesian Networks?
Bayesian Networks are probabilistic graphical models that represent a set of variables and their conditional dependencies using a directed acyclic graph. They are used to model uncertainty in complex systems by encoding relationships between variables and allowing for efficient inference and reasoning. These networks are widely applied in fields such as machine learning, diagnostics, decision support, and bioinformatics to help predict outcomes and understand causal relationships.
What is the difference between Bayesian Networks vs Data Analysts?
| Aspect | Bayesian Networks | Data Analysts |
|---|---|---|
| Required Credentials | Statistics, Data Science, Computer Science degrees; certifications in probabilistic modeling | Statistics, Data Science, Business Analytics degrees; certifications in data analysis tools |
| Work Environment | Research, modeling, and algorithm development in tech or research firms | Data interpretation, reporting, and visualization across various industries |
| Industry Usage | Used for probabilistic reasoning, decision support, and machine learning | Used for data interpretation, reporting, and business insights |
Bayesian Networks focus on probabilistic modeling and decision-making algorithms, often requiring advanced statistical knowledge. Data Analysts primarily interpret and visualize data to inform business decisions. While both roles involve data, Bayesian Networks are more technical and model-driven, whereas Data Analysts focus on data interpretation and reporting.
What are popular job titles related to Bayesian Networks jobs in Florida? For Bayesian Networks jobs in Florida, the most frequently searched job titles are:
- Machine Learning Engineer
- Machine Learning Specialist
- Senior Machine Learning Engineer Biotech
- Freelance Machine Learning Data Annotation
- Machine Learning Scientist
- Deep Learning Engineer
- Remote Machine Learning Engineer
- Manager Remote Machine Learning Engineer
- Remote Prototype Machinist
- Scientific Machine Learning
What job categories do people searching Bayesian Networks jobs in Florida look for? The top searched job categories for Bayesian Networks jobs in Florida are:
What cities in Florida are hiring for Bayesian Networks jobs? Cities in Florida with the most Bayesian Networks job openings:
Other
This job post has expired 1 day ago. Applications are no longer accepted.
Job description
Job Opportunity
We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.
Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists.
What You'll DoAs a member of the growing Data Science and Machine Learning (Client) Engineering team in Bain's Advanced Analytics Group, you will:
- Provide technical expertise for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
- Develop statistical/Client models to be handed over to clients as prototype or production software
- Transform existing prototype code into scalable, production-grade software
- Write, test, deploy and maintain machine learning code across the full software development lifecycle
- Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common Client engineering problems across industries and business functions
- Drive best demonstrated practices in software engineering, and share learnings with team members in SynergisticIT about theoretical and technical developments in Client engineering
- 0-3 years of engineering experience
- Proficient knowledge of Python and SQL
- Proficiency in one or more of R, Java, C++, Scala, Django
- Fair understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
- Basic understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
- Basic Knowledge of machine learning frameworks and tools (e.g. Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface)
- Basic Knowledge of probabilistic programming techniques and associated tools (e.g. Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods
We also offer optionally skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then you should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours.
Please apply to the posting or share your updated resume at manav@synergisticit.com
No phone calls please. Shortlisted candidates would be reached out.