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Urgent! AI/ML Developer Job Opening In Albuquerque – Now Hiring Stellar Science
Stellar Science is a growing Albuquerque-based scientific software development company seeking talented data science artificial intelligence (AI)/machine learning (ML) software development experts who are interested in helping create, extend, and apply exciting scientific and engineering analysis applications.
We develop custom software products in domains that include computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, computational electromagnetics (CEM), space situational awareness (SSA), high performance computing (HPC), and computer aided design (CAD) tools, among others.
Our projects employ AI/ML methods and techniques such as: surrogate modeling, deep learning, classification, and generative models.
A Stellar Science AI/ML Developer will help to develop novel AI/ML models and use AI/ML in your data analysis to help us gain new insights into experimental and simulation-based datasets by applying innovative processing, and visualization techniques.
Your goal will be to help optimize performance, accuracy, and utility of modeling and simulation systems.
Minimum Requirements:
+ B.S. in ML/AI related field such as computer science, data science, statistics, applied mathematics, physics, engineering
+ Knowledge of a variety of machine learning applications (such as clustering, classification, regression) and concepts (such as graph theory, decision trees, and neural networks), as well as their real-world advantages/drawbacks
+ Experience with Python and related data science libraries (such as pandas, NumPy, SciPy, and scikit-learn)
+ Experience with C++ development for integration into statistical and/or machine learning applications beyond academic examples
+ Experience writing programs or scripts to manipulate data and draw insights from large data sets
+ Experience with machine learning and deep learning frameworks such as PyTorch and TensorFlow
+ Strong experience using a variety of data mining/data analysis methods, building and implementing models, using/creating algorithms, and creating/running simulations
Desired:
+ M.S. or Ph.D. in Data Science or other quantitative, scientific, or engineering field, with substantial scientific analysis experience
+ 2+ years of post-doctoral or industry experience as a Data Scientist or Data Analyst
+ Experience in one or more of the following: time series analysis (such as Kalman filtering), reinforcement learning (such as Proximal Policy Optimization), instance detection (such as Mask-RCNN), robust principal component analysis, and/or physics-informed neural networks
+ Experience working within a software production environment involving C, C++, Java, and/or TypeScript.
+ Excellent written and verbal communication skills for coordinating across teams
+ Experience running simulation and analysis processes on scalable computing architectures including clusters, cloud-based services, or supercomputers.
+ Experience with version control (such as Git or SVN)
Code sample or coding evaluation required.
US citizenship required + willingness to undergo a background investigation.
Active Security Clearance is a plus.
Extremely flexible work schedule, hybrid workplace model, & generous benefits.
Positions are in or near: Albuquerque, NM, Dayton, OH, or Tysons Corner, VA (Washington DC area.)
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Unlock Your AI ML Potential: Insight & Career Growth Guide
Real-time AI ML Jobs Trends in Albuquerque, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI ML in Albuquerque, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 23065 jobs in United States and 16 jobs in Albuquerque. This comprehensive analysis highlights market share and opportunities for professionals in AI ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Stellar Science is currently hiring and seeking a AI/ML Developer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI/ML Developer Jobs Albuquerque.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Stellar Science adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI/ML Developer Jobs United States varies, but the pay scale is rated "Standard" in Albuquerque. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI/ML Developer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for AI/ML Developer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your AI/ML Developer interview at Stellar Science, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Stellar Science's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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