Net2Source (N2S)
1 week ago Be among the first 25 applicants
This range is provided by Net2Source (N2S). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $85,000.00/yr - $125,000.00/yr
Education and Experience Required
Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
Typically 4-7 years' experience.
Knowledge and Skills
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning. Proficient in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics.
A strong foundation in mathematics and statistics. In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts. Understanding and developing complex machine learning models and algorithms.
Proficiency in programming languages such as Python, R, or Java is expected. Experience developing production‑level code and familiarity with software engineering best practices, version control systems (e.g., Github), and software development methodologies are also required. Additionally, knowledge of libraries and frameworks like TensorFlow, PyTorch, sci‑kit, and Keras is a plus.
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies.
Experience in Cloud Infrastructure (AWS, Azure, etc).
Knowledge of Open Source, Linux, etc.
Understanding of Devops, SRE.
Advanced knowledge and experience in deep learning. Understanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning.
Actively staying updated with the latest AI and machine learning research advancements. Experience conducting research, exploring emerging technologies, and identifying opportunities to apply state‑of‑the‑art techniques to solve complex problems.
Must have excellent communication skills to collaborate with cross‑functional teams and stakeholders effectively. Possess strong problem‑solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges.
Additional Skills
Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
Seniority level Seniority level:
Mid-Senior level
Employment type Employment type:
Full-time
Job function Job function:
Other
Industries Industries:
IT Services and IT Consulting
Referrals increase your chances of interviewing at Net2Source (N2S) by 2x
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Aguadilla, Puerto Rico .
Software Operations Development Engineer We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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This range is provided by Net2Source (N2S). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $85,000.00/yr - $125,000.00/yr
Education and Experience Required
Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
Typically 4-7 years' experience.
Knowledge and Skills
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning. Proficient in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics.
A strong foundation in mathematics and statistics. In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts. Understanding and developing complex machine learning models and algorithms.
Proficiency in programming languages such as Python, R, or Java is expected. Experience developing production‑level code and familiarity with software engineering best practices, version control systems (e.g., Github), and software development methodologies are also required. Additionally, knowledge of libraries and frameworks like TensorFlow, PyTorch, sci‑kit, and Keras is a plus.
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies.
Experience in Cloud Infrastructure (AWS, Azure, etc).
Knowledge of Open Source, Linux, etc.
Understanding of Devops, SRE.
Advanced knowledge and experience in deep learning. Understanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning.
Actively staying updated with the latest AI and machine learning research advancements. Experience conducting research, exploring emerging technologies, and identifying opportunities to apply state‑of‑the‑art techniques to solve complex problems.
Must have excellent communication skills to collaborate with cross‑functional teams and stakeholders effectively. Possess strong problem‑solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges.
Additional Skills
Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
Seniority level Seniority level:
Mid-Senior level
Employment type Employment type:
Full-time
Job function Job function:
Other
Industries Industries:
IT Services and IT Consulting
Referrals increase your chances of interviewing at Net2Source (N2S) by 2x
Get notified about new Machine Learning Engineer jobs in
Aguadilla, Puerto Rico .
Software Operations Development Engineer We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr