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AI Developer

C1
πŸ‡ΊπŸ‡Έ United States – Remote
Full-time
$125K–$157K
Estimated
Remote
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Required Skills

⏰ Full Time
🟑 Mid-level
🟠 Senior
πŸ€– AI Engineer
Apache
AWS
Azure
Cloud
Cyber Security
Docker
Hadoop
Java
Kubernetes
Python
PyTorch
Scikit-Learn
Spark
SQL
Tensorflow
VMware
πŸ¦… H1B Visa Sponsor
ERP
GraphQL
Oracle
RPA
JavaScript
Postgres
SDLC
Svelte
TypeScript
Google Cloud Platform
Keras
Microservices
PySpark
Terraform
NoSQL
Go
Machine Learning
Deep Learning
Rag
Transformers
R
C++
Pytorch
Scikit-learn
Hugging Face
Data Science
Excel
Sql
Apache Spark
Aws
Google Cloud
Research
Communication

Job Description

<h3>πŸ“‹ Description</h3> β€’ Responsible for designing, developing, and deploying AI models and systems that drive meaningful outcomes. β€’ Collaborate with cross-functional teams to identify opportunities for automation, optimization, and innovation. β€’ Design, develop, and train machine learning and deep learning models for various applications. β€’ Preprocess, analyze, and visualize large datasets to extract actionable insights. β€’ Integrate AI models into existing software architectures. β€’ Stay current with the latest AI research and trends; propose and implement innovative solutions. β€’ Work closely with product managers, data scientists, and software engineers. β€’ Develop rigorous testing methodologies to evaluate performance and reliability of AI systems. β€’ Maintain documentation of models, experiments, and code. <h3>🎯 Requirements</h3> β€’ Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning, or a related field. β€’ Proven experience in developing and deploying AI/ML models in a production environment. β€’ Proficiency in programming languages such as Python, Java, or C++. β€’ Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). β€’ Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop). β€’ Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. β€’ Demonstrated experience using Hugging Face tools such as the Transformers library, Datasets, and Tokenizers. β€’ Strong problem-solving abilities with a keen attention to detail; ability to work with large datasets and extract meaningful insights. β€’ Excellent verbal and written communication skills; ability to clearly explain complex technical concepts to non-technical stakeholders. <h3>πŸ–οΈ Benefits</h3> β€’ 401(k) Plan (35% employer match per dollar up to 10% employee contribution) β€’ Medical Coverage (3 platforms: UnitedHealthcare, Reference Based Pricing includes comprehensive member advocacy; and Kaiser) β€’ HSA with + Employer Contribution β€’ In-vitro Fertility (treatment coverage) β€’ Dental β€’ Vision (2 plans: 12-month and 24-month frames allowance) β€’ FSA Plans (Healthcare, Dependent care and Limited Purpose) β€’ Pre-tax Commuter Plans β€’ Employer-paid Life Insurance β€’ Employer-paid Short + Term Disability β€’ Long Term Disability (2 plans: Employer-paid and Self-paid with non-taxable claim payments) β€’ Paid Parental Leave (4 weeks at 100%) β€’ Employee Assistance Plan β€’ Voluntary Life Insurance β€’ Legal/ID Theft Plans β€’ TeleHealth Options β€’ Wellness via Omada Health (healthy living solution) β€’ Travel Assistance β€’ Business Travel Accident Coverage β€’ Employer-paid Pet Telehealth β€’ Accident Insurance β€’ Critical Illness Insurance β€’ Hospital Indemnity Insurance β€’ Volunteer Time Off β€’ On Demand Pay (Daily Pay)

Job Details

Employment Type

Full-time

Salary Range

$125K–$157K

Estimated

Location

πŸ‡ΊπŸ‡Έ United States – Remote

Remote Work

Remote Friendly