Headquartered in Irvine, California, EBizCharge by Century Business Solutions specializes in developing integrated payment solutions that facilitate electronic payment processing within ERP, CRM, Mobile, and eCommerce applications. Our applications are PCI compliant and fully integrated with major ERP/accounting systems, including QuickBooks, Sage, SAP Business One, Microsoft Dynamics, NetSuite, Epicor, Acumatica, and major online shopping carts, including Magento and WooCommerce. EBizCharge offers its employees unlimited earning potential, career advancement opportunities, and a dynamic work environment.
As an AI Developer, you will be responsible for designing, developing, and implementing cutting-edge artificial intelligence solutions. Your expertise in AI algorithms, machine learning, and data analysis will play a crucial role in delivering intelligent systems that solve complex business challenges. You will be responsible for ensuring the successful integration of AI models into our existing systems and drive business growth through AI technologies.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in computer science, Artificial Intelligence, or a related field is required.
• 5+ years of experience in applying AI to practical and comprehensive technology solutions.
• 5+ years of experience in data science.
• Experience with ML, deep learning, TensorFlow, Python, NLP.
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns.
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced experience in pattern recognition and predictive modeling.
• Experience with Power BI and SQL.
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
• Proficiency in AI and machine learning algorithms.
• Expertise in programming languages such as Python, C#, and R.
• Strong knowledge of data structures and algorithms.
• Understanding of deep learning architectures such as CNNs, RNNs, and LSTMs.
• Ability to design and implement AI-based solutions.
• Proficiency in data analysis and interpretation.
• Experience with big data technologies like Hadoop, Spark, or Hive.
• Knowledge of cloud platforms like Azure, AWS, or Google Cloud.
• Familiarity with AI applications in retail and finance.
• Experience with Azure cloud environment.
• Strong problem-solving and analytical skills.
• Knowledge of customer segmentation and targeted marketing strategies.
• Understanding of AI applications for fraud detection.
• Familiarity with AI-based recommendation systems.
• Knowledge of predictive analytics and its applications.
• Understanding of AI ethics and responsible AI practices.
• This role is open to remote candidates that are NOT located in the Southern California region. For local candidates, this position is fully onsite Monday-Friday.

• Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy.
• Understand company and client challenges and how integrating AI capabilities can help lead to solutions.
• Lead cross-functional teams in identifying and prioritizing key areas where AI solutions can drive significant business benefit.
• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership.
• Manage a team in conducting assessments of the AI and automation market and competitor landscape.
• Delivering feedback and enabling team members to make necessary changes in product performance or presentation.
• Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products.
• Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns and interpret data with clear objectives in mind.
• Implement analytical models in production by collaborating with software developers and machine-learning engineers.
• Model, build, and test AI software to ensure it can take on large swaths of data and achieve desired results.
• Use AI analysis to make strategy recommendations that align with company goals.
• Stay current on AI knowledge, trends, and regulations.
• Collect, organize, and present progress with team leadership and stakeholders.
• Integrate AI models into production systems.