Sr. IT Developer

At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.

Consider applying here, if you want to:   

• Work in an entrepreneurial and dynamic environment with a chance to make an impact.   
• Develop lasting relationships with great people.   
• Have the opportunity to build a satisfying career.

We offer competitive compensation and benefits packages for our Team Members.

Sr. IT Developer

We are seeking a results-driven Senior Developer with expertise in AI/ML and Full Stack Development to lead the end-to-end delivery of intelligent, scalable software solutions. In this hybrid role, you will manage the full development lifecycle of AI-powered applications and web systems, collaborating across teams to translate business requirements into technical solutions. You will be responsible for project planning, resource allocation, and ensuring timely delivery aligned with strategic goals. This role demands a unique blend of technical depth in AI and full stack engineering, combined with strong project management and stakeholder communication skills.

• Project Planning: Define project scope, objectives, and deliverables. Develop detailed project plans, including timelines, resource allocation, and risk management strategies.
• Stakeholder Management: Identify and engage with key stakeholders to gather requirements, provide regular updates, and address any concerns or issues that arise during the project lifecycle.
• Resource Allocation: Allocate resources effectively to ensure project milestones are met. Coordinate with cross-functional teams to ensure the availability of necessary resources.
• Progress Monitoring: Track project progress against the plan, identify potential risks or issues, and implement corrective actions as needed to ensure timely delivery.
• Quality Assurance: Ensure that project deliverables meet quality standards and align with business objectives. Conduct regular reviews and testing to maintain high-quality outputs.
• Documentation and Reporting: Maintain comprehensive project documentation, including project plans, status reports, and meeting minutes. Provide regular updates to stakeholders and senior management.
• Effectively communicate with business users using strategies like communicating scenarios (hypothetical users) & end-to-end product experiences.
• Assist in requirement gathering by interactively prototyping low fidelity & high-fidelity wireframes with business users.
• Synergize with other internal teams such as brand, graphic design teams to integrate company’s brand into digital assets & products.
• Team Leadership: Lead and motivate project teams, providing guidance and support to ensure successful project execution. Foster a collaborative and productive team environment.
• Solution Design: Collaborate with stakeholders to understand business requirements and translate them into solutions. Identify suitable algorithms, models, and techniques to solve specific problems effectively.
• Model Development: Develop, implement, and evaluate machine learning models and algorithms. This includes data preprocessing, feature selection, model training, hyperparameter tuning, and performance evaluation.
• Data Analysis: Analyze and explore large datasets to identify patterns, trends, and insights that can drive decision-making and improve models. Apply statistical techniques and data visualization methods to interpret and present findings.
• Software Development: Write clean, efficient, and scalable code to implement AI/ML models and algorithms. Apply testing best practices – unit & integration testing. Collaborate with software engineers to integrate AI/ML solutions into existing applications and platforms.
• Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, engineers, and product managers. Provide technical guidance and mentorship to junior team members, fostering their professional growth.
• Research and Innovation: Stay updated with the latest advancements in technologies, tools, and methodologies. Conduct research and experiments to explore new approaches and improve existing models.
• Ethical and Legal Considerations: Ensure compliance with ethical standards and legal requirements when dealing with sensitive data, privacy concerns, and potential biases in AI/ML models.
• Please note that this job description is not designed to contain a comprehen