Full Stack AI & ML Engineer - Remote | WFH

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Job Overview

As a Full Stack AI & ML Engineer at Get It Recruit - Information Technology, you will play a pivotal role in designing, developing, and deploying innovative AI and machine learning solutions. This position involves collaborating with cross-functional teams to integrate advanced technologies into our products while enhancing user experiences. You will be responsible for end-to-end development, from conceptualization to implementation, ensuring that our solutions are scalable, efficient, and aligned with industry standards.

Job Responsibilities

• Design and develop full-stack applications utilizing AI and ML frameworks.
• Collaborate with product managers and stakeholders to gather requirements and provide technical solutions.
• Implement efficient algorithms and models to improve performance and accuracy of AI solutions.
• Conduct code reviews and mentor junior engineers to uphold high coding standards.
• Deploy, monitor, and maintain machine learning models in production environments.
• Research and evaluate new technologies and frameworks to enhance development processes.
• Ensure applications are responsive, scalable, and secure by conducting thorough testing.
• Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong foundation in AI and machine learning principles and methodologies.
• Proficiency in programming languages such as Python, Java, or JavaScript.
• Experience with front-end technologies including HTML, CSS, and frameworks like React or Angular.
• Familiarity with back-end frameworks such as Node.js or Django.
• Understanding of databases (SQL and NoSQL) and their management.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) for deploying applications.
• Excellent problem-solving skills and the ability to work independently.

Technologies & Tools

The ideal candidate will be proficient with a range of technologies and tools that facilitate their day-to-day activities. This includes programming languages like Python and JavaScript, machine learning libraries such as TensorFlow and PyTorch, front-end frameworks like React or Vue.js, and back-end technologies including Node.js and Express. Familiarity with cloud services, particularly AWS, Azure, or Google Cloud Platform, is also essential for deploying scalable applications. Additionally, knowledge of relational and non-relational databases will empower the engineer to develop robust data-driven applications.

Ideal Candidates

The ideal candidates for this position are those who demonstrate a strong blend of technical expertise in both AI/ML and full-stack development. They are innovative thinkers with a passion for problem-solving and continuous learning. Strong communication skills and the ability to work collaboratively in a team setting are essential, along with a proactive approach to tackling projects. Candidates should exhibit a commitment to quality and detail in their work, thriving in a dynamic and fast-paced environment.