We are looking for an AI Engineer with a strong passion for machine learning (ML), artificial intelligence (AI), and cutting-edge technologies. This role demands a minimum of 3 to 5 years of experience in AI/ML development, with a specialized focus on Python. As part of a dynamic and innovative team, the AI Engineer will play a crucial role in designing, developing, and deploying AI models and algorithms, contributing to the evolution of our products and services.

Key Responsibilities

1. AI/ML Model Development. You will design, develop, and implement AI models and algorithms, focusing on Generative AI, machine learning (ML), and Natural Language Processing (NLP). Your ability to develop state-of-the-art AI solutions will have a direct impact on enhancing the business processes and improving outcomes.
2. Cloud-Native Application Development. You will work on cloud-native applications using cloud services such as Azure, AWS, and Google Cloud Platform (GCP). This includes deploying AI/ML models using platforms like Azure ML, Azure Functions, Amazon SageMaker, App Service, Cosmos DB, and Azure Storage.
3. Generative AI and Deep Learning. You will be engaged in designing and implementing deep learning algorithms, particularly in the context of Generative AI. Your expertise in leveraging deep learning models will be pivotal in creating next-generation AI products and services.
4. Cross-functional Collaboration. You will collaborate closely with data scientists, product managers, and cross-functional teams in an agile development environment. Understanding business needs and aligning AI solutions with them will be essential to achieving successful outcomes.
5. Cloud Infrastructure Management. You will utilize cloud platforms, with a strong emphasis on Azure services, and implement infrastructure as code using tools like Terraform and ARM templates. Your expertise in setting up scalable, secure, and cost-effective cloud solutions will enable the deployment of AI models seamlessly.
6. Continuous Learning and Innovation. The AI landscape evolves rapidly, and staying updated with the latest advancements in Generative AI, machine learning, and cloud technologies is essential. You will actively participate in research and experimentation to bring the best and most innovative AI solutions to the table.
7. Code and Design Reviews. Working within an agile framework, you will engage in regular code and design reviews, fostering a collaborative and high-performance development environment. Your insights and expertise will contribute to refining the development processes and ensuring high-quality code.

Required Skills and Experience

1. Strong Proficiency in Python. As an AI Engineer, your primary programming language will be Python. Your ability to develop scalable, efficient, and production-ready code will be essential in implementing complex AI/ML models.
2. Expertise in ML Frameworks. You should have hands-on experience with popular machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. A deep understanding of these tools will allow you to implement, fine-tune, and deploy machine learning models effectively.
3. Experience with Cloud Platforms. A solid working knowledge of cloud platforms like Azure, AWS, and GCP is essential. You should be proficient in developing and deploying AI models in cloud environments and have experience with cloud-native tools and services that are designed for AI/ML workloads.
4. Experience with Infrastructure as Code. Familiarity with infrastructure as code (IaC) tools such as Terraform and ARM templates is a valuable skill, ensuring that the infrastructure for deploying AI models is efficiently managed and automated.
5. Collaboration and Agile Methodology. You should have experience working in cross-functional teams, particularly in agile environments. Strong collaboration with stakeholders such as product managers, data scientists, and business teams is essential to ensure that AI solutions meet business objectives and timelines.
6. Familiarity with the Latest AI Trends. You should keep abreast of the latest developments in the AI and machine learning fields, particularly in Generative AI, and continuously explore how these advancements can be leveraged to improve business processes.
7. Excellent Communication Skills. Effective communication is key when working with diverse teams. You will need to clearly articulate your ideas, explain complex concepts in an understandable manner, and engage in meaningful discussions to shape the direction of AI initiatives.

What We Offer

1. Exciting Work Environment. As part of a cutting-edge technology company, you will have the opportunity to work on exciting AI projects that are shaping the future of industries. You will be working in a collaborative, fast-paced, and innovative environment where your ideas and contributions are valued.
2. Growth and Learning Opportunities. We foster a culture of continuous learning and professional growth. You will have access to the latest tools, technologies, and industry insights, enabling you to enhance your skills and stay at the forefront of AI development.
3. Competitive Compensation. We offer a competitive salary package, along with additional benefits and incentives to reward your hard work and contributions.

If you are passionate about AI, machine learning, and cloud technologies and are looking to work in a collaborative and fast-paced environment, we would love to hear from you. Join us in building the next generation of intelligent systems and take your career to new heights.

Apply today and become part of an innovative team that’s pushing the boundaries of AI and machine learning.