AI/Applied ML Engineer

Role : AI Engineer / Applied ML :

Join our innovative team as an AI Engineer/Applied ML Engineer, where you will be at the forefront of developing and deploying cutting-edge AI solutions. In this role, you will collaborate closely with data scientists, software engineers, and product managers to translate complex business problems into tangible AI-driven applications. Your work will directly impact our customers by enhancing product features, automating processes, and driving data-informed decision-making, ultimately contributing to significant business growth and improved user experiences.

Key Responsibilities :

- Design, develop, and deploy machine learning models and AI solutions using frameworks like TensorFlow and PyTorch to address specific business needs.

- Build and maintain scalable and robust data pipelines for model training, validation, and deployment, ensuring data quality and accessibility.

- Collaborate with cross-functional teams to define project requirements, develop implementation plans, and deliver AI solutions that align with business objectives.

- Evaluate and fine-tune model performance, ensuring accuracy, efficiency, and reliability in real-world applications.

- Research and implement state-of-the-art AI techniques, including Generative AI and LLMs, to continuously improve our AI capabilities.

- Deploy and manage AI models on cloud platforms, optimizing for performance, scalability, and cost-effectiveness.

- Contribute to the development of AI infrastructure and tools to streamline the AI development lifecycle.

Required Skillset :

- Demonstrated ability to design, develop, and deploy machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and scikit-learn.

- Proven experience in building and maintaining data pipelines for model training and deployment, ensuring data quality and accessibility.

- Strong understanding of deep learning architectures, including CNNs, RNNs, and transformers, and their applications in various domains.

- Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying and managing AI models at scale.

- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

- Ability to adapt to a dynamic work environment and contribute to multiple projects simultaneously.

(ref:hirist.tech)