Senior Platform Engineer, Machine Learning
Fieldguide- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates should possess a strong background in Artificial Intelligence/Machine Learning, with experience in developing and deploying real-world ML applications such as Computer Vision and Classification. They should have a foundational understanding of generative models like LLMs and prompt engineering, including RAG and vector databases. Furthermore, candidates must demonstrate proficiency in ML frameworks, shell scripts, databases, and programming languages, along with hands-on experience in configuring MLOps on cloud platforms like AWS, Azure, and GCP.
As a SDE 2, Machine Learning Engineer, the individual will be responsible for designing and developing new AI-powered products to align with the product roadmap, building AI and GenAI solutions using existing frameworks and pre-trained models, and translating emerging technologies like GenAI into innovative, practical solutions. They will also be tasked with optimizing model and system performance, collaborating with cross-functional teams to demonstrate the impact of ML innovations, conducting research to stay abreast of SOTA and industry trends, and creating proof of concepts to validate potential solutions.
Communication solutions for employee engagement
Poppulo focuses on enhancing communication between businesses and their key audiences, including customers and employees. The company offers solutions that facilitate effective communication, recognizing it as a fundamental human need. Poppulo's products are designed to help organizations create meaningful connections and improve workplace experiences. Unlike many competitors, Poppulo emphasizes the importance of people in its approach, aiming to foster a more informed and connected world. The company's goal is to empower its customers to achieve impactful communication that leads to positive results.