Salary
💰 $180,000 - $200,000 per year
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonSQL
About the role
- Conduct research, design, and develop generative AI-driven features and experiences customized to user preferences and behaviors
- Utilize machine learning, natural language processing (NLP), computer vision, and other AI methodologies to improve product functionality
- Collaborate with cross-functional teams to integrate AI capabilities into existing products and develop new AI-powered solutions
- Work closely with product designers to define requirements, prioritize features, and craft intuitive user interfaces for AI-powered features
- Implement, test, and deploy scalable machine learning solutions in production
- Stay current with the latest advancements in machine learning and artificial intelligence
Requirements
- 4+ years experience in Machine Learning
- Minimum of 2 years of hands-on experience in developing Agentic, LLM and NLP based applications
- Proficient in machine learning, deep learning, and generative AI techniques
- Experience with data preprocessing, feature engineering, and model evaluation techniques
- Proficiency in Python and SQL
- Strong understanding of software development methodologies, including agile development practices, version control systems, and CI/CD pipelines for ML
- Experience in applying supervised, unsupervised or reinforcement learning paradigms to business problems
- Proven track record of deploying AI models in production
- Experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies (Docker, Kubernetes)
- Strong problem-solving skills
- Excellent communication and collaboration skills
- Will consider candidates who graduated in 2022 or earlier and have 2 to 4+ years of professional experience; will not consider 2023 or later graduates or applicants who do not meet these criteria