Principal Machine Learning Engineer leading AI and Machine Learning systems at Bumble for recommendations and personalization. Driving improvements in user engagement and safety across Bumble products.
About the role
- AI/ML Engineer developing intelligent automation solutions using generative AI and machine learning technologies. Ensuring operational efficiency and continuous refinement of integrated AI/ML solutions with a focus on modern engineering.
Responsibilities
- The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies.
- They ensure the operational efficiency and continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.
- Your responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation.
- You will focus on building generative AI applications with embedded artificial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.
- Key responsibilities include designing and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures.
- Building repeatable intelligent solutions/bots for document processing and data cleansing.
- Developing and deploying scalable ML/AI models on AWS infrastructure.
- Creating API endpoints and integrations for AI/ML services.
- Implementing model evaluation, monitoring, and continuous improvement processes.
- Collaborating with cross-functional teams to embed AI capabilities across business functions.
Requirements
- Overall experience of 6-10 Years working on Application/framework development
- Min 5+ years of exp in AI/ML-based app/solution development with strong focus on generative AI applications
- Hands-on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK,Lambda, and other AI/ML services
- Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fine-tuning)
- Hands-on exp with OCR, ICR and OMR technologies is a must
- Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
- Good understanding of Document Processing, classification, data extraction is a must
- Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
- Hands-on Web application/APIs Development experience is a must
- Proficiency in asynchronous/multi-threaded programming
- Strong knowledge of algorithms, data structures, complexity, optimization, caching and security
- Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT
- Strong knowledge of object-oriented concepts and Database concepts
- Experience with databases like SQL Server, PostgreSQL
- Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
- Knowledge of AWS cloud architecture patterns and serverless computing
- Experience with CI/CD pipelines and DevSecOps practices
- Knowledge of Agile methodologies is desirable
- Experience working with a toolchain that includes TFS, SVN, Git
- Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies
Benefits
- Medical
- Dental
- Vision
- Basic Life
- Health Saving Account
- 401K Matching
- Three weeks of PTO/Sick
- 11 Paid Holidays
- Pre-Approved Online Training
Job title
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