Machine Learning and Generative AI Engineer, Digital Transformation
Boston, MA, United States
USD 125K-188K (estimate) Mid-level Full Time
Tasks
- Architect build maintain genai applications
- Automate machine learning pipelines
- Build genai guardrails compliance workflows
- Collaborate on web and mobile product features
- Create sandbox environments for experimentation
- Debug and resolve production issues
- Develop templates guides and onboarding support
- Enforce validation testing for genai releases
- Establish reusable frameworks for model lifecycle
- Implement logging, tracing, alerting
- Mentor team members on production machine learning code
- Monitor performance and costs
- Optimize models with parameter efficient methods
- Prototype solutions to improve business value
- Track algorithmic performance kpis
Perks/Benefits
- Medical/Dental/Vision insurance
- Mental health resources
- Paid time off
- Parental leave
- Professional development
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
AWS | AWS Step Functions | Apache Airflow | Apache Kafka | Apache Spark | Azure | Bias Mitigation | Bias detection | CI/CD | Code review | Deep learning | Efficient Fine Tuning | Embeddings | Fine Tuning | GCP | GPU Computing | Langchain | Langgraph | Language Processing | Linux | LoRA | Machine Learning | Model chaining | NLP | Natural Language | Natural Language Processing | NoSQL | PEFT | Parameter efficient fine-tuning | Pinecone | Prefect | Prompt engineering | PyTorch | Python | QLoRA | Qdrant | RAG | Relational databases | Retrieval-Augmented Generation | SFT | SQL | Self-Attention | Step Functions | TensorFlow | Transformer Architecture | Unit Testing | Vector Databases | Weaviate
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
Cities
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