Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Science, Database Design, Docker, GCP (Good Clinical Practices), Kernel Programming, Leading Edge Technology, Machine Learning, Microservices, Microsoft Windows Azure, MongoDB, NoSQL, Performance Modeling, Production Systems, Python Programming/Scripting Language, REST (Representational State Transfer), Requirements Management, Scalable System Development, Semantic Search, Statistical Algorithms, Statistical Modeling, Training Data Sets, Trend Analysis
Join Our Team as a Data Science Engineer
Are you passionate about Machine Learning and Generative AI? We are looking for a talented Data Science Engineer to join our innovative team in Aliso Viejo, CA. You'll have the opportunity to design, develop, and deploy cutting-edge AI solutions. This role offers a dynamic work environment with the flexibility to work from home, allowing you to contribute to exciting projects from the comfort of your own space.
Key Responsibilities
- Design, develop, and deploy scalable Machine Learning and Generative AI solutions using Python.
- Build and optimize prompt engineering strategies for LLM-based applications.
- Develop document extraction, parsing, preprocessing, and chunking pipelines.
- Train, evaluate, fine-tune, and monitor ML models for performance and accuracy.
- Implement embedding generation, semantic search, and RAG solutions.
- Integrate AI/ML models with vector databases and MongoDB.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Ensure code quality, scalability, security, and production readiness of deployed solutions.
- Stay current with emerging trends in AI, ML, and Generative AI technologies.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, AI, ML, or a related field.
- Expert-level proficiency in Python programming.
- Strong hands-on experience in ML model development, training, evaluation, and optimization.
- Experience with data tagging, annotation, and labeling workflows.
- Hands-on experience in document extraction, parsing, chunking, and intelligent document processing.
- Strong understanding of ML algorithms, statistical modeling, and Generative AI concepts.
- Experience working with vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS, Milvus).
- Experience with MongoDB and NoSQL databases.
- Knowledge of embeddings, semantic search, and RAG architectures.
- Experience building and deploying scalable AI applications in production environments.
Preferences
- Experience with LLM frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
- Experience with REST APIs and microservices architecture.
- Knowledge of Docker, Kubernetes, and containerized deployments.
Ready to make an impact in the world of AI? Apply now and join our team of innovators! Send your resume and cover letter to careers@example.com. We can't wait to see what you bring to our team!
Subject Line: Apply Now: Exciting Opportunity for Data Science Engineer
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Abacus Service Corporation