
Machine Learning Engineer
3 weeks ago
- 6+ years of professional experience in full-stack or backend development, with at least 5 years of recent hands-on experience working with Python and AI/ML-powered applications.
- Strong understanding of ML/NLP concepts, especially in areas such as text classification, summarization, and conversational AI.
- Proficiency working with Langchain, AWS Bedrock, OpenAI APIs, Hugging Face, and Vector Databases (e.g., Pinecone, FAISS, Weaviate, etc.).
- Experience with AWS services (especially Lambda, S3, Bedrock, Transcribe) in a SaaS or cloud-native environment.
- Solid experience in integrating AI features with frontend applications (React or similar).
- Ability to design clean, scalable APIs and integrate ML models into production systems.
- Exposure to data pipelines and unstructured text processing is a plus.
- Strong problem-solving, communication, and collaboration skills.
- Bachelor's or Master's degree in Computer Science or related field.
Preferred Tech Stack:
- Languages/Frameworks: Python, JavaScript, Node.js
- AI/ML/NLP: OpenAI, Langchain, Hugging Face, AWS Bedrock, AWS Transcribe
- Frontend: React
- Databases: Vector DBs (Pinecone, FAISS, Milvus), MongoDB, PostgreSQL
- Cloud: AWS (Lambda, S3, Bedrock, API Gateway, Transcribe)
- Tools: Git, CI/CD, Docker, Terraform
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