Associate – AI/ML Innovation Engineer
Tasks
- Build LLM powered copilots
- Build NLP pipelines for semantic search
- Build REST APIs
- Build forecasting and optimization models
- Collaborate with business partners on technical specifications
- Create agentic workflows
- Create dashboards
- Develop RAG pipelines
- Develop anomaly detection models
- Develop real time AI backend services
- Extract classify query document insights
- Implement prompt engineering
- Ingest transform structure and unstructured data
- Perform code reviews
- Perform feature engineering
- Summarize unstructured documents
- Support MLOps best practices
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Algorithms | Anomaly Detection | Apache Airflow | Autogen | Azure | CI/CD | Chroma | Classification | Clustering | CrewAI | Data Structures | Databricks | Docker | ELT | ETL | Embeddings | Faiss | GenAI | Google Cloud | Kubeflow | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | NumPy | Object-Oriented | Object-oriented programming | Pandas | Pinecone | Prompt engineering | PySpark | Python | REST APIs | React | Regression | Retrieval-Augmented Generation | SQL | Series forecasting | Streamlit | System design | Time Series | Time Series Forecasting | Tokenization | Transformers | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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