Associate – AI/ML Innovation Engineer
Tasks
- Apply MLOps and software engineering best practices
- Build LLM-powered assistants
- Build NLP semantic search pipelines
- Build agentic workflows
- Build forecasting and optimization models
- Build real time AI APIs dashboards and backend services
- Contribute to scalable AI ML infrastructure
- Develop anomaly detection models
- Develop retrieval-augmented generation pipelines
- Extract and classify insights from unstructured documents
- Implement data ingestion transformation and feature engineering
- Implement prompt engineering
- Participate in code reviews and design discussions
- Summarize document content
- Translate business needs into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Apache Airflow | Autogen | Azure | CI/CD | Chroma | Classification | Cloud platform | Clustering | CrewAI | Data Pipelines | Databases | Databricks | Docker | ELT | ETL | Faiss | Feature Engineering | GenAI | Google Cloud | Google Cloud Platform | Huggingface | Kubeflow | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | NumPy | OpenAI | Pandas | Pinecone | Prompt engineering | PySpark | Python | REST API | React | Regression | SQL | Series forecasting | Streamlit | Time Series | Time Series Forecasting | Tokenization | Transformers | Vector Databases | Weaviate | Word Embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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