Responsibilities
- Develop, train, and deploy machine learning models for business applications.
- Build NLP and computer vision solutions using modern AI frameworks.
- Implement data pipelines for model training and inference.
- Perform feature engineering, model evaluation, and optimization.
- Collaborate with product, engineering, and analytics teams.
- Document AI solutions and follow MLOps best practices.
Mandatory Skills
- 8+ years of AI/ML development experience.
- Strong Python programming skills.
- Experience with TensorFlow, PyTorch, Scikit-learn, and Pandas.
- Hands-on experience with LLMs, OpenAI APIs, Langchain, and RAG.
- Experience with AWS, Azure, or Google Cloud Platform.
- SQL, Git, Docker, and REST APIs.
Preferred Skills
- MLflow or Kubeflow.
- Apache Spark/PySpark.
- Vector Databases (Pinecone, ChromaDB, FAISS).
- Kubernetes.
- Snowflake or Databricks.
Industry:
AI & Machine Learning