Develop, implement, and optimize machine learning models to enhance products and solutions.
Requirements
- 1+ years of hands-on experience in machine learning and AI model development.
- Strong understanding of machine learning concepts, algorithms, and techniques.
- Proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-Learn, etc.).
- Experience with deep learning frameworks such as TensorFlow, PyTorch, and HuggingFace.
- Familiarity with NLP libraries like SpaCy, Gensim, or transformers is a plus.
- Familiarity with Agentic AI Framework such as Langchain, Langgraph, Llama index,etc (Would be a Plus point).
- Knowledge of model deployment techniques and tools (FastAPI, Python asyncio).
Responsibilities
- Develop and deploy machine learning models in real-world applications.
- Improve and optimize existing machine learning models for better performance and scalability.
- Collaborate with cross-functional teams to gather data, understand requirements, and implement AI solutions.
- Research and stay updated with the latest trends in machine learning and AI technologies.
- Contribute to the development of tools and frameworks for machine learning model training, evaluation, and deployment.
- Write clean, maintainable, and efficient code to support machine learning workflows.
- Document processes and results for future reference and knowledge sharing.
Other
- Collaborate with cross-functional teams to gather data, understand requirements, and implement AI solutions.
- Strong analytical and problem-solving skills, with attention to detail.
- Ability to work effectively in a team environment and communicate complex ideas clearly.
- A passion for learning and adapting to new technologies and methodologies.
- Office Time: 12pm - 09pm
