R&D Associate Engineer-2
Hybrid · Bengaluru, Karnataka, India
Job Summary
Assist in designing, developing, and implementing machine learning models and algorithms for various applications. Work on Generative AI projects, including natural language processing (NLP), computer vision, or generative models (e.g., LLMs, GANs). Preprocess and analyse large datasets relevant to Indian markets, such as e-commerce, healthcare, or agriculture. Collaborate with cross-functional teams to integrate AI/ML models into production environments. Working on building the MCP server and skillsets to consume data from different data sources. Conduct experiments to optimize model performance and evaluate outcomes using metrics like accuracy, precision, and recall. Stay updated with the latest advancements in AI, ML, and GenAI, and contribute ideas to improve project outcomes. Document processes, model architectures, and results for internal knowledge sharing.
Required Qualifications
- Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.
- Understanding of machine learning algorithms (e.g., regression, classification, clustering) and deep learning concepts (e.g., CNNs, RNNs, Transformers).
- Familiarity with Generative AI techniques, such as LLMs or GANs.
- Basic knowledge of data preprocessing, feature engineering, and visualization tools (e.g., Pandas, NumPy, Matplotlib).
- Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) is a plus.
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