Artificial Intelligence/Machine Learning Engineer
1 month ago
Role : AI/ML Engineer.
Requirements :
- Data extraction, retrieval & summarization using LLMs.
- Knowledge about graph.
- Integrating RAG and implementing efficient vectorization.
- Optimizes LLM API calls for specific querying tasks.
- Knows LLM API optimization techniques like time to first token, time between token, retry, error handling etc.
- Knows about prompt engineering.
- Hands-on exp on fast api with python.
- Knowledge on react framework and how PWA works.
- Fine tuning LLM calls, nice to have.
- Minimum 5 years of experience in machine learning engineering and AI development.
- Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc.
- Solid experience in natural language processing (NLP) language models, text generation, sentiment analysis, etc.
- Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc.
- Hands-on experience developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.
- Experience in MLOps and ML model deployment pipelines.
- Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc.
- Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment.
- Experience with data processing, feature engineering, and model training on large datasets.
- Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation.
- Understanding of software engineering best practices and applying them to ML systems.
- Experience with an agile development environment.
- Exposure in tools/framework to monitor and analyse ML model performance and data accuracy.
- Strong problem-solving, analytical, and communication abilities.
- Bachelor's or master's degree in computer science, AI, Statistics, Math or related fields.
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