Pytorch, MLops, Weakly-supervised learning, AI development in regulated environments, Medical image analysis, Deep learning workflows, Multimodal models

Machine Learning, Sql, MLops, Python, Statistical Analysis, Semantic Layers, Embeddings, LLM APIs, RAG, Agent Orchestration Frameworks, Feature Engineering, Deployment, Inference, Monitoring

snowflake , Pandas, Scipy, Numpy, Python, Sql, AWS, Jupyter Notebooks, scikit-learn, Looker

Tensorflow, Hadoop, Pytorch, Pandas, Spark, Python, Sql, Google Cloud, AWS, Scikit-learn

Ml, Machine Learning, Cpu, Gpu, Deep Learning, Recommender Systems, Computer Vision, Bayesian models, LLMs, generative AI, event driven architecture, Optimization, Statistics, statistical modelling techniques, deep neural networks

causal inference , Databricks, Clustering, Pandas, Regression Analysis, Numpy, Python, Hypothesis Testing, Scipy, Bayesian Methods, scikit-learn, statistical methodology, stats models, Survival Analysis, Experimental Design, Simulation, time-series analysis

Tensorflow, Pytorch, Python, Graphql, Neo4j, graph-based data modeling, PQ, metadata filtering, Nemotron, natural language query answering, FAISS-based vector indexes, Retrieval-Augmented Generation pipelines, vector databases, HNSW, QLoRA, document chunking, LoRA, IVF, Llama variants, Knowledge Graphs, parameter-efficient fine-tuning, Mistral, Phi

Sql, Natural Language Processing, Hadoop, Google Cloud, AWS, Python, Computer Vision, Spark, ML evaluation techniques, LLMs, Transformers, GANs, fine-tuning, deep learning architectures, perceptual quality metrics, diffusion models, R, generative tasks, multimodal learning, user-in-the-loop testing, prompt engineering

Android, Cloud Computing, Machine Learning, Python, Product Engineering, Genetics, Conceptualization, Operations Research, Analytics

No Sql, Tableau, Python