... Haystack, with a deep understanding of prompt engineering and vector database management.- Proficiency in Python and deep learning libraries like PyTorch or TensorFlow, combined with the ability to write clean, maintainable code that adheres to production-grade standards.- Strong analytical and problem-solving abilities, ...
... production-grade ML applications.4. Mandatory Experience 3 : - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.5. Mandatory Experience 4 : - Must have hands-on experience working on NLP, embeddings, semantic search, text classification, ...
... informatics solutions that drive efficiencies in data-based insights development.- Build predictive models using machine learning algorithms and frameworks, such as TensorFlow, PyTorch, Scikit-learn etc.- Apply NLP, machine learning, and deep learning in various domains.- Present information and insights using data visualization ...
... workflows, and training.- Optimize models for accuracy, latency, and resource efficiency across cloud, edge, and embedded deployments.- Work with PyTorch, TensorFlow, Keras, and OpenCV to implement architectures like CNNs, YOLO, Faster R-CNN, ViT, and U-Net.- Integrate CV models into production applications via APIs and ...
... or other domain-specific AI technologies. - Build and optimize ML models using Python or C++. - Develop AI applications using frameworks such as PyTorch, TensorFlow, and Hugging Face. - Build production-grade AI systems using cloud and modern MLOps practices. - Develop and manage scalable ML pipelines and data pipelines. ...
... GitHub, screenshots or examples of shipped work are a strong advantage. Tech Stack - Kotlin - Jetpack Compose - Android SDK - Coroutines & Flow - SQL / NoSQL - TensorFlow Lite (on-device inference) The Kind of Builder We Want - Thinks in user journeys, not just screens. - Cares about making complex financial products feel simple. ...
... developing, fine-tuning, and deploying LLMs and generative AI models. - Programming Skills: Proficiency in Python, with experience in libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and tools like LangChain or LlamaIndex. - NLP & Multimodal Learning: Deep understanding of NLP techniques, multimodal representation ...
... Adversarial Networks). - Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. - Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. - Experience with cloud platforms ...
... backend development, API development, and production-grade application support.- Experience with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.- Hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, ...
... for the Next Generation Accelerator AI https://jobeax.com/link/yxEskUFjM7mvrtl6 role owns how models run on Next Generation Acceleratorfrom vLLM / PyTorch / TensorFlow/XLA to production deploymentensuring correctness, performance, and https://jobeax.com/link/8BX2Ovn3hsADgVbS Responsibilities : - Architect integration of vLLM, ...
... quality and scalability of solutions. - Leverage cloud platforms like AWS, GCP for model training and deployment. - Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. - With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves ...
... backend development, API development, and production-grade application support.- Experience with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.- Hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, ...
... repositories is mandatory for shortlisting. - Proficiency in at least one programming language (e.g., Python). - Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus. - Excellent problem-solving skills and a keen interest in AI development. - Ability to work effectively in a team environment. - Strong ...
... protocols and frameworks such as Model Context Protocol (MCP) or agent skills. - Experience training, building, and deploying machine learning models using TensorFlow, PyTorch, or similar frameworks. - Familiarity with MLOps practices for model deployment, productionization, and lifecycle management. - Strong knowledge of ...
... or Data Science roles - Strong hands-on experience with Generative AI, LLMs, and Agentic AI systems - Proficiency in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face, etc.) - Experience with LangChain, LangGraph, RAG architectures, and prompt engineering - Knowledge of vector databases (FAISS, Pinecone, Weaviate, ...
... Experience with SQL and data extraction from relational databases. Proficiency in cloud-based analytics platforms (e.g., GCP, Snowflake). Experience with TensorFlow, Keras, or similar frameworks. Strong software development skills with OOP principles. Experience with time-series data, image data, and anomaly detection. ...
... bring a strong background of Python and handling large data sets using SQL in a business environment (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels etc.) You have a sound knowledge of data architectures and concepts and practical experience in the visualization of large datasets, ...
... large-scale data sets to build and deploy scalable models. Utilize modern distributed systems and data science tools (e.g., Hadoop, Hive/SQL, Apache Spark, TensorFlow, PyTorch, scikit-learn). Ensure reproducibility and quality in analytic pipelines and project deliverables. Visa requires at least 3 days in office, expectations ...