... and responsible model usage. - Mentor junior team members and contribute to building a Gen AI Center of Excellence. - Strong expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers. - Hands-on experience with LLMs, diffusion models, GANs, or multimodal AI. - Deep understanding of NLP, computer vision, and ...
... working with large datasets, data pipelines, feature engineering, and data processing. - Strong experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent . - Experience developing and deploying ML models in production environments. - Good understanding of REST APIs, microservices, ...
... Solution architecture across cloud platforms (AWS, Azure, GCP), data warehousing, and enterprise integration- Applying core ML/DL fundamentals Python, PyTorch, TensorFlow, NLP, Scikit-learn to real business problems- Partnering with stakeholders to translate business needs into deployable AI systemsWhat we're looking for : - ...
... & Education #Bachelor's or Master's degree in Computer Science, AI, Electronics, Electrical Engineering, or related field. Strong Python programming with TensorFlow and PyTorch. - Experience with data preprocessing, augmentation, and large-scale image/video datasets. - Hands-on experience with Transformers, RNNs, Vision ...
... semantic retrieval - through coursework, research, or hands-on experimentation. - Solid Python and SQL skills some experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn (academic projects, research work, and personal projects all count). - Eagerness to learn production-grade development practices and grow ...
... onsite/Week) Job Type : Fulltime with BayOne Solutions Salary: 20-25 LPA Must Have Skills Develop software solutions with proficiency in ROS, Python, SQL, OpenCV, TensorFlow, PyTorch, and React. Strong knowledge of network communication protocols and computer vision technologies. Program and control 6DOF robots, integrating sensors ...
... with CI/CD automation through GitHub Actions for reliable, production-grade releases. - Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, modern AI orchestration frameworks such as Langchain, Langflow - Demonstrated experience delivering production-grade AI-powered applications end-to-end, contributions ...
... semantic retrieval — through coursework, research, or hands-on experimentation. - Solid Python and SQL skills; some experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn (academic projects, research work, and personal projects all count). - Eagerness to learn production-grade development practices and grow ...
... per Shardul pending confirmation) - Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn. - Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement. ...
... per Shardul pending confirmation) - Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn. - Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement. ...
... enterprise knowledge grounding. - Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn. - Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement. ...
... software engineering principles. - Hands-on experience building and deploying production-grade ML/AI systems. - Experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn , or equivalent. - Strong understanding of APIs, distributed systems, databases, version control, testing, and software development lifecycle. ...
... and solid CS fundamentals; strong SQL for data access and validation. Depth in ML: Traditional ML exposure and at least one deep learning framework (PyTorch/TensorFlow), with strong understanding of metrics and failure modes. GenAI implementation: RAG / MCP / fine-tuning, embeddings/vector search, prompt orchestration, evaluation ...
... learning models for prediction & binary classification tasks, including linear regression & logistic regression - Python, scikit-learn (Classical ML), PyTorch, TensorFlow (Deep Neural networks) (Libraries inside the python), Databricks, Spark and Azure ML - Has personally developed a predictive model/advance analytics model ...
... Strong background in machine learning, deep learning, data mining, and/or optimization - Proficiency with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn) - Extensive experience working with real-world datasets, data preprocessing, and model deployment - Expertise working with cloud environments ...