536 machine learning jobs in Bangalore, India.

... unique opportunity to gain hands-on experience in the Education Management industry, working on innovative projects that leverage machine learning to transform learning experiences. As a Machine Learning Intern at Innovexis, you will collaborate with experienced professionals to develop, test, and deploy machine learning models ...

- Has debugged a model quality regression in production and traced it back to a data or training root cause. tech) [{"name": "full_time", "text": "Full time", "categoryName": "Type of employment"}, {"name": "work_at_office", "text": "Work at office", "categoryName": "Working conditions"}]

... architects to drive platform adoption. Qualifications - Experience: 9+ years of progressive, highly relevant experience in software engineering and machine learning development. - Production Excellence: A proven, demonstrable track record of successfully architecting, building, and productionizing complex Machine Learning ...

... pipelines for model training and evaluation, ensuring data quality and availability for machine learning projects.- Design and implement APIs for accessing machine learning models, enabling seamless integration with other Elgebra systems and applications.- Monitor and troubleshoot machine learning models in production, ...

We are seeking a highly motivated and talented research scientist working in machine learning (ML), natural language processing (NLP), and Artificial Intelligence (AI) to join our Security Science Lab at https://jobeax.com/link/sARjEZz9nSAoYDrt pivotal role will focus on endowing Agentic AI and Robotics with advancing foundational ...

- Collaborate with stakeholders to translate business requirements into scalable AI solutions. tech) [{"name": "hybrid_working", "text": "Hybrid work", "categoryName": "Working conditions"}]

... solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.- Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas).- Deep understanding of machine learning and software engineering ...

- Solutions deployed with strong governance, scalability, and operational readiness. tech) [{"name": "hybrid_working", "text": "Hybrid work", "categoryName": "Working conditions"}, {"name": "work_at_office", "text": "Work at office", "categoryName": "Working conditions"}]

... models, drive data-driven decision-making, and deliver measurable business outcomes. Key Responsibilities : - Lead the design, development, and deployment of machine learning and deep learning models. Build AI/ML solutions using Python, TensorFlow, PyTorch, and other relevant frameworks. Develop Generative AI, LLM, RAG, ...

... governance, risk, and transparency challenges. Apply now to join One team, One https://jobeax.com/link/1DxAN4oDZJHZpqzR : - Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications.- Build and fine-tune models - from gradient-boosted trees and classical ...

... ambiguous business challenges get translated into concrete AI solutions, and contribute meaningfully to that process from early stages through deployment.- Apply machine learning, deep learning, and statistical modeling to build and evaluate AI solutions using real-world enterprise https://jobeax.com/link/1FRRKMo2L3B8sUVH Qualifications ...

About Kapture CX:Founded in Bengaluru in 2014, Kapture CX began as an enterprise customer support software company and has evolved into an AI-first Agentic Operating System for Enterprises. Kapture helps enterprises scale AI execution while keeping humans in control.

Role Overview:We are looking for a Data Scientist / AI-ML Engineer with strong experience in statistical modeling, machine learning, data analysis, and predictive analytics. The candidate will develop, evaluate, and deploy machine learning models to solve business problems, improve decision-making, and deliver measurable ...

... in complex real-world environments. We are seeking an exceptional researcher with a PhD and a strong record of advancing robotics, artificial intelligence, machine learning, or embodied intelligence through rigorous research and physical-robot https://jobeax.com/link/TRe3HcbdtMye0l4i successful candidate will shape novel ...

... understanding of embeddings, attention mechanisms, contrastive learning, semantic retrieval, bi-encoders, and cross-encoders. - Working knowledge of classical machine learning algorithms and statistical evaluation methods. - Experience with SQL and analysing large-scale datasets. - Understanding of learning-to-rank systems, ...

... with LLM fine-tuning and parameter-efficient techniques such as PEFT, LoRA, or QLoRA . - Strong understanding of embeddings, attention mechanisms, contrastive learning, semantic search, and information retrieval. - Working knowledge of classical machine learning algorithms and statistical evaluation methods. - Experience with ...

... Experience: 5+ yrs Location: Bengaluru, Chennai Job Type: Full-time We are looking for an experienced Senior Data Scientist with strong expertise in Python, Machine Learning, Generative AI, Large Language Models (LLMs), and AI engineering to develop intelligent, scalable, and data-driven solutions. The ideal candidate will ...

... NoidaEmployment Type : Full-TimeRole Overview : We are looking for a Lead AI Engineer with strong hands-on experience in Generative AI, Agentic AI, Python, and Machine Learning to lead the design and development of intelligent AI-powered https://jobeax.com/link/5WM6jVJPxXxkaX5M ideal candidate should have experience building ...

... Science, Machine Learning, Applied AI, or a related field.- Strong proficiency in Python and hands-on experience with PyTorch, TensorFlow, or similar deep-learning frameworks.- Strong fundamentals in machine learning and deep learning, including model training, optimization, regularization, model selection, evaluation, ...

... In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, causal analysis). - Practical experience in the full machine learning lifecycle ...