Average salary: Rs498,573 /yearly
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- ...applications and intelligent software solutions.- Build and optimize machine learning and deep learning models for production environments.- Develop... ...inference and model serving.- Design data pipelines for model training, evaluation, and continuous improvement.- Implement prompt...Training
- ...ideal candidate should have strong hands-on expertise in Python, Machine Learning, Generative AI, LLMs, LangChain, RAG, and AWS.Key... ...data pipelines for data ingestion, transformation, and model training.- Integrate AI solutions with cloud platforms and enterprise applications...Training
- ...Chennai, Hyderabad, BhopalExperience : 6 to 8 yearsRole Overview : We are seeking a Data Scientist to design, build, train, and operationalize machine learning models that deliver measurable business impact. You will work end-to-end across feature engineering, model training,...Training
- ...organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and... ...solutions.- Supervise or contribute to the development, training, and optimization of Large as well as small language models.-...Training
- ...Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Deep Learning, Transformers, and AI product development. The... ...databases, and knowledge retrieval. • Expertise in AI model training, fine-tuning, evaluation, and optimization. • Strong programming...TrainingFull time
- ..., Fraud, and Collections functions.- Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.- Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.- Design...Training
- ...frameworks like TensorFlow, PyTorch, etc.- Experience with AI and Machine Learning algorithms.Your Profile :- 5 to 14 yrs of experience with Gen... ...opportunities.- Equip yourself with valuable certifications & training programmes in the latest technologies such as Gen AI (ref:...TrainingHybrid workFlexible hours
- ...AI systems including data ingestion, feature engineering, model training, deployment, monitoring, and governance.- Design and implement scalable... ..., PySpark, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).- Experience with Vector Databases (FAISS, Pinecone, Weaviate,...Training
- ...service offerings.- Fine-tune and deploy Deep Learning models using industry-standard frameworks... ...Tensorflow or PyTorch for developing and training Deep Learning models, coupled with the... ...- 10 years of professional experience in machine learning and software engineering. (ref:...TrainingHybrid work
- Job Description : - Model adaptation & training- Task-specific benchmarks focused on functional/executable correctness- Standing up/optimizing infrastructure- Reproducible pipelines (versioning, checkpoints, seeds, experiment tracking), structured generation.Key Responsibilities...Training
- ...applications.- Build, fine-tune, and optimize deep learning models for image classification, object... ...state-of-the-art foundation models.- Train, fine-tune, and evaluate computer vision... ...Computer Science, Artificial Intelligence, Machine Learning, or a related field.- 4+ years of...TrainingFlexible hours
- ...Design and develop AI-powered solutions using generative AI, machine learning, and natural language processing techniques.- Collaborate with... ...pipelines to collect, process, and analyze large datasets for training and testing AI models.- Ensure high-quality delivery of AI projects...Training
- ...solutions.Key Responsibilities :- Design, develop, and deploy scalable machine learning and deep learning models for production environments.- Build end-to-end AI/ML pipelines, from data preprocessing and model training to deployment and monitoring.- Develop RESTful APIs using...TrainingFlexible hours
- ...Senior Data Scientist with deep expertise in advanced analytics, machine learning, and modern AI systems, including Large Language Models (LLMs)... ...scalable, reliable, and observable ML pipelines including training, validation, deployment, and monitoring.- Implement model versioning...Training
- ...Engineering. The ideal candidate will design, develop, and deploy machine learning models and computer vision solutions to solve real-world... .... • Pre process and annotate image/video datasets for training and evaluation. • Collaborate with cross-functional teams...TrainingFull time
- ...for performance, resilience, and cost. Implement MLOps practices for the full model lifecycle: CI/CD, automated testing, repeatable training pipelines, deployment, monitoring, and rollback strategies. Model evaluation: precision/recall/F1, ROC-AUC/PR-AUC, calibration,...TrainingPermanent employmentFull timeHybrid workFlexible hours
- ...extraction, cleaning, transformation, and analysis of regional data.- Prepare, preprocess, and annotate datasets for NLP and machine learning applications.Train, fine-tune, and evaluate NLP models, including :- Named Entity Recognition (NER)- Transliteration models- Text...Training
- ...Job Description – Machine Learning Engineer Position Machine Learning Engineer Experience 3–8 Years Job Summary We... ...an experienced Machine Learning Engineer to design, develop, train, deploy, and maintain machine learning models and AI solutions....TrainingFull time
- ...AI models, such as neural networks, that learn from data and mimic human cognitive functions... ..., or cloud platforms. 3. Data Handling & Training: Selecting, managing, and training models... ...Google Cloud 4. Technical Skills: Expertise in machine learning, deep learning, NLP, computer...TrainingLocal area
- ...observability, and MLOps pipelines.- Develop data pipelines to support training and inference workloads.- Optimize model performance,... ...development.- Expertise in Generative AI, Large Language Models (LLMs), Machine Learning, Deep Learning, and NLP.- Hands-on experience with Azure...Training
- ...deployment, AWS GPU infrastructure, and MLOps. The role involves fine-tuning and deploying self-hosted Large Language Models (LLMs), building training and evaluation pipelines, and implementing reliable production deployment and monitoring practices.The ideal candidate should have...TrainingFull timeHybrid workFlexible hours
- ...growth, and decision-making through the practical application of Machine Learning and AI.As part of the AI Engineering team, you will work on... ...ML pipelines for data preparation, feature engineering, model training, evaluation, and deployment.- Apply statistical and machine learning...TrainingHybrid work
- ...understanding, and visual search using modern deep-learning architectures.- Natural Language... ...robust MLOps practices - reproducible training pipelines, model versioning, CI/CD for models... ...or Master's degree in Computer Science, Machine Learning, Data Science, or a related...TrainingFull timeHybrid work
- ...functional engineering teams and business stakeholders to design, train, and deploy sophisticated models that extract actionable... ...enhance decision-making capabilities through state-of-the-art machine learning architectures.Key Responsibilities : - Architect and implement...TrainingHybrid work
- ...Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years... ...time and batch analytics, and leveraging Spark’s libraries for machine learning and data transformation to drive actionable business insights....Training
- ...launched an Alternatives Product offering, combining proprietary machine learning technology with human-in-the-loop review to process complex... ...the Alternatives Data Ops team, you will receive comprehensive training to review Private Fund documents, ensuring clients’...TrainingWork at officeWorldwideFlexible hours3 days week
- ...Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment.- Collaborate with data scientists... ...yourself with valuable certifications & training programmes in the latest technologies such as MLOps, Machine Learning (ref:hirist.tech)TrainingHybrid workFlexible hours
- ...storage into AI-enabled data engineering, using automation and machine learning to detect anomalies and optimize workloads before they even... ...their foundation. You will engineer the ML Feature Stores and training datasets that power our predictive models. You'll apply AI to...TrainingHybrid workWork at office
- ...Software Engineer – AI/ML to design, develop, and deploy scalable Machine Learning solutions on AWS Cloud. The ideal candidate will have strong... ...Data Preparation Feature Engineering Model Training Model Evaluation Model Deployment Model Monitoring...TrainingContract workHybrid work
- ...powered solutions for the financial services industry. We leverage machine learning and data science to create innovative products that enhance... ...cycles.- Build and maintain scalable data pipelines for model training and evaluation, ensuring data quality and availability for...Training