... operational readiness across implementations. Strong experience in AI/ML solution architecture and enterprise application development. Knowledge of Generative AI, Machine Learning, and AI/ML lifecycle. Experience with RAG and LLM Experience with Python and modern AI frameworks is preferred. Excellent stakeholder management, communication, ...
... https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Develop and implement AI applications using large language models (LLMs) with Python and LangChain.- Design, build, and optimize machine learning algorithms for generative AI applications.- Collaborate with data scientists, software engineers, and product managers to create robust AI-driven applications.- ...
... metrics, benchmarking, experimentation, and reproducible research. Qualifications & Experience:- Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience in AI research, machine learning, deep learning, or advanced AI technology development. Demonstrated experience developing ...
... deployment. - Contribute to improving existing ML models, data pipelines and analytical processes. Required Skills - Strong hands-on experience in Data Science & Machine Learning . - Excellent proficiency in Python and data science libraries. - Strong knowledge of Machine Learning algorithms, statistics and predictive modelling ...
... strong AI/ML Engineer to build production-grade AI https://jobeax.com/link/XF1OMzY5gzhpXhBJ Experience : - 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.- Strong hands-on experience in Python programming, SQL, data analysis, feature engineering, ...
... Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model ...
... https://jobeax.com/link/ozKh5KvqV0QN87Qs Candidate Profile :- Experience in AI/ML product management or program management.- Strong understanding of Artificial Intelligence and Machine Learning concepts and technologies.- Experience managing technology programs involving multiple stakeholders and teams.- Strong skills in product strategy, ...
Objectives Job Requirements Perform equipment sizing, selection, supporting procurement, reviewing engineering documents and following up with vendors for all types of rotating equipment. Keep abreast of Industry Codes and Guidelines related to rotating equipment.
... offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. of Python Development Experience with at least 4 years in data science and machine learning ...
... efforts, ensuring high-quality implementation from frontend data-steward UI layouts (Reltio Console) to backend data pipelines and integration layers. - Integrate Machine Learning (ML) capabilities into software products, configuring and tuning probabilistic match rules, match tokens, and automated merge criteria. - Develop and ...
... https://jobeax.com/link/J4ptbixLFD0NWRoB a Senior AI Engineer, you will design, build, and operate production-grade AI systems end to end. This role sits at the intersection of machine learning, software engineering, and enterprise https://jobeax.com/link/YcBGAlO8WAHpMbP4 will work on a mix of:- LLM-based solutions (API-based models, RAG, ...
... learning. Preferred Areas of Specialization Candidates with expertise in one or more of the following areas are encouraged to apply: Artificial Intelligence & Machine Learning Data Science & Big Data Analytics Cyber Security / Information Security Cloud Computing & Distributed Systems Internet of Things (IoT) Computer Networks ...
... development using FastAPI or similar frameworks.- Experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar frameworks.- Understanding of machine learning concepts including supervised and unsupervised learning, model evaluation, feature engineering, and model optimization.- Understanding of LLM evaluation, ...
... development using FastAPI or similar frameworks.- Experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar frameworks.- Understanding of machine learning concepts including supervised and unsupervised learning, model evaluation, feature engineering, and model optimization.- Understanding of LLM evaluation, ...
what you will do : - design, validate, and productionize advanced machine learning and deep learning models to generate actionable insights for strategic business decisions. focus areas include credit risk prediction, propensity modeling, fraud detection, collection efficiency improvement, and other finance-related applications. ...
... them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize deep learning architectures for Computer Vision and NLP tasks. - Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning ...
... stakeholders, to transform complex simulation data into actionable business https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities :- Design and implement end-to-end Machine Learning and Deep Learning pipelines that process high-fidelity data from Simulink and Matlab to enhance mechanical design accuracy.- Develop and scale Generative ...
... Azure cloud competencies to join our dynamic https://jobeax.com/link/V9v5V1Tltw2JcjY6 Responsibilities : 1. Architecture and Design for Data Engineering and Machine Learning Projects : - Establishing architecture and target design for data engineering and machine learning projects.2. Requirement Analysis, Planning, Effort ...
... or store operations systems.- Experience scaling a product from pilot deployment to large multi-site enterprise rollout.- Familiarity with privacy-preserving machine learning approaches such as federated learning, on-device training, or data minimization by design.- Startup experience between seed and Series B stage, including ...