... Artificial Intelligence solutions that drive business innovation, intelligent automation, and digital transformation. Design, develop, train, and deploy AI and Machine Learning models to solve real-world business problems. Build intelligent AI solutions including: Apply supervised and unsupervised machine learning techniques ...
... developing, integrating, deploying, and monitoring production-grade AI and GenAI https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities:Generative AI and Machine Learning:- Design, develop, and deploy Machine Learning and Generative AI solutions.- Build and integrate LLM-based applications for enterprise use cases.- ...
... transparency, and data privacy. Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. - 3+ years of experience in data science or machine learning roles. - Proven experience with Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services. - Strong programming skills in Python and experience ...
... requires: - 6–11 years of total industry experience - Minimum 3 years of hands-on experience in Gen AI / Agentic AI systems - Remaining experience in Data Science, Machine Learning, and Computer Vision We are seeking professionals who can independently drive AI initiatives as Individual Contributors (ICs) while collaborating effectively ...
... development, testing, and maintenance of enterprise-grade software systems deployed on public cloud platforms, including AWS and Azure. Familiarity with AI and machine learning technologies, advanced UI development using ReactJS, and hands-on banking domain experience—especially KYC/AML solutions—is highly sought. This role ...
... deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and ...
... explainability through Responsible AI practices. - Proficiency in Python, SQL, and data engineering for analytical / process data modeling. - Experience in machine learning, deep learning, or optimization algorithms applied to real-world business processes. - Strong foundation in process-mining techniques, including event-log ...
... - Experience with Agile/Scrum methodologies is a plus. - Familiarity with cloud platforms like AWS, Azure, or Google Cloud is an advantage. Experience with machine learning libraries like Scikit-learn, TensorFlow, or PyTorch. - Knowledge of Docker and Kubernetes for containerization and orchestration. - Familiarity with ...
... Python, Tensorflow/PyTorch and query languages like SQL/Hive/Pig; with the ability to use of app development tools such as Docker, Django, Git, etc.- Knowledge of machine learning algorithms like Classification, Regression, Clustering, Computer Vision, NLP/NLU techniques, etc.- Deep Learning architectures in Gen AI focused on ...
... or Reporting COE. Experience in a professional services, consulting, marketing services, or technology environment. Experience leveraging AI, Generative AI, machine learning, RPA, or advanced analytics tools to improve financial reporting and forecasting. Experience partnering with BI or Data Engineering teams. Experience ...
... Trivandrum, and Gurugram locations, you'll find opportunities where your passion and curiosity help shape what comes next. With cutting edge benefits, innovative learning and development programs, and a people first culture, we empower our people to lead with purpose. We continue to expand our teams and capabilities across India, ...
... relationships, and trends4. Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation5. Research, study and stay updated in the domain of data science, machine learning, analytics ...
... with data-driven https://jobeax.com/link/wXURIxgrAfa888Pf Responsibilities : - Design, develop, train, and deploy machine learning models.- Work on end-to-end machine learning development and implementation.- Analyze data and identify patterns to build effective ML solutions.- Optimize and improve machine learning models ...
... Certifications :- Bachelors / Masters degree in computer science, data science, statistics or a related quantitative field- Certifications in machine learning / deep learning / data structures will be an added advantageRequired Experience :- 4 to 10 years of experience in data science, advanced analytics, or applied machine learning ...
... non-technical stakeholders. Master's degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience Strong background in machine learning, deep learning, and natural language processing . Extensive experience in developing and implementing machine learning models and algorithms using ...
... works with data. This role will focus on developing AI agents, automating business workflows, enabling natural language access to enterprise data, and applying machine learning and advanced analytics to solve complex business problems. The ideal candidate combines strong data science and machine learning expertise with practical ...
... science, Computer Science, Statistics, Mathematics, Engineering, Economics, or another quantitative discipline. - Strong professional experience in Data Science, Machine Learning, Advanced Analytics, or a related field. - Strong proficiency in Python and SQL. - Strong understanding of machine learning and statistical modelling. ...
... degree with 4-6 years of relevant experience, or a PhD with 1-3 years of relevant experience Knowledge of techniques and tools that promote effective analysis; Machine Learning : Knowledge of principles, technologies and algorithms of machine learning; Programming Languages: Knowledge of basic concepts and capabilities of ...
... 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, ...