2498 Neural Networks Jobs - Page 7

Role Overview: As a Director - Data Science at Accordion, you will lead one or more client projects to deliver various Advance Analytic solutions. You will work directly with the clients and guide the team in building a robust solution to solve clients" business problems within agreed timelines by applying business knowledge, project management, and technical expertise. Key Responsibilities: - Manage a team and work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning, and deep learning algorithms. - Develop proprietary algorithms for solving complex business problems while handling a large amount of structured and unstructured...

Role Overview: You will be joining the Data Science and AI/ML team that collaborates across the organization to develop and deliver AI and ML powered software solutions aimed at improving patient outcomes, satisfying partners and customers, and enhancing business operations in an AI First manner. Your role as a Sr. Mgr. for Machine Learning Engineering will involve leading the development of ML architecture and operations, managing the AI operations team, ensuring production-grade AI/ML systems, and fostering best coding practices within the team. Key Responsibilities: - Drive a culture of learning within your team and challenge the status quo - Mentor and lead a team of engineers to help th...

As a Computer Vision Engineer at our company, you will play a crucial role in developing, implementing, and optimizing deep learning models to drive advanced AI solutions across various industries. Your responsibilities will include: - Developing, porting, and optimizing computer vision algorithms and data structures on proprietary cores - Writing maintainable, reusable code leveraging test-driven principles to develop high-quality computer vision and machine learning modules - Owning the product development milestone, ensuring delivery to the architecture, and identifying challenges - Driving innovation in the product and engineering best practices - Involvement in research and development ...

As an experienced professional with a Bachelor of Technology in Computer Science or related field, you should have 8+ years of software development experience, including at least 4+ years as a full-time data scientist, machine learning researcher, or machine learning engineer. Your expertise should include fluency in R, Python, and experience with common data science libraries like Pandas, numpy, and scikit-learn. Additionally, you should have hands-on experience using neural networks and/or Deep Learning techniques with platforms such as Tensorflow, PyTorch, and Keras in a production setting. Key Responsibilities: - Build, deploy, monitor, and manage Machine Learning models - Identify valua...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves ...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI ...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : User Experience (UX) Design Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role i...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools ...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Front End Development (FED) Angular Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud...

Suparnix Technologies is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting techn...

Overview The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML and GenAI solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks along with LLM frameworks like LangChain / LlamaIndex, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. Responsibilities Understand the existing Proof of concepts that were built to showcase capability of LLMs to deliver the accurate response to any natural...

1. 5+ years of hands-on experience in developing, fine-tuning, and deploying machine learning models. 2. Strong proficiency in Python and PyTorch for building and optimizing deep learning models. 3. Experience in LLM fine-tuning, prompt optimization, and task-specific adaptation. 4. Hands-on knowledge of Graph Neural Networks (GNNs) for graph-structured and relational data. 5. Expertise in anomaly detection using supervised and unsupervised learning techniques. 6. Proven experience in developing and implementing risk scoring models and intelligent analytics frameworks. 7. Ability to build and maintain Secure MLOps pipelines ensuring secure training, deployment, and model monitoring. 8. Exper...

Description: Lead Data Science Projects:Manage end-to-end data science initiatives from data acquisition to model deployment. Develop Data Pipeline:Create and implement Data Extraction and Pre-Processing pipelines from highly unstructured data sources. Develop Models:Create and implement machine learning/deep learning models for industry-specific applications. Data Analysis:Conduct exploratory data analysis to identify trends and optimize processes. Collaborate:Work with cross-functional teams to integrate data-driven solutions. Stakeholder Interaction:Be in sync with the Stakeholders and SMEs to get dynamic feature requirements. Also, good to have stakeholder management skills. Continuous L...

Description Responsibilities Accountable for the end-to-end build and engineering of the production ML / AI application taking a prototype model from the data scientists and developing a production-ready application using appropriate tools and technologies to deploy using AWS cloud. Accountable for the successful development resilience and reliability of the analytical model scoring application pipelines. Follow the established patterns to make the ML / AI models ready for deploy to pre-prod and prod environments with MLOps engineers. Study and transform data science prototypes understanding the requirements and designing the application. Understand the container environments for where these...

Chatbot Front-end/API Development, UI/UX, and Custom Business Logic Integration. "Custom Chatbot Builds: Develop the conversational user interface (UI) and the backend API logic for the custom AI chatbots. Integration & APIs: Create robust, performant web services (using Python frameworks like FastAPI or Flask) to connect the front-end interface with the core Azure OpenAI and RAG services. User Experience: Focus on the conversational design, managing state, handling multi-turn dialogues, and implementing error handling specific to Generative AI outputs. Component Development: Build reusable code modules and connectors for external services to enable the chatbot to perform actions (e.g., call...

Technical Leadership: Define the overall technical strategy and architecture for Generative AI solutions, ensuring alignment with business goals. Azure OpenAI Strategy: Lead the design and implementation of solutions utilizing Azure OpenAI Service (GPT models, Embeddings) including model selection, tuning, and prompt engineering best practices. Architecture & Governance: Oversee the development of robust, scalable, and secure custom AI chatbot builds and Retrieval-Augmented Generation (RAG) systems. MLOps & DevOps Oversight: Drive the implementation of MLOps principles and DevOps practices (CI/CD, automated testing) to ensure repeatable and reliable deployment of AI models and applications o...

As a Model Validation Analyst, you will be responsible for validating models within the banking or credit card industry. Your key responsibilities will include: - Performing independent validation of models, including stress testing, back-testing, and sensitivity analysis using XGBoost to ensure accuracy, reliability, and stability. - Demonstrating a strong understanding of statistical and machine learning concepts such as regression, classification, clustering, and neural networks. - Utilizing statistical testing, hypothesis testing, and data validation techniques. - Showcasing proficiency in Python, SQL, data analysis, and model implementation. - Effectively communicating technical finding...

As a Senior Analyst - Data Science at our technology-led healthcare solutions provider, you will play a crucial role in leading analytical solutioning and model development in the pharmaceutical commercial analytics domain. Your responsibilities will include partnering with cross-functional teams and client stakeholders to gather business requirements, designing and implementing Decision Engine workflows, analyzing complex datasets, and developing predictive models for various use cases. Additionally, you will mentor junior team members, stay updated with industry trends, and ensure data quality through systematic checks. Key Responsibilities: - Partner with cross-functional teams and client...

As a Senior Consultant, Risk Analytics at Northern Trust, you will be responsible for validating models developed predominantly in Python or R, and occasionally SAS. Your role will involve challenging the conceptual soundness of regression and machine learning models and ensuring the use of appropriate and high-quality data for development. You will also need to demonstrate advanced proficiency in financial models related to portfolio analysis, asset management, Value at Risk, Monte Carlo, CAPM, and Factors. Key Responsibilities: - Validate models developed in Python or R, occasionally SAS, ensuring the conceptual soundness and quality of data used - Demonstrate proficiency in financial mode...

As a Machine Learning Engineer at G3 Interactive in Kochi, you will be responsible for developing intelligent, data-driven solutions tailored to client needs. You will be a key player in building real-world machine learning applications, from exploring new algorithms to deploying robust systems. Key Responsibilities: - Apply over two years of hands-on experience with deep learning and neural networks in practical projects - Research and evaluate novel machine learning models and techniques - Build and test experimental prototypes to support product development - Design ML systems based on specific client or business requirements - Translate model results into meaningful business insights - A...

Artificial Intelligence Profile Skill-Gen AI,Python,Javascript,HTML,AI Model,Any Cloud,Deep Learning,Kubernates,deployment framework,AI Libraries Exp-3-6YRS PKG UPTO-20LPA LOC-Bangalore NP-IMM-30DAYS Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Skill-Gen AI, Python,Javascript,HTML,AI Model,Scikit Learn,TensorFlow,Docker,AWS Cloud,Google Cloud,Azure,Kubernates,Django,AI System,NLTK,Deep Learning,deployment framework,AI Libraries

About the role: This is a unique opportunity to join our fast-growing Data Science team. In the role of Data Scientist in Client Retention Analytics team, you will execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value. This person will have a flair of innovation along with a strong exposure to NLP, Classical ML, Python, statistical principles and their application in building model. What You Will Do: Deliver ad hoc modeling and advanced analytical insights to drive strategic and o...

Role Overview: You will be joining the Model Risk Management Group (MRMG) as a Consultant, Risk analytics at Northern Trust. Your primary responsibility will be to support the model validation function by validating models developed in Python or SAS. You will challenge the conceptual soundness of machine learning models and ensure the quality of data used for development. Additionally, you will have a solid understanding of various financial models and risks associated with AI/ML models. Key Responsibilities: - Validate models developed in Python or SAS, ensuring the conceptual soundness and quality of data - Proficiency in financial models used in portfolio analysis, asset management, Value...