1539 Neural Networks Jobs - Page 10

About The Role Job Title - S&C Global Network - AI - CMT ML Ops Ass Manager Management Level:8- Associate Manager Location:Open Must-have skills: AI Architecture/ Gen AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. AI Architecture strategy and Assessment: Lead the development and assessment o...

About The Role Job Title - S&C Global Network - AI - CMT ML Ops - Manager Management Level:7- Manager Location:Open Must-have skills: AI Architecture/ Gen AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. AI Architecture strategy and Assessment: Lead the development and assessment of AI archite...

About The Role Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions throu...

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 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 clou...

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...

About The Role TBD Qualification TBD

About The Role Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions th...

About The Role Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions th...

About The Role Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions th...

About The Role Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions th...

About The Role Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions th...

Lead with autonomy: Take ownership of AI/ML projects from ideation to deployment, pushing boundaries of innovation. Design the future: Develop and fine-tune Generative AI models (LLMs, diffusion models, GANs, VAEs, etc.) to optimize SCP business processes and enhance productivity. Empower AI agents: Create agent AI architectures for autonomous decision-making, task delegation, and multi-agent collaboration using Agentic AI frameworks like AutoGPT. Innovate with LLM s: Build & optimize LLM s applications, leveraging RAG and build robust Machine Learning pipelines for NLP, Multimodal AI tasks. Work with cutting-edge tools: Harness the power of Vector Databases (e.g., Pinecone, FAISS, ChromaDB)...

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer LocationGurgaon, Hyderabad and Bangalore About The Role : A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership an...

Senior Analyst - Data Science Key Responsibilities Design and implement advanced AI/ML models for business use cases, including but not limited to marketing mix modeling (MMM), churn prediction, propensity scoring, demand forecasting, and revenue/sales forecasting. Collaborate with cross-functional stakeholders product managers, data engineers, domain experts to translate business goals into AI/ML solutions. Leverage Python and modern ML/DL libraries (e.g., scikit-learn, PyTorch, statsmodels, langgraph) to process structured/unstructured data, build features, and develop scalable models. Lead end-to-end ML pipelines, from data ingestion and feature engineering to model training, evaluation, ...

Lead - Data Scientist Key Responsibilities Design and implement advanced AI/ML models for business use cases, including but not limited to marketing mix modeling (MMM), churn prediction, propensity scoring, demand forecasting, and revenue/sales forecasting. Collaborate with cross-functional stakeholders product managers, data engineers, domain experts to translate business goals into AI/ML solutions. Leverage Python and modern ML/DL libraries (e.g., scikit-learn, PyTorch, statsmodels, langgraph) to process structured/unstructured data, build features, and develop scalable models. Lead end-to-end ML pipelines, from data ingestion and feature engineering to model training, evaluation, optimiza...

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet societ...

Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business. As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of exper...

We are hiring an ML Engineer/ML Ops Engineer with 5+ years’ experience to design scalable ML pipelines, deploy production-ready models, and implement CI/CD for enterprise AI systems. Strong skills in ML algorithms, MLOps, & data engineering required. Required Candidate profile Experienced ML/MLOps Engineer with expertise in ML pipelines,scalable model deployment,CI/CD,automation, & advanced machine learning algorithms.Strong background in software engineering &data systems.

As an AI / ML Engineer, you will be responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers and data scientists. Your main responsibilities will include assisting in designing, developing, and implementing machine learning models and algorithms, working on data preprocessing to ensure high-quality inputs for model training, identifying and creating new features to improve model accuracy, training ML models, fine-tuning hyperparameters, evaluating model performance, staying updated with the latest trends in machine learning, collaborating with cross-functional teams, deploying models to production, and maintaining documentation for cod...

You will be joining Simform, a prominent digital engineering company that specializes in Cloud, Data, AI/ML, and Experience Engineering to develop seamless digital experiences and scalable products. With a strong engineering foundation and a unique co-engineering approach, Simform is dedicated to creating future-proof digital products for high-growth ISVs and tech-enabled enterprises in various industries. As a Generative AI Engineer based in Ahmedabad, your primary responsibility will involve the development and implementation of AI/ML models, algorithms, and solutions. This role will require you to analyze data, design experiments, and collaborate with cross-functional teams to deploy AI-d...

As a Senior Data Scientist at our company located in Ahmedabad, you will play a crucial role in leveraging your expertise in Generative AI, Retrieval-Augmented Generation (RAG), LLaMA (Large Language Model Meta AI) models, and vector databases to develop cutting-edge solutions that address complex challenges across various industries. Your responsibilities will include designing, developing, and deploying advanced machine learning models and algorithms, particularly focusing on generative AI, LLaMA models, RAG, and vector databases to enhance our products and services. You will collaborate closely with cross-functional teams to integrate ML/AI solutions into our products, optimize machine le...

Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives. Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes. Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM\u0027s, LVM\u0027s, TTS etc. Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions...

Summary We are seeking a highly motivated and talented Prompt Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the businesss mission to help power the energy transition. We forge the collaborat...

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 : NAMinimum 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 ...

Required Skills and Qualifications: Bachelors degree in AI/ML , Data Science is MUST. Strong foundation in Python programming and basic knowledge of object-oriented programming. Good understanding of Machine Learning concepts: supervised/unsupervised learning, overfitting/underfitting, model evaluation, etc. Familiarity with ML libraries: scikit-learn, TensorFlow, Keras, PyTorch (any one is sufficient). Basic understanding of data preprocessing techniques (e.g., normalization, encoding, handling missing values). Knowledge of linear regression, decision trees, clustering, or neural networks. Exposure to SQL and working with relational databases. Understanding of version control systems like G...