1539 Neural Networks Jobs - Page 4

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigat...

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigat...

About The Role Project Role :AI Platform Engineer Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills :Natural Language Processing (NLP) Good to have skills :No Technology Specialization Minimum 10+ year(s) of experience is required Educational Qualification :NA Key Reponsibilities :NA Technical Experience NA Professional Attributes :NANA Qualification Bengaluru

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 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 AI services. Yo...

About The Role Machine Learning Understanding algorithms, data processing, and model training. Natural Language Processing (NLP) Techniques for processing and generating human language. Data Science Skills in data analysis, statistics, and data visualization. Software Development Proficiency in programming languages like Python, R, and Java. Deep Learning Knowledge of neural networks and frameworks like TensorFlow and PyTorch. ? These models are designed to understand and generate human-like text, similar to other well-known models like GPT-3. LLaMA models are used for various applications, including natural language processing tasks such as text generation, translation, summarization, and m...

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key SkillsNLP,algorithms,Dialogflow,Python,machine learning models,chatbot analytics,chatbot integration*

3 - 5 years of experience in AI/ML development, with at least 1 year specifically working with LLMs or autonomous systems Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow) Experience with various models available and deployments on AWS, Azure, and GCP. Experience using pre-trained models and training models when required. Experienced with Azure AI platform. Experience working with modern language models (e.g., GPT-4, Claude, LLaMA, Mistral) Knowledge of prompt engineering, chain-of-thought reasoning, and LLM fine-tuning Understanding of agent frameworks such as LangChain, AutoGPT or similar. Experienced with integration platforms like UI-path, Alter...

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key Skills - deep learning,chatbot,machine learning,artificial intelligence,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,predictive modeling,r,data analytics,flas...

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key Skills - python,deep learning,chatbot,machine learning,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,predictive modeling,R,data analytics,flask,artificial inte...

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key Skills - NLP,algorithms,Dialogflow,Python,machine learning models,chatbot analytics,chatbot integration.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills - machine learning,artificial intelligence,data science,mentoring,python,deep learning,natural language processing,sql,neural networks,predictive modeling,r,teaching,computer v...

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Bangalore Location-20th Sep 2025 (saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Bangalore Date of drive- 20th Sep 2025 (saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative A...

As a Generative AI Developer at our company, you will be responsible for building cutting-edge generative models to create innovative, human-like content across various domains such as natural language generation, image generation, and more. Your expertise in machine learning, deep learning, and natural language processing will be crucial for developing AI systems that utilize generative models like GPT, GANs, VAEs, and other neural networks. **Key Responsibilities:** - Develop and fine-tune generative models using techniques like GANs, VAEs, Transformers, and Diffusion models. - Work on tasks including text generation, image generation, music/sound generation, video creation, and other crea...

Job Role We are looking to hire ~3-5 talented Full stack developers with Python or Nodejs/Typescript background to work on building Gen AI solutions. The ideal candidate should have 4-10 years of practical work experience in areas like - integrating/managing APIs, async programming frameworks/libraries, state management , concurrency , containerization and telemetry. The ideal candidate who has the desire to work on Gen AI projects would have enrolled themselves in some Gen AI courses, and should have done some reading/exploration by themselves. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Scien...

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics Mandatory Key Skills python,deep learning,chatbot,machine learning,artificial intelligence,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,r,data analytics,flask,AI chatbot solutio...

A program manager owns the entire lifecycle of a cohort of learners, from the enrolment to the completion of the program journey. Learners are working professionals from across the globe, aspiring to upskill in new age / digital competencies, like data analytics, data science, artificial intelligence et. al. In this role of a Program Manager, one has to, 1. Be the first point of contact for participants for any queries, and provide necessary support for all the needs within the scope of program offerings, in a timely manner 2. Foster meaningful relationships with participants, understand their needs & preferences, and deliver a personalized experience 3. Drive all the Program Office responsi...

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...

Join our dynamic team of innovators and technologists as a Applied AI/ML Associate , where your mission will be to revolutionize how the Private Bank services and advises clients, deepen client engagements, and drive process transformation You will analyze existing processes and vast amounts of data to design autonomous AI agents We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery Our culture thrives on experimentation, continuous improvement, and learning You will work in a collaborative, trusting, and intellectually stimulating environmen...

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization Advise on AI-driven business models, innovation strategies, and regulatory compliance Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation Mandatory Key Skills machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence*

Groww is looking for ML Engineer - III to join our dynamic team and embark on a rewarding career journey Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training an...

Streamingo Solutions is looking for Deep Learning Engineer to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewin...

IT Operations Automation tools like ServiceNow Orchestrator, BMC Atrium Orchestrator, HPE Operations OrchestratorObservability tools like Elastic, OpsRamp, Sciencelogic Strong experience in Implementation and Presales of AI Ops use cases using any of the Industry enterprise AIOps solutions such as Moogsoft, ServiceNow, Opsramp, Sciencelogic, Big Panda, etc Strong understanding and experience on Machine Learning algorithms for various AIOPS use cases such as classification, clustering, and anomaly detections Preferred ITIL certificationStrong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as a service, Software defined networks, se...

Key Responsibilities: Build machine learning models to predict asset health, process anomalies, and optimize operations. Work on sensor data pre-processing, model training, and inference deployment. Collaborate with simulation engineers for closed-loop systems.Skills Required: Experience in time-series modeling, regression/classification, and anomaly detection. Familiarity with Python, scikit-learn, TensorFlow/PyTorch. Experience with ML Ops on Azure ML, Databricks, or similar. Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time). Location - Bengaluru,India,Hyderabad,Chennai,Pune,Noida

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization Advise on AI-driven business models, innovation strategies, and regulatory compliance Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation Mandatory Key Skills machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills AI-driven business models,innovation strategies,regulatory compliance,AI research,data science,AI adoption*