11691 Deep Learning Jobs - Page 4

A Developer will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights. • Technical Expertise : Strong Programming skills in Python or Scala. Deep knowledge of AI technologies like machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn(e.g., APIs, microservices, event-driven IT,MLflow) . Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps) . Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Hands on Experinece : Hands-on ...

Job Description Data Scientist We are looking for an experienced and innovative Data Scientist to join our team. The ideal candidate will leverage advanced analytics and machine learning techniques to extract valuable insights from our vast B2B datase t and develop predictive models to enhance our product offerings. Responsibilities Develop and implement machine learning models for tasks such as entity resolution,lead scoring, and company classification Perform data cleaning, preprocessing, and feature engineering Create algorithms for data enrichment, including technographic and firmographicdata prediction Conduct exploratory data analysis to uncover patterns and trends in B2B data Collabor...

Role Overview: As the Director: AI Tech Lead at our company in Pune, you will be responsible for leading the Artificial Intelligence (AI) strategy, development, and implementation across the organization. Your role will involve collaborating with various business functions to design, develop, and deploy AI solutions that align with the company's AI strategy, drive business value, enhance operational efficiency, and improve customer experience. Key Responsibilities: - Strategic Planning and Leadership: - Develop and execute the AI strategy in alignment with the bank's overall technology vision. - Identify opportunities for AI adoption and prioritize projects in collaboration with cross-functi...

You will be responsible for designing, developing, and deploying Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Additionally, you will build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. You are expected to work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools. Integration of models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems is a key part of your role. Optimizing inference pipelines for performance, latency, and scalability is also within your responsibilities. Collaboration with product managers and data...

Role Overview: You will be joining an Artificial Intelligence Services and Solutions company that specializes in applying Machine Learning, Deep Learning, and Advanced Analytics to address business challenges. With a team of highly experienced professionals from top institutions and technology firms, we have a successful track record of implementing AI Technologies across various industries such as Enterprise Software, Retail, eCommerce, and Healthcare. Your role will involve spearheading model development, accurate predictions, and advanced analytics using Einstein Discovery, contributing to our data-driven strategies. Key Responsibilities: - Lead model development and fine-tuning in Einste...

Role Overview: As a hands-on technical leader at Berryworks, you will have the opportunity to build world-class solutions and mentor highly skilled engineers. Your contribution will significantly impact product development as you lead a globally distributed engineering team committed to excellence. You will be responsible for designing and developing enterprise-ready web and mobile applications, leading design discussions, exploring ML and NLP algorithms, influencing product design, and practicing time management in a dynamic environment. Key Responsibilities: - Leverage 8+ years of hands-on experience in designing and developing enterprise-ready web and mobile applications - Build product f...

Role Overview: You are an exceptional hands-on Artificial Intelligence Developer with a proven track record of experience in applying machine learning & Deep Learning methods. Your responsibilities include developing transformative AI solutions to address clients' business requirements and challenges, understanding the latest industrial and academic developments in AI/ML, creating prototypes for demonstration, conceptualizing, designing, building and developing prototypes, collecting requirements, creating effective product/feature roadmaps, and working with development teams to convert algorithms into production quality programs. Additionally, you will conduct applied research on text analy...

Role Overview: As an AI Architect Senior Advisor at NTT DATA, you will be responsible for developing and implementing traditional machine learning algorithms, deploying models in a production environment, and writing and maintaining Python code for data science and machine learning projects. You will have the opportunity to work on cutting-edge technologies in the field of Artificial Intelligence and Machine Learning. Key Responsibilities: - Develop and implement traditional machine learning algorithms. - Deploy at least one model in a production environment. - Write and maintain Python code for data science and machine learning projects. Qualification Required: - Knowledge of Deep Learning ...

Mandatory Skills: CrewAI / Agentic AI Generative AI (LLMs RAG Fine-tuning), LangChain, Microservices, Natural Language Processing (NLP), Open Source LLM, Pandas, Python, Topic Modeling / Clustering, Vector Databases (e.g. Pinecone), AI Voice Agent Roles and Responsibilities: Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent ...

Role Overview We are looking for a dynamic professional with a strong blend of AI/ML development (70%) and Data Science expertise (30%) or vice versa. The ideal candidate will design and deploy intelligent solutions, build predictive models, and manage large-scale data workflows. This role suits someone who thrives in innovation-driven environments and wants to contribute to cutting-edge AI initiatives. Key Responsibilities AI/ML Model Development: Design, develop, and deploy machine learning models and AI solutions for real-world applications. Data Engineering & Integration: Build and optimize data pipelines to support AI/ML workflows and ensure seamless integration with existing systems. G...

Design, develop, and test high-performance C++ software applications for underground drilling and material handling systems. Collaborate with cross-functional teams to build reliable and efficient solutions that support automation and control systems in heavy equipment operations. Lead the development of C++ applications for underground drilling and material handling equipment, ensuring performance, reliability, and scalability. Architect and implement software modules for machine control, sensor integration, and automation workflows. Mentor and guide junior engineers, conduct code reviews, and enforce best practices in software development. Drive continuous improvement in software quality, ...

Build virtual agent solutions on Google's core Conversational AI platforms such as Dialogflow. Collaborate with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of contact center Artificial Intelligence (AI) solutions. Interact with partners and customer technical stakeholders to manage project scope, priorities, deliverables, risks, issues, and timelines for successful client outcomes. Advocate for customer needs to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud-based virtual agent solutions according to customer require...

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 AI services. Y...

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 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. Your t...

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 : Data Engineering 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 AI services. Your t...

Data Scientist: 3 to 8 Years - Job Description | Idexcel",jobdesc:[" Must-Have: ML, Deep learning, NLP, (AWS or Azure or Google cloud), Python, Computer Vision Minimum of 4+ years of relevant experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden kov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc) Knowledge of LLM Models Extensive experience in handling Time-series data Experience in working on anomaly detection Experience in handling structured and unstructured data Strong hands-on experience with statistical packages and ML l...

General Summary: Job Overview: The Qualcomm Cloud AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication , planning and execution skills are a must . We are seeking a highly skilled and motivated Language Model Engineer to join our team. The primary role of the engineer will be to train Large Language...

General Summary: As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience OR Master's degree in Computer Science, Electrical/Electronics Engineeri...

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 : Computer Vision Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Ag...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Key Roles in Generative AI Generative AI Developer: Responsibilities: Build and train generative models (e.g., GANs, VAEs). Optimize algorithms for performance and efficiency. Collaborate with cross-functional teams to integrate models into applications. Monitor and evaluate model performance in real-world scenarios. Proficiency in programming languages like Python, and experience with frameworks suc h as TensorFlow and PyTorch. Generative AI Specialist: Responsibilities: Develop and train advanced generative AI models. Research and implement cutting-edge algorithms for various applications. Work closely with teams to preprocess data for model training. Stay updated with industry trends to d...

Experience Level: 6+ years in AI/ML development, 2+ year in GenAI About the Role: We are seeking a talented and innovative Generative AI Developer to join our team and lead the development of custom GenAI applications. You will work on cutting-edge projects involving LLMs, multimodal models, and prompt engineering to build intelligent, scalable, and impactful solutions tailored to our business needs. Key Responsibilities: Design, develop, and deploy custom GenAI applications using LLM models (e.g., GPT, LLaMA, Claude, Gemini). Fine-tune and optimize pre-trained models for specific use cases. Build and integrate APIs for GenAI services into web and mobile applications. Collaborate with produc...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per busin...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...