8603 Deep Learning Jobs - Page 21

Primary Responsibilities: Lead the development of computer vision models for CAD element detection Design and implement object detection algorithms for architectural elements (walls, doors, windows, MEP components) Develop pattern recognition systems for electrical, plumbing, and HVAC symbols Create training pipelines for custom CAD datasets Optimize model performance for production deployment Required Technical Skills: Deep Learning Frameworks: PyTorch, TensorFlow, or similar Computer Vision: YOLO, R-CNN, object detection, semantic segmentation Image Processing: OpenCV, PIL, scikit-image Python Ecosystem: NumPy, pandas, matplotlib, scikit-learn Model Deployment: Docker, GCP ML platforms, AP...

Role & responsibilities Mandatory skll- Deep experience in Natural Language Processing (NLP and NLI), tiny/small language models, and base language model retraining (both transformer and BERT-based architectures). Extensive experience in conversational NLP systems. Experience in SLM adaptor fine-tuning, SFT training, and SLM pruning (base and instruct models). Experience in retriever frameworks in Q and A bots. Experience in contrastive learning and graph learning-based embedding methods with heterogeneous features. Preferably experience in building NLP active learning pipelines. Demonstrable experience in scaling your models to large-scale search systems is a plus. Very good critical reason...

We're seeking an experienced engineer with expertise in computer vision, deep learning, and AI to drive impactful solutions. Key Responsibilities Algorithm Development : Design and optimize computer vision and deep learning algorithms for 3D applications. Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision. Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet ...

Designing and implementing advanced state-of-the-art AI architectures, specializing in LLMs, SLMs, VLMs and MLLMs. Develop Gen AI workflows, fine tune and work with stakeholders. Perform scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety. Understand user behavior and requirements and develop accordingly. Write Generative AI pipelines to give contextual awareness of structured and unstructured data to LLMs. Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining. Create and own cloud native API to deploy ML models. Craft data warehousing strategy along with instrument...

Responsibilities: * Design, develop & deploy AI solutions using AIMl, NLP & ML algorithms * Optimize chatbots for conversational interfaces * Collaborate with cross-functional teams on project delivery

Hiring AI/ML Developers (2–5 yrs) in Bangalore! Tier-1 college grads preferred. Hands-on with Python, ML models, Deep Learning, and Computer Vision for real estate automation projects. kshitij.gawali@enlinkit.com

Key Responsibilities Collect, clean, and preprocess large datasets from multiple sources. Apply statistical analysis and machine learning techniques to solve business problems. Develop, validate, and deploy predictive models and algorithms. Visualize data insights and communicate findings to technical and non-technical stakeholders. Collaborate with product, engineering, and business teams to implement data-driven solutions. Monitor model performance and improve models based on new data and feedback. Stay current with emerging data science techniques and tools. Required Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field. Strong programmi...

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

Job Description : - At least 2 years of experience in computer vision and or deep learning for object detection. - Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc. and frameworks like Django or Flask. - Experience with OCR and NLP would be an added advantage. - Experience with any machine deep learning frameworks like Tensorflow, Keras, Scikit-Learn and PyTorch. - Experience in training models through GPU computing. - Ability to transform research articles into the working solutions to solve real-world problems. Strong experience in using both basic and advanced image processing algorithms for feature engineering Requirement : - Prov...

Role : AI Research Engineer - AI Pair Programming About Us : We are developing a cutting-edge AI pair programming extension for VS Code, aimed at revolutionising the way developers write code. Our mission is to enhance developer productivity and code quality through advanced AI assistance. We're seeking an experienced AI Research Engineer to join our innovative team at PureCode AI and help push the boundaries of AI in software development. Position Overview : We are looking for an AI Research Engineer with a strong background in Large Language Models (LLMs) and their applications in code generation and understanding. The ideal candidate will contribute to our research efforts in contextual r...

Job Summary: The Data Scientist will be responsible for analyzing complex datasets to extract valuable insights, build predictive models, and support data-driven decision-making. This role involves collaborating with business, engineering, and product teams to identify opportunities where data science can drive measurable business outcomes. Key Responsibilities: Collect, clean, and analyze large structured and unstructured datasets from multiple sources. Develop and implement machine learning (ML) and statistical models to solve real-world business problems. Work with stakeholders to define business objectives and translate them into analytical solutions. Design and execute A/B tests , data ...

Job Summary: The Data Scientist will be responsible for analyzing complex datasets to extract valuable insights, build predictive models, and support data-driven decision-making. This role involves collaborating with business, engineering, and product teams to identify opportunities where data science can drive measurable business outcomes. Key Responsibilities: Collect, clean, and analyze large structured and unstructured datasets from multiple sources. Develop and implement machine learning (ML) and statistical models to solve real-world business problems. Work with stakeholders to define business objectives and translate them into analytical solutions. Design and execute A/B tests , data ...

Job Summary: The Data Scientist will be responsible for analyzing complex datasets to extract valuable insights, build predictive models, and support data-driven decision-making. This role involves collaborating with business, engineering, and product teams to identify opportunities where data science can drive measurable business outcomes. Key Responsibilities: Collect, clean, and analyze large structured and unstructured datasets from multiple sources. Develop and implement machine learning (ML) and statistical models to solve real-world business problems. Work with stakeholders to define business objectives and translate them into analytical solutions. Design and execute A/B tests , data ...

Job Summary: The Data Scientist will be responsible for analyzing complex datasets to extract valuable insights, build predictive models, and support data-driven decision-making. This role involves collaborating with business, engineering, and product teams to identify opportunities where data science can drive measurable business outcomes. Key Responsibilities: Collect, clean, and analyze large structured and unstructured datasets from multiple sources. Develop and implement machine learning (ML) and statistical models to solve real-world business problems. Work with stakeholders to define business objectives and translate them into analytical solutions. Design and execute A/B tests , data ...

Job Summary: The Data Scientist will be responsible for analyzing complex datasets to extract valuable insights, build predictive models, and support data-driven decision-making. This role involves collaborating with business, engineering, and product teams to identify opportunities where data science can drive measurable business outcomes. Key Responsibilities: Collect, clean, and analyze large structured and unstructured datasets from multiple sources. Develop and implement machine learning (ML) and statistical models to solve real-world business problems. Work with stakeholders to define business objectives and translate them into analytical solutions. Design and execute A/B tests , data ...

Responsibilities: Design and develop machine learning and deep learning models. Work with large datasets for data cleaning, preprocessing, and feature engineering. Implement algorithms for prediction, classification, NLP, or computer vision tasks. Work from home

Research Engineer DEPARTMENT: Research and Development BUSINESS UNIT: Corporate REPORTS TO: Head of AI DIRECT REPORTS: No POSITION OVERVIEW The Research Engineer plays an important role to develop models and prototypes in areas such as Artificial Intelligence, Machine Learning, Optimization, and various mathematical algorithms to solve supply chain problems and confirm the value and potential business value quantification. RESPONSIBILITES : Assist senior team members for defining and prototyping mathematical, optimization, machine learning models for select supply chain problems. Build proof of concepts based on the guidance from senior team members Study and keep current on supply chain, ma...

As a Full Stack Developer in the Concur Solution Area at SAP, your role involves developing reusable AI capabilities to solve business problems for products such as Joule and GenAI Hub. You will utilize Python-based machine learning and deep learning models like BERT or ROBERTA, requiring a deep understanding of how these models work. Your responsibilities will include: - Collaborating closely with stakeholder teams such as outbound PM team and LoB partner team - Developing AI-based solutions and leveraging Robotics to transform intelligence into action - Writing pitch documents outlining use cases, proposed solutions, work items, timelines, and impact - Partnering with the product owner to ...

Role Overview: You will be part of the pioneering team at Digilytics, working on the development of intelligent mortgage solutions in International and Indian markets. As a Data Scientist with expertise in NLP and computer vision, your primary focus will be on applying machine learning techniques for accurate data extraction from various document formats, including scans and handwritten documents. Key Responsibilities: - Develop a learning model for high accuracy extraction and validation of documents, particularly in the mortgage industry. - Utilize state-of-the-art language modelling approaches, such as transformer-based architectures, to integrate NLP, computer vision, and machine learnin...

As an Associate Data Science Engineer at our company, you will be responsible for implementing AI/ML solutions and developing cloud-native applications. You will work on cutting-edge AI technologies to build meaningful products and solutions. Here's what you will be doing: Responsibilities: - Perform high-level work independently and collaboratively as a project member. - Collaborate with the Product Management team to elicit AI/ML use case specific requirements and evaluate different approaches. - Develop Computer Vision, NLP, Deep Learning, and multi-modal Gen AI based application features and demos based on requirements. - Experiment with new tools, technologies, and frameworks in ML, DL,...

As a Machine Learning Engineer at Adobe Express, you will play a crucial role in developing ML models, platforms, and services to enhance the user experience. Here's what you'll be doing: - Research, design, and implement advanced ML models and pipelines for training and inference at scale, focusing on computer vision, NLP, deep learning, and generative AI techniques. - Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows for rich, context-aware content generation and dynamic user experiences. - Collaborate with cross-functional teams to translate product requirements into ML solutions, moving from proof-of-concept to fully productionized...

**Job Description** As a candidate for the position with Uplers" client - Newton School, you will have the opportunity to contribute to redefining tech education in India with a mission to bridge the employability gap for graduates. Newton School, backed by global investors, is collaborating with renowned universities to nurture the next generation of industry-ready tech leaders. **Key Responsibilities** - Teach Applied AI/ML: Design and deliver practical, project-based courses covering Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, and GenAI. - Develop Industry-Relevant Curriculum: Assist in updating the AI/ML curriculum to incorporate current industry tools, tech...

You will be part of the AI Works team, where your primary responsibility will be developing and deploying AI/ML based solutions across core business processes and systems. Key Responsibilities: - Hands on experience in development and deployment of ML/DL/NLP based solutions, primarily using Python. - Applied knowledge of machine learning, Deep Learning technologies. - Experience in working with various open source tools and technologies such as Python, Spark, etc. ML / DL frameworks like TensorFlow, AutoML, PyTorch, etc. - Knowledge and Experience in working with cloud stack AWS, Azure for enabling on cloud solution deployment. - Strong project management skills with exposure to agile projec...

You will be joining Mirketa Inc., a fast-growing technology consulting firm that specializes in Salesforce solutions and digital transformation. As the Director of AI Practice, your role will involve leading AI initiatives, driving innovation, and establishing a high-impact AI practice within the company. **Key Responsibilities:** - **Practice Development** - Define the strategic roadmap for Mirketa's AI practice, including capabilities, service offerings, and go-to-market strategies. - Stay updated with AI trends, tools, and frameworks to ensure competitiveness. - Develop AI solutions within the Salesforce ecosystem and explore opportunities in other AI platforms such as OpenAI, AWS, Google...

Role Overview: As a Gen AI Programmer at Ubisoft, you will be a key member of the team responsible for contributing to machine learning and generative AI projects in various areas of game development like Art, animation, sound, narrative, etc. Your role will involve conducting research and development in the fields of machine learning and generative AI, designing and implementing machine learning models and algorithms, collaborating with stakeholders to integrate AI solutions into products and services, and staying updated with the latest advancements in AI and machine learning technologies. Additionally, you will mentor junior team members, provide technical guidance, and ensure effective c...