8794 Deep Learning Jobs - Page 50

Role & responsibilities Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. Preferred candidate profile Graduate degree or higher with courses in programming, econ...

Role & responsibilities Duties and Responsibilities include but are not limited to: Design and build ML pipelines for OCR extraction, document image processing, and text classification tasks. Fine-tune or prompt large language models (LLMs) (e.g., Qwen, GPT, LLaMA, Mistral) for domain-specific use cases. Develop systems to extract structured data from scanned or unstructured documents (PDFs, images, TIFs). Integrate OCR engines (Tesseract, EasyOCR, AWS Textract, etc.) and improve their accuracy via pre-/post-processing. Handle natural language processing (NLP) tasks such as named entity recognition (NER), summarization, classification, and semantic similarity. Collaborate with product manage...

Key Responsibilities: Develop, fine-tune, and deploy vision-language models (VLMs) for real-world applications. Work with multimodal datasets, ensuring proper alignment between visual and textual data. Optimize model performance for speed, accuracy, and scalability in production environments. Experiment with contrastive learning, retrieval-augmented generation (RAG), and instruction tuning for VLMs. Collaborate with ML engineers, product teams, and researchers to integrate VLMs into various applications. Stay updated with the latest research in multimodal AI, transformers, and diffusion models. Implement efficient inference techniques (e.g., quantization, distillation) for edge and cloud dep...

Key Responsibilities: Develop, fine-tune, and deploy vision-language models (VLMs) for real-world applications. Work with multimodal datasets, ensuring proper alignment between visual and textual data. Optimize model performance for speed, accuracy, and scalability in production environments. Experiment with contrastive learning, retrieval-augmented generation (RAG), and instruction tuning for VLMs. Collaborate with ML engineers, product teams, and researchers to integrate VLMs into various applications. Stay updated with the latest research in multimodal AI, transformers, and diffusion models. Implement efficient inference techniques (e.g., quantization, distillation) for edge and cloud dep...

General Summary: Job Overview: 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 Models (LLMs) from scratch and fine-tune existing LLMs on various datasets using state-of-the-art techniques. Responsibilities: Model architecture optimizations...

General Summary: The Qualcomm Cloud Computing 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. Key Responsibilities Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers,...

Roles & Responsibilities: Build and deploy predictive and prescriptive machine learning models to solve business problems. Collect, clean, and transform structured/unstructured data using Python, SQL, and data pipelines. Conduct exploratory data analysis (EDA), identify patterns, and generate actionable insights. Collaborate with business, analytics, and engineering teams to define data-driven solutions. Design and automate dashboards and KPIs to monitor model performance and business impact. Apply statistical, ML, and deep learning techniques for classification, regression, clustering, and NLP tasks. Present findings and recommendations to stakeholders through visual storytelling and report...

Role Overview: As an AI Specialist, you will play a crucial role in transforming enterprise operations by implementing intelligent automation and data-driven decision-making. Your efforts will directly impact the utilization of AI to enhance efficiencies, elevate strategic insights, and generate scalable value across ERP systems. By fostering innovation and promoting continuous improvement, you will contribute to shaping an organization that is prepared for the future, embraces change, and thrives on technological advancements. Key Responsibilities: - Collaborate with cross-functional teams to identify operational challenges and discover high-impact AI opportunities aligned with business obj...

As a Data Architect-AI/ML at Pine Labs, you will play a crucial role in analyzing complex financial data, developing machine learning models, and collaborating with various teams to deliver impactful results. Your responsibilities will include: - Analyzing and interpreting complex financial data to identify trends, patterns, and actionable insights. - Developing and implementing machine learning models for predictive analytics, classification, regression, etc. - Collaborating with product, engineering, and business teams to define data science requirements and deliver impactful results. - Cleaning, preprocessing, and transforming data to ensure quality and consistency. - Using data visualiza...

As an AI/ML Engineer at our client's company in Bengaluru, you will be responsible for designing, building, and deploying cutting-edge machine learning models and AI-driven applications that have a direct impact on business outcomes. You will collaborate with cross-functional teams, experiment with the latest advancements in AI, and bring innovative ideas to life through scalable solutions. **Key Responsibilities:** - **Model Development:** Design and implement machine learning models and algorithms for real-world applications. - **Prototyping:** Build Proof-of-Concept (POC) applications to validate new ideas and demonstrate business value. - **Data Engineering:** Preprocess, clean, and tran...

As a Computer Vision Engineer at our company, you will play a crucial role in transforming business challenges into data-driven machine learning solutions. You will collaborate with product teams to offer insights from complex data sources and drive product direction through data-based recommendations. Key Responsibilities: - Design, develop, and implement computer vision algorithms and models for image and video analysis, object detection, recognition, and tracking. - Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for computer vision solutions. - Conduct research to stay updated with the latest advancements in com...

As an intern at CONXAI, you will have the opportunity to work on cutting-edge computer vision and deep learning challenges in product development. Your role will involve collaborating with the team to understand and solve computer vision/deep learning problems. You will be responsible for developing and implementing ML solutions, which includes tasks such as data preprocessing, model design, and performance evaluation. Additionally, you will need to integrate these solutions into the codebase using strong software engineering practices. Effective communication of results and analysis will also be a key aspect of your responsibilities. **Key Responsibilities:** - Collaborate with the team to ...

You will be responsible for leading the research, design, and development of advanced computer vision models for tasks such as object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. You will need to translate business requirements into scalable scientific solutions by utilizing cutting-edge deep learning and classical computer vision techniques. Additionally, you will design and conduct experiments to assess the performance, robustness, and accuracy of computer vision models in real-world production settings. Collaborating with cross-functional teams, including software engineering, product, and data teams, to integrate vision models into applications is also a ke...

As an experienced Architect specialising in Computer Vision software, your role will be to lead and shape various development initiatives by marrying deep knowledge and expertise in Computer Vision algorithms with end product realisations. You will be responsible for designing robust software architectures, integrating advanced algorithms, and optimizing solutions for real-world UAV applications like Vision based UAV navigation, object detection/tracking, obstacle avoidance, etc. This may involve processing not only camera data but also other sensor data such as radar, inertial, GPS, etc. Previous experience in developing multi-modal architectures for applications like Advanced Driver Assist...

As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enable the development of cutting-edge technology. You will collaborate across functional teams to meet and exceed system-level requirements and standards. **Key Responsibilities:** - Apply Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations. - Model, architect, and develop machine learning hardware co-designed with machine learning software for inference or training solutions. - Develop optimized software to enable AI models deployed o...

You will be responsible for overseeing business activities, models, and methodologies related to investment risk with a focus on developing new tools and methodologies for risk quantification. Your key responsibilities will include: - Designing, developing, and deploying advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across various business units. - Collaborating with teams to design and oversee the end-to-end lifecycle of AI/ML initiatives, from problem scoping, data engineering, model development, validation, deployment, to monitoring. - Leading the model development process, including tasks such as data wrangling/analysis,...

Role Overview: As a member of Capgemini, you will lead the design and delivery of advanced AI and machine learning solutions that are scalable, robust, and aligned with business objectives. You will collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to architect innovative systems leveraging machine learning, deep learning, NLP, and generative AI technologies. Your role will involve driving innovation, technical leadership, and continuous improvement in AI/ML solution delivery. Key Responsibilities: - Design and deliver AI/ML solutions with a strong foundation in machine learning, deep learning, NLP, and generative AI. - Architect scalab...

Job Title: Gen AI Data Scientist / Senior Data Scientist Work Mode: Onsite (Work From Office) Location: Whitefield, Bangalore About the Role We are looking for a talented and passionate Data Scientist / Senior Data Scientist to join our Advanced Analytics and Big Data team. You will drive data-driven decisions in product development by leveraging advanced AI, ML, and cloud computing technologies. This is a hands-on, full-stack AI role that combines technical depth with creative problem-solving in an international, agile environment. Key Responsibilities End-to-end ownership of AI-driven solutions from prototyping to production. Design and build AI Conversational Voice Chatbots using NLP, NLU...

AI/ML Technical Architect Job Title AI/ML Technical Architect Reporting Structure Portfolio Manager Education Bachelors degree in engineering (Computer Science, AI, IT or equivalent) or Master’s in AI, Machine Learning, or Data Science is preferred. Experience/ Qualifications 10–12 years of hands-on experience in software design and architecture, with at least 5 years in AI/ML solutioning Hands-on Experience on design, development, deployment and monitoring of AI / ML applications, Python applications. Experience in designing scalable AI/ML architectures for enterprise applications. Experience on design and development of machine learning algorithms, deep learning frameworks, and predictive ...

Job Title: AI/ML Engineer Onsite Drive 22nd october Experience Required: 4 to 7 Years Location: Hyderabad Employment Type: Full-Time Job Summary: We are seeking a skilled and innovative AI/ML Engineer with 47 years of experience to join our dynamic data science and engineering team. The ideal candidate will have strong expertise in building and deploying machine learning models and AI solutions in production environments. You will work closely with data scientists, software engineers, and business stakeholders to solve complex problems using cutting-edge AI/ML technologies. Key Responsibilities: Design, develop, train, and deploy machine learning models for real-world business problems. Perf...

Role & responsibilities JD- Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment JD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI...

Data Science -Machine Learning - 7+ Years - Remote We are looking for a professional as Data Scientist with proficiency over Python and SQL or Azure. Your Future Employer: - You will be working with a prestigious organization known for its commitment to diversity, equality and inclusion. They offer a dynamic work environment, opportunities for career growth, and a supportive team culture. Location: - Remote Responsibilities 1. Superior analytical and problem-solving skills 2. High Proficiency in Python Coding along with good knowledge of SQL 3. Knowledge of using Python Libraries such as scikit-learn, scipy, pandas, numpy etc. 4. Proficient hands on experience over using NLP. 5. Deep rooted ...

Role & responsibilities 1) Software Development: Design, develop and deploy machine learning models and algorithms using clean, efficient, and maintainable codes for efficient workflows. Maintain clear and concise documentation of code, APIs, and software components to aid in knowledge sharing and future development. 2) Security and Collaboration: Implement best practices of security, including data encryption, input validation, and safe handling of sensitive data and work closely with other team members to ensure the successful implementation of projects. Preferred candidate profile Candidate must be proficient in Python, OOPS, Computer Vision, Deep Learning (CNNs, TensorFlow/PyTorch), Data...

Okta is seeking a highly skilled Full-Stack Engineer with deep expertise in AWS Bedrock, generative AI, and modern software development to join our fast-moving team at the intersection of developer experience, machine learning, and enterprise software. As part of the Okta Business Technology (BT) team, you will build cutting-edge tools that make AI development intuitive, collaborative, and scalable. If you're passionate about building next-generation AI applications and empowering developers through innovative platforms, this is the role for youJob Duties and Responsibilities Design and develop full-stack applications that integrate seamlessly with Amazon Bedrock AI agents. Build scalable, p...

Additional Parameters: - Experience in retail or e-commerce industry preferred - Knowledge of machine learning and predictive modeling - Strong programming skills in languages such as Python, R, or SQL - Experience with data visualization tools such as Tableau or Power BI - Ability to work in a fast-paced and dynamic environment - Excellent communication and collaboration skills Job Summary: As a Data Scientist at Titan, you will be responsible for analyzing large datasets to identify trends and patterns that will drive business decisions. You will work closely with cross-functional teams to develop and implement data-driven solutions that will improve customer experience and increase sales....