1125 Computer Vision Jobs - Page 40

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Assesses and interprets customer needs and requirements Identifies solutions to non-standard requests and problems Solves moderately complex problems and/or conducts moderately complex analyses Works with minimal guidance; seeks guidance on only the most complex tasks Translates concepts into practice Provides explanations and information to others on difficult issues Coaches, provides feedback, and guides others Acts as a resource for others with less experience Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualification Undergraduate degree or equivalent experience

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design and implement scalable ML solutions using state-of-the-art generative models Fine-tune and optimize large language models (LLMs) for domain-specific applications Collaborate with cross-functional teams to integrate AI capabilities into products and services Conduct research and stay up-to-date with the latest advancements in generative AI and deep learning Develop pipelines for data preprocessing, model training, evaluation, and deployment Ensure model performance, fairness, and interpretability through rigorous testing and validation Mentor junior engineers and contribute to knowledge sharing within the team Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with at least 2 years focused on Generative AI Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques Experience with ML Ops tools and cloud platforms (AWS, GCP, Azure) Familiarity with model evaluation techniques and bias/ethical AI metrics Proficiency in Python and ML frameworks such as TensorFlow, Py Torch, Hugging Face Transformers Proven excellent problem-solving skills and ability to work in a fast-paced environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data, and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is chartered to drive value on high impact enterprise AI problems, democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI) and drive Responsible AI. Projecting to deliver $8.4B of benefit value over the next 5 years through these efforts as well as reduce risk through safe, accurate, and unbiased AI, this is a key focus of the enterprise. As a Lead AI/ML Software Engineer, you will be responsible for the design, implementation, and scaling of AI systems for health applications at Optum. You will be responsible for the development and execution of the vision for enabling solutions on United AI Studio (enterprise ML platform). As a Lead Engineer, you will ensure technical tasks and properly detailed, designed and executed per existing standards. You are expected to play key role in design activities and scoping and mentor juniors in execution. Primary Responsibilities Build platform features to for AI/ML lifecycle include data processing, AI inference (batch, real-time, hybrid) and end-to-end MLOps for non-generative and generative use-cases Utilize deep knowledge of AI/ML systems engineering to define future architecture patterns for a multi-cloud platform Develop robust, scalable, and maintainable code that meets the high standards of quality and performance. Utilize engineering expertise to coach and influence enterprise data scientists and ML engineers to adopt scaleable, robust process architecture for AI/ML use-cases. Stay up-to-date with the latest advancements in AI/ML technology and introduce innovative techniques and tools to the team. Mentor and develop junior engineers on the team. Participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations Required Qualifications Master’s degree or Ph.D. with 7+ years of relevant experience or a bachelor's degree and at least 9+ years of relevant experience 7+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer, with at least 5+ years in senior engineering roles with increasing scope 5+ years of demonstrable experience with AI/ML Engineering including data pipelines, model inference and MLOps for batch and real-time endpoints on cloud platforms (e.g. Databricks, Azure, AWS, GCP, Snowflake) 7+ years of experience with demonstrable proficiency in programming languages such as Python or Java 5+ years of demonstrable proficiency with querying and data processing tools (e.g. PySpark, SQL) as well as command-line tools (shell, regex, cloud CLI) Preferred Qualifications Experience with DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code. Deep understanding of AI/ML lifecycle and variations for different use-cases (non-generative, generative) Experience with AI/ML development in industries such as healthcare, aerospace, insurance Proven success in collaborating with geographically distributed team

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. Mandatory Technical Skills: • Strong statistical and machine learning intuition to address new and unique challenges. • Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications. • Strong proficiency in Python with OOP principles - ( 4 years of experience) • Experience developing APIs using Flask or Fast API frameworks ( 2 years of experience) • Integration knowledge with front-end applications ( 1 year of experience) • Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - ( 3 years of experience) • Familiarity with task management tools (e.g., Jira, Azure DevOps) - ( 2 years of experience) • Proficiency in databases, including SQL, NoSQL and vector databases ( 2 + years of experience) • Working knowledge of ML pipelines and CI/CD. • Experience with at least one of the cloud platforms (Azure, AWS, GCP) - ( 2 + years of experience) Core Excellence Areas (CEA): Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying): NLP Generative AI (NLP) Computer Vision Time Series Forecasting Recommendation Systems and Optimization Roles & Responsibilities: • Advanced AI/ML/Gen AI Implementation: o Leverage advanced AI and machine learning techniques to address complex business challenges. o Design, develop, and deliver innovative data science solutions. • Architectural Design: o Develop end-to-end generative AI solutions. o Build scalable architectures for AI/ML models and applications. • Team Leadership: o Lead and mentor a team of data scientists, fostering professional growth and technical excellence. o Provide strategic and technical guidance to ensure the team delivers high-quality projects. • Cross-functional Collaboration: o Work closely with data engineering, product, and business teams to align on objectives and integrate solutions. • Client Engagement : Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships. • Innovation: Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology. Nice to have Skills: • Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing. • Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau) • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). • Experience with cloud platforms and MLOps practices. • Project management skills to lead initiatives effectively. • Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases. Experience & Educational Qualifications: • Minimum of 5+ years of experience solving complex machine learning problems. • At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas. • Minimum of 1 year leading and managing ML projects end-to-end. • Bachelors degree in computer science, Data Science, or related field (Master’s/PG AI/ML/DS preferred).

• Candidates who are capable of training future data scientists. • Familiarity with deep learning frameworks such as TensorFlow or PyTorch. • Proficiency in Python and Computer Vision.

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers

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.

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Role & responsibilities Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives Preferred candidate profile Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Job Summary We are seeking an AI Leader for building Guardrail Platform to drive the design, deployment, and governance of AI guardrails that ensure ethical, responsible, and compliant AI operations . This role involves collaborating with cross-functional teams to implement AI fairness, explainability, bias mitigation, security, and regulatory compliance frameworks across AI/ML pipelines. Roles & Responsibilities AI Guardrail Strategy & Implementation Define and implement AI guardrails to ensure ethical AI development, risk mitigation, and compliance. Establish automated monitoring for AI fairness, bias detection, and explainability. Lead the operationalization of Responsible AI (RAI) principles across the organization. AI Risk & Compliance Management Align AI models with regulatory standards (e.g., GDPR, AI Act, CCPA, NIST AI RMF). Develop governance frameworks for model validation, auditing, and risk assessment . Collaborate with legal, compliance, and security teams to ensure AI transparency. AI Model Security & Reliability Implement guardrails against adversarial attacks, data poisoning, and model drift . Establish secure AI deployment standards to prevent unauthorized AI model access or misuse. Establish DevSecOps pipeline teams to integrate AI security best practices . Operationalization & AI Governance Define AI monitoring KPIs for continuous risk assessment and compliance tracking. Develop automated pipelines to flag high-risk AI behaviors and decision anomalies. Foster a culture of explainable AI (XAI) & transparency for AI-driven decision-making. Cross-functional Leadership & Innovation Partner with product, legal, and engineering teams to integrate AI guardrails into MLOps workflows . Stay ahead of AI regulatory trends, industry best practices, and emerging risks . Competencies Required Skills Education Skills (NOT TO BE USED)

Minimum of 6 years of experience as a Software developer At least 2-3 years of experience in AI / ML , Generative AI technologies and enterprise application development Technical Skills: Proficiency in programming languages such as Python, Java, or C++ Expertise in developing high-performing RAG-based chatbots and multi-modal AI agents, fine-tuning LLMs Strong understanding of AI/ML frameworks and librariesExperience with Azure Knowledge of data structures, algorithms, and software design principles Communication Skills: Strong verbal and written communication skills Ability to effectively communicate complex technical concepts to non-technical stakeholders Other Qualifications: Experience with Natural Language Processing (NLP) and computer vision Familiarity with DevOps practices and tools Certification in AI/ML or related fields

Job Summary We are hiring a Junior AI Engineer to design and implement AI-driven automation solutions. You'll work with cross-functional teams to streamline operations and reduce manual tasks using machine learning, APIs, and scripting. Training will be provided , making this a great opportunity for candidates with a strong foundation and a desire to grow in AI and automation. Responsibilities Automate repetitive tasks using AI/ML or Python scripting. Integrate AI features into web apps with development teams. Connect ML models to systems like Frappe/ERPNext via APIs. Build and maintain clean, well-documented automation workflows. Prototype tools using speech-to-text , OCR , or computer vision . Stay updated on new AI tools and suggest improvements. Qualifications: Proficient in Python and basic scripting. Exposure to AI/ML through projects, coursework, or certifications. Familiar with OpenCV, Numpy, Pandas, or PyTorch. Experience or familiarity with Large Language Models (LLMs) and Generative AI technologies (e.g., GPT, Grok). Hands-on experience or understanding of LangChain and its applications in building LLM-powered workflows. Understanding of APIs and web integrations. Bachelors degree (or pursuing) in Computer Science, Data Science, Engineering, or a related field. Strong problem-solving skills and eagerness to learn.

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.

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.

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.

Lead Generative AI / Machine Learning / Artificial Intelligence Job DescriptionRole: Lead - Generative AI/ Maching Learning/ Artificial IntelligenceExperience: 5 - 10 yearsJob Location: ChennaiAbout OJ Commerce OJ Commerce (OJC), a rapidly expanding and... Job Description Role: Lead - Generative AI/ Maching Learning/ Artificial Intelligence Experience: 5 - 10 years Job Location: Chennai About OJ Commerce OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs more than 2,500 brands across eight primary categories. This role involves driving the marketing efforts for a product line with a compound annual growth rate (CAGR) of 70% to achieve the targeted revenue run rate of US$ 200 million in three years. As we continue to forge new partner relationships, our flagship website, , has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Job Summary: We are seeking a highly experience and motivated Lead Engineer with deep expertise in Generative AI, Machine Learning and Artificial Intelligence . The ideal candidate will drive the design, development and deployment of AI/ML solutions, lead technical teams and collaborate with cross-functional stakeholders to solve real-world problems using cutting-edge technologies. Key Responsibilities: Lead and mentor a team of AI/ML engineers and researchers. Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers). Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment. Work with large-scale datasets to develop, fine-tune, and evaluate models. Collaborate with product, design, and engineering teams to integrate AI capabilities into applications. Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable. Conduct technical reviews and provide guidance on best practices in AI model development. Ensure ethical, secure, and responsible AI development. Must-Have Skills & Experience: 5 10 years of hands-on experience in AI/ML, including leadership responsibilities. Strong understanding of deep learning , NLP , computer vision , or generative models . Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers). Proficient in ML libraries and tools such as TensorFlow , PyTorch , scikit-learn , Keras , etc. Solid programming skills in Python ; experience with other languages like Java , C++ , or Go is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices. Experience deploying models in production environments (APIs, microservices, containers). Strong problem-solving, communication, and analytical skills. Nice-to-Have: Research contributions or publications in AI/ML conferences or journals. Experience working with multi-modal models (text + image + audio). Knowledge of Reinforcement Learning , Prompt Engineering , or AutoML . Exposure to data governance , model explainability , and AI ethics . What we Offer Competitive salary Medical Benefits/Accident Cover Flexi Office Working Hours Fast paced start up Submit Your Application You have successfully applied You have errors in applying Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium)

Sberbank is looking for NLP and Speech Recognition 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 Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

In this role, you will design and develop Artificial Intelligence models and algorithms to solve Telecom network and business problems. You will work closely with engineering, operations, and site reliability engineering (SRE) teams to ensure seamless integration of Artificial Intelligence into workflows and deliver measurable value across the organization. Additionally, you will partner with engineering and delivery teams to embed Artificial Intelligence solutions into existing systems and processes, driving continuous innovation and operational efficiency. If you have a flair for Artificial Intelligence and a passion for solving complex problems, this role is for you. You have: An Engineering degree in Computer Science or equivalent (specialization in artificial intelligence will be a plus) with 4+ years of experience in AI, machine learning, or data science . Exposure to Telecom, cloud, or network engineering is a plus. Practical experience in Python, TensorFlow or PyTorch, LangChain, Hugging Face, and vector databases. It would be nice if you also had: Experience with cloud platforms like AWS, Azure, or Google Cloud, OpenShift/ Kubernetes/Helm, and MLOps tools. Familiarity with big data technologies such as Hadoop or Spark. Knowledge of natural language processing (NLP) and computer vision. Understanding of Telecom networks (5G, 4G, SDN, NFV, OSS/BSS), DevOps, and automation will be a plus. Design and develop artificial intelligence models and algorithms to address Telecom network and business challenges. Integrate Artificial Intelligence solutions into existing systems by partnering with engineering and delivery teams. Leverage large language models (LLMs), multi-agent systems, and automation to enhance network operations, including self-healing and incident response. Perform research and apply the latest Artificial Intelligence advancements to improve model performance and network resilience. Analyze complex data to generate insights for network planning, service management, and automation. Document methodologies and spread knowledge to drive ongoing innovation and partnership.

We are looking for a talented and highly motivated engineer to help advance our effort on creating the most efficient Multi-Model LLM models, with a specific focus on creating value for Enterprises. The candidate will be responsible for training/finetuning of MLLM models, developing prototype solutions to IBM z17 AIU hardware, working closely with IBM AIU teams, and IBM scientists in a flexible and fun environment. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * 5+ years programming and hands on experience in python * Experience with Finetuning Multi-Model LLM models and internals of training stacks * Experience with Pytorch and FSDP * Exposure to lare scale distributed training tuning * Exposure to working with both text and image datasets Preferred technical and professional experience Exposure to Hugging Face Ecosystem, Trasnformer Models, Vision Models, and Diffusion Models Exposure to distributed foundation model training BTech/Masters/PhD in Computer Science or allied fields

Gen AI Engineer Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

About the Role: Looking for a highly experienced Computer Vision Specialist / AI Engineer to join our dynamic team. The ideal candidate will have a proven track record of delivering real-world computer vision and deep learning solutions, particularly in smart monitoring and edge & cloud AI applications. This role demands deep technical expertise in designing and deploying vision-based solutions such as object detection, object tracking, facial recognition, behavioral analysis, ANPR and OCR. You will lead the development and deployment of scalable, production-grade AI systems. Lead the architecture, development, and deployment of computer vision systems from concept to production. Develop and optimize advanced vision algorithms and deep learning models for real-time performance. Optimize AI/ML models for deployment across edge, cloud, and hybrid environments using tools like TensorRT, TFLite, OpenVINO, and ONNX. Collaborate with hardware and software engineering teams to ensure system-wide performance optimization. Conduct thorough testing, benchmarking, and performance tuning of models and systems. Required Skills & Experience: 25 years of hands-on experience in Computer Vision, Deep Learning, and AI model deployment. Strong proficiency in Python , with production-level experience in writing clean, modular, and scalable code. Familiar with frameworks and tools such as OpenCV, TensorFlow, PyTorch, YOLO, MediaPipe, Dlib. In-depth knowledge of: Convolutional Neural Networks (CNNs) o Object detection and tracking o Facial recognition techniques o Video-based behavioral analysis RTSP streaming, CCTV camera systems, NVR/DVR integration Deployment experience on platforms including: Edge devices (NVIDIA Jetson, Raspberry Pi, Coral Edge TPU) o Cloud (AWS/Azure/GCP) with containerization tools (Docker) Strong understanding of MLOps tools and workflows, including model tracking, data versioning, monitoring, and retraining. Nice to Have: Familiar with LLM and Vision Language Models

A Generative AI (GenAI) architect designs and implements GenAI architecture, focusing on the technical development, deployment, and optimization of GenAI solutions They bridge the gap between AI technologies and practical business applications, ensuring that AI solutions deliver tangible benefits GenAI architects collaborate with various teams to align AI solutions with business needs, choose the right models and tools, and manage risks associated with AI adoption Job Title: Sr Gen AI Technical Architect Location: Offshore, Preferably Pune, Bangalore, Hyderabad Job Description:The ideal candidate will be responsible for building and launching enterprise applications using Generative AI technologies This role requires hands-on development, team management, technical reviews, and accurate technical estimations Key Responsibilities:Enterprise Application Development:Design, develop, and deploy enterprise applications using Azure Open AI Ensure the applications are scalable, robust, and secure Team Management:Lead and manage a team of developers and engineers at the offshore location Provide technical guidance, mentorship, and support to team members to ensure high performance and professional growth Technical Reviews:Conduct regular technical reviews of the teams work to ensure adherence to best practices and quality standards Provide constructive feedback and implement improvements where necessary Technical Estimations:Work on technical estimations of the new opportunities, including time, resources, and cost Collaborate with project managers and stakeholders to ensure accurate and realistic project planning Collaboration and Communication:Collaborate with onshore teams and stakeholders to align on project goals and deliverables Maintain clear and effective communication channels to ensure smooth project execution Innovation and Improvement:Stay updated with the latest advancements in Generative AI and related technologies Continuously seek opportunities to improve processes, tools, and methodologies Qualifications: Experience:Minimum of 9 years of experience as an Architect, Software developer At least 2-3 years of experience in AI / ML , Generative AI technologies and enterprise application development Technical Skills:Proficiency in programming languages such as Python, Java, or C++ Expertise in developing high-performing RAG-based chatbots and multi-modal AI agents, fine-tuning LLMsStrong understanding of AI/ML frameworks and librariesExperience with AzureKnowledge of data structures, algorithms, and software design principles Leadership Skills:Proven experience in leading and managing technical teams Excellent problem-solving and decision-making abilities Communication Skills:Strong verbal and written communication skills Ability to effectively communicate complex technical concepts to non-technical stakeholders Other Qualifications:Experience with Natural Language Processing (NLP) and computer vision Familiarity with DevOps practices and tools Certification in AI/ML or related field

Select with space bar to view the full contents of the job information. Staff Researcher - Multimodal Lab Job Details | Dolby Laboratories, Inc. Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Staff Researcher - Multimodal Lab Dolby Laboratories, Inc. Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits. This position is based in Bangalore. We work jointly from the office and offer some flexibility to work from home. Summary Dolby s research division is looking for a volumetric imaging researcher to join Dolby s research efforts to develop the next generation of volumetric or spatial scene understanding and representation technologies. In this position you will join the Multimodal Experience Lab within Dolby s Advanced Technology Group. You will work with a seasoned team of researchers to develop volumetric scene representation, novel view synthesis, scene analysis and understanding, and scene rendering technologies. You will be the lead contributor to research the state of the art and then push beyond, specifically in domains related to the composition and de-composition of volumetric scenes, as well as understanding and manipulating lighting, shadows, and occlusion. The researcher is responsible for performing fundamental new research, transferring technology to product groups, and drafting patent applications. Main responsibilities Perform cutting-edge research in computer graphics and view synthesis Work as a part of a top-notch research team. Define and execute research roadmaps Use good development methodology, including quality metrics and test content, to validate algorithmic solutions Use AI and deep learning techniques to create new solutions and enhance existing applications. Share knowledge via technical whitepapers, publications, and internal presentations Transfer technology to product groups and draft patent applications. Stay abreast of state-of-art research in the computer graphics/computer vision fields Requirements Ph.D. in Computer Science, Electrical Engineering, Applied Math, Physics, or similar Strong publication record with publications in major conferences/journals Strong background in view synthesis and/or light-field research Familiarity with various scene representation such as Gaussian Splatting or NeRF Demonstrated proficiency in computer graphics/computer vision R&D Experience with research-oriented programming languages (Python, Matlab, or C/C++) Experience building and testing models in Pytorch/Tensorflow environments Excellent written and verbal communication skills are required Strong team player, able to work with colleagues in research and software development fields Strong expertise in deep learning-based solutions Nice to have: Experience with real-time graphics (OpenGL/Cuda/DirectX/Vulkan) Experience with Pytorch3D Experience with Game engines (Unreal, Unity) Experience with XR environments, capture, and devices

Title: Robotics Engineer Location: Pune About Peppermint Robotics Peppermint is an autonomous robotics company co-started out of SINE IIT-Bombay and supported by Qualcomm. With a focused goal of expediting the advent of service robots, Peppermint designs and makes commercial housekeeping robots from its factory in Pune and works across from its offices in Pune, Mumbai, Bangalore, Dubai and Austin. Overview As a Robotics Engineer at Peppermint Robotics, youll have the opportunity to gain valuable hands-on experience in a cutting-edge robotics company. We are seeking a talented and detail-oriented individual who possesses attention to detail, proactive communication, to plan within the available resources and is self driven. Qualification: Bachelors degree in Robotics, Computer science, Electrical engineering, or related field. What The Work Looks Like: Develop and deploy algorithms for navigation, path planning, and computer vision. Conduct research and stay up-to-date with the latest advancements in the field of robotics Collaborate with diverse teams to integrate robotic systems. Develop a deep understanding of various sensors, including 2D/3D lidars and cameras. Optimize algorithms for real-time performance. Engage in hands-on tasks related to robotic hardware, such as system setup, calibration, and debugging. Test robotic systems in both simulated and real-world scenarios. Experience and Skills / Qualities We Deeply Value: 3+ years of relevant industry experience Passion for developing software for world-class robots. Excellent C++ programming and software design skills to support high-performance perception. Experience with Python is a plus. Experience with ROS1 and/or ROS2. Hands-on experience with SLAM, robot navigation, and behavior planning Hands-on experience with OMPL or similar frameworks Hands-on experience with OpenCV, PCL/Open3D Hands-on experience with real robots and perception sensors such as time-of-flight cameras, 2D/3D LIDAR, and stereo cameras. Experience with different communication protocols such as modbus, CAN bus, UART, etc. Demonstrates a strong sense of curiosity and an eagerness to learn new concepts, technologies, and methodologies. Good To Have: Experience with GTSAM/Ceres/Symforce/Casadi Experience with Pytorch, TensorFlow, OpenCL, and CUDA Knowledge of Rust for computer vision and/or otherwise. Experience with OpenVINO Understanding of different planning algorithms. What To Expect: At Peppermint, we value authenticity, clear communication, and a willingness to ask questions. We believe in supporting each team members career journey and fostering a culture that drives our mission forward. We hope you share our passion for our purpose and are excited to get started! Prepare yourself for the experience of a lifetime as you work on a product that is truly world-class. This journey will be both rewarding and challenging, pushing you to your limits to deliver the best possible results. Youll be joining a league of talented individuals who are passionate about what they do and who strive for excellence every day. Work Culture: We are a process and innovation-oriented team, with domain experts working together to build world class robots and technologies. We care for intent, attitude and collaboration over just results and work. Our culture stands for trust, authenticity, clear communication, first principles thinking and emphasis to ask anything! We care deeply for every team member s career and personal journey and the culture which propels it forwards. We do expect you to explore the underlying purpose and mission at helm @ Peppermint Robotics which drives us onwards and forwards! Next Steps:

We encourage you to apply if you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether youre a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description: iSOCRATES is seeking a highly skilled and experienced Lead Data Scientist to spearhead our growing Data Science team. The Lead Data Scientist will be responsible for leading the team that defines, designs, reports on, and analyzes audience, campaign, and programmatic media trading data. This includes working with selected partner-focused Managed Services and Outsourced Services on behalf of our supply-side and demand-side partners. The role will involve collaboration with cross-functional teams and working across a variety of media channels, including digital and offline channels such as display, mobile, video, social, native, and advanced TV/Audio ad products. Key Responsibilities: 1. Team Leadership & Management: Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns. 2. Advanced Analytics & Data Science Expertise: Provide hands-on leadership in applying rigorous statistical, econometric, and Big Data methods to define requirements, design analytics solutions, analyze results, and optimize economic outcomes. Expertise in modeling techniques including propensity modeling, Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), Recency, Frequency, Monetary (RFM) analysis, Bayesian statistics, and non-parametric methods. 3. Generative AI & NLP: Lead the implementation and development of Generative AI, Large Language Models, and Natural Language Processing (NLP) techniques to enhance data modeling, prediction, and analysis processes. 4. Data Architecture & Management: Architect and manage dynamic data systems from diverse sources, ensuring effective integration and optimization of audience, pricing, and contextual data for programmatic and digital advertising campaigns. Oversee the management of DSPs, SSPs, DMPs, and other data systems integral to the ad-tech ecosystem. 5. Cross-Functional Collaboration: Work closely with Product, System Development, Yield, Operations, Finance, Sales, Business Development, and other teams to ensure seamless data quality, completeness, and predictive outcomes across campaigns. Design and deliver actionable insights, creating innovative, data-driven solutions and reporting tools for use by both iSOCRATES teams and business partners. 6. Predictive Modeling & Optimization: Lead the development of predictive models and analyses to drive programmatic optimization, focusing on revenue, audience behavior, bid actions, and ad inventory optimization (eCPM, fill rate, etc.). Monitor and analyze campaign performance, making data-driven recommendations for optimizations across various media channels including websites, mobile apps, and social media platforms. 7. Data Collection & Quality Assurance: Oversee the design, collection, and management of data, ensuring high-quality standards, efficient storage systems, and optimizations for in-depth analysis and visualization. Guide the implementation of tools for complex data analysis, model development, reporting, and visualization, ensuring alignment with business objectives. Qualifications: Masters or Ph.D. in Statistics, Engineering, Science, or Business with a strong foundation in mathematics and statistics. Looking for an experience of 8 to 10 years with at least 5 years of hands-on experience in data science, predictive analytics, media research, and digital analytics, with a focus on modeling, analysis, and optimization within the media, advertising, or tech industry. At least 3 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Minimum 3 years of experience in Publisher and Advertiser Audience Data Analytics and Modeling. Proficient in data collection, business intelligence, machine learning, and deep learning techniques using tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. Expertise in logistic regression, customer segmentation, persona building, and predictive analytics. Strong analytical and data modeling skills with a deep understanding of audience behavior, pricing strategies, and programmatic media optimization. Experience working with DSPs, SSPs, DMPs, and programmatic systems. Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in developing analytics dashboards, visualization tools, and reporting systems. Background in digital media optimization, audience segmentation, and performance analytics. This is an exciting opportunity to take on a leadership role at the forefront of data science in the digital media and advertising space. If you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions, we encourage you to apply. An interest and ability to work in a fast-paced operation on the analytics and revenue side of our business

Adobe is seeking a highly motivated and versatile Research Scientist to join our Media and Data Science Research (MDSR) Laboratory in the Digital Experience (DX) business unit. This role provides an outstanding opportunity to engage in world-class research that will craft the future of digital experiences. As a part of our ambitious team, you will work on innovative research problems and implement solutions to redefine how businesses operate. As part of the research team, you will get an opportunity to turn your research ideas into successful products and at the same time, disseminate them at top conferences and journals. Responsibilities Design, implement, and optimize ML algorithms to address real-world problems in understanding user behavior and generating content to improve marketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. Train models and run experiments to study data and model quality. Iteratively refine research experiments and clearly communicate insights to the team. Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform. Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. Requirements Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. Quality research work published in top conferences. Hands-on experience and a track record of deploying solutions in production environments. Experience in deriving concrete conclusions and actionable insights from large datasets. Ability to take research risks and solve hard problems independently. BTech (for research associates) or PhD degree or an equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. You Will Thrive In This Role If You: Are a great teammate who is willing to take on a variety of tasks to ensure the success of the team Have a consistent track record for empirical research, answering complex questions with data. Have experience working in complex technical environments, improving research velocity. Possess a flexible analytic approach that allows for results at varying levels of precision. Have familiarity with relational databases, SQL and large-scale data systems such as Apache Spark.