1628 Computer Vision Jobs - Page 17

Best Enterprises , a leader in packaging automation and industrial vision systems, is expanding its R&D team. We are looking for a Computer Vision Engineer with strong programming skills and a passion for applying AI/ML in visual inspection and defect detection . Freshers with strong programming skills and a passion for computer vision are welcome to apply. Programming Work Develop image processing applications using C++ and OpenCV . Apply AI/ML/Deep Learning models to detect complex defects and classification tasks. Build real-time and low-cost industrial applications using compact embedded vision systems. System Integration Work Select and procure cameras, lenses, lights, computers, embedded PCs . Source bowl feeders, linear conveyors , and material handling systems. Collaborate with mechanical engineers to finalize camera and light positioning . Interface vision systems with PLCs, encoders, and industrial sensors . Required Skills Proficient in OpenCV and image processing techniques. Strong coding skills in C++ (or C# ). 2 years of hands on experience in Computer vision Preferred Skills In-depth understanding of AI / ML / Deep Learning for vision tasks. Hands-on with integrating AI models into real-time industrial vision applications. Experience with TensorFlow or PyTorch or YOLO or ONNX is a plus. Familiarity with NVIDIA Jetson or Raspberry Pi or Coral TPU based deployments. Interview Process The selection process includes a phone interview followed by an in-person assessment of programming skills

Work with the AI team to develop and improve AI-powered educational tools Develop and train AI models using various machine-learning techniques Test and evaluate the performance of AI models Integrate AI technology into our products Required Candidate profile Understanding of machine learning algorithms Proficient in Python and related libraries such as NumPy, Pandas TensorFlow or PyTorch Natural language processing (NLP) and computer vision (CV)

About Ericsson Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. Key Responsibilities Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, or a related field. A Masters degree or PhD is preferred. 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Primary country and city: India (IN) || Noida Req ID: 768225

Join our Team About Ericsson Key Responsibilities Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, or a related field. A Masters degree or PhD is preferred. 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Noida Req ID: 768225

We are seeking a Data Scientist / ML Engineer with comprehensive knowledge in AI/ML , strong coding prowess, and an intrinsic passion for R&D . You will be responsible for designing, developing, and deploying machine learning solutions, while also driving innovation through research and experimentation. If you thrive on tackling complex challenges, continuously learning new techniques, and pushing boundaries in AI, this role is for you. End-to-End Model Development Design and implement ML pipelines from data collection and preprocessing to training, validation, and deployment. Select the right models (classical ML or deep learning) and optimize them for performance and scalability. Advanced Coding & Software Engineering Write clean, efficient, and maintainable code in Python (or relevant languages like R, Scala, C++). Utilize ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and adhere to software engineering best practices (version control, CI/CD). Research & Innovation Stay updated with the latest AI/ML research, frameworks, and tools; propose and test new ideas or methodologies. Conduct experiments, benchmark against industry standards, and publish or present findings as needed. Data Exploration & Feature Engineering Analyze large datasets for insights; engineer relevant features and conduct appropriate transformations. Collaborate with data engineering teams to ensure data pipelines are robust and scalable. Collaboration & Mentorship Work cross-functionally with product managers, software engineers, and domain experts to integrate ML solutions into products. Share knowledge, review code, and assist junior team members in their growth and development. Deployment & Monitoring Implement MLOps best practices, including containerization (Docker), orchestration (Kubernetes), and cloud services (AWS, Azure, GCP). Monitor model performance in production; iterate and refine models to adapt to evolving data and requirements. Problem-Solving & Performance Optimization Tackle complex data challenges, optimize algorithms for latency and throughput, and ensure reliable system performance at scale. Identify and address data quality issues, model drift, and other factors affecting solution success. Required Qualifications Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field. Advanced degrees are a plus. Proven track record (2+ years) in developing and deploying AI/ML solutions. (Adjust experience level as needed.) Technical Expertise Comprehensive AI/ML Knowledge : Classical ML (regression, classification, clustering, etc.) and deep learning (CNNs, RNNs, Transformers). Strong Coding Skills : Fluency in Python; familiarity with other programming languages is a bonus. R&D Mindset : Hands-on experience with research methodologies, ability to quickly prototype and evaluate new ideas. Frameworks & Tools : Proficiency in ML/DL libraries (TensorFlow, PyTorch, scikit-learn), data platforms (Spark, Hadoop) is beneficial. Cloud & Deployment : Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). Soft Skills Excellent problem-solving ability and a hunger for tackling complex, ambiguous challenges. Strong communication skills, capable of articulating technical concepts to a diverse audience. Self-motivated with a drive to continuously learn and adopt new AI technologies. Preferred/Bonus Skills Experience with NLP , computer vision , or recommendation systems . Exposure to MLOps tools and platforms for end-to-end model lifecycle management. Contributions to open-source AI/ML projects or research publications. Background in mathematics or statistics for rigorous model validation.

AI/ML Engineer 03 Job Opening 4 to 5 Years Exp About This Role Design and implement machine learning models and AI solutions, optimize algorithms, and integrate intelligent systems into applications. Work on data processing, model training, and deployment to solve real-world challenges using advanced technologies. Desired Skill: Experience: Minimum 4 to 5 years of experience Job Specification: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Develop and maintain scalable and efficient AI/ML infrastructure. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. Stay up-to-date with the latest trends and developments in the field of AI/ML. Additional Roles and Competencies: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 3-4 years of hands-on experience in AI/ML development. Strong programming skills in Python. Expertise in machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning). Experience with Chatbot applications. Experience with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with cloud platforms (e.g., AWS, GCP, Azure). Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Passion for AI/ML and a desire to make a significant impact. Preferred Skills: Experience with natural language processing (NLP) or computer vision. Knowledge of big data technologies (e.g., Hadoop, Spark). Experience with MLOps and DevOps practices. Publications or contributions to open-source AI/ML projects. Qualifications BCA, MCA, BE-IT, BSC-IT(AI/ML), MSC-IT(AI/ML), B.SC-Computers, M.SC-Computer, B.Tech-Computer, M.Tech-Computer, BSC-Mathematics, MSC-Mathematics.

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Select with space bar to view the full contents of the job information. Senior Manager- Image AI Research Job Details | Dolby Laboratories, Inc. Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Senior Manager- Image AI Research 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. This is an opportunity to play a key role in Dolbys new R&D Center in Bangalore as a Senior Research Manager in our Advanced Technology Group " ATG ", the research and technology arm of Dolby Labs. With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to our research. What you ll do As a Senior Manager within Dolby ATG research, you focus on three key areas of responsibility: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI driven image and video analysis, enhancement, and processing technologies. Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of image technologies driving Dolby s cloud and licensing business. With a solid understanding of both traditional image processing and newer AI technologies, you will not only perform research using signal processing based only solutions, but you will also work at the intersection of classical image processing and new AI algorithms. You will apply these insights to the research of image delivery, analysis, and content creation technologies. Managing, nurturing, and grooming top research talent: As a senior leader, you will manage and mentor a small group of researchers working in image processing, computer graphics, computer science, and content enhancement. You will work with your team as a coach and mentor. You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment. Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere. Technology strategy and direction setting: Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolby s cloud and licensing business. You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads. Work jointly with upper management, lead resource and work allocation. You will also work with Dolby s Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide. Education and desired experience Ph.D. plus 5-10 years of corporate research experience with a degree in Physics, Electrical Engineering, Mathematics, Computer Science. Very deep understanding and strong record of research in Computer Vision, image analysis, enhancement, compression, and processing technologies . You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies. You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Knowledge of NLP and/or multi-modal architectures is highly desired. You have a good understanding of: Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Knowledge of Game environments, graphical processing, consumer products, SoC architectures, embedded software, GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms. Demonstrated ability to create fundamentally new, novel (patentable) image processing, enhancement, and rendering technologies. Strong publication record in major image/video/AI conferences and journals (e.g. NeurIPS, ICLR, ICML, etc.). Strong track of inventing, developing and productizing video technologies in an industrial research environment. Ability to envision applications of new technologies in the form of innovative product solutions. Strong innovator. Highly skilled in C/C++, Python. Experience in managing, guiding and mentoring younger researchers . Team-oriented work ethic and interest to work in cross-continental teams. Strong personal interest in learning, researching, and creating relevant new technologies with high commercial impact. Excellent communication, collaboration, and presentation skills in English. All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. 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Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence -Generative AI-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

Job Title : Data Annotation Location State : Karnataka Location City : Bangalore Experience Required : 2 to 3 Year(s) Shift: Rotational Work Mode: Onsite Position Type: C2H Openings: 20 Good Communication skills Notice period - Immediate joiners Local Bangalore candidate Interested candidate share there updated resume sangeeta.t@varite.com For more information contact sangeeta @ 8929376486 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: An American multinational computer technology company headquartered in Austin, Texas, United States. A global technology provider offers a comprehensive suite of software solutions, encompassing a flagship relational database management system, enterprise resource planning, customer relationship management, and cloud services. Additionally, the company delivers middleware products, business intelligence tools, and industry-specific applications, addressing diverse business needs worldwide. As a key player in application development, it stewards a widely utilized programming language. These software solutions cater to businesses across various industries and are widely adopted for scalability, security, and innovation. About The Job: Image, Video and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more. Should have two years of experience in labeling or annotating various elements within images/videos or visual data Should have annotated temporal information within videos, such as tracking the movement or trajectory of objects, identifying key frames, or annotating specific actions or events occurring over time. Should have annotated images by marking and labeling specific objects, regions, or features within the images. This may involve drawing bounding boxes around objects, highlighting points of interest, or segmenting objects using polygons or masks Ensure the quality and accuracy of annotated data by reviewing and verifying annotations for correctness and consistency Follow and adhere to specific annotation guidelines, instructions, or specifications provided by the project or company. This includes understanding and applying domain-specific knowledge, as well as adapting to evolving requirements. Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations. Experience working on complex annotation tasks including 3D lidar labeling. Excellent written and verbal communication skills to convey technical challenges and updates. Report any data quality issues or tool-related challenges to the project leads in a timely manner. Essential Job Functions : Minimum 2+ years of hands-on experience in data annotation across image, video, and/or text datasets. Should have completed graduation with any degree with strong communication skills in English (reading, writing and speaking) Strong proficiency with annotation techniques like interpolation and object tracking. Experience working on complex annotation tasks including 3D lidar labeling. Solid understanding of various annotation techniques: bounding boxes, segmentation, polygonal labeling, keypoint annotation, etc. Ability to follow complex project guidelines with a high level of attention to detail. Team player with the ability to work collaboratively and independently in a fast-paced environment. Qualifications: B.TECH/ B.E/ MCA/ BCA Good Communication skills How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000 About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracles assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal/Sr. Principal Applied Scientist (IC4/IC5) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We re looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You ll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. What we offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders growing expectations. What You ll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Career Level - IC5 Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. Responsibilities Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assitance by exercising judgment & appropriate actions Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain Drives selction of methods and techniques to drive solutions Demonstrate strong program management to be able to multi-task effectively Be able to mentor & lead junior data scientists effectively Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems

Amazon Photos empowers customers to preserve, share, and relieve their memories using innovative AI-powered experiences on mobile applications, web, desktop, Amazon devices, and as part of Alexa+. We strive to provide customers with the best memories companion for them and their families. As a full stack Software Development Engineer, you ll architect the next generation of our computer vision and artificial intelligence infrastructure. In this role, youll drive technical strategy and innovation across our platform, leading the development of foundational services that process billions of photos while enabling revolutionary AI features. Youll shape the technical direction of Amazon Photos machine learning capabilities and influence how millions of customers interact with their memories. * Define and execute technical strategy for Amazon Photos core AI and computer vision infrastructure, aligning with business goals and customer needs * Architect and lead development of large-scale distributed systems handling petabyte-scale photo processing and ML model serving * Drive technical decisions across multiple teams, establishing patterns and best practices for system-wide integration and operational excellence * Build and lead high-performing engineering teams, mentoring senior engineers and developing technical talent across the organization * Partner with ML scientists and research teams to productionize computer vision and AI technologies at scale * Design and implement foundational services and frameworks that enable rapid innovation and improve team velocity * Lead architecture reviews and technical deep dives, ensuring solutions meet requirements for scalability, reliability, and performance * Collaborate with senior leadership and product teams to define roadmaps and drive strategic technical initiatives * Establish and maintain operational standards, metrics, and practices for critical services running at global scale About the team We operate at massive scale, processing billions of photos while maintaining high availability and low latency. Our team leverages technologies in distributed systems, computer vision, and machine learning to create innovative solutions that delight customers. Were building the future of how people interact with their memories, using AI to create more personalized and meaningful experiences. 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team Background in distributed systems and scalable architectures Bachelors degree in computer science or equivalent 8+ years of non-internship professional software development experience Experience leading large-scale ML/AI infrastructure projects Track record of delivering complex technical initiatives across multiple teams Deep expertise in cloud computing and microservices architecture Experience mentoring engineers and developing technical talent

Were looking for a Software Development Engineer that wants to build and scale foundational services that power our computer vision and artificial intelligence capabilities. In this role, youll architect and develop solutions that process millions of photos daily, enabling intelligent features that bring customer memories to life. Youll work at the intersection of large-scale distributed systems and AI technologies, creating services that form the backbone of Amazon Photos next-generation features. Design and implement scalable, fault-tolerant services that power computer vision and AI features across the Amazon Photos ecosystem Build and optimize full-stack solutions that handle massive amounts of photo and video data while maintaining high performance and reliability Architect and develop ML model serving infrastructure and pipelines for real-time computer vision applications Drive technical decisions and architecture discussions for critical infrastructure components Collaborate with ML scientists to productionize computer vision models and optimize their performance at scale Implement and maintain observability solutions for complex distributed systems Mentor junior engineers and contribute to building a culture of engineering excellence Partner with product managers and other teams to define technical roadmaps and deliver customer-facing features About the team We operate at massive scale, processing billions of customer photos while maintaining high availability and low latency. Our team leverages technologies in distributed systems, computer vision, and machine learning to create innovative solutions that delight customers. Were building the future of how people interact with their memories, using AI to create more personalized and meaningful experiences. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent Experience with computer vision or machine learning technologies Experience building and maintaining large-scale distributed systems Knowledge of modern AI/ML frameworks and serving infrastructure Experience with cloud technologies and microservices architecture

You will be part of a passionate team whose missions is to push the frontier of machine learning / computer vision technology into the smart home application area. Youll have opportunity to design, develop and ship products with deep learning and LLM backed on-device and cloud solutions supported by Swift, Kotlin, Java, React-Native, CoreML, Tensorflow etc. tech stack. In this role, you will drive the technical direction of our on device and cloud software with multiple cross-functional teams. You will work closely with applied scientists to design and implement end-to-end solutions for high throughput and low latency systems, optimize the performance of machine learning / computer vision models and infrastructure. You should have extremely high standards, enjoy being in a team on the upcoming tech of science, enjoy (or look forward to) building distributed systems, and be at home engineering solutions for customers in the face of ambiguity. A day in the life You will drive the technical direction of our on cloud software, working on many different technologies with multiple cross-functional teams. You will work closely with applied scientists to design and implement end-to-end solutions and optimize the performance of machine learning / computer vision models and infrastructure. About the team Amazon Lab126 is an inventive San Francisco Bay Area research and development team that designs and engineers high-profile consumer electronic devices. We design and engineer devices like Fire tablets, Kindle e-readers, Amazon Fire TV, Amazon Echo, and more. This team engineers devices with the same spirit that fueled the inventors. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Develop modular, reusable components for internal AI projects , ensuring scalability and long-term usability. Collaborate with the team to manage tasks within a structured Agile framework , while ensuring priority tasks are addressed efficiently during each sprint. Balance a workload that includes both development and cross-team communication to ensure the progress of high-priority tasks. Ensure clear and effective communication with team members, particularly within project standups and ongoing task tracking. Take ownership of tasks while working within an established structure and manage changing priorities when necessary. Demonstrate a proactive approach in solving problems and propose innovative solutions to improve existing AI frameworks. Required education Bachelor's Degree Required technical and professional expertise 2+ years of relevant industry experience Proficiency in Python and experience in developing projects (either through college work, internships, or personal projects). Demonstrated innovation and creativity in AI-related projects or any technical domain. Foundational knowledge and interest in artificial intelligence and modern AI technologies (such as machine learning, deep learning, NLP, etc.). Ability to work in a collaborative, structured Agile environment and manage tasks within a sprint while maintaining flexibility for high-priority changes. Strong communication skills and an ability to work well with different teams to ensure project success and progress. Preferred technical and professional experience Familiarity with AI frameworks and libraries (such as TensorFlow , PyTorch , scikit-learn , etc.). Experience with version control systems like Git . Experience in Agile development processes, task management, and team communication.

This is a full-time on-site role for a Senior Artificial Intelligence Consultant in Hyderabad. In this role, you will be responsible for leading AI projects, developing AI strategies, implementing advanced technologies, and collaborating with cross-functional teams to drive digital transformation. Qualifications Strong expertise in agentic AI frameworks such as CrewAI, AutoGPT, LangChain Agents, BabyAGI, or similar. Lead end-to-end development of generative AI models (e.g., GPT, T5, BART, Stable Diffusion, DALL E). Hands-on experience with Hugging Face Transformers, Diffusers, or equivalent libraries. Strong knowledge of neural networks (e.g., Transformers) and machine learning algorithms Solid understanding of NLP, computer vision, or multi-modal AI techniques. Familiarity with MLOps tooling (MLflow, Kubeflow, TFX) and CI/CD pipelines. Experience with real-time processing and optimization techniques for large-scale applications Strong leadership, communication, and project management skills Ability to develop and execute AI strategies Previous experience in AI solutions development in diverse industries Ability to manage multiple projects simultaneously while meeting deadlines. Master's degree in AI, Data Science, or related field

Responsibilities: * Teach data science principles using ML, AI & CV techniques * Collaborate with industry partners on research projects * Conduct lectures, assignments & exams

Who We Are & Why Join Us Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension all tailored to the complexities of industrial environments. Cutting-Edge AI Innovation - Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment - Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact - Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: Avathon Senior AI Engineer Location: Bengaluru Who We Are & Why Join Us Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension all tailored to the complexities of industrial environments. Cutting-Edge AI Innovation - Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment - Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact - Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: Avathon Education: Bachelor s or Master s degree in Computer Science, Electrical Engineering, or a related field. Experience: 5-7 years of experience in designing, training, and deploying computer vision models using frameworks like TensorFlow, PyTorch, or ONNX. Model Optimization: Expertise in model quantization, pruning, distillation, and structured sparsity techniques to enhance performance on edge devices and low-power hardware. Architectures : Hands-on experience with state-of-the-art architectures such as YOLO, Faster R-CNN, Vision Transformers, and their optimization for deployment. Computer Vision: Strong understanding of image preprocessing, feature extraction, traditional computer vision techniques, and end-to-end model pipelines. Performance Profiling: Experience in profiling and optimizing model inference speed, memory usage, and throughput for resource-constrained environments. Hardware Optimization: Practical experience in deploying AI models on embedded systems and low-power hardware like NVIDIA Jetson, Intel Movidius, or ARM processors. Programming: Proficiency in Python and C++ for developing AI solutions, with experience in parallel processing (CUDA, OpenCL) and hardware-aware optimizations. MLOps: Familiarity with CI/CD pipelines, containerization (Docker), and deployment frameworks for managing AI workflows efficiently. Version Control: Strong experience with Git and collaborative workflows in team-based environments. Soft Skills: Strong analytical thinking, communication skills, and ability to document processes effectively. Collaboration: Proven ability to work in cross-functional teams, collaborate with stakeholders, and contribute to project planning. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.

Job Summary: We are looking for an exceptional Senior Data Scientist with strong communication skills and a passion for building advanced AI solutions. The ideal candidate will bring hands-on expertise in deep learning, computer vision, generative AI , and prompt engineering , with proven domain experience in supply chain or healthcare or IT . Key Responsibilities: Lead the development of AI/ML models from problem definition to deployment in production. Design and implement solutions using deep learning , computer vision , generative AI (GenAI) , RAG , and prompt engineering techniques. Work on time series forecasting , anomaly detection, and predictive modeling tasks. Collaborate with product, engineering, and domain experts to build scalable and impactful data science solutions. Translate complex technical findings into business insights for non-technical stakeholders. Contribute to architectural discussions and strategic planning of AI/ML capabilities. Mentor junior data scientists and contribute to best practices in model development and deployment. Required Skills & Qualifications: Bachelors/Master’s/Ph.D. from Tier 1 or Tier 2 institution in Computer Science, Statistics, Mathematics, or related field. 10+ years of experience in data science and applied machine learning. Strong programming skills in Python and ML frameworks like TensorFlow, PyTorch, or Keras. Deep understanding of CNNs, Transformers, LLMs , and multimodal architectures . Hands-on experience in Computer Vision (image segmentation, object detection, OCR, etc.). Expertise in Generative AI , including prompt engineering and Retrieval-Augmented Generation (RAG). Experience in Time Series Modeling using statistical and deep learning techniques. Experience working in either Supply Chain or Healthcare domain is mandatory. Proficient in communicating technical concepts clearly to both technical and business audiences. Preferred Skills: Experience with ML Ops tools (MLFlow, SageMaker, Vertex AI). Exposure to cloud platforms like AWS, Azure, or GCP. Familiarity with data engineering workflows (ETL, feature stores, data pipelines). Publications or patents in relevant AI/ML fields are a plus. Role & responsibilities Preferred candidate profile

Responsibilities: * Ensure accuracy and consistency in labeled data * Collaborate with machine learning team on project requirements * Maintain confidentiality of proprietary information Annual bonus Health insurance Provident fund

SUMMARY Job Role: Data Engineering Professionals Location Pune Experience 6+ years Must-Have The candidate must possess at least 5 years of relevant experience in Data Engineering with Java or Python Development. As an Application Lead, you will be responsible for leading the design, development, and configuration of applications, serving as the primary point of contact. Your day-to-day activities will involve collaborating with multiple teams to ensure project milestones are achieved, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. Additionally, you will participate in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will play a crucial part in driving the success of application projects and fostering a collaborative environment. Key Responsibilities Develop and execute targeted campaigns to attract backend engineers with Java or Python expertise. Collaborate with engineering and recruitment teams to understand role requirements and ideal candidate profiles. Utilize platforms like LinkedIn, GitHub, Stack Overflow, and tech forums to identify and engage potential candidates. Create compelling content (emails, job posts, social media snippets) tailored to backend developers. Analyze campaign performance and optimize strategies for better reach and conversion. Build and maintain a talent community for backend engineers. Required Skills & Qualifications Strong understanding of backend technologies, especially Java or Python. Familiarity with developer ecosystems, tools, and communities. Excellent communication and content creation skills. Data-driven mindset with experience using analytics tools to measure campaign success. Ability to work cross-functionally with engineering, HR, and marketing teams. Experience with technologies such as Python, Machine Learning Algorithms, Optimization Algorithms, Rule Mining, Model Training/Deployment. Experience with technologies such as Computer Vision, LLM, Statistical Analysis, Data Visualization, SQL, Cloud Platform (Azure), MLOps. Additional Information The candidate should have a minimum of 5 years of experience in Data Engineering. A 15-year full-time education is required. Benefits

Description: Globallogic is looking for enthusiastic and self-motivated freshers to join our team on a contractual basis. This is an excellent opportunity to gain hands-on experience and build a strong foundation in a professional work environment. Requirements: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written Job Responsibilities: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Job description: - Senior Data Scientist Organization : - Ray Business Technologies is a CMMI Level 3, ISO 27001:2013 Certified Company and The Member of NASSCOM, AIIA, NJTC and HYSEA. About Organization : Ray Business Technologies (RBT”) is a global Information Technology (IT) Solutions company. Ray Business Technologies offers IT Solutions for Artificial Intelligence (AI), ERP, CMS, CRM, EAI to BFSI, Retail, Online commerce, Healthcare, Manufacturing, Media, Agriculture and Telecom verticals. Founded in 2009, 15 years of trust, A CMMI Level 3 Certified company. Responsibilities : Sound knowledge on Machine Learning, Deep Learning, statistical modelling, data analytics, algorithmic problem solving. Should poses a sound knowledge in R & D (Build from Scratch). Hands on Experience working components like- DL, Transform model, LLM, NLP, Computer Vision etc. Hands on experience in implementing Deep Learning technique. Hands on Experience of Natural Language Processing (NLP) techniques. Hands on experience in OCR technology. Inclination towards Mathematics / Statistics. Nice to have MS Excel skill, Reporting. Experience in object-oriented programming. Hands on Experience of Python or R. Good Knowledge on Cloud Technology (Azure cloud platform). Requirements: 4-6 years of experience in a data science or analytics role, with a proven track record of leveraging analytics to drive significant business impact. Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders. Strong knowledge of machine learning techniques (e.g., classification, clustering, regression), and experience applying them to real-world problems. Strong analytical and problem-solving skills, with a keen attention to detail. Experience with cloud platforms (e.g., Azure) and big data technologies (e.g., Hadoop, Spark) is a plus. Benefits : Competitive salary and comprehensive benefits package. Opportunities for professional development and career growth. Dynamic and collaborative work environment with talented colleagues.