1681 Computer Vision Jobs - Page 26

Immediate Openings on Network Security - Zscaler _ Hyd/Bangalore_Contract Skill: Network Security - Zscaler Notice Period: Immediate . Employment Type: Contract Job Description Zscaler ZIA ZPA is primary - must have worked in zscaler for atleast 3 years SIEM Exabeam AA and DL as Secondary Skills.

Role Summary As an AI Engineer , you will lead the development and deployment of real-time AI modules for facial analysis and vital sign estimation based on video streams. Key Responsibilities Research, prototype, and productionize computer vision models for: Facial expression recognition (emotion classification) Remote photoplethysmography (rPPG) for BPM estimation SpO estimation from RGB video signals Preprocess webcam images for signal enhancement (ROI extraction, denoising) Integrate ML models into the backend (FastAPI-based), processing real-time webcam input Optimize models for latency, accuracy, and resource usage (on CPU/GPU) Deploy AI models as Dockerized microservices (REST/WS-based inference APIs) Work with frontend and backend teams to ensure seamless model integration Conduct internal validation, A/B testing, and ongoing calibration Tech Stack / Tools Languages : Python (must), PyTorch or TensorFlow CV/ML Libraries : OpenCV, Mediapipe, dlib, scikit-learn Signal Processing : numpy/scipy, rPPG libraries (e.g., DeepPhys, MTTS-CAN) Deployment : FastAPI, Docker, ONNX, TorchScript Infra : Redis, PostgreSQL, AWS (GPU EC2, S3, ECS) Required Skills 3+ years of experience building computer vision or bio-signal AI models Hands-on experience with facial emotion recognition using CNNs/RNNs/transformers Familiarity with rPPG-based BPM & SpO estimation from webcam videos Strong background in signal processing , noise reduction, and ROI selection Ability to write production-grade Python code and deploy AI inference services Experience optimizing models for inference (quantization, pruning, ONNX) Nice to Have Experience with real-time WebRTC or webcam processing Familiarity with ML pipelines (MLflow, ClearML, SageMaker) Experience with face tracking (MediaPipe FaceMesh, dlib landmarks) Familiarity with multi-modal emotion detection (face + voice) Knowledge of privacy-preserving AI methods (differential privacy, edge inference) What Youll Own Accurate real-time facial emotion AI module Vital signs (SpO/BPM) module with acceptable medical-grade error margins Robust backend integration for WebSocket/webcam flow Scalable AI deployment strategy for 10K 1M users

Design, develop & deploy scalable AI/ML models to extract data from documents using Computer Vision & OCR and NLP (BERT, Transformer architecture, text analysis) Required Candidate profile 3-5 years of experience in machine learning, systems engineering , OOP, SE ,Python, Algorithms and data structure. Expertise in Python, PyTorch/TensorFlow, OpenCV etc needed

Designs and develops AI-powered chatbots using Kore.AI platform.

Develops AI-driven solutions using NLP and generative AI techniques, enhancing automation and language processing.

About the Role: We are seeking a visionary AI Architect to drive our AI/ML and GenAI roadmap. You will lead the design of multi-modal generative workflows that combine image, video, and LLM-driven tasks for media workflow automation. This role will influence our core platform strategy by integrating custom and open-source diffusion models, prompt-to-image generation, segmentation, and agentic task orchestration using LLMs. Key Responsibilities: Architect AI solutions for image/video generation, segmentation, pose estimation, and retouching using diffusion models and GANs. Design agentic workflows leveraging LLMs (OpenAI, Claude, etc.) for orchestrating creative task chains, model prompting, or hybrid AI-human loops. Lead data pipeline and preparation strategy define data requirements, build annotation pipelines, and guide synthetic data generation. Evaluate and fine-tune foundation models like Stable Diffusion, ControlNet, OpenPose, DeepFaceLab, CP-VTON. Guide research, benchmarking, fine-tuning, and deployment of models. Evaluate build vs. buy decisions for third-party APIs or in-house model development. Ensure compliance with IP, client data protection, fairness, and ethical AI practices. Desired Skills: Deep experience in computer vision, generative AI (diffusion, transformers), and LLM integration Hands-on with PyTorch, Hugging Face, Diffusion/ GAN Architectures Hands-on with LLM and agentic frameworks like LangChain, AWS Bedrock Strong understanding of synthetic data pipelines, model evaluation metrics, and prompt engineering Strong understanding of image harmonization, segmentation, texture transfer Ability to architect scalable ML pipelines combining image/video generation with LLM reasoning Experience leading a technical team or managing AI initiatives end-to-end. Familiarity with AWS/GCP, GPU infrastructure, and scalable AI model serving Familiarity with co-pilot tools and AI-assisted code generation to accelerate prototyping and implementation of AI systems Desired Profile & Qualification: 8+ years in AI/ML roles including leadership in GenAI or CV-heavy platforms Degree in Computer Science, Machine Learning, or related field (MS/PhD preferred). Prior contributions to open-source AI or research publications is an advantage Note: This is an on-site position.

As a TA Intern, you will play a crucial role in helping us scale our teams by supporting bulk hiring efforts, coordinating recruitment processes, and assisting with end-to-end recruitment tasks. This role is ideal for someone looking to gain hands-on experience in recruitment and HR processes.. Selected Intern's Day-to-day Responsibilities Include. Assisting the recruitment team in sourcing and screening potential candidates through job boards, social media, and professional networks. Conducting initial phone interviews to assess candidates' qualifications, experience, and cultural fit. Coordinating and scheduling interviews between candidates and hiring managers. Maintaining and updating the applicant tracking system (ATS) with candidate information, job postings, and hiring statuses. Posting job openings on internal and external platforms, including the company website, job portals, and social media.

Key Responsibilities. Architect, build, and deploy AI/ML models for SaaS products at scale.. Lead the end-to-end lifecycle of AI projects from data exploration, model development, validation, and deployment, to monitoring and maintenance.. Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings.. Implement and optimize Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI/ML techniques.. Define and uphold best practices in AI model development, MLOps, and scalable deployment.. Mentor and guide a team of AI/ML engineers, setting technical direction and fostering a culture of innovation and excellence.. Partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives.. Stay abreast of advancements in AI and contribute thought leadership internally and externally.. Required Skills & Experience. 10 to12 years of experience in AI/ML engineering, with a strong record of working in SaaS and product-based environments.. Expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and/or Generative AI.. Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.. Solid experience in designing scalable AI architectures and deploying models in production environments (AWS, GCP, Azure, etc.. Strong programming skills in Python; familiarity with other languages like Java, Go, or Scala is a plus.. Deep understanding of MLOps, CI/CD for machine learning pipelines, containerization (Docker, Kubernetes).. Experience with LLM fine-tuning, prompt engineering, vector databases (e., Pinecone, FAISS) is highly desirable.. Has experience is having trained a SLM (or Medium Language Model), for a particular vertical.. This includes pre-training and fine-tuning.. Strong problem-solving skills and ability to navigate ambiguous technical challenges.. Excellent communication, leadership, and stakeholder management skills.. Preferred Qualifications. Master's or Ph.in Computer Science, Machine Learning, Data Science, or a related field.. Experience in Go-to-Market Strategy for AI-powered products.. Experience integrating AI into customer-facing SaaS products with measurable outcomes..

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering, Manual Testing Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to identify and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI tools and cloud services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 3 years of experience in Prompt Engineering.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision , Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. ________________________________________ Responsibilities: • Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. • Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. • Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. • Utilize Azure AI Services , Cognitive Services, and other cloud-native AI tools to build intelligent applications. • Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. • Follow best practices in software engineering, including CI/CD, testing, and documentation. ________________________________________ Requirements: • Bachelors or Master’s degree in Computer Science, Engineering, or a related field. • Proven experience as a senior software or data engineer, with a strong backend focus. • Advanced proficiency in Python, demonstrated through real-world projects. • Practical experience with backend technologies and frameworks. • Strong knowledge of CI/CD frameworks and DevOps practices. • Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. • Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. • Experience with Docker and Kubernetes for containerization and orchestration. • AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. • Data engineering experience is a strong advantage.

About the Role: OSTTRA India The RoleAssociate I AI Engineer The Team The OSTTRA Technology teamis composed of Capital Markets Technology professionals, who build,supportand protect the applications that operate our network. The technology landscapeincludeshigh-performance, high-volume applications as well as compute intensive applications,leveragingcontemporary microservices, cloud-based architectures. The Impact Together, we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets. Whats in it for you We are seeking a highly motivated and talented Entry Level AI Engineer to join our growing team. In this role, you will have the exciting opportunity to work at the forefront of both traditional machine learning and cutting-edge generative AI. You will contribute to the development and implementation of AI solutions that address real-world challenges in the financial services industry. This role requires a strong foundation in AI/ML principles, software engineering skills, and a collaborative mindset. This is an excellent opportunity to be part of a team based out of Gurgaon and to work with colleagues across multiple regions globally. Responsibilities: Develop and implement machine learning modelsDesign, build, and train traditional machine learning models (e.g., regression, classification, clustering) for tasks such as risk assessment, fraud detection, trade prediction, and operational efficiency. Explore and apply generative AI techniquesResearch, experiment with, and implement generative AI models (e.g., transformers, large language models) for applications like data augmentation, synthetic data generation, anomaly detection, and natural language processing in financial contexts. Collaborate on AI solutionsWork closely with experienced AI engineers, data scientists, and software developers to integrate AI models into Osttra's existing systems and build new AI-powered applications. Contribute to software developmentParticipate in the full software development lifecycle, including design, coding, testing, and deployment, adhering to best practices and industry standards. Analyze and interpret dataAnalyze large datasets, identify patterns and trends, and derive insights to inform model development and business decisions. Stay current with AI advancementsContinuously learn and keep abreast of the latest research and trends in both traditional machine learning and generative AI. Communicate effectivelyClearly communicate technical concepts and findings to both technical and non-technical audiences. What Were Looking For: EducationBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Technical Skills: Strong understanding of fundamental AI/ML concepts (e.g., supervised/unsupervised learning, deep learning, natural language processing). Experience with Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with generative AI models and frameworks (e.g., transformers, GPT). Proficiency in software engineering principles and practices. Knowledge of data structures, algorithms, and databases. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and as part of a team The Location: Gurgaon, India About Company Statement: About OSTTRA Candidates should note that OSTTRAis an independentfirm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global providesrecruitmentservices to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joiningour global team of more than 1,200 posttrade experts. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ yearsMarkitServ, Traiana, TriOptima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group. Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets.Learn more atwww.osttra.com. Whats In It For You Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf -----------------------------------------------------------

The Role and Responsibilities We have open positions ranging from Associate Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. Pyramid OverviewEnterprise Tech We create technology solutions for Target at an enterprise scale, unlocking value for our team members, guests, and suppliers. Team Members rely on us to manage $108B+ in revenue, care for our team of 450k+ (pay and benefits), enable 3M+ candidates applying to Target, access to every Target facility, and resolve challenges through our service centers. Guests rely on us every day to quickly and efficiently help them with inquiries such as credit card statements, finding a product, price match, returns, and much more. We ensure guests can leverage their Circle Card to get exclusive benefits. Guests and B2B clients also rely on us to buy gift cards for that special occasion. Suppliers rely on us to assist with financial management, sourcing and procurement processes, compliance and risk assessment processes, coordinating visits for field engineers, providing support for Target+ and Roundel Partners, as well as supporting revenue growth to accelerate vendor acquisition and onboarding for partners. Position Overview: Lead Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives, ensuring high performance and scalability. Performance Tuning & OptimizationIdentify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Mentor Junior EngineersProvide guidance and mentorship to team members on best practices in coding standards, architectural design, and machine learning techniques. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling StrategiesLead the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You: Bachelors degree in Computer Science, Engineering or a related field (Master's degree preferred). Over 6 years of professional experience working with Python programming language in an enterprise setting. Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks (GANs) is highly desirable. Proven track record of optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform). Deep understanding of system architecture principles related to scalability and robust application design. Excellent problem-solving skills combined with strong analytical abilities. Proven leadership skills with experience mentoring junior engineers effectively. Know More Here: Life at Target- Benefits- Culture-

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Pune Date of drive- 12th July 2025(Saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology, join us to Make Possible a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers.We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. WhatYoullDo You will be responsible leading research, design, development and implementation of algorithmic modules. You will p erform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains. Your key responsibilities will be Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection. Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product. Algorithm optimization to reduce computational cost and influence hardware requirements. You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence. Experience working in Semiconductor industry. Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills. Experience in managing teams, sets organizational priorities and allocates resources. Ph.D. or Masters in computer science/engineering or similar fields with 5+ years of experience Education: Bachelor's Degree/Master's Degree Years of Experience: 4 - 7 Years Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Model Development & Deployment: Design and implement deep learning models using TensorFlow for real-time object detection, image segmentation, and video processing tasks. Computer Vision Expertise: Leverage advanced computer vision techniques, including CNNs, YOLO, Faster R-CNN, and SSD for object detection in images and video. Video Processing: Process and analyze video streams, including motion tracking, behavior analysis, and real-time video object detection using frameworks like OpenCV. Data Preparation: Clean, preprocess, and augment large-scale image/video datasets to improve model accuracy and performance for training. Model Optimization: Optimize machine learning models for real-time performance, focusing on latency reduction and efficient resource utilization. Integration with Systems: Collaborate with cross-functional teams to integrate trained models into production environments, such as edge devices or cloud platforms. Performance Tuning: Use techniques like model pruning, quantization, and edge deployment to enhance model efficiency and scalability. Research & Innovation: Stay up-to-date with cutting-edge research in AI, computer vision, and TensorFlow, and apply the latest advancements to solve complex problems. Collaboration & Code Quality: Work in an agile, collaborative environment while writing clean, maintainable code and documenting the model development process. Required Skills: Proficiency in Python, TensorFlow, OpenCV, machine learning, and deep learning, with experience in object detection and video processing. 1. Tensorflow 2. Computer Vision 3. Video processing 4. Object detection

Job Overview: The AI Solution Architect and CoE Lead will play a pivotal role in leading the design, development, and implementation of artificial intelligence solutions within the organization. This position will also be responsible for driving the strategy for AI excellence and best practices by establishing and overseeing the AI Centre of Excellence (CoE). The CoE will focus on nurturing AI talent, fostering knowledge sharing, and continuously evolving AI practices across the organization. Key Responsibilities: 1. AI Solution Architecture: Design and Develop AI Solutions: Lead the end-to-end process of designing, developing, and deploying AI solutions tailored to business needs. Technical Leadership: Provide technical leadership to cross-functional teams working on AI-related projects, ensuring high standards in solution design, integration, and deployment. Consulting and Advisory: Work closely with stakeholders to identify business requirements and translate them into AI-powered solutions, including machine learning models, data pipelines, and AI-driven processes. Platform Selection and Integration: Evaluate and select appropriate AI tools, platforms, and technologies to meet business goals. Oversee integration with existing systems, ensuring scalability and efficiency. Optimization and Innovation: Continuously monitor, optimize, and evolve AI solutions, keeping the organization at the forefront of AI advancements. 2. Centre of Excellence (CoE) Management: CoE Strategy Development: Develop and implement a strategy for the AI Centre of Excellence, ensuring alignment with business objectives and AI best practices. Knowledge Sharing and Governance: Establish frameworks for knowledge sharing, training, and governance, ensuring that AI practices are consistent and scalable across the organization. Innovation Culture: Foster a culture of innovation and experimentation, encouraging cross-functional collaboration and new AI research and application. Talent Development: Lead efforts to upskill internal teams by organizing training sessions, workshops, and seminars focused on the latest AI technologies and methodologies. Standardization and Best Practices: Define AI-related standards, processes, and best practices across the organization. Ensure all teams adhere to these guidelines to maintain quality and consistency. 3. Stakeholder Engagement: Cross-Functional Collaboration: Collaborate with business leaders, data scientists, IT teams, and product managers to deliver effective AI solutions. Client-facing Engagement: Engage with clients to understand their needs, demonstrate AI capabilities, and provide thought leadership on how AI can address their challenges. Executive Reporting: Regularly report to senior leadership on the progress of AI initiatives, highlighting key milestones, risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in AI technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (PoC): Lead the development of PoCs and pilot projects to test AI ideas and validate their feasibility before broader implementation. 5. AI Governance and Compliance: Ethical AI: Ensure the responsible and ethical use of AI, taking into consideration issues related to fairness, transparency, privacy, and security. Compliance: Maintain awareness of AI-related regulations and ensure the organization's solutions adhere to legal, ethical, and industry standards. Qualifications : Education: Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI, or a related field. A Ph.D. in AI or related fields is a plus. Experience: 11+ years of experience in AI, machine learning, or data science, with a proven track record of delivering AI solutions. 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a Centre of Excellence or a similar initiative. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud. Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance AI solutions. Leadership and Communication: Excellent leadership skills with the ability to influence and collaborate with cross-functional teams. Strong presentation and communication skills for engaging stakeholders at all levels. Project Management: Experience managing large, complex projects with diverse teams and tight deadlines. Governance and Best Practices: Deep understanding of AI governance frameworks, industry standards, and ethical guidelines. Certifications (Optional): Certified AI Professional (e.g., Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning). Certified Solutions Architect (e.g., AWS Solutions Architect, Google Professional Cloud Architect). Preferred Traits: Visionary Thinker: Ability to foresee AI trends and leverage them strategically for business growth. Problem Solver: Strong analytical skills and an innovative mindset to solve complex business problems using AI. Mentor: Passion for mentoring and developing the next generation of AI talent.

Project description Our client, one of the leading Agriculture Companies, is modernising their landscape and adopting AI and innovations in their process. As a software engineer you will join a team of professionals working on Organisation R&D and help to build organisation services on next level Responsibilities Creation of PoCs and presentation of them to business Development of innovative solutions based on AI models Adoption of LLM models in application landscape Development of new functionality in R&D applications Code review Adoption of best process practices Skills Must have Advanced knowledge in Python Knowledge of AI frameworks Advanced Knowledge at least in one LLM Data Science Nice to have Knowledge of Multiple LLMs and their adoption in commercial projects Other Languages EnglishC1 Advanced Seniority Senior

Type: Contract Description: 5+ years of experience in software development, with at least 2+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Familiarity with Kore.ai Bot Builder tools such as Kore Workflow, NLU Modeler, and BotKit. Experience with UI/UX design principles for creating intuitive chatbot experiences. Preferred Qualifications: Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Mechanical Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Analyze and annotate mechanical designs for AI training. Provide feedback on AI-generated CAD and mechanical simulations. Evaluate engineering calculations and problem-solving techniques. Must Required Traits:. Strong academic background in Mechanical Engineer (MSc preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Mechanical Engineers to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Analyze and annotate mechanical designs for AI training. Provide feedback on AI-generated CAD and mechanical simulations. Evaluate engineering calculations and problem-solving techniques. Must Required Traits:. Strong academic background in Mechanical Engineer (PhD). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to details. Why Join Us. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Mining Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Assess AI-generated mining and geological models. Provide technical feedback on AI-driven excavation and drilling solutions. Enhance AIs understanding of geotechnical assessments. Must Required Traits:. Strong academic background in Mining Engineering (PhD preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Vehicle Dynamics Engineer (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate AI-generated vehicle designs and performance models. Provide insights on AI-driven simulations of automotive systems. Improve AIs ability to analyze mechanical and electrical automotive components. Must Required Traits:. Strong academic background in Automotive Engineering (MSc preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are looking for highly skilled Mining Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Assess AI-generated mining and geological models. Provide technical feedback on AI-driven excavation and drilling solutions. Enhance AIs understanding of geotechnical assessments. Must Required Traits:. Strong academic background in Mining Engineering (MSc preferred). Teaching, tutoring, or content creation experience in the field is a plus. Familiarity with AI, machine learning, or data annotation is beneficial. Strong analytical skills and attention to detail. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . Who you are & how you can contribute. We are seeking a Biology expert with an MSc degree. The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AIs advancement. What you will be doing. Annotate Biology-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Biology. Must Required Traits:. Strong academic background in Biology. Experience in Biology education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us. Competitive hourly pay‚800 ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. NOTEPay will vary by project and typically is up to Rs. . .