483 Image Processing Jobs - Page 5

Title: Manager Ops - International Process (Content Moderations) Role Summary: We are seeking a Manager to manage a dynamic team of 50-100 members in an International Process. The ideal candidate will have experience handling BPO operations, including performance management, coaching, and improving overall team productivity and quality. This role requires excellent leadership skills to guide team members, manage performance, and ensure alignment with business goals. What You Would Be Doing: Team Management & Performance : Oversee and manage the teams productivity, quality, shrinkage, and attrition to ensure all targets are met. Coaching & Development : Provide coaching and mentorship to new team members to improve performance, skills, and customer satisfaction (CSAT). Process Review & Improvement : Analyze existing processes, make recommendations for improvements, and implement strategies to enhance overall team performance and CSAT. Training Needs Identification (TNI) : Identify gaps in knowledge or processes and address them through targeted training and development. Monitoring & Coaching : Conduct weekly performance reviews and one-on-one coaching to support team members in meeting their goals. Floor Support & Escalation Management : Offer floor support and address escalations in real-time to ensure smooth operations. Target Achievement : Manage and drive the team towards achieving individual and team performance targets (IC targets). AHT Management : Ensure that Average Handle Time (AHT) is maintained within the specified target levels across different tenure buckets. Process Adherence & Compliance : Ensure that all processes are followed, and performance metrics are adhered to consistently. Skills & Experience: Experience : Previous experience in handling an international process is a must. Team Management : Proven experience in managing a team of 50-100 members, with the ability to guide, motivate, and manage team performance. Supervisory Skills : Strong supervisory and leadership skills to effectively manage subordinates and drive results. Communication Skills : Excellent written and verbal communication skills in English, with the ability to present and report effectively. Technical Skills : Basic knowledge of computers and proficiency in MS Excel. Methodical & Organized : Ability to stay organized, methodical, and manage multiple tasks and priorities effectively. Flexible : Ability to work in a 24/7 environment, including flexibility for shifts. Work Environment : 5 days working, Work From Office (WFO). What's Expected: Strong leadership and ability to drive team performance in a fast-paced environment. Excellent coaching and mentorship abilities to improve team skills and performance. Effective in handling escalations and providing floor support. Ability to analyze and optimize processes to achieve higher CSAT and performance outcomes. Interested candidates can share their cv at 9953150816

JOB DESCRIPTION COMPANY NAME- SHARD Center for innovation (UNDER THE AEGIS OF JALSA VENTURES) Profile- Trainer/Teacher for AI, ML, DRONE, ROBOTICS for Childrens Salary- 20k to 35k Exp- Min 2 yr. Job Mode- Full Time Job Timing- Full Time (11:00Am to 8:00Pm) Qualification- Graduate/ Postgraduate (With Technical Degree) Interview Mode- Virtual & F2F Roles & Responsibilities- Conducting classroom education (Theory and practical) in AI, ML, Robotics, Drone etc. Planning daily/weekly lessons. Adopting an objective criterion for measuring learner progress. Attending to age appropriate /individual student needs and refinement of knowledge delivery accordingly. Demonstrating various hands-on projects for the students. To carry out Any other activities related to the above as and when decided by the management. Requirements and skills- Bachelor's degree (Technical) preferably related to the subjects above. Practical Knowledge of these subjects and experience in imparting lessons in these subjects. Good written and verbal communication skills. Previous experience of conducting these subjects would be advantageous. Thanks & Regards HR & Admin Astha Singh Contact No-7428101729

JOB DESCRIPTION COMPANY NAME- SHARD Center for innovation (UNDER THE AEGIS OF JALSA VENTURES) Profile- Trainer/Teacher for AI, ML, DRONE, ROBOTICS for Childrens Salary- 20k to 35k Exp- Min 2 yr. Job Mode- Full Time Job Timing- Full Time (11:00Am to 8:00Pm) Qualification- Graduate/ Postgraduate (With Technical Degree) Interview Mode- Virtual & F2F Roles & Responsibilities- Conducting classroom education (Theory and practical) in AI, ML, Robotics, Drone etc. Planning daily/weekly lessons. Adopting an objective criterion for measuring learner progress. Attending to age appropriate /individual student needs and refinement of knowledge delivery accordingly. Demonstrating various hands-on projects for the students. To carry out Any other activities related to the above as and when decided by the management. Requirements and skills- Bachelor's degree (Technical) preferably related to the subjects above. Practical Knowledge of these subjects and experience in imparting lessons in these subjects. Good written and verbal communication skills. Previous experience of conducting these subjects would be advantageous. Thanks & Regards HR & Admin Astha Singh Contact No-7428101729

Clario s medical imaging expertise is unparalleled in the industry. With over 30 years of experience, we provide seamless, secure, and compliant medical imaging solutions that optimize clinical trials. Our commitment to excellence has made us a leader in the medical imaging core lab sector. We are seeking dedicated and skilled Medical Imaging Technologists to join our growing operations team in India. What we offer Competitive compensation (fixed + variable) Attractive benefits (security, flexibility, support and well-being) Engaging employee programs Technology for hybrid working and great onsite facilities What youll be doing Our Medical Imaging Technologists ensure Quality, including Protocol Compliance and Technical Adequacy, of Image Data by: Reviewing and analysing image data for clarity and quality Verifying image data is in compliance with project protocol requirements Generating image queries when needed Working with therapeutic team to notify Sponsor/Site for proper resolution of quality issues Assisting in archiving data for completed projects Performs other image analysis functions as may be required by: Performing client or internal demonstrations of image processing Reviewing and preparing images for submission to client and/or agency Identifies and communicates Project Requirements as they relate to the image quality review (IQR) processes by Reviewing evaluations of potential clinical research sites and verifying the accuracy of information pertaining to site personnel, medical imaging equipment, imaging protocol and data archival capabilities Providing support for technical imaging related issues Performing study initiation/technical visits to educate site personnel on image acquisition protocol, data archival, and data transmittal procedures including form(s) completion Assisting in the design and implementation of study related forms Assisting in writing and reviewing imaging guidelines/manuals Assisting in reviewing Site Surveys Maintains Quality Service and Departmental Standards by Reading, understanding and adhering to organizational Standard Operating Procedures (SOPs) Assisting in establishing and enforcing departmental standards Participating in user acceptance testing for new tools and software enhancements Participating in the modification of company SOPs related to IQR What we look for Bachelor s degree preferred 2+ years as Imaging Technologist in a imaging center or relevant clinical trial experience preferred Experience with PET is preferred Experience with X-Ray, MRI & CT modalities advantageous Experience working with computer software including Word, Excel and Access preferred Experience working with clinical trials and/or within pharmaceutical environment preferred Individuals who are able to work remotely and open to European and US time zone working hours

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR KASHISH 8130202908 Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

Job description summary Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloud-based or internet-related tools. Job description Changing the world through digital experiences is what Adobe s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge Evolve Acrobat for modern user experience with the objective of delighting the customer Build the next generation document management based solutions by integrating cloudbased services and frameworks in Acrobat/Reader. Build the next generation of document creation tools. Design and build next generation of document processing tools to extract, index and search document content. Develop advanced document reconstruction algorithms for document editing, PDF Export. Develop document and image processing algorithms for creating the next generation of document scanning and OCR tools. Develop next generation of intuitive and powerful document reviews, commenting and approval solutions. Develop security solutions for close to a billion Acrobat free users. What you need to succeed 7+ years of hands-on design/development experience. B.Tech or M.tech (in computer science and engineering) / MCA from a premier institute. Good understanding of object-oriented design and knowledge of product life cycles and associated issues. Technical depth in operating systems, computer architecture and OS internals. Proficient in C++, data structures and algorithms. Exposure to SaaS and REST API would be an added advantage. Ability to work independently with strong problem-solving skills. Be creative - ability to think outside the box . Adobe aims to make Adobe.com accessible to any and all users.

Changing the world through digital experiences is what Adobe s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences. We are passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We re on a mission to hire the best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that innovative ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge Part of Acrobat engagement and retention charter to enhance engagement. Evolve Acrobat for modern user experience with the objective of delighting the customer Build the next generation document management based solutions by integrating cloud-based services and frameworks in Acrobat/Reader. Build the next generation of document creation tools. Design and build next generation of document processing tools to extract, index and search document content. Develop advanced document reconstruction algorithms for document editing, PDF Export. Develop document and image processing algorithms for creating next generation of document scanning and OCR tools. Develop next generation of intuitive and powerful document reviews, commenting and approval solutions. Develop security solutions for close to a billion Acrobat free users. What you need to succeed 7-10 years of hands-on design/development experience. B.Tech or M.Tech (in computer science and engineering or related fields) / MCA Good understanding of object-oriented design and knowledge of product life cycles and associated issues. Technical depth in operating systems, computer architecture and OS internals. Proficient in C++, data structures and algorithms. Exposure to SaaS and REST API would be an added advantage. Ability to work independently with strong problem-solving skills. Be creative - ability to think outside the box . Adobe aims to make Adobe.com accessible to any and all users.

We are looking for a passionate and skilled AI/ML Engineer with 1-3 years of hands-on experience in computer vision and conversational AI. The ideal candidate should have a strong foundation in machine learning, experience training custom object detection models (especially using YOLO), and working knowledge of OpenCV and AI/ML frameworks. Exposure to OpenAIs ChatGPT and chatbot development is essential. Any experience in AR/VR will be considered a plus. Key Responsibilities: Train and deploy custom object detection models using YOLO (v5/v7/v8 or YOLO-NAS) on custom datasets. Preprocess and annotate data for training using tools like Roboflow or CVAT. Implement and optimize object detection pipelines using OpenCV . Develop, fine-tune, and integrate AI chatbots using OpenAIs ChatGPT API or similar LLMs. Work with basic ML algorithms for classification, clustering, and regression tasks. Collaborate with cross-functional teams to design, test, and deploy AI solutions. Explore integration of AI solutions into AR/VR environments (basic knowledge sufficient). Maintain and improve model performance through continuous training and validation. Stay up-to-date with the latest trends and advancements in AI/ML. Required Skills: Strong understanding of YOLO object detection models and custom training pipelines. Proficiency in OpenCV for image processing and real-time applications. Experience with OpenAIs GPT models and chatbot development . Solid understanding of basic ML algorithms (e.g., decision trees, SVM, k-NN). Good programming skills in Python . Familiarity with AI/ML frameworks such as: TensorFlow PyTorch ONNX Runtime Scikit-learn Knowledge of tools like Roboflow, LabelImg, or FiftyOne. Git version control and experience working in agile environments. Preferred (Good to Have): Exposure to AR/VR technologies (Unity, Unreal, WebXR, etc.). Experience in deploying models to edge devices (e.g., Raspberry Pi , NVIDIA Jetson Pay: 25,000.00 - 30,000.00 per month

Role : Associate Research Scientist - Biomaterials Job requirements: Primary- Develop and characterize polymeric scaffolds. Experience with scaffold fabrication techniques using biomaterials to generate complex tissue mimetic hydrogels and composite scaffolds, for applications in tissue engineering. Skilled in various scaffold and material characterization techniques. Culture and maintain various cell types, including stem cells and primary cells, and perform cell-based assays to evaluate biocompatibility, proliferation, and differentiation. Developing 3D in vitro tissue models to assess the function of scaffolds. Experience with 3D-printing will be a plus. Analyze experimental data using appropriate statistical methods, prepare detailed reports, and contribute to publications in peer-reviewed journals. Prepare presentations for internal and external meetings. Proficiency in software for data analysis, Image processing, CAD designing. Participate in interdisciplinary research with colleagues and collaborators Meet with vendors for raw materials and instruments procurement, and with CROs for specialized services Qualification and Experience: M.Sc /M.Tech (Experience with Biomaterials) in Biotechnology, Polymer Science, Chemical Engineering, Life Sciences, or biological sciences with Research experience (minimum 3 years) in material/ polymer science in a renowned research lab or industry; or PhD (completed or near completion) in the relevant field.

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models, in particular, to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. Job Description: Responsibilities : Develop and extend digital products and creative applications, leveraging LLM technologies at their core. Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs Lead client onboarding, client rollout, and client adoption efforts , maximizing use of the product across multiple clients Lead enhancements and extensions for client specific capabilities and requests Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the companys technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Large Language Models Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI . Solid Hands-on, and Deep Experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines . Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience with LLM evaluation frameworks such as Ragas, and their use to evaluate / improve LLM model outputs Experience in data preprocessing , and post-processing model / results evaluation. Hands-on Experience with API Integration and orchestration across multiple platforms Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps , or n8n (Nodemation) Good Experience with Serverless Cloud Applications , including Cloud / Serverless Functions with Azure Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns , built on LLMs and Diffusion models. Nice-to-Have Skills (not essential, but useful) : Good understanding of Transformer Models and how they work. Hands-on Experience with Fine-Tuning LLM models at scale. Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents . Some experience with Single-Agent and Multi-Agent Orchestration solutions Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models, in particular, to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. Job Description: Responsibilities : Develop and extend digital products and creative applications, leveraging LLM technologies at their core. Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs Lead client onboarding, client rollout, and client adoption efforts , maximizing use of the product across multiple clients Lead enhancements and extensions for client specific capabilities and requests Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the companys technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Large Language Models Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI . Solid Hands-on, and Deep Experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines . Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience with LLM evaluation frameworks such as Ragas, and their use to evaluate / improve LLM model outputs Experience in data preprocessing , and post-processing model / results evaluation. Hands-on Experience with API Integration and orchestration across multiple platforms Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps , or n8n (Nodemation) Good Experience with Serverless Cloud Applications , including Cloud / Serverless Functions with Azure Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns , built on LLMs and Diffusion models. Nice-to-Have Skills (not essential, but useful) : Good understanding of Transformer Models and how they work. Hands-on Experience with Fine-Tuning LLM models at scale. Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents . Some experience with Single-Agent and Multi-Agent Orchestration solutions Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models, in particular, to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. Job Description: Responsibilities : Develop and extend digital products and creative applications, leveraging LLM technologies at their core. Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs Lead client onboarding, client rollout, and client adoption efforts , maximizing use of the product across multiple clients Lead enhancements and extensions for client specific capabilities and requests Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the companys technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Large Language Models Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI . Solid Hands-on, and Deep Experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines . Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience with LLM evaluation frameworks such as Ragas, and their use to evaluate / improve LLM model outputs Experience in data preprocessing , and post-processing model / results evaluation. Hands-on Experience with API Integration and orchestration across multiple platforms Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps , or n8n (Nodemation) Good Experience with Serverless Cloud Applications , including Cloud / Serverless Functions with Azure Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns , built on LLMs and Diffusion models. Nice-to-Have Skills (not essential, but useful) : Good understanding of Transformer Models and how they work. Hands-on Experience with Fine-Tuning LLM models at scale. Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents . Some experience with Single-Agent and Multi-Agent Orchestration solutions Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant

Dear Candidate, We are seeking a Data Scientist Manager to lead a team in building advanced analytics solutions and machine learning models to support business decisions and innovation. Key Responsibilities: Guide the development of predictive models, data mining, and statistical analysis. Manage data science projects from concept to production deployment. Collaborate with stakeholders to define data-driven objectives and KPIs. Mentor junior data scientists and promote best practices in ML and AI. Ensure data governance, quality, and model explainability standards. Required Skills & Qualifications: Strong background in machine learning, statistics, and data science methodologies. Proficient in Python, R, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud-based analytics platforms (e.g., SageMaker, Azure ML). Leadership and project management experience. Advanced degree in Data Science, Computer Science, or a related field. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR SADHVI 8447910644 Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

Job Title: Computer Vision AI Architect Location: Remote Salary: Competitive Job Description: Quantaleap INC. is seeking a seasoned Computer Vision AI Architect to lead solutioning and proposal efforts for utility and grid inspection projects. The ideal candidate will have a strong background in image analysis, machine learning, and aerial, facility, or medical imaging use cases. This role involves working closely with presales teams and contributing to RFP responses through technical leadership and innovative vision solutions. Key Responsibilities: Architect and design AI-based computer vision solutions for utility and infrastructure inspections. Analyze aerial, static, and medical imagery for inspection, anomaly detection, and image comparison tasks. Collaborate with presales and proposal teams to provide technical solutioning for RFPs. Generate visual inspection reports and present actionable insights. Ensure solution feasibility and scalability for deployment across client environments. Work Indian business hours with some required overlap with PST time zone. Must-Have Skills: Expertise in Computer Vision, Image Processing, and Image Compariso n Proficiency in Machine Learning frameworks and model development Experience in Aerial, Facility, and Medical Imaging use cases Strong background in RFP solutioning and presales technical support Excellent communication and reporting skills

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR AKRITI - 8800061856 Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

We are looking for a versatile and independent AI Developer who excels in combining traditional coding with no-code/low-code tools to build intelligent automation workflows and AI-driven systems. This is a high-impact role for someone who enjoys solving complex business challenges through smart integrations, conversational AI, and scalable automation. Key Responsibilities: Architect and implement end-to-end AI-powered automation systems , combining code and no-code workflows. Build and maintain custom integrations with external APIs, automation tools, CRMs, and AI services (OpenAI, TTS/STT engines, etc.). Develop backend logic using Python, Node.js , or similar technologies to support AI workflows and data handling. Create and optimize data pipelines , scraping bots, and voice/text-based AI interfaces. Utilize tools like Make.com, Apify, Airtable, Zapier, Glide , or similar platforms to accelerate delivery. Collaborate with non-technical stakeholders and independently manage development cycles , from requirement gathering to deployment. Ensure performance, scalability, and maintainability of systems across various business use cases. Required Skills: Strong proficiency in Python, JavaScript/Node.js , or relevant backend languages. Deep familiarity with AI/ML concepts , especially around LLMs, natural language processing, and prompt engineering. Hands-on experience with no-code platforms like Make.com, Airtable, Apify, Glide, Zapier , etc. Expertise in integrating third-party APIs , including communication APIs (e.g., Twilio, WhatsApp). Understanding of voice and chat-based AI workflows using tools like OpenAI, Whisper, and ElevenLabs. Ability to handle projects independently with minimal supervision. Nice-to-Have: Experience with CRM integration , sales or outreach automation tools. Knowledge of data scraping, RPA , or chatbot frameworks. Familiarity with serverless deployment , Firebase, or cloud-based automation. Background in B2B tools , SaaS environments, or enterprise automation is a plus. Ideal Candidate Traits: Entrepreneurial mindset with a passion for automation and AI. Self-starter who thrives in fast-paced, outcome-driven environments. Excellent communication and collaboration skills. Strong sense of accountability, quality, and initiative. What We Offer: Opportunity to lead critical automation projects from day one. Freedom to explore creative solutions using the best of code and no-code tools. A growth-oriented environment with long-term potential.

Zycus is seeking for talented Machine Learning Engineers to join our dynamic team. Candidates with strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. Role & responsibilities Develop and implement AI solutions leveraging expertise in Analytics and Data Mining across Web, Social, and Big Data platforms. Good understanding and implementation of Generative AI for content generation, creative applications, and problem-solving across various domains. Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products. Utilize Machine Learning techniques for pattern recognition and inference to enhance existing products and develop new strategic initiatives. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Collaborate with cross-functional teams to integrate Natural Language Processing and Computational Linguistics into product development processes. Apply Statistical Modeling and Econometrics to analyze data and derive actionable insights for quantitative marketing strategies and to make predictions based on historical data. Contribute to the design and optimization of Large Scale Distributed Systems and Cloud Computing infrastructure. Enhance user experience through Human-Computer Interaction principles and Information Visualization techniques. Preferred candidate profile Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. 6-11 years of experience Graduate/Post Graduate from Tier I institutes Strong background in Analytics, Data Mining, Machine Learning, and related disciplines. Experience with programming languages such as Python, R, Java, or C++. Experience in working with NLP, Computer Vision/Image Processing, Regression and Deep Learning algorithms. Proficiency in handling large datasets and implementing statistical models. Familiarity with Cloud Computing platforms and distributed systems architecture. Experience using Web Services like Redshift/S3/Spark/DigitalOcean, etc. Experience with Distributed Data and Computing tools. Experience in EDA (Exploratory Data Analysis.) Excellent Communication and Teamwork capabilities. Perks and benefits Five Reasons Why You Should Join Zycus: Cloud Product Company : We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader : Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: - Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. - Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and optimize NLP algorithms and models to improve performance and accuracy. - Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance - Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques - Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment Professional & Technical Skills: - Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning - Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM - Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits - Experience in implementing various NLP algorithms and models. - Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly - Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it - Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization - Have worked with RNN, LSTM etc. - Work exp in creating NLP pipelines for processing large amount of document corpus - Expertise with Python Additional Information: - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. -Be a self-starter and a fast learner - Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges - Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Large Language Models, deep learning, neural networks, chatbots, and natural language processing. Roles & Responsibilities: - Design and develop scalable and efficient AI-based applications and systems using Large Language Models, deep learning, neural networks, chatbots, and natural language processing. - Collaborate with cross-functional teams to identify and prioritize AI use cases, and develop solutions that meet business requirements. - Implement and maintain AI models and algorithms, and ensure their accuracy, reliability, and scalability. - Develop and maintain AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems. - Stay updated with the latest advancements in AI and machine learning, and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Experience with Large Language Models. - Strong understanding of deep learning, neural networks, chatbots, and natural language processing. - Experience with AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems. - Proficiency in programming languages such as Python, Java, or C++. - Experience with cloud platforms such as AWS, Azure, or GCP. - Experience with containerization technologies such as Docker and Kubernetes. Additional Information: - The ideal candidate will possess a strong educational background in computer science, artificial intelligence, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI technology. 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. - Collaborate with the team to understand application requirements. - Design and develop applications based on business process requirements. - Configure applications to ensure optimal performance and functionality. - Test and debug code to identify and resolve any issues. - Collaborate with cross-functional teams to integrate applications with other systems. - Provide technical support and troubleshooting for applications. - Stay updated with the latest industry trends and technologies. - Assist in documenting application design, development, and maintenance processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleansing, transformation, and normalization to ensure data quality and integrity - Creation and validation of test data,and predictive modelling like ANN, Gradient Boosting, and K-NN - Knowledge of Predictive analytics and algorithims Additional Information: - A 15 years full-time education is required.

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR bambi [9870305937] Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

LEAD SOFTWARE SYSTEMS DESIGN ENGINEER THE ROLE: AMD is looking for an experienced engineer for an exciting role in Server CPU software development team. This person will be a member of a core team and will work with the latest hardware and software technology. The person will interact closely with key AMD technical experts to ensure the best possible performance and results on AMD platforms. THE PERSON: The successful candidate for this position will be interacting with software and hardware technologists working across many locations. This is a great opportunity to work as a part of highly regarded team to deliver leading edge solutions. KEY RESPONSIBILITIES: Problem solving across multiple software layers, (user space, kernel, applications, libraries) and hardware. Optimization/development of the CPU performance stack (applications, libraries) for AMD server and workstation processors on Windows platform. Analyze and solve performance, scalability bottlenecks when code is running on multi-core, multi-node deployments. Innovate and publish papers, patents and participate in technical conferences to advance AMD technologies. Continuously learn and grow along with evolving X86 server CPU architecture and application landscape. PREFERRED EXPERIENCE: Image processing skills: Color format conversions, Image Filtering and Enhancement operations, Morphological operations, Image transforms and statistical operations. Good understanding in Image Detection, Segmentation, Recognition, Restoration and Medical Imaging. Knowledge in Signal Processing theory like Sampling, Quantization, DFT and FFT. Multi-threaded FFT computing, Distributed FFT computing Very strong data structure and algorithmic skills. Experience in identifying performance bottlenecks, and designing/implementing optimizations to relieve analyzed bottlenecks. Strong Windows internals with experience in software development using C/C++ and debugging skills on multicore systems (preferably using OpenMP). Experience in performance analysis for data center, HPC (High Performance Computing), MPI (Message passing Interface) applications. Experience in x86 (or other architecture based) optimizations. Understanding of Cache sub-system, Instruction Set Architecture, pipeline (for any CPU). Bonus skills: Experience on Intel MKL libraries, Linear Algebra, x86 assembly programming (vector/SIMD), porting source code from Linux to Windows, development on Windows servers Knowledge of one or more CPU Profiling tools (preferably in Windows). ACADEMIC CREDENTIALS: Graduate/master s degree in computer science or related fields LOCATION: Bangalore Benefits offered are described: AMD benefits at a glance .

Job Title Data Scientist (AI for Computer Vision) Job Description We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team. Your primary responsibilities will include developing, fine-tuning, and optimizing AI models for computer vision applications, driving innovation in various healthcare applications. You will work closely with cross-functional teams, including machine learning engineers, software developers, and product managers, to deliver state-of-the-art AI solutions. Your role: Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications Create and refine AI algorithms for pre- and post-processing of images and videos, focusing on data from various imaging modalities Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling. Demonstrate expertise in image processing, object detection, segmentation, and classification. Proficient in Python programming Possess a strong understanding of algorithms and frameworks such as TensorFlow, PyTorch, and Keras Experienced with version control systems (e.g., Git) and software development practices Develop and Optimize Computer Vision Models: Design, train, and fine-tune DL models for real-world applications Data Preparation & Engineering: Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models Experimentation & Model Evaluation: Conduct A/B testing and assess model performance using quantitative metrics (e.g., IoU, mAP, precision, recall) Research & Innovation: Stay updated with the latest advancements in computer vision, deep learning, and related technologies Deployment & Scaling: Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and OpenCV Collaboration & Communication: Work closely with cross-functional teams to integrate computer vision solutions into business processes and applications. Youre the right fit if: Bachelor s or master s Degree: In computer science, AI, Data Science, Machine Learning, or a related field Experience: 3+ years in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in developing computer vision-based AI applications Programming Proficiency: Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch Domain Knowledge: Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications Technical Skills: Familiarity with computer vision techniques and fine-tuning of models Problem-Solving Skills: Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment MLOps Tools: Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes) Ethical AI: Understanding of ethical AI and bias mitigation in computer vision models. Publications and Contributions: Strong publication record or contributions to open-source AI projects. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-EU #LI-Hybrid #LI-PHILIN

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Responsibilities: Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. Experiment with various deep learning architectures, hyper parameters, and optimization techniques to improve model performance. Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. Bachelor's/Masters/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team. Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders across different functional areas. We need only Data Scientist Candidates. For More Information Kindly call on 7701968943(Sanchit) Share your updated cv on sanchit@mounttalent.com