1889 Image Processing Jobs - Page 26

Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments

Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so #niche #NJP Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

3+ years of hands-on experience in computer vision and image processing. Proficiency in Kotlin, with experience building Android or cross-platform applications. Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) Required Candidate profile Familiarity with retail use cases such as shelf monitoring, customer behavior analysis, or automated checkout

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm Bangalore AI Research is looking for world-class machine learning engineers in general domain of machine learning and more specifically deep learning for computer vision and image processing tasks. Active areas of research include low power embedded AI on edge devices, human centric AI, AI based personalization and recommendation systems, generative models and multi-modal fusion. The team comprises highly skilled and motivated professionals building advanced machine learning technology, best-in-class solutions, and model optimization tools enabling state-of-the-art network inferences on-device with limited power, memory, and computation. Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. Roles & Responsibilities You will be part of a multi-disciplinary talented team working on on-device AI research, development and end to end prototyping of given use-case. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, augmented reality headsets, autonomous vehicles, robotics, and IOT devices. Key job responsibilities may include a subset of the following: Develop machine learning algorithms for advanced imaging features (low-light, next-generation sensors, vision and scene understanding etc.) Develop learnable image signal processing (ISP) pipeline for image reconstruction and classification tasks Develop agentic workflows and completely automated recommendation systems Develop federated learning and on-device incremental model refinements Work on quantization and low rank adaptation strategies Work on training strategies and supporting deployment and commercialization for the machine learning features Work on system and algorithmic design changes to improve machine learning inference speed Lead teams to drive innovative research ideas and develop prototype in collaboration with other researchers and engineers. Stay abreast with latest SOTA and actively shape latest research in the field. Stay passionate at execution. Contribute to purposeful innovation. Engage with leads and stakeholders across business units to translate research into business impact. Minimum qualifications Master's / Ph.D degree in Computer Science, or related Engineering field with 8+ years of active experience in AI Research, Software & Systems Engineering and related work experience. Working experience in machine learning and deep network architectures Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow) Strong background in image and signal processing, statistics, and data analysis. Strong programming skills and working experience in C/C++ and Python. Additional qualifications: Background in color science, and image signal processor pipelines Prior work experience with Object detection/classification/tracking, Recommendation Systems, Human Aware AI, RAW to RGB AI ISP Tasks, Stable Diffusion, VLM, LLM and Control Net implementations Prior work experience with on-device AI model optimization, federated learning, RL, IL. Prototyping of an AI solution on Android / Linux Exposure to hardware and systems architecture for power, performance, accuracy trade-offs Keywords: Deep Learning, Machine learning, Generative AI, Computer Vision, Image Processing, ISP, Model Optimization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Responsibilities: Part of video IP systems team and will be responsible for video technology roadmap ; interaction with different teams including design, verification, system, firmware, software, SOC and power teams; video algorithms, image quality analysis; video processing and compression trends with standardization committees. Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, XR/IoT/Automotive & compute platforms. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. We are seeking experienced system engineers for our cutting-edge efforts in the architecture and design of our video codec hardware. The video Systems group provides video solutions on all of Qualcomms Snapdragon mobile processors. The teams scope includes video processing algorithms and IP architecture design for video compression, visual signal processing and analytics, with power and performance optimization. The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas: Designing and evaluating video algorithms to be implemented in hardware video encoders and decoders . Define systems architecture for video solutions including data flow, task partition, interface and systems interoperation. Implement models to accurately model the HW (functional, performance), and supporting HW verification & SW development via behavioral model vectors . Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Research and develop video algorithms for mobile, automotive, compute and VR/AR applications with performance and power efficiency. Minimum Qualifications: Masters degree in Electrical/Electronics Engineering, Computer Science, or related field and 15+ years of systems engineering experience PhD in Electrical/Electronics Engineering, Communications - Signal Processing, Computer Science, or related field and 12+ years of systems engineering experience Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9. Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of codec algorithms and flow Solid C/C++ programming, Python scripting skills. Strong communication skills Good analytical and problem solving skills. Preferred Qualifications: HW C modeling experience Image quality evaluation and metric comparisons Signal / Image processing basicsComputer Vision and Machine Learning algorithms for Video Compression and Video/Image processing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Responsibilities The job responsibilities may include a subset of the following Designing computer vision /image processing for mobile devices Designing and evaluating algorithms to be implemented in hardware on software prototypes Developing or Optimizing image processing and computer vision algorithms for HW acceleration Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking. Test regression and release support Preferred Qualifications: Exposure or working experience in Vision or Multimedia accelerators Working experience with image processing algorithms. Knowledge/working experience in computer vision algorithms Strong knowledge in data structures and working experience with C/C++ programming Software optimizations experience in various SIMD and multi-threading Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, automobiles, computing devices. IoT devices and XR devices. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. Join Qualcomm and become part of the growing visual technology systems team that innovates to bring the higher performance on visual technologies at the lowest power consumption and device cost, while providing the strongest feature differentiation. We are seeking experienced system engineers for our cutting-edge efforts in areas related to image processing, video codec architecture/design and computer vision. Successful candidates will be part of a visual technology systems team that develops embedded camera and imaging solutions, image signal processor (ISP), visual analytics and video codec IPs as well as advanced algorithms for computer vision and image/video processing to address different Qualcomm businesses. ResponsibilitiesThe job responsibilities may include a subset of the following: Overall engineering lead for the project responsible for on-time delivery of Visual technology IPs including architecture, systems design, hardware, software, documentation, and tools that meet power and performance KPIs along with product requirements and stability to enable the launch of products. Key traits Constant engagement Very high availability Prioritization Provides clarity Attention to detail and tracking of key issues Leadership by example Minimum qualifications Bachelor's degree in Science, Engineering, or related field. 8+ years experience in integrated chipset architecture, systems engineering, HW/SW design Strong knowledge of IP development life cycle from concept to commercialization Cross functional lead who can effectively work across the teams. Preferred qualifications: Background in digital signal processing Background in image processing algorithms, color science and image signal processor pipelines, video codecs and video analytics is a plus. Educational requirements: RequiredBachelors in Computer science or Electrical & Computer Engineering PreferredMas ter s in Computer science or Electrical & Computer Engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The Camera Image Quality Engineer will be responsible for the design and development of image quality evaluation systems to measure Image Quality (IQ) metrics for Mobile, Automotive, IoT, XR, and Compute Cameras. The role involves both objective and subjective IQ evaluations, including aspects such as color, white balance, texture, noise, details, bokeh, tone/exposure, resolution, and subjective artifacts. Key Responsibilities: Design and develop image quality evaluation systems to measure IQ metrics for various camera applications. Define image quality validation protocols, generate image/video datasets, and develop IQ metrics to evaluate and qualify camera solutions. Develop software tools for lab automation, IQ metric analysis, and IQ report generation. Generate image quality evaluation reports and communicate findings to improve IQ features. Qualifications: Strong understanding of camera imaging algorithms, including both traditional and machine learning-based features. In-depth knowledge of image quality aspects, IQ evaluation methodologies, and metrics. Experience in designing and setting up camera IQ lab tests and real-life test scenarios. Experience in developing objective IQ metrics. Knowledge and experience in machine learning algorithms for computer vision or computational photography. Familiarity with camera sensors and modules. Proficiency in programming languages such as MATLAB, Python, and C/C++. Excellent communication skills for generating IQ reports and collaborating with the development team. Work Experience: Minimum of 2 years of experience in image processing, computer vision, camera hardware or software development, or related fields. Experience in imaging algorithm development for denoising and sharpening, color management, and 3A. Experience in computational photography algorithm development. Experience in machine learning algorithm development for camera imaging pipelines and/or image processing features. Experience in camera IQ tuning for color, tone mapping, noise, texture/sharpness, exposure control, and white balance. Education: PhD or MS/M.Tech in Electronics, Electrical, or Computer Science Engineering. Specialization in Image Processing, Image Quality, or Color Science. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: At Qualcomm XR Perception, were a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art, power efficient XR perception algorithms optimized for Qualcomm hardware. The perception algorithms enable XR systems to map the users environment and track the user within the environment. To scale and strengthen our offering, Qualcomm XR Perception team in Bengaluru is rapidly expanding and seeking candidates to investigate and develop the fundamental perception algorithm that enables self-contained XR platforms. We are looking for innovators who will push the boundaries of mobile perception technology to offer a robust platform to our customers. Job Function/General Responsibilities In this job the candidate would Be part of a world-class XR team researching and developing XR perception Work with building blocks of Simultaneous Localization and Mapping (SLAM) o Multi-view geometry o Sensor Fusion o Pose estimation o Non-linear optimization Apply ML/ DL techniques to enhance accuracy and robustness of traditional SLAM systems Implement efficient and optimized algorithms in C++ Understand and analyze requirements for perception systems for XR platforms Have excellent verbal and written communication and presentation skills Candidate that fits this role should be well versed in the basics of Linear algebra Probability Multi-view geometry Sensor fusion Estimation techniques Non-linear optimization Machine learning techniques Object oriented programming in C++ Keywords Virtual reality, Augmented reality, Computer vision, Machine learning, Perception, VIO, SLAM Educational requirements: Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related field +3 years of work experience OR Master's degree in Engineering, Applied Mathematics, Computer Science, or related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

All Peoples Church & World Outreach is looking for AI/ML Software Engineer to join our dynamic team and embark on a rewarding career journey Developing and directing software system validation and testing methods. Directing our software programming initiatives Overseeing the development of documentation. Working closely with clients and cross-functional departments to communicate project statuses and proposals. Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems. Managing the software development lifecycle. Monitoring system performance. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans. Applying mathematics and statistics to problem-solving initiatives. Applying best practices and standard operating procedures. Creating innovative solutions to meet our companys technical needs. Testing new software and fixing bugs. Shaping the future of our systems.

Pan India Inviting applications for the role of Manager (AI App Ops Lead)! We are looking for a seasoned and hands-on Application Operations Lead to drive the operational excellence of Computer Vision (CV) applications. This individual will lead and mentor a team of ML CV Ops Engineers, ensuring the resilience, scalability, and reliability of AI-powered visual systems deployed in production environments. The ideal candidate will bring a blend of leadership, system operations, ML infrastructure knowledge, and cross-functional collaboration. You will be responsible for orchestrating the delivery, monitoring, and optimization of critical CV models and applications, deployed across cloud and edge environments. Key Responsibilities: Lead and mentor a team of ML CV Ops Engineers to manage the lifecycle of computer vision applications in production. Define and implement operational strategies, workflows, and performance goals for the App Ops team. Foster a DevOps/MLOps culture of automation, ownership, and continuous improvement. Ensure production CV applications meet high availability, performance, and security standards. Establish SLAs, monitoring policies, and governance frameworks for mission-critical AI systems. Own the incident response process, drive root cause analysis, and coordinate remediation with CV engineering and data science teams. Maintain high observability through monitoring tools (e.g., Prometheus, Grafana, Datadog, AppDynamics). Partner with Data Scientists, MLOps, Cloud Engineers, and Software Developers to ensure smooth model deployments and robust CI/CD pipelines. Act as the technical operations bridge between AI model development and enterprise IT. Champion automation of repetitive support and operational tasks, including model validation, performance regression testing, and retraining triggers. Drive cost and resource optimization for cloud/GPU infrastructure used in CV workloads. Ensure operational practices adhere to audit, security, and regulatory compliance requirements. Maintain operational runbooks, escalation paths, and support documentation for CV systems. Define, Implement, Execute AI App Ops standard work Define KPIs for Support Ops performance and monitor and report on Support Ops KPIs Assist in issue analysis and remediation by developing standard work and investigate, troubleshoot, manage and resolve technical issues Develop code and implement proactive alerting mechanisms Establish and Monitor and act on observability metrics and thresholds Design and Develop proactive alerting mechanisms Create and Implement feedback loop for model observability data Configure and develop scalable pipeline for model integrations Implement observability metrics and thresholds Govern and Support change management processes Assist in knowledge transition and developing training materials Oversee and assist in investigation and resolution of vulnerabilities Transition knowledge from incumbent partner Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 7+ years of experience in IT Operations, Site Reliability Engineering, or DevOps, with 2+ years in managing ML/AI systems in production. Proven experience in leading technical teams, preferably in ML Ops or platform engineering contexts. Strong understanding of cloud infrastructure (AWS/GCP/Azure), containers (Docker), orchestration (Kubernetes), and CI/CD practices. Experience supporting and optimizing Computer Vision workloads in real-time or batch systems. Familiarity with MLOps platforms and tools (e.g., MLflow, DVC, TensorFlow Serving, TorchServe, Airflow). Preferred Qualifications: Prior experience with model monitoring, drift detection, and retraining automation. Experience working in industries like energy, industrial equipment, manufacturing is a strong plus. Exposure to edge deployment strategies (e.g., NVIDIA Jetson, TensorRT, ONNX optimization). ITIL or SRE certifications are a bonus. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment o

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 : Large Language Models Good to have skills : NAMinimum 15 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 utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead research and development initiatives- Implement cutting-edge AI/ML algorithms- Stay updated on industry trends and advancements Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- 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 cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in Large Language Models- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

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 : Machine Learning Good to have skills : NAMinimum 12 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. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. Your role will contribute to the advancement of AI technology and its applications in various industries. Roles & Responsibilities:- Expected to be an SME in AI/ML Computational Science- Collaborate and manage the team to perform effectively- Responsible for team decisions and ensuring their successful implementation- Engage with multiple teams and contribute to key decisions- Expected to provide solutions to problems that apply across multiple teams- Contribute to the development of AI applications and systems- Utilize AI tools and Cloud AI services to create robust solutions- Implement proper cloud or on-prem application pipelines with production-ready quality- Apply GenAI models as part of the solution- Explore and implement deep learning techniques and neural networks- Develop chatbots and work on image processing projects Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience implementing various machine learning algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 12 years of experience in Machine Learning- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

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 : Large Language Models Good to have skills : NAMinimum 12 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are integrated seamlessly into existing workflows and meet the needs of diverse stakeholders. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and deployment strategies.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: Ind & Func AI Decision Science Consultant Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 3-6 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 3-6 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 3-6 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

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 : Large Language Models Good to have skills : NAMinimum 12 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are robust and scalable, addressing the needs of diverse stakeholders. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to drive efficiency and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions that meet production standards. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: Develop large language models using NLP techniques Implement computer vision solutions with deep learning algorithms Design neural networks for pattern recognition and object detection

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

Job Description Summary: Design and Development in Java, J2EE, Spring, Spring Boot, Apache Camel, RDBMS, JS • Knowledge and understanding of services offered by at least one of the major public cloud providers • Hands on experience with building containerized application and automated orchestration • Capable of responding to and resolving issues in real-time. • Participate in technical conversations while working with vendor/suppliers and customers. • Design and implement distributed, scalable, high-performance micro service-based applications • Actively participate in the Agile software development phases of various initiatives across Trusted Call Servicesplatform. • Resolve scalability and performance issues in all areas of Software functions. • Provide Business value through innovation and continuous improvement • Continuously find opportunities to refactor and reduce technical debt • Collaborate efficiently with the team members & make sure you have the proper communications to get the deliverables done. • Interact with Product Development and Technology teams to ensure proper requirements are received before proposing a solution to the stake holders. • Ensure Release software meets all requirements of Security, Quality, Extensibility, Performance, Reusability • Produce high-quality software with a scalable architecture and design principles • Lead the team to coordinate and guide for high quality software delivery Job Description: Minimum 8 years of relevant work experience. • Java/J2EE Technologies with Java, Spring, NFI, AJAX, JavaScript, TypeScript , Spring Boot , Spring IOC & MVC, Spring Data JPA, Spring Web Flow, Spring Boot, Apache Camel, JDBC, OpenJPA, RESTful Web Service , XML (Advanced), XSLT (Advanced), JSON, JMS (Advanced), JAuth2.0, JWT. Docker, Kubernetes, Oracle and SQL with tunning, no-SQL query language, JSON query, MongoDB , Postgres DB, Familiarity with AWS/GCP/Azure services stack. • Excellent knowledge or hand on experience designing and using No-SQL database for persistence storage, MongoDB, Postgres or like. • Good knowledge on using architecture and design patterns. • Experience in application configuration and builds using Maven. • Jenkins, Pipeline deployment, Groovy scripts. Deployment automation experience in CI/CD (Chef, Puppet, Ansible) • Well documented code, Unit test driven framework implementations, testcases development using Junit. • Good understanding of the software development agile practices. • Asynchronous message communication/integration technologies (ActiveMQ), JMS, MQTT, AMQP • IDE Eclipse, IntelliJ • Strong analytical and debugging skills • Experience with GIT, JIRA, Confluence, Nexus. Additional Job Description • Knowledge on the Telecom industry & STIR SHAKEN framework. • Good to have experience with front-end development like Angular, etc. • Any Certifications in the relevant technologies.

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

About Us: At Soul AI, we develop AI solutions with real-world benefits. Built by a top-tier team from IITs and IIMs, and operating out of SF and Hyderabad, our AI team tackles meaningful problems at scale. Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

Responsibilities: Develop state-of-the-art computer vision models for tasks such as object detection, OCR, pose estimation, and semantic segmentation. Drive the entire ML lifecycle: data preprocessing, model training, validation, and deployment.

We are looking for a versatile Technical Architect with specialized knowledge in Large Language models, Generative AI, as well as Full-Stack Cloud Native Application Development and Cloud Engineering to be a part of our innovative product development team. As a Technical Architect, your main responsibility will be to contribute significantly to the development of strategic platforms, cutting-edge products, and creative solutions for our clients. This will involve leveraging the capabilities of LLMs, Generative AI, and Agentic AI in conjunction with Cloud Solutions and Cloud Native Full Stack Application Development. Your key focus areas will include defining technical architecture and solution design for custom product development to deliver impactful and innovative solutions that enrich our product range. The ideal candidate will possess a robust architecture background, a drive to explore the frontiers of technology, and a willingness to acquire new skills and technologies rapidly. Moreover, the ideal candidate will blend product development and cloud architecture expertise with contemporary Generative AI and LLM Solution Architecture and Design proficiencies. Key Skills Required: - Proficiency in Full Stack MERN App Development, encompassing Front-End and Back-End Development, API Development, and Micro Services. - Experience in Azure Cloud Native App Development and Cloud Solutions is essential. - Familiarity with AWS Cloud Native App Development and AWS Cloud Solutions is desirable. - Expertise in LLM Solutions and LLM App Development. - Knowledge of AI Agents, Agentic AI Workflows, and Enterprise Integrations. - Competency in Generative AI, Multi Modal AI, and Creative AI, including working with Text, Imagery, Speech, Audio, and Video AI. Responsibilities: - Establishing Cloud Architecture for cloud solutions and cloud-native app development. - Defining Technical Architecture for full-stack application development and bespoke product development. - Leading the translation of business and product requirements into technical architectures that balance architectural quality, scalability, cost-effectiveness, maintainability, and suitability for the intended purpose. - Collaborating with senior technology and engineering stakeholders to shape, define, refine, validate, review, and optimize proposed architectures. - Working with solution architects, development leads, full-stack developers, engineers, and quality engineers to develop and integrate solutions into existing enterprise products. - Collaborating with cross-functional teams to develop and validate client requirements and quickly translate them into functional solutions. - Utilizing best practices in architecture to shape and validate proposed solutions. - Guiding solution design for scalable AI-enabled products, cloud-native apps, and cloud solutions. - Overseeing the technical delivery of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services. - Leading the solution tech design and promoting the adoption of appropriate design patterns and best practices across all layers of the application stack. - Designing enterprise products and full-stack applications on the MERN stack with a clear separation of concerns across layers. - Creating web apps and solutions that leverage LLM models and Generative AI workflows. - Leveraging Multi Modal AI capabilities to support all content types and modalities such as text, imagery, audio, speech, and video. - Continuously researching and exploring emerging trends and techniques in Generative AI and LLMs to remain at the forefront of innovation. - Leading product development and delivery within demanding timelines. - Engaging hands-on with code and guiding hands-on development Proof of Concepts (PoCs) to validate new ideas, shape new solutions, and provide direction to the development team. Skills and Competencies: Must-Have Capabilities: - Expertise in architecting and designing full-stack applications using the MERN stack (JavaScript) for both client-side and server-side applications. - Strong knowledge of architecting and designing full-stack applications using Python-based development, including Python Apps for LLM integration. - Proficiency in programming languages and key design patterns for both front-end and back-end development. - Previous experience leading solution design across front-end and back-end development. - Experience in solution design across Data Processing, Data Integration, API integration, Enterprise Systems Integration, and Workflow Design. - Experience in designing scaled Gen-AI solutions in Production, including the use of LLMs and Multi Modal AI. JavaScript / MERN Stack Competencies: - Minimum 8 years of hands-on experience in designing and building Full-Stack MERN apps using client-side and server-side JavaScript. - Strong solution design experience across Front-End Web Apps and Web Development, especially apps built on React.js. - Strong solution design experience with API Definition and Design, Micro Services Architecture best practices, and microservices solution design. - Hands-on experience with Node.js and related server-side JavaScript frameworks (e.g., Express.js, Nest.js). - Experience in deploying full-stack MERN apps to a cloud platform like Azure. - Working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js. - Experience with BFF frameworks such as GraphQL. - Experience with API Management and API Gateways. Gen-AI / LLM Apps with Python Competencies: - Minimum 5 years of hands-on experience in designing and building Python-based apps and solutions. - Minimum 2+ years of hands-on experience in designing scaled Gen-AI solutions with LLMs and LLM models. - Strong experience in designing custom data solutions in Python, including data processing pipelines, data workflows, and integrating customer and enterprise datasets to enhance LLM knowledge. - Solid experience in designing end-to-end RAG pipelines using advanced pre-processing, chunking, embedding, and ranking techniques to enhance LLM output quality. - Solid experience in designing LLM Pipelines that integrate structured and unstructured datasets from various sources. - Good experience in designing AI-enabled workflows that automate content, creativity, and business processes. - Hands-on experience in Conversational AI solutions and chat-driven experiences. - Hands-on experience with multiple LLMs and models like GPT-4o, GPT o1, o3 mini, Google, Gemini, Claude Sonnet, etc. - Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and preferably AWS Bedrock and/or GCP Vertex AI. - Experience in designing solutions utilizing AI Assistants and threaded messages to orchestrate with LLMs. - Experience working with AI Agents and Agent Services. - Experience in building Agentic AI workflows for iterative improvement of outputs. - Experience in evaluating and enhancing AI outputs. Multi Modal AI Competencies: - Experience in designing intelligent document processing and document content extraction pipelines. - Experience in utilizing Multi Modal AI models for Imagery and Visual Creative, including LoRA models. - Experience in Computer Vision and Image Processing using Multi Modal AI. - Experience in leveraging Multi Modal AI for Speech, including Text to Speech and Custom Speech training. - Experience in using partner APIs to orchestrate across various Multi Modal AI models. - Ability to lead a team of development leads for delivering Full-Stack MERN Apps and Products/Solutions based on LLMs and LLM models. Nice-to-Have Capabilities: MERN Stack and Cloud-Native App Development: - Experience in working with a Federated Graph architecture. - Experience in working with container apps and containerized environments. - Working experience with Web Components and Portable UI components. Python / ML LLM / Gen-AI App Development: - Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions and frameworks. - Experience with different Agent communication and chaining patterns. - Ability to utilize LLMs for Reasoning and Planning workflows that enable automated orchestration across multiple applications and tools. - Ability to use Graph Databases and Knowledge Graphs as an alternative or replacement for Vector Databases to enable more relevant semantic querying and outputs via LLM models. - Solid background in Machine Learning solutions. - Fundamental understanding of Transformer Models. - Some experience in custom ML model development and deployment. - Proficiency in deep learning frameworks like PyTorch or Keras. - Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent,

Role : Mobile Application Developer (Flutter) Location : Hyderabad Job Type : Full - Time Job Qualifications: - A minimum of 1-3 years of experience in Flutter Development is required. Must deploy at least 2 -4 projects on the App Store or Google Play Store. Exposure in OpenCV and image processing over camera effects is a value addition. Experience in Native Development Kit (NDK)/SDK is a must. Demonstrated experience owning a feature from scratch over app development is a plus. User design patterns like MVVM, and MVC architecture are a must. Hands-on experience in Object Oriented Programming (OOPs)- The ability to adapt to new technologies is a must. TDD experience with the unit and testing is a plus. Should be versatile in an Agile environment Must be a great problem solver with solid Algos & D.S. and excellent verbal and written communication skills. Backend Knowledge of Node.js, MongoDB, MySQL and APIs is an added advantage WHO ARE WE? We are extremely delighted to introduce our successful enterprise. We Qurinom Solutions, offer you the best assistance for your business transformation in information technology. Our multifaceted team of highly qualified and experienced teams from diverse professional fields assure you superior quality of Products & services in almost every domain. Precision and punctuality towards services are our forte. We are obliged to serve clients across Asia, and Africa with our headquarters in India, and branches in Indonesia, Singapore, and Johannesburg. WHAT We Do? We build large-scale applications over mobility over AI, Image processing, ML, and NLP and serve hedge clients across Asia, Africa helping our clients with cutting-edge services like Digital transformation, IT Consulting, UX/UI Modernization, Mobile App Development, Cloud computing, Embedded Systems, IoT & Blockchain. WHY Join US? Creating an Employee friendly environment is our assurance. Your growth and development, excelling in your career is our responsibility.