1889 Image Processing Jobs - Page 16

Contribute to research and development initiatives focused on Computer Vision, Image Processing , and Deep Learning applied to construction-related data. Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files . Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs). Follow best data science and machine learning practices , including data-centric development, experiment tracking, model validation, and reproducibility. Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications. Write clean, scalable, and production-ready code using Python and frameworks like PyTorch , TensorFlow , or HuggingFace . Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges. Skills & Requirements 5-6+ years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning . Solid understanding of image processing , visual document understanding, and feature extraction from visual data. Familiarity with SVG graphics , NLP , or LLM-based architectures is a plus. Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction , and representation learning. Proficiency in Python and ML frameworks such as PyTorch , OpenCV , TensorFlow , and HuggingFace Transformers . Hands-on experience with model optimization techniques (e.g., quantization , pruning , knowledge distillation ). - Good to have Experience with version control systems (e.g., Git ), project tracking tools (e.g., JIRA ), and cloud environments ( GCP , AWS , or Azure ). Familiarity with Docker , Kubernetes , and containerized ML deployment pipelines. Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate. Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills.

RingCentral is looking for Senior AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

To assist in providing quality patient services using medical imaging equipment, as directed by surgeons in operation theatre in accordance with the hospital norms and values Special Skills : Knowledge of medical imaging equipment and film processing. Additional Skills/ Professional Characteristics : Knowledge of medical imaging equipment and film processing.

About the Role: We are looking for a Senior Software Engineer to work on core systems powering health data pipelines, secure user messaging, image uploads, and AI-enabled features. You will contribute to building robust microservices, efficient data pipelines, and modular infrastructure to support our next-gen health platform. Responsibilities: - Develop and maintain microservices for: - Health data exchange and real-time access - Chat/messaging and AI chatbot experiences - Image upload, parsing, and visualization pipelines - Write clean, testable code in Kotlin with Spring Boot - Work with Redis for caching, OpenSearch for fast querying, and PostgreSQL for persistence - Follow established engineering practices around testing, deployments, and logging - Participate in architectural discussions, code reviews, and optimization efforts - Work cross-functionally with QA, product, DevOps, and design teams Qualifications: - 4-7 years of backend engineering experience - Proficiency in Kotlin (or Java) and Spring Boot - Knowledge of Redis, OpenSearch, PostgreSQL - Experience building microservices and RESTful APIs - Exposure to messaging platforms, chat engines, or AI conversation systems - Basic understanding of image processing or file handling in backend systems - Comfortable in CI/CD, containerized deployments, and observability tooling

An AI/ML Engineer designs, develops, and deploys machine learning models and AI solutions. They preprocess data, build algorithms, optimize performance, and integrate models into applications to solve real-world problems using AI and automation.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Meet the Team We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, were building a tight-knit group of AI and infrastructure experts driven by > We thrive in a fast-paced, experimentation-rich environment where new technologies arent just welcome theyre expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. IMPACT Cisco is seeking a forward-thinking AI Infrastructure Engineer to help design and implement the next-generation AI products. This role will focus on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem. As an AI Infrastructure Engineer at Cisco, you will play a pivotal role in shaping the AI systems that enable cutting-edge innovations. Your work will directly impact: -The performance and efficiency of AI workloads on the node. -The reliability and availability of AI systems for Ciscos customers. -Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries. -Collaboration across internal teams to bring system level innovation across different cisco products. Your contributions will help Cisco maintain its leadership in AI infrastructure development and influence the broader AI and machine learning community. Key Responsibilities -Design and develop node-level infrastructure components to support high-performance AI workloads. -Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs. -Minimize downtimethrough seamless configandupgrade architecture for software components. -Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators. -Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance. -Work with distributed system fundamentals to ensure scalability, resilience, and reliability. -Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals. Minimum Qualifications: -Proficiency in programming languages such as C/C++, Golang, Python, or eBPF. -Strong understanding of Linux operating systems, including user space and kernel-level components. -Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes. -Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). -Strong debugging and problem-solving skills for complex system-level issues. -Bachelors degree+ and relevant 8-12 years of Engineering work experience. Preferred Qualifications: -Linux kernel and device driver hands-on expertise is a plus. -Experience in GPU programming and optimization, including CUDA, UCX is a plus. -Experience with high-speed data transfer technologies such as RDMA. -Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. -Nvidia MIG and MPS concepts for managing GPU consumption.

Looking for Siemens EDA Ambassadors- QuestaSim (Simulation) R&D team (strong AI/ML background) This is your role In this role, you will, craft and develop AI/ML-driven algorithms and solutions to improve simulation tools' performance and capabilities. Contribute to building state-of-the-art engines and components, integrating machine learning techniques into simulation and verification workflows. Contribute to the development and improvement of production-quality components, algorithms, and engines while supporting and improving existing codebases. Solve complex, open-ended problems in collaboration with a senior group of engineers in a fast-paced and multifaceted environment. Apply technical expertise in AI/ML frameworks, data-driven problem solving, and traditional simulation technologies to achieve project milestones. Stay self-motivated, disciplined, and focused while driving innovation within the team. Required Qualifications We are seeking a graduate with Bachelors or Masters degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field from an accredited institution. We value your experience with conceptualizing, defining, architecting, and implementation of an open-ended problem scope or new insights. Hands-on experience with AI/ML techniques, including supervised and unsupervised learning, neural networks, and reinforcement learning. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Knowledge of machine learning and deep learning frameworks. Strong understanding of Compiler Concepts, Optimizations, and parallel computing. Experience working on UNIX and/or LINUX platforms. Excellent problem-solving and analytical skills. Proven track record to work independently, take ownership of tasks, and deliver results A plus! Basic knowledge of Digital Electronics and concepts related to SystemVerilog, Verilog, and VHDL. Exposure to Simulation technologies or Formal-based Verification methodologies is a plus!

JOB DESCRIPTION / RESPONSIBILITIES: The Specialist Data Science (SDS) will report to the Deputy Director Data Science and support the data science initiatives of the Department of Health and Family Welfare and the Department of Medical Education, Uttar Pradesh, to improve public health. The SDS will work closely with cross-functional organizations and teams, including government officials, vendors, IHAT teams, and other partner organizations of IHAT , to identify data science opportunities, develop strategies, and implement innovative data science solutions to enhance the public health system. Key Roles and Responsibilities: (1) Developing end-to-end data science-related projects at IHAT; (2) Collaborating with vendors to implement large scale data science products for public health; (3) Taking ownership of the complete lifecycle of data science products, from conception to rollout, encompassing capacity building of end users and related activities; (4) Knowledge dissemination including effectively communicating complex findings to both technical and non-technical audiences, sharing insights through presentations, reports, paper publications, and visualizations, and mentoring junior team members. (5) Any other work as assigned by the supervisor. 4. QUALIFICATIONS, EXPERIENCE AND COMPETENCIES: Qualifications and Experience: (1) A master degree or higher such as PhD, M. Tech., MCA, MSc. relevant to Digital/ Information Technologies, Computer Science/ Data Science/ Computer Applications, or its equivalent; (2) Minimum of three to five years of professional experience in advanced machine learning, deep learning, and AI techniques is essential; (3) Leadership experience in managing data science teams or projects, and/or working with data science teams in government organizations, shall be preferable. Skills and Competencies: (1) Proficiency in Python, SQL and Excel is required; (2) Expertise in machine learning and deep learning techniques specifically in image processing, predictive modeling, natural language processing, and data mining is essential; (3) Experience in Android application programming will be an added advantage; (4) Good knowledge of version control, continuous delivery, unit testing, documentation, and release management; (5) Knowledgeable about cloud-based platforms (AWS, Google Cloud Platform, Azure) and GPU acceleration for scalable model development. (D) Relationships (1) Internal : Deputy Director, Data Science and other internal team. (2) External : Officials of the Government of Uttar Pradesh (GoUP). IHATs Values in Practice (1) Community Centric : It is the communities IHAT serves and the community at IHAT that drives it forward; (2) Think Sustainability : IHAT believes in engaging with the government and communities to scale up and sustain positive outcomes; (3) Scientific and Innovative : IHAT relentlessly pursues scientific rigour and adapts its work in the face of new evidence. It encourages out-of-the-box thinking and challenges itself to do better; (4) Interdisciplinary : IHAT foster discussion, debate and deliberation across disciplines to arrive at the best possible solution. 5. COMPENSATION OFFERED: Gross compensation budgeted for the position is attractive. Please note that the offer made to the selected candidate shall be commensurate with qualifications, experience, and salary history.

AI Infrastructure Engineer - C++/Golang (Low Level Coding/Programming) | Artificial Intelligence | Linux | Kubernetes | Kernel IMPACT Cisco is seeking a forward-thinking AI Infrastructure Engineer to help design and implement the next-generation AI products. This role will focus on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem. As an AI Infrastructure Engineer at Cisco, you will play a pivotal role in shaping the AI systems that enable cutting-edge innovations. Your work will directly impact: -The performance and efficiency of AI workloads on the node. -The reliability and availability of AI systems for Ciscos customers. -Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries. -Collaboration across internal teams to bring system level innovation across different cisco products. Your contributions will help Cisco maintain its leadership in AI infrastructure development and influence the broader AI and machine learning community. Key Responsibilities -Design and develop node-level infrastructure components to support high-performance AI workloads. -Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs. -Minimize downtimethrough seamless configandupgrade architecture for software components. -Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators. -Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance. -Work with distributed system fundamentals to ensure scalability, resilience, and reliability. -Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals. Minimum Qualifications: -Proficiency in programming languages such as C/C++, Golang, Python, or eBPF. -Strong understanding of Linux operating systems, including user space and kernel-level components. -Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes. -Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). -Strong debugging and problem-solving skills for complex system-level issues. -Bachelors degree+ and relevant 11+ years of Engineering work experience. Preferred Qualifications: -Linux kernel and device driver hands-on expertise is a plus. -Experience in GPU programming and optimization, including CUDA, UCX is a plus. -Experience with high-speed data transfer technologies such as RDMA. -Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. -Nvidia MIG and MPS concepts for managing GPU consumption.

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

Min. 6 months of any customer service experience Freshers can apply too 5 days working Grads only Rotational shifts and offs Both side cabs Loc: Gurgaon Salary: Freshers:17k in hand | 20k CTC Exp:22k in hand | 25K CTC

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering Good to have skills : NAMinimum 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including 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 the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI/ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Prompt Engineering.- 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 : Data Engineering Good to have skills : NAMinimum 7.5 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including 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 the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- 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 Data Engineering.- 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 : Computer Vision Good to have skills : NAMinimum 7.5 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 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 the implementation of cutting-edge AI/ML solutions.- Stay updated on the latest AI/ML trends and technologies.- Mentor junior team members in AI/ML best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- 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 Computer Vision.- 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 7.5 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 utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. 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 the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development of innovative AI solutions. 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 5 years of experience in Large Language Models.- 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 : Data Engineering Good to have skills : NAMinimum 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including 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 the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- 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 5 years of experience in Data Engineering.- 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 : Data Engineering Good to have skills : NAMinimum 7.5 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including 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 the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- 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 5 years of experience in Data Engineering.- 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 : Data Science Good to have skills : NAMinimum 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including 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 the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- 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 5 years of experience in Data Science.- 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 : Data Science Good to have skills : NAMinimum 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including 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 the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- 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 5 years of experience in Data Science.- 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 : Data Engineering Good to have skills : NAMinimum 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 utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including 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 the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- 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 5 years of experience in Data Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role 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 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 into solutions. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead AI/ML projects from conception to deployment.- Collaborate with cross-functional teams to design and implement AI solutions.- Stay updated on the latest AI/ML technologies and trends. 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 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 15 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 : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making. 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.- Facilitate knowledge sharing and best practices within the team and across departments.- Mentor junior professionals to enhance their skills and understanding of data science methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data.- Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to effectively communicate insights. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- 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 : Data Science, SQL, wcf Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Data Scientist with 5 to 7 years of experience, and at least 3+ years of genuine experience in building production-grade ML models (Regression, Forecasting, Classification etc.) and getting them deployed in production rather than just proof of concept or learning projects. Roles & Responsibilities:- At least 3+ years of relevant experience in data science, specifically in building and deploying production models (Regression, Forecasting, Classification etc.)) rather than just proof of concept or learning projects - Experience in building or training machine learning models to a production environment that are actively used by end-users or systems - Experience in maintaining or monitoring machine learning models in production for more than six months - Experience in working on projects where they had to retrain or redeploy models based on new data in a production setting - Experience in using version control systems (e.g., Git) for managing your data science projects in production - Experience in collaborating with DevOps or MLOps teams to deploy and scale machine learning models in production- Strong programming skills, particularly in Python - Experience in written Python codes (Data Science) that is currently running in a production environment - Experience in using Python for data manipulation, analysis and feature engineering in a production setting - Experience in working on end-to-end Data Science pipelines - Experience in creating environments for different libraries in production for different versions - Experience in optimizing Python code for performance in a production system- Ability to work in Agile environment and using tools like Git, Jira, Confluence etc- Experience of working in Azure ML Professional & Technical Skills: - Must To Have Skills: Data Science, Azure ML, Python Additional Information:- 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 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 utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. 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 the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques like deep learning and neural networks.- Design and develop AI solutions using cloud AI services.- Collaborate with cross-functional teams to integrate AI technologies into various applications. 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 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education