1889 Image Processing Jobs - Page 15

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 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 various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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 sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based in Pune.- 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 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.- Expected to provide solutions to problems that apply 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 and deployment of AI solutions across various domains. 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 12 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

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 : Prompt Engineering Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will 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 perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Stay updated with the latest AI/ML technologies and trends.- Collaborate with cross-functional teams to implement AI solutions.- Develop and deploy machine learning models.- Optimize AI algorithms for performance and scalability.- Conduct research to enhance AI capabilities. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt 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 3 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

Position Purpose The AI Solution Developer will be responsible for developing AI-based solutions to enhance the capabilities of the Cyber and Fraud Detection teams. This role involves working closely with subject matter experts to adapt tools and continuously improve them based on user feedback. The developer will leverage Python and associated libraries to build and deploy machine learning models and user interfaces. Responsibilities Direct Responsibilities Develop and deploy AI-based solutions using Python. Build user interfaces using Streamlit, Gradio, Flask, and other relevant frameworks. Collaborate with subject matter experts to understand requirements and adapt tools accordingly. Implement ETL (extract transform load) processes to manage and transform data. Use libraries such as pandas and scikit-learn for data manipulation and machine learning tasks. Continuously improve tools based on user feedback and data insights. Contributing Responsibilities Support the AI department in upskilling the Cyber and Fraud Detection teams. Assist in the integration of new AI tools and technologies. Provide technical guidance and support to team members. Technical and Behavioural Skills Proficiency in Python programming. Knowledge of Large Language Models (LLMs) and machine learning. Experience with Streamlit, Gradio, and Flask for building interfaces. Understanding of the data lifecycle and the ability to use user feedback for continuous improvement. Knowledge of ETL processes. Familiarity with pandas and scikit-learn libraries. Strong collaboration and teamwork skills. Attention to detail and rigor. Adaptability and ability to manage change. Excellent oral and written communication skills. Specific Qualifications Bachelor Degree or equivalent in Computer Science, Data Science, or related field. Interest in AI/ML development and deployment. Experience with cross-cultural & international working environment. Behavioural Skills Creativity & Innovation / Problem solving Active listening Ability to collaborate / Teamwork Client focused Transversal Skills Ability to understand, explain and support change Analytical Ability Ability to set up relevant performance indicators Education Level: Bachelor Degree or equivalent

Experience - 8 To 16 Years Location - Chennai • Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm. • Proficiency in programming languages such as Python, C++ and CUDA.

Programming & Development Python: Advanced proficiency in Python development Software Design: Ability to create maintainable, well-tested code with proper error handling API Development: Experience creating RESTful services and endpoints DevOps & Infrastructure Containerization: Docker image building and optimization Package Management: Creating and maintaining Python packages and dependencies Orchestration: Experience with Kubernetes and/or RunAI . CI/CD: GitHub Actions workflow design and implementation . Cloud Platforms: GCP experience, particularly with tools like Cloud Batch or similar services . Resource Management: GPU allocation and workload optimization Infrastructure Automation Workflow Pipelines: Design and implementation of automated data workflows (processing, evaluation, deployment) . Artifact Management: Experience with versioning, storage, and metadata tracking for models or data artifacts Data Versioning: Implementing dataset versioning and change management . Format Conversion: Knowledge of artifact optimization and format conversion (e.g., ONNX, TFLite, TensorRT, SNPE) . Testing & Quality Assurance Automated Testing: Unit, integration, and E2E test implementation for software systems Performance Evaluation: Metrics calculation and performance benchmarking Additional Technologies [Optional] Configuration Systems: Experience with Hydra or similar configuration frameworks Experiment Tracking: Familiarity with W&B, MLflow, or similar tracking tools Image Processing: Understanding of computer vision workflows and image handling tasks Current Projects & Responsibilities Design and implement end-to-end deployment and monitoring pipelines . Create automated workflows for data processing, quantization, conversion, and evaluation . Develop version-controlled registries with comprehensive metadata capabilities . Build systems for automated testing across multiple target architectures . Implement robust data versioning and dataset management solutions . Maintain CI/CD pipelines for software and system lifecycle management . Optimize Docker environments for development and deployment. Develop Python libraries and APIs for internal consumption

PiCaSoid is looking for 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

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 Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. 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.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Strong Engineering experience with advance python skills.- ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Good exposure of cloud based services including AI services.- Must have thorough understanding of infrastructure need for MLOps implementation.- Must have python skills.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- 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 : Machine Learning Operations 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 that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Strong Engineering experience with advance python skills.- Design, build, and maintain LLM pipelines for training, fine-tuning, evaluation, and deployment.- Work on operationalize LLMs, from experimentation to deployment in production environments.- Implement and monitor observability tools for LLM applications (latency, throughput, prompt performance, hallucinations, drift, etc.).- Manage prompt management and versioning systems, as well as fine-tuning and retrieval-augmented generation (RAG) workflows.- Automate model validation, testing, and CI/CD pipelines to support safe and efficient LLM deployment.- Ensure security, compliance, and ethical use of LLMs in production environments (e.g., data governance, bias detection).- Stay updated with advances in LLM infrastructure, serving frameworks, and tooling ecosystems.- Must To Have Skills: Proficiency in Machine Learning Operations.- Good exposure of cloud based services including AI services.- Must have thorough understanding of infrastructure need for LLMOps implementation.- Must have python skills.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- 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 : Machine Learning Good to have skills : NAMinimum 2 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 various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the advancement of AI technologies within the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to identify and implement best practices in AI and machine learning.- Continuously evaluate and improve existing AI models and applications to enhance performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Experience with cloud-based AI services and deployment.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of model evaluation metrics and performance tuning. Additional Information:- The candidate should have minimum 2 years of experience in Machine Learning.- This position is based at our Pune 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 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and optimize existing solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI applications.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of model evaluation metrics and performance tuning. Additional Information:- The candidate should have minimum 3 years of experience in Machine Learning.- This position is based at our Noida 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 : Python (Programming Language) 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 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 various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing AI models and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of software development best practices, including version control and testing. Additional Information:- The candidate should have minimum 5 years of experience in Python (Programming Language).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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: 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 Mandatory Key Skills Prompt Engineering,Generative AI*,performance metrics,data processing,OpenAI*,Claude*,llm,data engineering,artificial intelligence,video processing,application development

Skill - Python + GenAI + Argo + Kubernetes For Milkyway Required Skills

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 ournext-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

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

Responsibilities: * Develop AI models using image processing, OpenCV, ML algorithms with PyTorch/TensorFlow. * Collaborate with radiation oncologists on research projects. *B.E/ M.S/Ph.D- Comp Sci, Biomedical engg or AI

We are looking for a highly skilled and experienced Generative AI Engineer to join our team at Assemblage Entertainment, with 3-8 years of experience in the field. Roles and Responsibility Design and develop generative AI models for various applications. Collaborate with cross-functional teams to integrate AI models into existing systems. Develop and implement data augmentation techniques to enhance model performance. Conduct research on new AI technologies and trends to stay updated. Optimize model performance using hyperparameter tuning and other techniques. Work closely with the development team to ensure seamless integration of AI models. Job Requirements Strong understanding of deep learning concepts, particularly in generative adversarial networks (GANs) and variational autoencoders (VAEs). Experience with programming languages such as Python, Java, or C++ is required. Familiarity with cloud platforms like AWS or Google Cloud for deploying AI models. Knowledge of agile development methodologies and version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

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:17 k in hand | 21 k CTC Exp:21k in hand | 25K CTC

Roles and Responsibility Assist in operating X-ray equipment and other medical imaging devices. Prepare patients for X-ray procedures and ensure proper patient positioning. Maintain accurate records of X-ray images and results. Collaborate with healthcare professionals to provide high-quality patient care. Develop and implement new techniques to improve X-ray image quality. Participate in ongoing education and training to stay current with latest technologies and techniques. Job Requirements Strong knowledge of X-ray principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle sensitive information. Strong attention to detail and organizational skills. Familiarity with medical imaging software and technology. Experience working in a biotechnology, pharmaceutical, or clinical research industry is preferred.

Research Associate - I ICRISAT seeks applications from dynamic and motivated Indian Nationals for the position of Research Associate I under the category of National Project Workforce (NPW). The incumbent will support the planning and implementation of both field-based and controlled environment experiments focused on soil-borne diseases affecting legume crops. The position is based in Patancheru, Hyderabad, Telangana. ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi- arid or dryland tropics has over 2 billion people and 644 million of these are the poorest of the poor. ICRISAT and its partners help empower these disadvantaged populations to overcome poverty, hunger and a degraded environment through better agricultural production systems. ICRISAT is headquartered at Patancheru near Hyderabad, India, with two regional hubs and eight country offices in sub-Saharan Africa. ICRISAT envisions a prosperous, food-secure and resilient dryland tropics. Its mission is to reduce poverty, hunger, malnutrition and environmental degradation in the dryland tropics. ICRISAT conducts research on its mandate crops of chickpea, pigeonpea, groundnut, sorghum, pearl millet and finger millet in the arid and semi-arid tropics. The Institute focuses its work on the drylands and in protecting the environment. Tropical dryland areas are usually seen as resource-poor and perennially beset by shocks such as drought, thereby trapping dryland communities in poverty and hunger and making them dependent on external aid. Please visit - www.icrisat.org Responsibilities: Assist in the design of experiments, surveys, development of data collection tools, such as questionnaires, and interview guides related to crop production and protection Analyze the impacts of climate change on crop pest and disease dynamics and assess implications for agroecological services using historical datasets and climate projections Manage large-scale data integration workflows involving AI, image processing field observations to support research and decision-making for crop stress detection and management Calibrate and validate crop and pest models using multi-source data to contribute to scenario-based early warning systems and policy advisory tools Contribute to research on climate change impacts on agriculture, adaptation planning, crop loss assessment due to pests, and the advancement of citizen science approaches Integrate diverse datasets, including microbial, phenotypic, agronomic, and genomic data to identify functional relationships and potential biomarkers Prepare and disseminate scientific reports, peer-reviewed publications to communicate findings to scientific and policy audiences Assist in research proposal development, project management, and stakeholder communication to ensure effective delivery and impact of ongoing initiatives Perform additional research duties as assigned by the supervisor Essential Criteria: Master s or Ph.D. in Crop Protection, Agricultural Engineering, Environmental Sciences, Computer Science, or a closely related field Strong experience in data analysis, pest & disease modelling, and AI and digital tools Proficiency in Python, R, or similar tools for data processing and visualization Experience in citizen science, farmer engagement, or participatory digital tools Background in climate resilience, contributing to science-policy interface or international agricultural development projects Experience handling omics and genomic datasets; understanding of bioinformatics or phenotyping is an advantage Strong communication skills and experience working in interdisciplinary, multi-stakeholder environments NET qualification is preferred

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create The Role: As a Senior RTL Design Engineer, you will be part of an advanced architecture team that is exploring new hardware designs to improve our devices. In this role, you will be responsible for defining the micro-architecture and implementing the corresponding RTL for advanced functional blocks. You will participate in the design verification and bring-up of such blocks by writing relevant assertions, debugging code, test benches, test harnesses, and otherwise interacting with the extended team. You will participate in the lab bring-up of these blocks either in an FPGA or silicon by potentially writing test scripts, analyzing lab data, proposing experiments, etc. You will work closely with multi-disciplinary groups including Product Design, Audio Technology, Computer Vision, Hardware Engineering, and Software Engineering, to architect and implement complex functional block that enable development of world-class hardware devices. In this role, you will: Design world class hardware and software Communicate and work with team members across multiple disciplines Develop detailed design specifications and documentation Perform RTL coding and synthesis Work with Partners/Supplier to optimize and customize their products Run industry standard code quality tools and fix issues found by them Participate in test plan and coverage reviews The ideal candidate should have experience with RTL development environments, fluency in modern hardware description languages. They should have developed complex IP blocks from scratch that have successfully been integrated in SOCs or other such silicon that have been productized in consumer devices. They should be familiar with modern SoC architectures, various interconnect topologies such as AMBA AXI, APB, AHB, and implementations. Experience with I/O interfaces such as SPI, I2C, I2S, PDM, and MIPI CSI/DSI/Slimbus/Soundwire is preferred. Experience with memory instantiation and memory compilers is also preferred. We are looking for a self-driven individual who can work with architects, HW and SW developers and can quickly resolve blocking issues. If you have the required skills and experience, we encourage you to apply for this exciting opportunity to join our growing hardware design team. Masters degree in Electrical/Computer Engineering or related field 7+ years of RTL development experience with a record of taping out production silicon Experience with design development using Verilog/SystemVerilog Experience in defining micro-architecture from architecture guideline and model analysis. Experience in performance/power/area analysis and trade-offs Proficient in design methodologies and EDA tools Experience working with Synthesis, timing closure, and design constraints Excellent problem-solving and debugging skills Ability to work collaboratively in a team environment and communicate technical ideas effectively PhD in Computer Science, Electrical Engineering, or related field Experience with design of video/graphics pipeline and image processing algorithms Familiarity with display panel and display driver IC technologies Experience with ARM and various DSP ISA Experience debugging system-level issues Experience in entire design flow from architecture to final silicon. Good programming skills in C/C++ and scripting skills in Python, Tcl, and/or Perl 10 years or more of practical experience Experience with wide variety of low power design techniques Working experience with high performance industry standard buses like AMBA AXI4 Experience in integrating third party IP blocks, building top level modules, defining clock domains and power domains Large breadth of knowledge from architecture through physical design Knowledge of FPGA and emulation platforms Knowledge of SoC architecture Excellent verbal and written communication skills

Techwave is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions