642 Opencv Jobs - Page 26

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Cloud Data Architecture Good to have skills : NA Minimum 18 year(s) of experience is required Educational Qualification : Any degree Summary :As an AI / ML Engineer, you will develop applications and systems utilizing AI to enhance performance and efficiency, incorporating deep learning, neural networks, chatbots, and natural language processing. Roles & Responsibilities: Expected to be a SME with deep knowledge and experience. Should have influencing and Advisory skills. Engage with multiple teams and responsible for team decisions. Expected to provide solutions to problems that apply across multiple teams. Provide solutions to business area problems. Lead AI/ML projects from conception to implementation. Collaborate with cross-functional teams to design and develop AI solutions. Stay updated on the latest AI/ML technologies and trends. Professional & Technical Skills: Must To Have Skills:Proficiency in Cloud Data Architecture. Strong understanding of AI and ML concepts. Experience in developing AI applications using deep learning and neural networks. Knowledge of chatbots and natural language processing. Hands-on experience with AI/ML tools and frameworks. Familiarity with cloud platforms for AI/ML deployment. Additional Information: The candidate should have a minimum of 18 years of experience in Cloud Data Architecture. This position is based at our Mumbai office. A degree in any field is required. Qualifications Any degree

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 : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BTech Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 3 - 5 years of experience in Google Cloud Machine Learning Services.and overall Experience around 5 - 7 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech

Wipro Limited (NYSE:WIT, BSE:507685, NSE:WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role : Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities:- Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills:One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following:Tableau, Hadoop, Spark, HBase, Kafka Experience:- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following:Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have:- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role : Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition %

Wipro Limited (NYSE:WIT, BSE:507685, NSE:WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role : Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: At Qualcomm XR Research, we develop state-of-the-art XR technologies to enable exceptional AR/VR/MR experiences for users. We are seeking a highly skilled XR Testing Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality and performance of our XR systems through comprehensive testing and analysis. This role involves a combination of test automation, KPI development, UX testing, anchor testing, and reporting. The candidate will also engage in discussions with stakeholders to ensure alignment and clarity on testing objectives and outcomes. Key Responsibilities: Develop and implement test automation strategies for XR systems. Create and monitor Key Performance Indicators (KPIs) for various testing processes. Conduct User Experience (UX) testing to ensure optimal user interaction with XR systems. Perform anchor testing and develop anchor KPIs to measure system stability and accuracy. Generate detailed reports on testing outcomes and present findings to stakeholders. Collaborate with stakeholders to discuss testing requirements, progress, and results. Required Qualifications: Experience in testing XR/SLAM/VIO systems. Familiarity with test automation tools and frameworks. Knowledge of KPI development and monitoring. Background in UX testing focused on XR devices. Good knowledge of computer vision systems and their role in XR. Strong mathematical and analytical skill Exposure to multi-sensor data fusion techniques and their implementation. Strong communication skills to effectively discuss testing results with stakeholders. Education and experience: Required:Bachelors in computer science or electrical & computer engineering with at least 7+ years of relevant experience. Preferred:Masters in computer science or electrical & computer engineering with at least 6+ years of relevant experience. Keywords XR Device testing, SLAM system testing, computer vision, user experience testing, KPI development. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. 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 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from 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.

Ocean MTech PVT LTD is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions. Education eligibility : HTML ,Css , JavaScript, Bootstrap, Python, Flask, Docker, AWS, Jenkins, mySql, MongoDB, weaviate, Git, Selenium, Opencv

Skill :Python, Flask, ML/DL modeling, Agile Scrum, Project management Exp :5.5 to 9 Years. Location :chennai/ hyderabad/ bangalore/ coimbatore/ Pune NP :0 to 90 days.

Broad Function: We are seeking for an experienced Robotics Engineer with minimum 5+ years of experience expertise in package handling systems and logistics automation. The ideal candidate will have experience in developing autonomous vehicles and pick-and-place robotic arms for industrial or logistics applications. This role involves designing, developing, and integrating robotic solutions to enhance efficiency and automation in logistics operations. Roles and Responsibilities: Design & Development: Develop and optimize robotic systems for package handling and logistics automation. Autonomous Navigation: Implement navigation systems for autonomous vehicles in structured and unstructured environments. Pick-and-Place Automation : Work on robotic arms for automated picking, sorting, and placement of packages. Computer Vision & AI Integration: Implement AI-driven object recognition and package tracking. System Integration: Ensure smooth communication between hardware, software, and logistics control systems. Testing & Optimization : Build and refine prototypes to improve performance and reliability. Compliance & Safety: Ensure adherence to industry standards and safety regulations for autonomous robotic systems. Requirements Desired Candidate profile- Bachelors/Masters degree in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Minimum 5+ years of experience in designing and implementing autonomous robotic systems for logistics or industrial automation. Proficiency in robotic frameworks such as ROS (Robot Operating System). Experience with motion planning, SLAM (Simultaneous Localization and Mapping), and real-time navigation. Hands-on experience in designing robotic arms with precision pick-and-place capabilities. Knowledge of LiDAR, depth cameras, and sensor fusion** for navigation and object detection. Programming proficiency in Python, C++, and embedded systems programming. Familiarity with AI/ML frameworks (TensorFlow, OpenCV, PyTorch) for robotic vision applications. Experience with edge computing and IoT-enabled robotics Worked on AGVs (Automated Guided Vehicles) or AMRs (Autonomous Mobile Robots). Experience in warehouse automation, sorting systems, or industrial robotics. Familiarity with mechanical design for robotics and real-world deployment challenges. Understanding of robotic kinematics, control algorithms, and automation protocols

Responsibilities Develop modular, reusable components for internal AI projects , ensuring scalability and long-term usability. Collaborate with the team to manage tasks within a structured Agile framework , while ensuring priority tasks are addressed efficiently during each sprint. Balance a workload that includes both development and cross-team communication to ensure the progress of high-priority tasks. Ensure clear and effective communication with team members, particularly within project standups and ongoing task tracking. Take ownership of tasks while working within an established structure and manage changing priorities when necessary. Demonstrate a proactive approach in solving problems and propose innovative solutions to improve existing AI frameworks. Required education Bachelor's Degree Required technical and professional expertise 2+ years of relevant industry experience Proficiency in Python and experience in developing projects (either through college work, internships, or personal projects). Demonstrated innovation and creativity in AI-related projects or any technical domain. Foundational knowledge and interest in artificial intelligence and modern AI technologies (such as machine learning, deep learning, NLP, etc.). Ability to work in a collaborative, structured Agile environment and manage tasks within a sprint while maintaining flexibility for high-priority changes. Strong communication skills and an ability to work well with different teams to ensure project success and progress. Preferred technical and professional experience Familiarity with AI frameworks and libraries (such as TensorFlow , PyTorch , scikit-learn , etc.). Experience with version control systems like Git . Experience in Agile development processes, task management, and team communication.

About The Role : Are you passionate about exploring computer architecture for AI? Are you excited about squeezing every cycle of performance through software optimizations? We are seeking world-class software developers and performance architects to join us and optimize open source AI frameworks, libraries and models on Intel accelerators. In this role, you will have opportunity to democratize AI by working with hundreds of thousands smart developers in open ecosystem and make a big technical impact in open source AI frameworks and libraries such as PyTorch, HuggingFace, JAX, vLLM etc. What You'll Be Doing- Craft the design to get Intel accelerators/GPUs/CPUs optimized in open source AI frameworks. Performance modelling, profiling, debug, and code optimization with architectural knowledge of hardware- Develop highly optimized deep learning kernels for Intel accelerators/GPUs/CPUs.- Interact with multiple technologists in the company to influence architectures and optimize/customize software offerings.- Explore and expand the boundary of innovative technologies for peak performance. Qualifications You are good at:- Master, PhD or equivalent in relevant fields (Computer Science, EE, Math)- 12+ years of relevant working experience- Strong programming skills in C, C++, and Python- Familiar with GPU architecture and GPU programming- Experience with designing software architecture, interfaces and abstraction- Excellent written and oral communication skillsExtra Awesome:- Background with deep learning fundamentals, frameworks, graph compilers, LLVM, MLIR etc.- Experience in developing/optimizing deep learning frameworks such as PyTorch , TensorFlow, JAX etc.- Familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering- Track record of leading a project and mentoring junior engineers.- Track record of maintaining or contributing to open source projects. Inside this Business Group The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world. Position of Trust This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

We are looking forward to hire Data Analysis Professionals in the following areas : 0-2 Years Programming Languages: Python, SQL Technologies: Langchain, OpenAI, Django and DRF, Tensorflow, Pytorch Database: Postgre, SQL, MySQL Data Analytics: Numpy, Pandas, Matplotlib, Seaborn, Statistical Analysis, Data Visualization, Tableau, Power BI Machine Learning: Generative AI, Deep Learning, NLP, Transformers, Open CV, Classical ML Tools: VS Code, Jira, Git, Docker Cloud Platform: AWS / Azure Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Develop & Implement ML Models: Design, build, and deploy advanced models in computer vision, NLP, and generative AI. Data Preparation & Analysis: Collect, preprocess, and analyze diverse datasets to create robust models. Research & Experimentation: Stay ahead of the curve with the latest research and experiment with new techniques to enhance model performance. Collaborate: Work closely with cross-functional teams to integrate machine learning solutions into production systems. Optimize & Maintain: Ensure models are optimized for speed, accuracy, and scalability, and continuously improve based on feedback. Document & Report: Keep detailed documentation of processes and communicate findings effectively to stakeholders. Requirement: Educational Background: Bachelor s or master s degree in computer science, Data Science, or a related field. Experience: 3+ years of hands-on experience in machine learning with a focus on computer vision and generative AI. Technical Skills: Proficiency in Python, TensorFlow, Keras, PyTorch, OpenCV, Langchain, and experience with generative models like GANs, VAEs, and autoregressive models. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Soft Skills: Excellent communication, teamwork, problem-solving, and critical-thinking abilities.

We are looking for a Data Scientist with a strong background in Machine Learning, Deep Learning, and AI-driven applications. The ideal candidate should be passionate about building models, extracting insights from data, fine-tuning LLMs, and developing AI-powered solutions. You will work closely with cross-functional teams to develop innovative AI applications and help drive data-driven decision-making. Key Responsibilities: Data Analysis & Pattern Recognition ? Read and analyze large datasets to uncover trends and actionable insights. Model Development ? Build, train, and optimize Machine Learning/Deep Learning models. Generative AI & LLM Fine-Tuning ? Work on fine-tuning large language models, Retrieval-Augmented Generation (RAG), and NLP/NLU applications. AI-Powered Applications ? Develop AI-driven applications, including chatbots and automation tools. Computer Vision & OpenCV ? Implement image processing and deep learning models for visual data. MLOps & Deployment ? Develop and deploy ML models using MLOps frameworks for scalability and efficiency. Agentic AI & Autonomous Systems (Preferred) ? Research and implement AI agents for decision-making tasks. Data Visualization & Insights ? Utilize visualization tools to present findings and support strategic decisions. Domain Understanding & Strategy ? Collaborate with stakeholders to understand business needs and contribute AI-driven solutions. Be a team player and help the team to build applications Requirements Programming: Python Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn NLP & NLU: Large Language Models, Transformers, RAG Applications Computer Vision: OpenCV, Image Processing, Object Detectio MLOps & Model Deployment: Docker, Kubernetes, MLflow Generative AI & LLM Fine-Tuning: OpenAI, Hugging Face, LangChain Data Visualization: Tableau, Power BI, Matplotlib, Seaborn Agentic AI (Preferred but not mandatory)

Design, develop, and optimize applications using Python or Go with a focus on AI and ML-driven functionalities. Work with frameworks like Langchain, Langgraph, and Langsmith to build advanced language processing solutions. Implement and manage Kubernetes operators to support scalable, distributed systems. Develop and enhance Retrieval-Augmented Generation (RAG) workflows, including optimization for performance and accuracy. Research, design, and implement Machine Learning, Deep Learning, and Neural Network models to solve complex problems. Apply advanced techniques in Natural Language Processing (NLP) to enhance system capabilities. Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and platforms. Stay updated on the latest trends in AI/ML and cloud-native technologies to ensure the use of best practices. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2+ years of experience. Hands-on experience with Langchain, Langgraph, or Langsmith frameworks. Solid understanding of Kubernetes operators and their deployment. Strong expertise in Machine Learning, Deep Learning, and Neural Networks. Proficiency in Natural Language Processing (NLP) and related libraries. Knowledge of Retrieval-Augmented Generation (RAG) workflows and optimization techniques. Familiarity with cloud-native technologies and distributed systems. Excellent problem-solving skills, a collaborative mindset, and a passion for innovation. Preferred technical and professional experience Prior experience working in AI/ML model optimization or inference pipelines. Exposure to containerization tools such as Docker and orchestration platforms like Kubernetes. Familiarity with vector databases and hybrid search solutions.

The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems. Job Description - Grade Specific The primary responsibilities revolve around assisting in the development, implementation, and deployment of machine learning models and systems

Location: Vishakapatnam Andhra Pradesh India Duration: 1 year Job Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks Stay up to date with developments in the machine learning industry Skills Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Familiarity with data structures, data modeling, and software architecture Expertise in visualizing and manipulating big datasets Proficiency with OpenCV Familiarity with Linux Ability to select hardware to run an ML model with the required latency