Visionify.ai is looking for Computer Vision / AI Engineer (Intern) 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 Join our team to help develop and implement computer vision and AI algorithms for safety applications in industrial environments. Requirements: BS/MS in Computer Science, AI, or related field

Min. 0 to 1 year experience Job Description We are looking for a Python Developer (Fresher) to join our team and contribute to building efficient and scalable Python applications.The ideal candidate should have a strong foundation in Python programming and a basic understanding of Python libraries like pandas and numpy . we are only Looking for Surat local candidates right now. This is a great opportunity for freshers to grow their skills in a collaborative environment. what do we need from you Develop, enhance, and maintain Python scripts leveraging core libraries. Utilize popular Python libraries such as Pandas, NumPy, Requests, OpenCV, and more. Write clean, efficient, and reusable code to drive project success. Debug and optimize existing Python programs to ensure optimal performance. Collaborate closely with the team to automate tasks and handle data effectively. Technical Skills You Should Have Familiarity with Git for version control to manage code efficiently. Strong problem-solving abilities to tackle complex challenges. Key Expertise Proficiency with Python libraries like Pandas, NumPy, and Matplotlib. Basic understanding of working with REST APIs and handling JSON/XML data. Qualification Freshers are welcome for this position. We are hiring for surat local candidates only. Must have graduation Complted in related field. Experience Minimum of 6 months of hands-on experience in Python development is plus. (framework knowledge not required). Leveraging tech to drive a better IT experience.

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNN’s and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. R_288254 Show more Show less

Greetings From Pranathi Software Services Pvt Ltd!!! We have vacancies for Data Scientist position in our organization. 📌 Experience: 3+ years 📌 Location: Hyderabad(Onsite) 📌 Timings: 12PM to 9PM Required Skills & Qualifications: Programming: Proficiency in Python. Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models. NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc. Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks. Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques. Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods. Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications. Django: Experience in building and maintaining backend services and APIs. Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling. REST API Development: Experience in developing and integrating APIs for AI-powered applications. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Looking for Immediate Joiners. If interested please share your updated resume at harish@pranathiss.com Show more Show less

Job Description: Position : Lead Computer Vision Engineer Location : Hyderabad Experience Required: 6+ years in Automation Manufacturing Industries Job Type: Full-Time Industry: Automation, Manufacturing, Technology Key Responsibilities: Computer Vision Development & Implementation : Design, develop, and deploy computer vision solutions for automation in manufacturing plants. Utilize tools like OpenCV, DeepStream, and cloud platforms (AWS, Azure) for building scalable and efficient systems. Team Management & Development : Lead and manage a team of up to 10 engineers, including junior and mid-level Computer Vision Engineers. Recruit, mentor, and train team members and interns in coding and development best practices. Conduct Performance Management System (PMS) reviews for team growth and productivity. Data Management & Quality Control : Oversee data collection, annotation, and validation processes for computer vision projects. Ensure high-quality datasets and proper administration of data pipelines. Cross-Functional Collaboration : Work closely with sales and management teams to understand project requirements and deliver innovative solutions. Communicate technical concepts effectively to stakeholders. Coding & Technical Leadership : Actively contribute to coding tasks and troubleshoot complex issues. Ensure the team maintains strong coding standards and practices. Deployment & Operations : Manage plant-level deployments of computer vision systems, ensuring seamless integration and performance. Handle entire projects independently from start to finish while ensuring timely delivery and quality. Ability to handle simultaneous projects single-handedly, maintaining efficiency and high standards. Support dynamic startup environments with flexible timing and multitasking abilities. Key Skills Required: Strong coding proficiency in Python, OpenCV, and cloud engineering platforms (AWS, Azure). Experience with DeepStream and real-time computer vision applications. Data management, data administration, and quality assurance expertise. Proven ability to lead and mentor teams in a fast-paced, dynamic environment. Hands-on experience in plant deployments and troubleshooting in manufacturing setups. Effective multitasking and adaptability to startup culture. Strong problem-solving and creative thinking skills. Preferred Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. Experience in automation and manufacturing industries. Ability to recruit and build technical teams aligned with organizational goals. Familiarity with performance evaluation and team management tools. Show more Show less

Job Title: AI Lead Engineer Location: Vapi, Gujarat Experience Required: 5+ Years Working Days: 6 Days a Week (Monday–Saturday) Industry Exposure: Manufacturing, Retail, Finance, Healthcare, life sciences or related field. Job Description: We are seeking a highly skilled and hands-on AI Lead to join our team in Vapi . The ideal candidate will have a proven track record of developing and deploying machine learning systems in real-world environments, along with the ability to lead AI projects from concept to production. You will work closely with business and technical stakeholders to drive innovation, optimize operations, and implement intelligent automation solutions. Key Responsibilities: Lead the design, development, and deployment of AI/ML models for business-critical applications. Build and implement computer vision systems (e.g., defect detection, image recognition) using frameworks like OpenCV and YOLO. Develop predictive analytics models (e.g., predictive maintenance, forecasting) using time series and machine learning algorithms such as XGBoost. Build and deploy recommendation engines and optimization models to improve operational efficiency. Establish and maintain robust MLOps pipelines using tools such as MLflow, Docker, and Jenkins. Collaborate with stakeholders across business and IT to define KPIs and deliver AI solutions aligned with organizational objectives. Integrate AI models into existing ERP or production systems using REST APIs and microservices. Mentor and guide a team of junior ML engineers and data scientists. Required Skills & Technologies: Programming Languages: Python (advanced), SQL, Bash, Java (basic) ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost DevOps & MLOps Tools: Docker, FastAPI, MLflow, Jenkins, Git Data Engineering & Visualization: Pandas, Spark, Airflow, Tableau Cloud Platforms: AWS (S3, EC2, SageMaker – basic) Specializations: Computer Vision (YOLOv8, OpenCV), NLP (spaCy, Transformers), Time Series Analysis Deployment: ONNX, REST APIs, ERP System Integration Qualifications: B.Tech / M.Tech / M.Sc in Computer Science, Data Science, or related field. 6+ years of experience in AI/ML with a strong focus on product-ready deployments. Demonstrated experience leading AI/ML teams or projects. Strong problem-solving skills and the ability to communicate effectively with cross-functional teams. Domain experience in manufacturing, retail, or healthcare preferred. What We Offer: A leadership role in an innovation-driven team Exposure to end-to-end AI product development in a dynamic industry environment Opportunities to lead, innovate, and mentor Competitive salary and benefits package 6-day work culture supporting growth and accountability This is a startup environment but with good reputable company, We are looking for someone who can work Monday to Saturday and who can lead a team and generate new solutions and ideas and lead / manage the project effectively-- Please fill this given below form before applying https://forms.gle/8b3gdxzvc2JwnYfZ6 Show more Show less

Job Title: AI Lead Engineer Location: Vapi, Gujarat Experience Required: 5+ Years Working Days: 6 Days a Week (Monday–Saturday) Industry Exposure: Manufacturing, Retail, Finance, Healthcare, life sciences or related field. Job Description: We are seeking a highly skilled and hands-on AI Lead to join our team in Vapi . The ideal candidate will have a proven track record of developing and deploying machine learning systems in real-world environments, along with the ability to lead AI projects from concept to production. You will work closely with business and technical stakeholders to drive innovation, optimize operations, and implement intelligent automation solutions. Key Responsibilities: Lead the design, development, and deployment of AI/ML models for business-critical applications. Build and implement computer vision systems (e.g., defect detection, image recognition) using frameworks like OpenCV and YOLO. Develop predictive analytics models (e.g., predictive maintenance, forecasting) using time series and machine learning algorithms such as XGBoost. Build and deploy recommendation engines and optimization models to improve operational efficiency. Establish and maintain robust MLOps pipelines using tools such as MLflow, Docker, and Jenkins. Collaborate with stakeholders across business and IT to define KPIs and deliver AI solutions aligned with organizational objectives. Integrate AI models into existing ERP or production systems using REST APIs and microservices. Mentor and guide a team of junior ML engineers and data scientists. Required Skills & Technologies: Programming Languages: Python (advanced), SQL, Bash, Java (basic) ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost DevOps & MLOps Tools: Docker, FastAPI, MLflow, Jenkins, Git Data Engineering & Visualization: Pandas, Spark, Airflow, Tableau Cloud Platforms: AWS (S3, EC2, SageMaker – basic) Specializations: Computer Vision (YOLOv8, OpenCV), NLP (spaCy, Transformers), Time Series Analysis Deployment: ONNX, REST APIs, ERP System Integration Qualifications: B.Tech / M.Tech / M.Sc in Computer Science, Data Science, or related field. 6+ years of experience in AI/ML with a strong focus on product-ready deployments. Demonstrated experience leading AI/ML teams or projects. Strong problem-solving skills and the ability to communicate effectively with cross-functional teams. Domain experience in manufacturing, retail, or healthcare preferred. What We Offer: A leadership role in an innovation-driven team Exposure to end-to-end AI product development in a dynamic industry environment Opportunities to lead, innovate, and mentor Competitive salary and benefits package 6-day work culture supporting growth and accountability This is a startup environment but with good reputable company, We are looking for someone who can work Monday to Saturday and who can lead a team and generate new solutions and ideas and lead / manage the project effectively-- Please fill this given below form before applying https://forms.gle/8b3gdxzvc2JwnYfZ6 Show more Show less

Job Title: Machine Learning Engineer (Gen AI and AI ML) Job Summary Primary Skills: Master's degree from Computer science, Mathematics, Statistics and other relative disciplines Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … Excellent written and verbal communication skills for coordinating across teams. Experience in code management using Git Secondary Skills Experience in Ecommerce or Advertising verticals is a plus Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … Experience on parallel computing and GPU acceleration is a plus Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Responsibilities Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Transforming data science prototypes and applying appropriate algorithms and tools. Develop custom ML and non-ML models and algorithms to apply to data sets. Define the evaluation approach of models. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Keeping abreast of developments in corresponding domains. Skills: r,sklearn,nltk,torch,llm,microsoft azure,aws,scipy,git,opencv,machine learning techniques,machine learning,google cloud,xgboost,spacy,nlp,tensorflow,python,code management,gen ai,time series forecasting,computer vision Show more Show less

Senior AI Engineer: Remote About Us We are an innovative, rapidly growing startup dedicated to harnessing the transformative power of Data Science and Artificial Intelligence (AI) . Our cutting-edge solutions are shaping critical advancements in Healthcare, Life Sciences, Industry 4.0 and Defense sectors , enabling our clients to solve complex, mission-critical challenges through sophisticated analytics and intelligent systems. We seek a highly skilled, visionary AI Engineer who is passionate about pushing boundaries, deeply technical, and eager to contribute to meaningful advancements across essential industries. Position Overview As our Senior AI Engineer , you will lead and execute complex projects leveraging state-of-the-art AI methodologies. You’ll design, develop, and implement robust AI-driven solutions, tackling impactful problems across Healthcare, Life Sciences, and Defense. Your advanced technical expertise and innovative thinking will significantly influence our product roadmap and technical strategy. Preference will be given to candidates holding a Ph.D. in AI, Machine Learning, Data Science, or a closely related field. Key Responsibilities · AI Model Development: Design, build, and optimize advanced machine learning, deep learning, and AI models tailored specifically for complex use-cases in Healthcare, Life Sciences, and Defense. · Research & Innovation: Engage in cutting-edge research to continuously enhance our methodologies, maintain our competitive edge, and drive innovative approaches within our solution offerings. · Algorithmic Implementation: Develop scalable algorithms and robust software systems integrating AI and machine learning solutions effectively into production environments. · Data Analysis & Insights: Collaborate closely with interdisciplinary teams to analyze large-scale datasets, providing actionable insights and driving the delivery of AI-enabled features. · Technical Leadership: Serve as a technical expert, mentoring junior engineers, guiding best practices in AI development, and influencing technical decisions company-wide. · Collaboration & Communication: Clearly articulate technical methodologies and results to internal stakeholders, clients, and partners, supporting transparency, trust, and confidence in our AI-driven solutions. Qualifications & Experience · Educational Background: o Master's degree required in Computer Science, Data Science, AI, Machine Learning, or related field. o Ph.D. strongly preferred in relevant fields, demonstrating deep theoretical understanding and practical expertise in AI/ML. · Professional Experience: o Minimum 4-7 years of relevant experience in designing, developing, and deploying AI/ML systems, preferably within Healthcare, Life Sciences, or Defense contexts. o Proven track record of successfully delivering complex AI projects, with demonstrated contributions to impactful outcomes. · Technical Skills: o Extensive experience with advanced machine learning techniques, neural networks, deep learning architectures, NLP, computer vision, and reinforcement learning. o Proficiency in Python and AI/ML libraries and frameworks (TensorFlow, PyTorch, Scikit-Learn, OpenCV, Hugging Face Transformers, etc.). o Solid understanding of cloud environments (AWS, Azure, GCP) and deploying production-level AI models. o 4-5 years of Experience of developing AI solutions on AWS/ Azure/ GCP/ Nvidia/ Snowflake/ Databricks platforms. · Research Aptitude: o Experience conducting independent research, publishing peer-reviewed papers, or contributing to industry-leading conferences is a significant advantage. · Personal Attributes: o Strong analytical, problem-solving, and critical thinking skills. o Highly collaborative with excellent communication and interpersonal skills. o Ability to thrive in a fast-paced, agile, and innovative startup environment. Why Join Our Team? · Work on groundbreaking AI solutions with direct and meaningful impact across Healthcare, Life Sciences, Industry 4.0 and Defense. · Collaborate with an exceptional team of engineers, researchers, and industry experts. · Attractive compensation package including competitive salary, equity options, and comprehensive benefits. Show more Show less

Key Responsibilities: Develop and Train AI Models: Design, build, and train machine learning models, including GANs, VAEs, and other generative models. Develop and fine-tune models for NLP, computer vision, audio generation, and other AI tasks. Data Preparation: Collect, clean, and preprocess data to ensure it is suitable for training AI models. Implement datam augmentation techniques to enhance the quality and diversity of the training dataset. Algorithm Development: Develop and implement algorithms for optimizing AI models. Research and experiment with different architectures and methods to improve model performance. Integration and Deployment: Integrate AI models into production systems and applications. Deploy models to cloud platforms or edge devices as required. Performance Evaluation: Evaluate the performance of AI models using appropriate metrics. Analyze results and iterate on model improvements to achieve desired outcomes. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand project requirements and deliver high-quality solutions. Documentation and Reporting: Document the development process, including data sources, model architecture, algorithms, and evaluation metrics. Prepare and present reports on model performance and project progress to stakeholders. Ethical AI Practices: Ensure that AI models adhere to ethical standards and guidelines, minimizing bias and promoting fairness. Implement content moderation and safeguard measures to prevent the generation of harmful or inappropriate content. Continuous Learning and Improvement: Stay updated with the latest advancements in AI and machine learning. Attend conferences, read research papers, and participate in professional development activities to continuously enhance skills and knowledge. Problem-Solving and Innovation: Identify and solve complex problems using innovative AI solutions. Propose and implement creative ideas to leverage generative AI for various applications and industries. Testing and Validation: Conduct rigorous testing and validation of AI models to ensure accuracy, reliability, and scalability. Implement A/B testing and other validation techniques to assess the real-world performance of AI solutions. Feedback Incorporation: Collect and analyze feedback from users and stakeholders to improve AI models and applications. Iterate on model development based on user needs and project requirements. Technical Skills: o Proficiency in programming languages such as Python, R, and Java. o Strong knowledge of machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn. o Experience with NLP tools and libraries such as NLTK, spaCy, and Gensim. o Familiarity with computer vision libraries like OpenCV. o Understanding of big data technologies, including Hadoop and Spark. o Knowledge of AI generative models, including GANs and VAEs. Mathematics and Statistics: o Strong foundation in linear algebra, calculus, and probability & statistics. Unlocking Combined Intelligence to expand human potential Soft Skills: o Excellent problem-solving and critical thinking skills. o Strong communication skills for explaining complex technical concepts to non-technical stakeholders. o Ability to work effectively in a team and collaborate with cross-functional teams. o Commitment to continuous learning and staying updated with industry advancements. o Creativity and innovation in developing AI solutions. Domain Knowledge: o Understanding of the Financial Services industry and its specific challenges. o Awareness of ethical considerations in AI development. Overall and Relevant Experience 4-8 years overall IT with 2-3 years of relevant experience in the field of AI/Gen AI Bachelor’s in computer science, Engineering, Statistics, Math’s or related quantitative degree About the Company: Dailoqa is an international, AI-native company focused on solving business problems for clients in the Financial Services sector by combining assets and strong technical and functional skills. We help our clients in their future as an AI-native organisation by providing roadmap for unlocking value by Combined Intelligence in partnership between humans and agents in integrating new technology into complex and legacy IT architectures. Why Join Us: Innovative Environment: Work on cutting-edge AI technologies and innovative projects. International Exposure : To work with international clients/team Collaborative Culture: Be part of a passionate and supportive team. Professional Growth: Opportunities for continuous learning and development. Impactful Work: Contribute to meaningful projects that drive innovation and make a difference. If you are excited about the prospect of working in a dynamic and forward-thinking company, we would love to hear from you! How to Apply: Interested candidates are invited to share their resumes on our Email id - ankita@manasamitr.com Show more Show less

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. Job Description Mandatory Skill: Gen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred Skill: AWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success. 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.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. About Lilly: At Lilly, we unite caring with discovery to make life better for people worldwide. We are one of the Top 10 most valued companies of the world, and global healthcare leader headquartered in Indianapolis, Indiana. Our 44,000 employees work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the globe. We have pioneered the development of several significant drugs and treatments over the years – and strong pipeline including being the first to mass produce insulin, penicillin, tuberculosis (MDR-TB) and polio vaccines . At Lilly, our research and product-oriented mindset and focus on Accelerate, Reach and Scale using new-gen technologies helps us redefine what is possible through technology in pharma. Impact driven growth combined with a commitment to make a real difference in lives makes Lilly the place of choice for the best talent to come together and be at the forefront of innovation and acceleration . Join us to make significant difference in the well-being of people worldwide. Job Title: Data Science Job Level: Principal Scientist I/II - Data - Advanced Analytics - LCCI Experience Level: 7 to 10 Years Qualification and Eligibility criteria: B.Tech./Masters/PhD. in Computer Vision related field Location : India – Bengaluru Purpose of the Role: The Data Scientist collaborates directly with business stakeholders to design and deploy state-of-the-art machine learning, deep learning, optimisation, and computer vision algorithms. These solutions address complex challenges across diverse domains, including manufacturing vision-based inspections, medical imaging, robotics vision, and finance. This role requires a proactive approach to developing and deploying algorithms in suitable environments to achieve impactful results. Key Responsibilities: 1. Apply traditional and advanced computer vision algorithms to solve complex challenges. 2. Handle imbalanced, noisy, and high-dimensional datasets, ensuring robust and scalable outcomes. 3. Partner with cross-functional teams to solve problems in manufacturing, medical imaging, robotics vision, finance, etc. 4. Configure and integrate imaging systems, including cameras and sensors, for diverse operational settings such as labs, manufacturing floors, and robotics systems. 5. Build and optimize models for various scenarios, including real-time inference, batch processing, and edge computing. 6. Lead the end-to-end lifecycle of model development, deployment, and performance monitoring across different environments, including labs, manufacturing floors, and edge devices. 7. Leverage machine learning, optimisation, and deep learning techniques to enhance manufacturing line capacity and reduce downtime. 8. Utilize CI/CD workflows, version control systems (e.g., Git), and Docker to ensure reproducible and efficient research processes. 9. Leverage expertise in image annotation tools and image registration methods for domain-specific challenges. 10. Mentor team members and foster collaboration within cross-functional teams to drive innovation and solve technical problems Essential Tech knowledge: Core Software Development and Programming 1. Advanced proficiency in Python; experience with C++ is a plus. Familiarity with scalable software development practices and integration of hardware systems into software solutions. Core Computer Vision Expertise 2. Proficiency in traditional algorithms (e.g., edge detection, feature extraction) and modern deep learning approaches (e.g., CNNs, object detection, and segmentation). 3. Experience with image processing libraries such as OpenCV, PIL, and scikit-image. 4. Knowledge of 3D point cloud processing, essential for LiDAR and object reconstruction tasks. Deep Learning and Machine Learning 5. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras. 6. Expertise in vision-based architectures like LeNet, ResNet, YOLO, UNet, EfficientNet, and SAM. 7. Familiarity with optimisation techniques, including model quantisation, pruning, and deploying real-time inference on edge devices. Data Acquisition and Image Handling 8. Knowledge of various imaging modalities (RGB, thermal, histology, and microscopic) acquired from domains like manufacturing, medical imaging, finance, and robotics. 9. Familiarity with specialised medical imaging libraries (e.g., MONAI, ITK/Simple ITK) is preferred. Toolsets and Domain-Specific Knowledge 10. Experience with image annotation tools and image registration methods. Familiarity with tools for edge deployments (e.g., NVIDIA Jetson). Essential Behavioural Skills: 1. Strong communication, leadership, and critical thinking abilities, coupled with effective decision-making skills. 2. Exceptional interpersonal skills, with a talent for building professional networks and collaborating within globally distributed teams. 3. A commitment to continuous learning, shared knowledge, and the adoption of industry best practices. 4. Excellent self-management and adaptability to thrive in ambiguous situations. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Job description Data Science SME Location Lower Parel, Mumbai (Onsite) Job Requirements: • 6 to 7 years of experience manipulating data sets and building statistical and machine learning models. • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) • Experience Developing Machine Learning / Data Science models, from coding to deployment • 2+ years of experience in teaching or training. • 3+ Years of Hands-on Hybrid Development experience preferred. Skills • Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) • Project Management background preferred. • Knowledge of the Consulting/Sales structure. • Empathy and service attitude • Fast-paced • Project Management experience • Desirable previous international experience (US, Canada, or Europe) • Leading consultants to grow and create tangible benefits and assets. • Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position • Collecting data through means such as analyzing business results or by setting up and managing new studies • Transferring data into a new format to make it more appropriate for analysis • Build tools to automate data collection • Compare and analyze provided statistical information to identify patterns, relationships, and problems • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering • Prepare detailed reports for management and other departments by analyzing and interpreting data • Train assistants and other members of the team how to properly organize findings and read data collected • Design computer code using various languages to improve and update software and applications • Refer to previous instances and findings to determine the ideal method for gathering data • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering • Prepare detailed reports for management and other departments by analyzing and interpreting data • Train assistants and other members of the team how to properly organize findings and read data collected • Design computer code using various languages to improve and update software and applications • Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): • Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision • Python and SQL coding skills are indispensable • Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform • Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. • Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus • Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets • Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. • Ability to compile and organize statistical information retrieved and present findings to management • Faculty to work toward multiple deadlines simultaneously • Strong problem-solving skills with an emphasis on product development. • Certification in a Cloud-Based/Machine Learning service desirable Show more Show less

This vacancy is for a software developer in UAV development division. Candidate is expected to have following skills, Skills : C,C++, QT, QML, GUI, Geographic Information System(GIS), FPGA Responsibilities Design, build, and maintain efficient, reusable, and reliable C,C++ code. UAV software stack development. Identify bottlenecks and bugs, and devise solutions to problems. Help to maintain product quality, organization integrity and team coordination. Description/Requirements Strong proficiency in C++, with fair knowledge of the OOPs & STL. Proficient knowledge on communication protocols like CAN, TCP/UDP, UART, I2C etc. Experience in QGIS and MAV Link is a plus. Experience in developing GUI with tool chains such as Qt, QML etc. Hands-on experience in designing and developing scalable computer vision solutions with OpenCV, CUDA, OpenCL, NPP etc. Good understanding of memory management, thread Management, Concurrency & Parallelism programming. Familiarity with embedded systems design, low-level hardware interactions. Experience with Xilinx FPGA tool flow (Vivado) for synthesis, implementation, and bitstream generation. Familiarity with Yocto, RTOS. Good to have knowledge on Unit/integration testing. Know-how of coding standards like MISRA, C++. Familiarity with code versioning & project management tools. Show more Show less

Profile Description We’re seeking someone to join our team as Senior Machine Learning Engineer with expertise in architecture, design and development of data and ML centric applications at scale. The right candidate should have a background in data engineering and requisite experience working with Machine learning (ML) algorithms and Frameworks. The role is a confluence of Developer, ML and data analysis. WM_Technology Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team. Services Tech Services Technology is a dynamic and fast-paced area within the Firm's WM Technology Division. The charter of this department is to develop applications that covers Service to Sales which includes Contact Center, Client Onboarding, Account Opening, CRM, JAWS, Document Management, Workflows, RPA that supports FAs, CSAs, and Operations. Software Engineering This is Director position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What You’ll Do In The Role Digitizing document which can support structured and unstructured documents. Collaboratively Work with Chapter lead, product owners, scrum masters and testing team to deliver business requirements. Participate in scrum meeting, chapter meeting and fleet meeting Create highly optimized, scalable, redundant, and distributed software Deliver manageable, modular code, along with automated tests Work with geographically dispersed teams (NYC, Alpharetta, Mumbai, and Bangalore). Perform code reviews on server-side code Help release and maintain code as well as address production issues Implementing DevOps tools and practice Writing unit tests using Junit and Mockito What You’ll Bring To The Role At least 5 years’ relevant experience would generally be expected to find the skills required for this role Hand on experience in AI/ML Experience in Python/Java. Experience in OCR technologies. Experience/exposure to LLM and Open Deep Convolutional Neural network Machine learning libraries: TensorFlow, Keras, PyTorch, Hugging Face, PySpark, OpenCV, Scikit-learn, NumPy, Matplotlib, Seaborn, Pandas, SciPy, NLP Libraries such as NLTK, SpaCy, HF Transformers, LightGBM, XGBoost ML Ops Tools: TensorFlow Extended (TFX), PyTorch Serve, MLflow, Kubeflow, Docker, Kubernetes, Apache Airflow, DVC Jupyter Notebooks and VS code Familiarity in OCR technologies Must have experience in Agile and DevOps practices. Strong communication, organizational, and collaboration skills. Demonstrates exceptional analytical and problem-solving skills. Development experience building high volume systems. Experience in working on large and medium scale projects in agile environment. Experience with task management tools such as JIRA. Competency with source control (preferably Git) and Continuous Integration tools such as Jenkins or TeamCity. Good understanding on cloud What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) 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 followingTableau, 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 followingNatural 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.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world About The Role Understanding of Generative AI (LLMs, diffusion models, transformers, NLP, multimodal AI, etc.). Knowledge of Agentic AI principles, including autonomous agents, reinforcement learning, prompt engineering, and AI-driven decision-making. Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, OpenAI APIs, Hugging Face, etc. Understanding of AI infrastructure (cloud platforms like AWS, Azure, GCP) and MLOps best practices. Primary Skills Generative AI NLP Machine Learning Secondary Skills Python PySpark R

Youll make a difference by: We are seeking a highly skilled and motivated AI/ML Engineer having experience in the field of artificial intelligence and machine learning. The ideal candidate should have expertise in developing and implementing AI/ML algorithms, a strong background in computer vision, hands-on experience with open-source Generative AI models, and a solid foundation in mathematical and statistical principles. As part of our dynamic AI team, you will work on designing, building, and optimizing AI systems with a focus on innovative solutions. Key Responsibilities: Developing and implementing AI-based solutions to enhance the efficiency, effectiveness, and speed of our R&D processes. Continuously monitoring and evaluating implemented AI solutions to ensure their performance and continuous improvement. Promoting knowledge exchange and competency development in the field of AI within the company Develop POC's to solve real-world problems in various domains such as text summarization, chatbots, language translation, image generation, data augmentation, and content synthesis, preferably with locally hosted models, open-source tools and frameworks. AI Model Optimization: Focus on optimizing AI models for performance, efficiency, and scalability, ensuring that they run effectively in offline environments without the need for cloud-based solutions. Computer Vision Applications: Work on AI-driven computer vision projects, including but not limited to image classification, object detection, segmentation, and image enhancement. Implement innovative computer vision algorithms for solving practical problems. AI & ML Algorithms: Leverage machine learning (ML) techniques to improve and fine-tune generative AI models and computer vision systems. Familiarity with both supervised and unsupervised learning techniques is essential. Research and Development: Stay up to date with the latest advancements in Generative AI, Computer Vision, and related fields. Experiment with new techniques and frameworks to continually improve the quality and capabilities of our solutions. Collaboration: Work closely with data scientists, software engineers, and product teams to deliver high-quality AI-based products. Contribute to the teams technical discussions and knowledge sharing. Model Deployment & Maintenance: Work on deploying and maintaining AI models, ensuring reliability and performance. Set up and manage model training and inference pipelines. Qualifications: Education: bachelors or masters degree in computer science, mathematics, or a comparable field with a focus on artificial intelligence Experience: Minimum of 3 to 4 years of hands-on experience in AI/ML development or data science, with a strong focus on Generative AI and Computer Vision. Experience working with open-source, locally hosted models is highly preferred. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or openVINO. Experience with GenAI or Large Language Models or NLP for training, fine-tuning, and evaluating LLMs Experience in computer vision algorithms and frameworks (e.g., OpenCV, Detectron2, YOLO). Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning). Familiarity with deploying AI models in offline environments and working with locally hosted models. Strong mathematical/statistical skills and the ability to clearly understand, define and communicate complex concepts in this area. Programming Skills: Advanced proficiency in Python and relevant AI/ML libraries (NumPy, SciPy, scikit-learn). Familiarity with version control tools (e.g., Git). Experience with C++ along with Docker, Kubernetes, or other containerization technologies is a plus. Problem Solving: Strong analytical and problem-solving skills with the ability to tackle complex and unstructured problems in AI and computer vision. Communication Skills: Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Nice-to-Have: Familiarity with AI hardware accelerators (e.g., GPUs, TPUs) and distributed computing. Knowledge of AI ethics and privacy considerations, especially in the context of offline AI. Desired Skills: 2-5 years of experience is required. Great Communication skills. Analytical and problem-solving skills

Key Responsibilities: The key responsibilities include owning the design, development, and optimization of sophisticated systems in C/C++ for image and signal processing. The role involves developing and implementing algorithms with a strong focus on performance, scalability, and efficiency. Additionally, the position requires leveraging machine learning techniques, particularly Convolutional Neural Networks (CNNs), for sophisticated image processing, computer vision, and related tasks. The candidate will take ownership of end-to-end software development, leading technical problem-solving efforts. A key aspect of the role is providing technical mentorship and guidance to junior engineers and peers within the team. Finally, the position involves working in an Agile environment, contributing to sprint planning, reviews, and retrospectives. Job Requirements: Technical Skills (Must have): Strong programming knowledge in C/C++. Good image/signal processing knowledge with experience in using OpenCV/Matlab. B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Excellent algorithm and good data-structure design skills with theoretical background in analysis of algorithms. Technical Skills (Desirable): Experience in parallel and distributed computing, with working knowledge of tools such as Sun Grid Engine, LSF, etc. Familiarity with configuration management tools such as CVS. Familiarity with Scrum, experience with defect tracking tools such as ClearQuest, JIRA. Communication Proficiency in English with strong interpersonal and excellent oral and written communication skills. Ability to collaborate as part of globally distributed team. Also, Self-motivated and able to work independently. We thrive on building a multi-functional team environment, and we look for individuals who are eager to contribute and grow with us!

Why Join Us? Do you like to challenge yourself and find innovative solutions to problems, translating them into efficient code? Do you always enjoy learning new things? Are you ready to work on the next-generation synthesis solution technology? If the answer is yes, then come work with us! We dont need superheroes, just super minds. Key Responsibilities: The key responsibilities include owning the design, development, and optimization of sophisticated systems in C/C++ for image and signal processing. The role involves developing and implementing algorithms with a strong focus on performance, scalability, and efficiency. Additionally, the position requires leveraging machine learning techniques, particularly Convolutional Neural Networks (CNNs), for sophisticated image processing, computer vision, and related tasks. The candidate will take ownership of end-to-end software development, leading technical problem-solving efforts. A key aspect of the role is providing technical mentorship and guidance to junior engineers and peers within the team. Finally, the position involves working in an Agile environment, contributing to sprint planning, reviews, and retrospectives. Job Requirements: Technical Skills (Must have): Strong programming knowledge in C/C++. Good image/signal processing knowledge with experience in using OpenCV/Matlab. B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Excellent algorithm and good data-structure design skills with theoretical background in analysis of algorithms. Technical Skills (Desirable): Experience in parallel and distributed computing, with working knowledge of tools such as Sun Grid Engine, LSF, etc. Familiarity with configuration management tools such as CVS. Familiarity with Scrum, experience with defect tracking tools such as ClearQuest, JIRA. Communication Proficiency in English with strong interpersonal and excellent oral and written communication skills. Ability to collaborate as part of globally distributed team. Also, Self-motivated and able to work independently. We thrive on building a multi-functional team environment, and we look for individuals who are eager to contribute and grow with us!

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly sophisticated world of chip, board, and system design. Key Responsibilities: The key responsibilities include leading the design, development, and optimization of complex systems in C/C++ for image and signal processing. The role involves developing and implementing algorithms with a strong focus on performance, scalability, and efficiency. Additionally, the position requires leveraging machine learning techniques, particularly Convolutional Neural Networks (CNNs), for sophisticated image processing, computer vision, and related tasks. The candidate will take ownership of end-to-end software development, leading technical problem-solving efforts. A key aspect of the role is providing technical mentorship and guidance to junior engineers and peers within the team. Finally, the position involves working in an Agile environment, contributing to sprint planning, reviews, and retrospectives. Job Requirements: Technical Skills (Must Have): We require strong programming expertise in C/C++ , ensuring that you have the foundation to develop high-performance applications. A proven understanding of image/signal processing and hands-on experience with tools like OpenCV and Matlab is meaningful to help us deliver cutting-edge solutions. We seek individuals with excellent algorithm design and a proven grasp of data structures , backed by a strong theoretical background in algorithm analysis. This will empower us to tackle sophisticated problems efficiently and optimally! Technical Skills (Desirable): Experience with parallel and distributed computing is a definite plus! Familiarity with tools like Sun Grid Engine and LSF will allow you to chip in to our high-performance computing solutions. Wed love it if youre comfortable using configuration management tools like CVS , ensuring our codebase is always in top shape. Experience with Scrum methodology and defect tracking tools like Clear-Quest and JIRA will set you up for success as we strive to continuously improve our development processes. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. #li-eda #LI-HYBRID #Calibre

Looking for challenging role?If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time? At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the worlds energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you? We are seeking a highly skilled and driven Senior AI Engineer to join our team as a founding member, developing the critical data and AI infrastructure for training foundation models for power grid applications. You will be instrumental in building and optimizing the end-to-end systems, data pipelines, and training processes that will power our AI research. Working closely with research scientists, you will translate cutting-edge research into robust, scalable, and efficient implementations, enabling the rapid development and deployment of transformational AI solutions. This role requires deep hands-on expertise in distributed training, data engineering, MLOps, a proven track record of building scalable AI infrastructure. Your new role- challenging and future- oriented Design, build, and rigorously optimize everything necessary for large-scale training, fine-tuning and/or inference with different model architectures. Includes the complete stack from dataloading to distributed training to inference; to maximize the MFU (Model Flop Utilization) on the compute cluster. Collaborate closely and proactively with research scientists, translating research models and algorithms into high-performance, production-ready code and infrastructure. Ability to implement, integrate & test latest advancements from research publications or open-source code. Relentlessly profile and resolve training performance bottlenecks, optimizing every layer of the training stack from data loading to model inference for speed and efficiency. Contribute to technology evaluations and selection of hardware, software, and cloud services that will define our AI infrastructure platform. Experience with MLOps frameworks (MLFlow, WnB, etc) to implement best practices across the model lifecycle- development, training, validation, and monitoring- ensuring reproducibility, reliability, and continuous improvement. Create thorough documentation for infrastructure, data pipelines, and training procedures, ensuring maintainability and knowledge transfer within the growing AI lab. Stay at the forefront of advancements in large-scale training strategies and data engineering and proactively driving improvements and innovation in our workflows and infrastructure. High-agency individual demonstrating initiative, problem-solving, and a commitment to delivering robust and scalable solutions for rapid prototyping and turnaround. We dont need superheroes, just super minds Bachelor's or masters degree in computer science, Engineering, or a related technical field. 5+ years of hands-on experience in a role specifically building and optimizing infrastructure for large-scale machine learning systems Deep practical expertise with AI frameworks (PyTorch, Jax, Pytorch Lightning, etc). Hands-on experience with large-scale multi-node GPU training, and other optimization strategies for developing large foundation models, across various model architectures. Ability to scale solutions involving large datasets and complex models on distributed compute infrastructure. Excellent problem-solving, debugging, and performance optimization skills, with a data-driven approach to identifying and resolving technical challenges. Strong communication and teamwork skills, with a collaborative approach to working with research scientists and other engineers. Experience with MLOps best practices for model tracking, evaluation and deployment. Desired skills Public GitHub profile demonstrating a track record of open-source contributions to relevant projects in data engineering or deep learning infrastructure is a BIG PLUS. Experience with performance monitoring and profiling tools for distributed training and data pipelines. Experience writing CUDA/Triton/CUTLASS kernels.

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! About The Role Role SME- IVA Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company ?If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

Summary We are seeking a highly skilled and motivated Computer Vision Engineer with strong expertise in Python, image processing, and algorithm design. The ideal candidate should be adept at developing fault-tolerant systems and optimizing data pipelines. This role requires an innovative thinker who thrives in a startup environment and is passionate about building scalable and efficient solutions. Skills Required Strong experience in Python and writing fault-tolerant code Extensive expertise in Image Processing, OpenCV, SciPy, and NumPy Good understanding of optimizing data processing pipelines Command over geometry, statistics, and designing complex algorithms Ability to work and thrive in a startup environment, learn rapidly, and master diverse web technologies and techniques Roles and Responsibilities Leverage open-source code and libraries to quickly experiment and build novel solutions Independently think of solutions to complex requirements; possess exceptional logical skills Analyze current products in development, including performance, diagnosis, and troubleshooting Work with the existing framework and help evolve it by building reusable code and libraries Search for and introduce new software-related technologies, processes, and tools to the team Brownie Points Knowledge of Keras, TensorFlow, PyTorch, Ludwig, TensorRT Experience with Nvidia DeepStream Knowledge of NLP and NLU (NLTK, SpaCy, Flair, etc.) Understanding of Docker, Kubernetes, and Git Familiarity with JavaScript What We Have to Offer Work with a performance-oriented team driven by ownership and open to experimenting with cutting-edge technologies Learn to design systems for high accuracy, efficiency, and scalability Meritocracy-driven, candid startup culture

Responsibilities : Test development, integration, debugging and maintenance of a C++ based video subsystem. Maintaining the C++ based middleware stack. Debugging the video subsystem and ability to run the tests on the ECU architecture. Ownership of the end-to-end technology stack and drivers. Alignment of requirements, changes and roadmap with the internal stakeholders. Must have Experience: Expertise in developing automotive/EE tests in C++. Additional experience in Python is an added value. Experience in computer vision, image processing or video codec H.264/H.265. Hands-on experience with video coding, OpenCV or OpenGL (or similar technologies). QNX/POSIX environment to analyze processes on SOC. Experience with Boardnet technologies such as Ethernet, SomeIP and CAN. Experience with automotive Diagnostic Log and Trace (DLT) and Automotive Diagnosis. Experience in the ADAS domain preferred. Experience in developing AWS infrastructure is an added advantage. Ability to work independently and take corresponding decisions. Role & responsibilities