1140 Computer Vision Jobs - Page 28

Technical Skills & Experience: Programming Skills: Proficiency in Python, capable of developing AI-driven test scripts. Test Automation: Solid experience in test automation practices. Model Evaluation: Hands-on experience evaluating and testing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and computer vision models. Evaluation Frameworks: Skilled in designing evaluation frameworks to assess AI model performance, accuracy, bias, and safety. Familiarity with open-source evaluation tools such as DeepEval and similar frameworks. Prompt Engineering & Metrics: Knowledge of prompt engineering and LLM evaluation metrics like perplexity, BLEU, ROUGE, and human evaluation techniques. RAG System Testing: Experience in testing RAG systems, including retrieval quality assessment and hallucination detection. Computer Vision Testing: Familiarity with vision model testing methodologies and image processing evaluation. CI/CD Integration: Working knowledge of Continuous Integration/Continuous Deployment (CI/CD) tools like GitLab, Jenkins, or Azure DevOps. Preferred Qualifications Evaluation Framework Proficiency: Hands-on experience with at least one open-source AI evaluation framework, such as DeepEval, is essential. Vector Databases & Embedding Evaluation: Familiarity with vector databases like FAISS or Milvus, and experience in evaluating embedding models for tasks such as similarity search and retrieval. Multimodal AI Systems: Understanding of AI systems that process multiple data modalities (e.g., text, images) and the unique challenges involved in their evaluation. Human-in-the-Loop Evaluation: Experience incorporating human feedback into AI evaluation processes to enhance model performance and reliability Perks and benefits Best of Technology Flexible Working Hours Rewards and Recognition Medical Insurance Round the Clock Snacks Paid Time-Off and Vacation

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking an experienced 3+ years of IT experience ( 2 Years in AI/ML/DS Domain). Gen AI Development : Data collection and preparation: Collect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data. Model development: Design and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters. Model evaluation: Evaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text. Model deployment: Deploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Your Profile Roles and Responsibility: LLM Development/Deployment Pipeline creation, workflows Study and transform Gen AI PoCs to production grade deployment Design machine learning systems, Run machine learning tests and experiments Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Job Expectations The candidate will be responsible for leading a team of data scientists who provide analytics services for Applied Materials installed base. The deliverables include developing new service capabilities, piloting them, and commercializing them in partnership with Engineering and Service Product Managers. The team will work with field engineers and product engineering teams to understand the requirements, bring forward creative ideas, develop proofs-of-concept, architect, design, develop, and modify algorithms into production code, provide production support, and train end-users. The skill sets in the team include descriptive statistical analysis, predictive statistical analysis using AI/ML, data visualization and analytics process automation, data cleansing, complex image processing, and text processing. Candidate should be willing to learn and adopt semiconductor industry as their career domain. Key Responsibilities Responsible for managing completion of assignments, projects and programs to support Applieds service business. Scope of algorithm development includes research, design, code development, implementation, and proliferation. Execute projects as needed to support the business. Review and monitor progress to milestones on development programs. Develop roadmaps for algorithmic development programs. Oversee algorithmic concept and feasibility for algorithmic modules, including problem statement definition, data gathering, literature review, concept selection, risks, and implementation constraints. Oversee documentation of algorithmic development and deployment, including integration into required systems, user testing, and user training. Oversee software and hardware implementation. Interact with internal and external customers to define gaps, identify opportunities, define program scope and deliverables, and proliferate solutions to the user base. Present to management for project reviews, interact with project stakeholders, run regular cadence meetings and work in alignment with team and organization goals. Responsible for technical development of team, objective setting, and performance management. Develop growth plan for the team, including identification of new areas of impact. Preferred programming and data science skills includePython, C++, Unix, Image Processing, Deep Learning, AI/ML, NLP, GenAI, Text Mining, Database Design and Management, Web Scraping, GPU Optimization. Proficient in business processes and software such as Microsoft Word/ Excel/ Powerpoint/ Teams, Atlassian JIRA and Confluence. Highly organized and detail-oriented. Ability to build and maintain positive and productive inter-departmental working relationships. Ability to work in a cross-functional organization and multitask on multiple projects. Drive team members to deliver programs on time and on budget. Excellent oral and written communication, organizational, analytical, and interpersonal skills. Interest in building a career in the semiconductor industry. Functional Knowledge Demonstrates comprehensive understanding of concepts and principles within own job family and knowledge of other related job families. Business Expertise Applies in-depth understanding of how own discipline integrates within the segment/function. Leadership Manages multiple related teams, sets organizational priorities and allocates resources. Problem Solving Identifies and resolves complex technical, operational and organizational problems. Impact Impacts the business results of a team or area by supporting and funding of projects, products, services and/or technologies and developing policies and plans. Guided by business unit, department or sub-functional business plans. Interpersonal Skills Influences others internally and externally, including senior management. Position requires understanding of Applied Materials global Standards of Business Conduct and compliance with these standards at all times. This includes demonstrating the highest level of ethical conduct reflecting Applied Materials core values. Education Bachelors, Masters, or Ph.D. Degree in Computer Science, Mathematics, or Engineering with a concentration in data science or AI/ML. Experience 15 years of experience Computer Science/ Mathematics/ Engineering background with 15 years of experience in performing statistical analysis, designing and developing Image Processing/ Computer Vision Algorithms, handling and analyzing large volumes of data. Semiconductor background is an added advantage. Prior team leadership experience is required. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 20% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Senior Data Science Engineer - Computer Vision Experience: 6 - 7 Years Exp Salary : INR 25-35 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 09:00AM to 6:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Computer Vision, Deep Learning, Large scale Visual Datasets, MLFlow or DVC, Prometheus Or Grafana Or Sentry, Pytorch, Cloud Server (Google / AWS), Python Good to have skills : CV/AI Research, Healthcare, or surveillance/IoT-based CV applications., Publications in CVPR/NeurIPS/ICCU, Stakeholder Communication, TensorRT, Work in domains such as retail analytics Radius AI (One of Uplers' Clients) is Looking for: Senior Data Science Engineer - Computer Vision who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Senior Data Science Engineer Computer Vision Job Summary We are seeking a highly skilled and forward-thinking Senior Data Science Engineer to lead the development of advanced computer vision models and systems. You will play a pivotal role in designing, training, and deploying deep learning models, with a strong focus on real-time inference and edge deployment. The ideal candidate will bring hands-on experience with state-of-the-art architectures and have a deep understanding of the complete ML lifecycle from data acquisition to deployment at scale. Key Responsibilities Lead the development and implementation of computer vision models for tasks such as object detection, tracking, image retrieval, and scene understanding. Design and execute end-to-end pipelines for data preparation, model training, evaluation, and deployment. ¢ Perform fine-tuning and transfer learning on large-scale vision-language models to meet application-specific needs. ¢ Optimize deep learning models for edge inference (NVIDIA Jetson, TensorRT, OpenVINO) and real-time performance. ¢ Develop scalable and maintainable ML pipelines using tools such as MLflow, DVC, and Kubeflow. ¢ Automate experimentation and deployment processes using CI/CD workflows. ¢ Collaborate cross-functionally with MLOps, backend, and product teams to align technical efforts with business needs. ¢ Monitor, debug, and enhance model performance in production environments. ¢ Stay up-to-date with the latest trends in CV/AI research and rapidly prototype new ideas for real-world use. Required Qualifications ¢ 67+ years of hands-on experience in data science and machine learning, with at least 4 years focused on computer vision. ¢ Strong experience with deep learning frameworks: PyTorch (preferred), TensorFlow, Hugging Face Transformers. ¢ In-depth understanding and practical experience with Class-incremental learning and lifelong learning systems ¢ Proficient in Python, including data processing libraries like NumPy, Pandas, and OpenCV. ¢ Strong command of version control and reproducibility tools (e.g., MLflow, DVC, Weights & Biases). ¢ Experience with training and optimizing models for GPU inference and edge deployment (Jetson, Coral, etc.). ¢ Familiarity with ONNX, TensorRT, and model quantization/conversion techniques. ¢ Demonstrated ability to analyze and work with large-scale visual datasets in real-time or near-real-time systems. Preferred Qualifications ¢ Experience working in fast-paced startup environments with ownership of production AI systems. ¢ Exposure to cloud platforms such as AWS (SageMaker, Lambda), GCP, or Azure for ML workflows. ¢ Experience with video analytics, real-time inference, and event-based vision systems. ¢ Familiarity with monitoring tools for ML systems (e.g., Prometheus, Grafana, Sentry). Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: RadiusAI is a pioneering computer vision analytics company revolutionizing retail operations with advanced, human-centric AI solutions. We offer the world's most advanced VisionAI checkout and we provide real-time data to improve operational efficiency across the entire retail industry, focusing on enterprise-level customers and secure edge integration About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Req ID: 284544 We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karntaka (IN-KA), India (IN). : We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Job Summary: We are looking for a passionate and skilled AI/ML Engineer to join our team, focusing on cutting edge solutions in vector search, embeddings, and semantic similarity. In this role, you will design, develop, and optimize intelligent search systems that leverage state-of-the-art machine learning and deep learning techniques. You will collaborate with cross-functional teams to build scalable and efficient solutions that transform how we retrieve and process information. Key Responsibilities: Develop and Optimize Vector Search Systems: Implement advanced vector-based search algorithms using frameworks like FAISS, Milvus, Weaviate, or Pinecone to enable high-performance retrieval systems. Design Semantic Search Solutions: Apply semantic similarity techniques to enable precise and context-aware search experiences. Research and Experimentation: Stay updated on advancements in NLP, ANN (Approximate Nearest Neighbor) search, and embedding models; experiment with new tools and techniques to improve system performance. Collaboration and Documentation: Collaborate with data scientists, backend engineers, and product teams, and document methodologies and findings effectively. Required Skills Machine Learning Expertise: Hands-on experience with ML frameworks NLP Knowledge: Strong understanding of natural language processing, embeddings, and transformer-based models (e.g., BERT, RoBERTa, GPT). Vector Search Tools: Proficiency in tools like FAISS, Milvus, Pinecone, or other ANN libraries. Search Algorithms: In-depth knowledge of similarity search techniques, including cosine similarity, dot-product scoring, and clustering methods. Programming Skills: Strong coding abilities in Python (experience with libraries like NumPy, Pandas, Scikit-learn, Hugging Face Transformers, etc.). Cloud/DevOps Knowledge: Familiarity with cloud platforms (Azure) and containerization/orchestration tools like Docker and Kubernetes. Preferred Skills Experience with hybrid search techniques combining traditional search (e.g., Elasticsearch, Solr) and vector search. Knowledge of vector quantization techniques for optimized storage and retrieval. Background in information retrieval, knowledge graphs, or recommendation systems. Key Traits: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate with offshore and onshore teams. Be a problem solver and be proactive to solve the challenges that come his/her way.

Preferred candidate profile Proficient in Java, C++, Python, or similar languages. Experience with SQL and relational databases (e.g., Oracle, Data Warehouse). Hands-on in building ML models or algorithms for real-world use. Background in ML, deep learning, NLP, computer vision, or data science. Knowledge of deep learning architecture, training optimization, and model pruning.

Role & responsibilities Architect and implement AI/ML solutions tailored to client-specific business problems using Gen AI (e.g., LLMs like GPT, Gemini, Mistral) and traditional ML models (e.g., scikit-learn, XGBoost). Collaborate with client stakeholders to understand requirements, define problem statements, and translate them into scalable AI/ML solutions. Present demos and proof-of-concepts (POCs) to clients, showcasing the value of AI/ML in real-world scenarios Mentor and guide a cross-functional team of data scientists, ML engineers, and developers Drive best practices in model development, deployment, and monitoring Stay abreast of the latest advancements in Gen AI and ML, and evaluate their applicability to client use cases Contribute to internal knowledge bases and reusable solution accelerators Preferred candidate profile Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with Gen AI platforms and LLMs (e.g., OpenAI, Gemini, LLaMA, Mistral). Proven track record of deploying ML models in production environments (cloud/on-prem). Experience with API development, data pipelines, and dashboarding tools like Streamlit. Familiarity with DevOps and MLOps practices for model lifecycle management. Excellent communication and stakeholder management skills. Tools: LLM, SLM, Vector DB, Graph DB, Airflow, MLFlow, MLOps tools, NLP, KG, ML models (Regression, Clustering, Classification etc), LangChain, LangGraph, AutoGen

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the worlds largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Why Join Sigmoid? • Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. • Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo • Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: • Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. • Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. • Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights • Contribute to internal product development initiatives related to data science. • Drive excellent project management required to deliver complex projects, including effort/time estimation. • Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy • Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects • Manage the team-members, to ensure that the project plan is being adhered to over the course of the project • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: • A B-Tech/M-Tech/MBA from a top tier Institutepreferably in a quantitativesubject • 10+ years of hands-onexperience in applied Machine Learning, AI and analytics • Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) • Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas • Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimalguidance Excellent written and verbal communication skills

About the job: Key responsibilities: 1. Design and develop advanced UAV platforms, including fixed-wing, multirotor, and hybrid systems 2. Research and select optimal components like motors, batteries, ESCs, sensors, telemetry, and communication modules 3. Create detailed 3D models and manufacturing-ready technical drawings using CAD software (SolidWorks, AutoCAD, Fusion 360) 4. Design and develop custom PCBs and integrate avionics systems for UAVs 5. Configure and fine-tune flight controllers such as ArduPilot for autonomous and semi-autonomous missions 6. Develop ground control interfaces, tracking modules, and mission software using Python/C++ and MAVLink protocols 7. Conduct flight tests, troubleshoot system issues, and iterate on prototypes based on real-time performance data 8. Ensure compatibility between hardware, electronics, and software through integrated system testing 9. Maintain high-quality documentation of system architecture, BOMs, test results, and iteration logs 10. Take initiative in solving complex R&D challenges and contribute to the complete product development cycle 11. Collaborate with our team to design and develop innovative UAV systems tailored for military applications Who can apply: Only those candidates can apply who: are Electronics Engineering students Salary: ₹ 3,00,000 - 5,00,000 /year Experience: 0 year(s) Deadline: 2025-07-10 23:59:59 Other perks: Informal dress code, Free snacks & beverages Skills required: MATLAB, OpenCV, Python, SolidWorks, Power Systems, Robotics, ANSYS, Embedded Systems, Problem Solving, Circuit Design, Computer Vision, Autodesk Fusion 360, C++ Programming, Prototyping, Design Thinking, Gazebo, Robot Operating System (ROS), CAD, Circuit Modeling & Simulation and Troubleshooting Other Requirements: 1. A recent graduate (or soon‑to‑be alumnus) in aerospace, mechanical, electronics, or computer engineering or an engineer with 1–2 years of hands‑on UAV/drone experience 2. Hands-on experience in building, flying, and debugging drones or UAV systems (DIY or professional projects) 3. Solid foundation in UAV principles: aerodynamics, propulsion systems, control theory, and flight dynamics 4. Proficiency in CAD software such as SolidWorks, AutoCAD, or Fusion 360 5. Experience with ArduPilot or PX4, including PID tuning, telemetry setup, and mission planning 6. Familiarity with embedded systems, PCB design, soldering, and integrating various flight components 7. Programming experience in Python/C++, especially for flight software, ground stations, or tracking modules 8. A passion for defence tech, willingness to learn rapidly, and comfort with a fast-paced, experimental environment 9. Excellent problem-solving skills, attention to detail, and the ability to own and deliver projects independently About Company: The company's primary objective is to engage in the design, development, and manufacturing of high-performance unmanned aerial vehicles, hereafter referred to as 'drones,' specifically engineered for security and surveillance applications. The company is dedicated to advancing UAV technology by integrating cutting-edge features and systems that enhance monitoring capabilities, facilitate accurate data collection, and support real-time situational awareness. In pursuit of this objective, the company shall engage in research, product design, and rigorous quality control processes to create drones that address the unique requirements of surveillance operations, ensuring reliability, operational efficiency, and adaptability for various security needs.

About The Role Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ? Mandatory Skills Data Science, ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, PostgreSQL Preferred Skills Gen AI, LLM, RAG, Lanchain, Vector DB, Azure Cloud, MLOps, Banking exposure ? 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipro’s Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc ? Mandatory Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Strong Backend Python developer Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Expert in applying ML techniques such asclassification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines. ? 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Generative AI. Experience8-10 Years. 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.

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.

About The Role Mandatory SkillGen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred SkillAWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming LanguagesProficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine LearningStrong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data ScienceExperience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud PlatformsExperience 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 VisionExperience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-SolvingStrong analytical and problem-solving skills with the ability to think critically and creatively. CommunicationExcellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team CollaborationAbility 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.

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 Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ? Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities ? 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders ? 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally ? Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation 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 Title: Data Scientist OpenCV Experience: 23 Years Location: Bangalore Notice Period: Immediate JoinersOnly Job Overview We are looking for a passionate and driven Data Scientistwith a strong foundation in computer vision, image processing, and OpenCV. Thisrole is ideal for professionals with 23 years of experience who are excitedabout working on real-world visual data problems and eager to contribute toimpactful projects in a collaborative environment. Key Responsibilities Develop and implement computer vision solutionsusing OpenCV and Python. Work on tasks including object detection,recognition, tracking, and image/video enhancement. Clean, preprocess, and analyze large image andvideo datasets to extract actionable insights. Collaborate with senior data scientists andengineers to deploy models into production pipelines. Contribute to research and proof-of-conceptprojects in the field of computer vision and machine learning. Prepare clear documentation for models,experiments, and technical processes. Required Skills Proficient in OpenCV and image/video processingtechniques. Strong coding skills in Python, with familiarityin libraries such as NumPy, Pandas, Matplotlib. Solid understanding of basic machine learningand deep learning concepts. Hands-on experience with Jupyter Notebooks;exposure to TensorFlow or PyTorch is a plus. Excellent analytical, problem-solving, anddebugging skills. Effective communication and collaborationabilities. Preferred Qualifications Bachelor\u2019s degree in computer science, DataScience, Electrical Engineering, or a related field. Practical exposure through internships oracademic projects in computer vision or image analysis. Familiarity with cloud platforms (AWS, GCP,Azure) is an added advantage.

Research Scientist: Snapshot The Machine Learning and Optimization (MLO) team at Google DeepMind India is driven by the mission of enabling ultra-efficient, adaptable, and performant large models for everyone . Our mission is realized through foundational research in machine learning, specifically focusing on advancements in next-generation machine learning architectures, large-scale optimization algorithms, reinforcement learning methodologies, and innovative sampling techniques. We apply our research advances to critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more! About us Artificial Intelligence could be one of humanity s most useful inventions. At Google DeepMind, we re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. In particular, our MLO team at GDM India, has deep expertise in machine learning fundamentals, large foundational models, reinforcement learning, generative modeling, and causal inference. Some of our breakthrough technologies include Matryoshka Representations and Matformers, Tandem Transformers, Treeformer, Causal Representation Learning . We have been at the forefront of reimagining Google s latest foundational models from an efficiency and adaptability viewpoint, while also disseminating our findings through publications at top ML conferences/journals. The role Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. Having pioneered research in the worlds leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning and AI. Key responsibilities Design, implement and evaluate models, agents and software prototypes of large foundational models. Deep dive into fundamentals of both the ML aspects of foundational models (like architectures, loss functions, data, evals) as well as their implementation on neural accelerators (efficiency during training, serving). Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing. Suggest and engage in team collaborations to meet ambitious research goals. Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate. Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity. About you In order to set you up for success as a Research Scientist at Google DeepMind India, we look for the following skills and experience: PhD in a technical field or equivalent practical experience. In addition, the following would be an advantage: PhD in Machine Learning, Computer Vision, Natural Language Processing or related areas A proven track record of publications and relevant experience in one or more areas such as large foundational models, ML+Systems, optimization, learning theory, computer vision, NLP etc. Proven experience with ML frameworks (e.g. JAX) and proven experience with training large models Proven experience working in industry, working on projects from proof-of-concept through to implementation, applying experimental ideas to applied problems A real passion for AI, Optimization, and Efficiency! Next steps Please fill out the required application form linked here and then continue on with the application on this page. Thank you! At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

[{"Salary":null , "Remote_Job":false , "Posting_Title":"Software Developer (AI)","City":"S.A.S.Nagar (Mohali)" , "Industry":"Technology" , "Job_Description":" Job Title: AI Developer Location: Chandigarh, India Department: Product & Innovation Reports To: Product Director Job Type: Full-Time About Us: TRUQUANTUM IT is a Global Leading Organization dedicated to leveraging cutting-edge technology to drive business innovation and growth. Were architects of online experiences, innovators in the digital landscape, and partners in our clients success stories. Our journey began with a simple yet powerful vision \u2014 to transform businesses through strategic and creative digital solutions. At TRUQUANTUM IT , we pride ourselves on a holistic approach to digital excellence. We dont just create websites or run marketing campaigns; we craft immersive digital journeys that resonate with audiences. From the inception of an idea to its execution, we bring together a team of passionate professionals who thrive on pushing boundaries and challenging the status quo. Our global team comprises of industry experts hailing from Canada and APAC realms including India and Indonesia having creative and innovative minds. We are tech-savvy enthusiasts and bring a wealth of intelligence and expertise to the table. Whether its web development, design, digital marketing, or emerging technologies, were here to navigate the complexities and deliver solutions that make a lasting impact. Position Overview: We are looking for an AI Developer to help integrate AI-driven features. The ideal candidate should be experienced in machine learning (ML), large language models (LLMs) like ChatGPT, and computer vision to analyze user activity, derive insights from screenshots, automate reporting, and develop intelligent recommendations to enhance productivity. Job Location and Address: This requirement is Full Time and working from the office only. No Hybrid or Remote is available. The Incumbent is required to work in the following location: Plot No E 275, Industrial Area, Sector 75, Sahibzada Ajit Singh Nagar, Punjab 160071 WeWork, Vi-John Tower, Udyog Vihar, 393, Phase 3, Gurugram, Haryana (122016) Responsibilities: Develop ML models to classify user activities and measure productivity. Implement OCR-based AI models to extract insights from captured screenshots. Leverage ChatGPT (LLMs) for AI-driven recommendations and reports . Build AI-powered automation for productivity tracking and workflow optimization. Integrate AI-driven anomaly detection to flag non-productive or suspicious activities. Design and optimize AI models for real-time processing and insights generation. Work with the backend team to deploy AI models in a scalable manner. Maintain code quality and implement AI testing frameworks. Requirements Technical Skills: Minimum 3 years of relevant experience in AI/ML Strong proficiency in Python, TensorFlow, PyTorch, OpenCV, and LangChain. Experience with ChatGPT, LLMs, and AI-based conversational interfaces. Knowledge of OCR technologies (Tesseract, Google Vision API) and NLP. Familiarity with cloud-based AI deployments (AWS, Azure, GCP). Experience in data processing, time-series analysis, and feature engineering. Strong understanding of REST APIs and AI model integration. Experience in real-time AI model optimization and inference.

Who we are Tractable is an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. Trained on millions of data points, our AI-powered solutions connect everyone involved in insurance, repairs, and sales of homes and cars - helping people work faster and smarter, while reducing friction and waste. Founded in 2014, Tractable is now the AI tool of choice for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the whole recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They help make response to recovery up to ten times faster - even after full-scale disasters like floods and hurricanes. Tractable has a world-class culture, backed up by our team, making us a global employer of choice! Were a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centred around collaboration, transparency, autonomy and continuous learning. Were seeking a Senior Data Scientist to lead the delivery of real-world AI solutions across industries like insurance and automotive. Youll drive end-to-end ML development from scalable pipelines to production deployment while mentoring teammates and collaborating with enterprise partners to deliver business impact. Your impact Architect Solutions: Design and optimise scalable ML systems, focusing on computer vision and NLP/LLM applications Build & Deploy Models: Develop and productionise deep learning models using Python and modern ML frameworks Lead Cross-Functionally: Align research, engineering, and product goals through hands-on leadership Mentor & Guide: Support junior team members and promote best practices in ML development Engage Customers: Collaborate directly with enterprise clients to ensure seamless integration of AI solutions Drive Innovation: Evaluate and implement new AI tools and methodologies to enhance performance and scalability What youll need to be successful Applied AI Expertise: 5+ years building ML systems, especially in computer vision or NLP/LLM Strong Python & ML Skills: Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow) Production Experience: Hands-on experience deploying ML models in production environments Cloud & Data Engineering: Knowledge of cloud platforms (ideally AWS) and scalable data pipelines Collaboration & Communication: Ability to work across teams and communicate complex ideas clearly Problem-Solving Mindset: Analytical thinking and a focus on continuous improvement Preferred experience Industry Impact: Experience applying AI in insurance, automotive, or similar sectors LLM/NLP Expertise: Background in large language models or conversational AI Scalable Product Delivery: Proven success scaling ML solutions in production Leadership: Track record of mentorship and technical leadership in data science teams Diversity commitment At Tractable, we are committed to building a diverse team and inclusive workplace where people s varied backgrounds and experiences are valued and recognised. We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.

Requirement Role: ML Engineer/Data Scientist Experience: 3 to 15 Years Job Description: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

Looking for a skilled Senior Data Science Engineer with 6-12 years of experience to lead the development of advanced computer vision models and systems. The ideal candidate will have hands-on experience with state-of-the-art architectures and a deep understanding of the complete ML lifecycle. This position is based in Bengaluru. Roles and Responsibility Lead the development and implementation of computer vision models for tasks such as object detection, tracking, image retrieval, and scene understanding. Design and execute end-to-end pipelines for data preparation, model training, evaluation, and deployment. Perform fine-tuning and transfer learning on large-scale vision-language models to meet application-specific needs. Optimize deep learning models for edge inference (NVIDIA Jetson, TensorRT, OpenVINO) and real-time performance. Develop scalable and maintainable ML pipelines using tools such as MLflow, DVC, and Kubeflow. Automate experimentation and deployment processes using CI/CD workflows. Collaborate cross-functionally with MLOps, backend, and product teams to align technical efforts with business needs. Monitor, debug, and enhance model performance in production environments. Stay up-to-date with the latest trends in CV/AI research and rapidly prototype new ideas for real-world use. Job Requirements 6-7+ years of hands-on experience in data science and machine learning, with at least 4 years focused on computer vision. Strong experience with deep learning frameworks: PyTorch (preferred), TensorFlow, Hugging Face Transformers. In-depth understanding and practical experience with Class-incremental learning and lifelong learning systems. Proficient in Python, including data processing libraries like NumPy, Pandas, and OpenCV. Strong command of version control and reproducibility tools (e.g., MLflow, DVC, Weights & Biases). Experience with training and optimizing models for GPU inference and edge deployment (Jetson, Coral, etc.). Familiarity with ONNX, TensorRT, and model quantization/conversion techniques. Demonstrated ability to analyze and work with large-scale visual datasets in real-time or near-real-time systems. Experience working in fast-paced startup environments with ownership of production AI systems. Exposure to cloud platforms such as AWS (SageMaker, Lambda), GCP, or Azure for ML workflows. Experience with video analytics, real-time inference, and event-based vision systems. Familiarity with monitoring tools for ML systems (e.g., Prometheus, Grafana, Sentry). Prior work in domains such as retail analytics, healthcare, or surveillance/IoT-based CV applications. Contributions to open-source computer vision libraries or publications in top AI/ML conferences (e.g., CVPR, NeurIPS, ICCV). Comfortable mentoring junior engineers and collaborating with cross-functional stakeholders.

" About Us : We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. Were growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology. Key Responsibilities: Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement. Qualifications: M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning. 5+ years of hands-on experience in building and deploying production-grade computer vision models. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models). Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus. Strong written and verbal communication skills, with a track record of mentoring and collaboration. Preferred Qualifications: Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance). Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.). Exposure to MLOps or ML model lifecycle in production environments. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.

Reading research papers and implementing state-of-the-art techniques Rapidly extending publicly available code modules to work on custom problems Software development of machine learning back-end Rapid experimentation, analysis, and deployment of machine/deep learning models Training and testing deep learning models at scale Working on cutting-edge technology in object detection, object tracking, OCR in natural scenes, image classification, video analysis, and many more exciting techniques that form the basis of AI (artificial intelligence). Skills Required: Hands-on experience in deep/machine learning for computer vision of 2+ years (extensive experience OpenCV, PyTorch, Tensorflow) Hands-on experience in Python with 2+ years of in-depth system building experience Smart programmers with strong analytical skills Job Perks: Work on a problem that will have positive impact on millions of users Work with experienced computer scientists Lively and highly collaborative environmen

Requirements 5+ years of experience in machine learning, with a focus on NLP, LLMs, and computer vision Proficiency in Python and deep learning frameworks like TensorFlow, Keras, or PyTorch Experience with OCR tools or PDF processing libraries Strong understanding of AI model development and deployment Ability to work in a hybrid environment, with 2 days per week in-office Open to relocation if required Responsibilities Develop and optimize NLP and LLM models to process construction product data Implement computer vision solutions for document analysis and data extraction Collaborate with cross-functional teams to integrate AI models into production workflows Continuously improve model performance and scalability Stay updated with the latest advancements in AI and machine learning Job Details Location: Hybrid (2x a week in-office) Perks Competitive salary Unlimited PTO Hybrid work model Zomato Enterprise for lunch in the office Annual Offsite ESOPs Performance bonus up to 20% of base salary Interview Process HackerEarth Take Home Coding Test 30 MCQs (30 minutes) Technical Round 1 Bug solving (60 minutes) Manager Round Tech Deep Dive (90 minutes) Founder Round Culture round (60 minutes) Show more Show less

We are seeking an Experienced AI Developer with a minimum of 2 years of experience to join our team. The ideal candidate will be passionate about artificial intelligence and possess a strong background in developing cutting-edge AI solutions. Roles and Responsibilities: - Designing, implementing, and optimizing machine learning algorithms and models to solve complex problems. - Utilizing deep learning frameworks such as TensorFlow or PyTorch for model development. - Collaborating with cross-functional teams to integrate AI capabilities into products and services. - Conducting research to stay abreast of the latest advancements in AI and machine learning. - Testing and validating models to ensure accuracy and reliability. - Providing technical expertise and guidance on AI-related projects. - Contributing to the development of AI strategies and roadmaps. - Documenting code, algorithms, and methodologies for knowledge sharing and future reference. - Keeping up-to-date with industry trends and best practices in AI and machine learning. Required Skills: - Proficiency in machine learning algorithms and techniques - Experience with deep learning frameworks such as TensorFlow or PyTorch - Strong programming skills in languages such as Python, Java, or C++ - Understanding of data structures and algorithms - Knowledge of natural language processing (NLP) ,computer vision (CV) and Generative AI (Lang chains and LLMs) - Familiarity with cloud platforms and services (eg, AWS, Azure, GCP) - Ability to work independently and collaboratively in a team environment - Excellent problem-solving and analytical skills - Strong communication skills to convey complex concepts to non-technical stakeholders