1840 Computer Vision Jobs - Page 17

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

The position at nCircle Tech involves working on next-generation software using CAD/CAM/CAE/3D visualization technologies. As a software engineer, you will be responsible for researching, evaluating, and implementing open-source computer vision models for image and video validation, as well as 3D data like CAD models and LiDAR point clouds. To be successful in this role, you should have 3-5 years of experience in computer vision and data analytics, with a strong proficiency in Python. Additionally, experience with machine learning and deep learning frameworks such as PyTorch and TensorFlow is required. A solid understanding of data structures and algorithms, along with expertise in computer vision models for real-time applications like object detection, face recognition, and tracking, is essential. Knowledge of LiDAR or 3D point cloud processing would be advantageous. The ideal candidate should also possess experience in deep learning concepts like CNNs, RNNs, ANNs, and Transformers, as well as familiarity with AWS. Proficiency in C++ and Terraform is preferred, along with a good grasp of mathematical concepts. Excellent written and verbal communication skills are a must. Working at nCircle Tech offers an environment of growth and learning, the opportunity to collaborate with international clients, and lead a dynamic team. You can enjoy flexible working hours, team-building events, and access to training materials and resources. Competitive compensation packages and a referral bonus program are also part of the benefits package.,

As a DotNet Developer with 2-4 years of experience, your primary responsibility will be to play a crucial role in designing, installing, testing, and maintaining software systems. You will closely monitor code performance to ensure smooth operation and efficiency. Additionally, you will assist in gathering and documenting user requirements, developing user stories, and providing estimates. Participation in peer-reviews of solution designs and related code will be an essential part of your role. Your duties will also include analyzing and resolving technical and application issues, as well as preparing reports, manuals, and other documentation regarding the status, operation, and maintenance of software. It is imperative that you adhere to high-quality development principles while ensuring the timely and budget-friendly delivery of solutions. Furthermore, you will be expected to innovate and devise new techniques for addressing day-to-day challenges effectively. Key Skills required for this role include proficiency in C#, .Net, ASP.Net MVC, Dot Net Core (mandatory), Web API (REST), Razor Pages, Python, Django framework, ML, Computer vision, JavaScript, CSS 2.0, CSS 3.0, Logic Gulp, and Basic jQuery. Knowledge of SQL Server Database and Dot Net Core will be considered advantageous. This position is based in Bangalore and requires candidates with a BE/BTech/MTech in Computer Science or MCA qualification. If you possess the relevant experience and skills, we encourage you to apply and be a valuable part of our dynamic team.,

As a Junior ML Developer in our Artificial Intelligence team, you will be responsible for designing, developing, and deploying machine learning models and algorithms to drive our innovative products and solutions. With 1 to 3+ years of experience, you will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to create scalable and efficient machine learning solutions. Your duties and responsibilities will include designing, implementing, and optimizing machine learning models, preprocessing and analyzing large datasets, developing features to enhance model accuracy, evaluating model performance, deploying models into production environments, staying updated with the latest advancements in machine learning, collaborating with various teams to integrate machine learning capabilities, and maintaining comprehensive documentation for models, algorithms, and processes. To excel in this role, you should have 1 to 3+ years of hands-on experience in machine learning or data science, expertise in handling large datasets and working with SQL and NoSQL databases, proficiency in developing, training, and deploying machine learning models, strong communication skills, the ability to work effectively in a team-oriented environment, experience with cloud platforms like AWS, Google Cloud, or Azure, knowledge of NLP, computer vision, or reinforcement learning, and familiarity with MLOps practices and tools. This position is based in Indore, MP, and involves working from the office. You should be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you are passionate about machine learning and eager to contribute to cutting-edge AI solutions, we encourage you to apply from the mentioned locations.,

As an Azure ML and Python Dev- Senior 1/2 at EY GDS Consulting digital engineering, you will be responsible for designing and implementing data pre-processing, feature engineering, and model training pipelines. Your role will involve collaborating closely with data scientists to ensure model performance and reliability in production environments. Proficiency in Azure ML services, Python programming, and a strong background in machine learning are essential for this position. You will have the opportunity to lead and contribute to cutting-edge projects on the Azure platform. Your key responsibilities will include developing and deploying machine learning models on the Azure cloud platform, designing efficient data pipelines, collaborating with stakeholders, implementing best practices for ML development, and maintaining APIs for model deployment and integration with applications. Additionally, you will monitor and optimize model performance, participate in code reviews and troubleshooting, stay updated with industry trends, mentor junior team members, and contribute to innovation initiatives. To qualify for this role, you must have a bachelor's or master's degree in computer science, data science, or a related field, along with 6-8 years of experience in machine learning, data engineering, and cloud computing. Strong communication skills, a proven track record of successful project delivery, and relevant certifications are highly desirable. Experience with other cloud platforms and programming languages is a plus. Ideally, you will possess analytical ability to manage multiple projects simultaneously, familiarity with advanced ML techniques and frameworks, knowledge of cloud security principles, and experience with Big Data technologies. Working at EY offers you the opportunity to work on inspiring projects, receive support and coaching from engaging colleagues, develop new skills, progress your career, and enjoy freedom and flexibility in your role. EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet. With a focus on data, AI, and advanced technology, EY teams help clients shape the future with confidence and address pressing issues. By working across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, EY teams provide services globally and emphasize high quality, knowledge exchange, and interdisciplinary collaboration.,

The Machine Learning Engineer (Azure Databricks) position is available in Navi Mumbai, Bengaluru, Pune, Gurugram, and Chandigarh. We are looking for a skilled individual with at least 3 years of relevant experience in Python, data science, ETL, advanced Python, machine learning, ML frameworks, Azure Cloud, and Databricks. Familiarity with deep learning, NLP, computer vision, and Python for image processing is also desired. As a Machine Learning Engineer, you will be responsible for leading machine learning projects, developing and optimizing algorithms, preparing and transforming datasets, evaluating model performance, and deploying models in production environments. Collaboration with cross-functional teams and basic understanding of DevOps practices are essential for success in this role. The ideal candidate will have hands-on experience in Python, advanced Python coding, machine learning model development, ML frameworks like Scikit-learn or TensorFlow, Azure cloud services, Databricks, and basic DevOps knowledge. An understanding of deep learning principles, NLP, computer vision, and image processing libraries is beneficial. If you join our team, you can expect opportunities for learning and certification, comprehensive medical coverage, a flexible work environment, and a fun, collaborative, and innovative workplace culture. We are committed to your professional growth and well-being, offering a supportive and dynamic environment to thrive in the field of AI and ML.,

You will be responsible for building systems and APIs to collect, curate, and analyze data generated by biomedical dogs, devices, and patient data. Your immediate requirements will include developing APIs and backends to handle Electronic Health Record (EHR) data, time-series sensor streams, and sensor/hardware integrations via REST APIs. Additionally, you will work on data pipelines and analytics for physiological, behavioral, and neural signals, as well as machine learning and statistical models for biomedical and detection dog research. You will also be involved in web and embedded integrations connecting software to real-world devices. To excel in this role, you should have familiarity with domains such as signal processing, basic statistics, stream processing, online algorithms, databases (especially time series databases like victoriametrics, SQL including postgres, sqlite, duckdb), computer vision, and machine learning. Proficiency in Python, C++, or Rust is essential, as the stack primarily consists of Python with some modules in Rust/C++ where necessary. Firmware development is done in C/C++ (or Rust), and if you choose to work with C++/Rust, you may need to create a Python API using pybind11/PyO3. Your responsibilities will involve developing data pipelines for real-time and batch processing, as well as building robust APIs and backends for devices, research tools, and data systems. You will handle data transformations, storage, and querying for structured and time-series datasets, evaluate and enhance ML models and analytics, and collaborate with hardware and research teams to derive insights from messy real-world data. The focus will be on ensuring data integrity and correctness rather than brute-force scaling. If you enjoy creating reliable software and working with complex real-world data, we look forward to discussing this opportunity with you. Key Skills: backend development, computer vision, data transformations, databases, analytics, data querying, C, Python, C++, signal processing, data storage, statistical models, API development, Rust, data pipelines, firmware development, stream processing, machine learning,

As a Full Time Frontend Developer Intern at Mohali, you will be entrusted with the exciting opportunity to combine your skills in UI development and creative video storytelling. Your primary focus will involve crafting user-friendly interfaces for cutting-edge AI applications and producing engaging video portfolios that exemplify our innovative projects. Your responsibilities will include collaborating to build responsive web interfaces utilizing HTML, CSS, JavaScript, and React.js. You will also play a vital role in the frontend development of AI and Computer Vision-driven products, as well as in the creation of concise video showcases using tools like Adobe Premiere Pro, After Effects, or similar software. Working closely with both the design and AI teams, you will contribute to bringing visual elements and interfaces to life while ensuring consistency in design across web and video assets. To excel in this role, you should possess a solid grasp of HTML, CSS, JavaScript, and React (or similar frameworks), along with a familiarity with fundamental UI/UX principles. An interest in or prior experience with AI, ML, or Computer Vision applications will be advantageous. Proficiency in basic video editing using tools like Adobe Premiere, After Effects, DaVinci Resolve, etc., is required, along with a keen eye for detail and a flair for visually presenting content creatively. Having a comprehensive portfolio that includes both GitHub projects and video work will be considered a significant asset. If you are eager to embark on this dynamic journey and contribute your expertise to our team, we invite you to share your CV with us at careers@harmonydi.com or hr@harmonydi.com.,

Qualcomm India Private Limited is seeking a Software Engineer to contribute to the design, development, performance optimization, and power efficiency of XR products utilizing Qualcomms cutting-edge SoC technology on Android and Linux platforms. You will be tasked with analyzing complex software systems, collaborating with team members, and providing technical leadership. To qualify for this role, you should possess a Bachelor's, Master's, or PhD degree in Engineering, Information Systems, Computer Science, or a related field. Additionally, you should have at least 2 years of Software Engineering experience with programming languages like C, C++, Java, Python, etc. and 3-8 years of hands-on experience in multimedia software design and development in domains such as Virtual/Augmented Reality, Camera, Graphics, Video, Display, or Computer Vision. The ideal candidate should excel in C/C++ programming, have experience in embedded multimedia product development for Android Smartphones or Network-based Video/Camera products, and be familiar with the internals of Linux and Android systems. Candidates with additional qualifications such as expertise in heterogenous/multi-core architectures, XR product development, or previous experience with Qualcomm Snapdragon platforms will be preferred. Qualcomm values diversity and is an equal opportunity employer. If you require accommodations during the application process, Qualcomm is committed to providing accessible solutions. Please contact disability-accomodations@qualcomm.com for assistance. Qualcomm also expects its employees to adhere to all policies and procedures, including safeguarding confidential information. Please note that Qualcomm's Careers Site is exclusively for individuals seeking job opportunities at Qualcomm. Staffing agencies and their representatives are not permitted to submit profiles, applications, or resumes through the site. Qualcomm does not accept unsolicited resumes or applications from agencies. For more information about this role, reach out to Qualcomm Careers directly.,

As a Senior Data Scientist at CIS, you will be responsible for designing and developing machine learning algorithms and deep learning applications. With a required experience of 2.6 to 6 years, you will utilize your expertise in AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision to solve complex problems with multilayered data sets. Your educational background should include a Bachelor's or Master's degree in computer science, mathematics, or a related field. Your primary objectives will include collaborating with various teams such as data scientists, administrators, data analysts, data engineers, and data architects to optimize existing machine learning libraries and frameworks. You will identify data distribution differences that could impact model performance and ensure accurate user recommendations. Additionally, staying updated with industry developments is crucial to excel in this role. Your duties and responsibilities will involve transforming data science prototypes, running machine learning tests, training and monitoring systems, and constructing optimized data pipelines. Moreover, you will consult with managers to refine machine learning objectives and extend existing libraries and frameworks. Proficiency in machine learning frameworks like Keras or PyTorch, along with strong analytical, problem-solving, and communication skills, will be essential for success in this role. This position is based in Indore, Madhya Pradesh, and follows a work from office model. You must be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you possess a passion for continuous learning, innovative thinking, and have a proven track record in machine learning engineering, we encourage you to apply from the listed locations for this exciting opportunity.,

Join us and be part of our exciting journey in becoming the global leader in video analytics! We are streamingo.ai, a deep learning company working in the domain of activity recognition. The company has developed 2 products on a MEAN stack architecture. We are now looking for a specific skill set to augment our Core platform team of engineers (They have developed https://deeplabel.app). We are a deep learning company focused on human activity detection, human object interaction, and object detection. Our core product https://deeplabel.app is a low code AI platform that simplifies development of enterprise-grade workflows for analysis of videos (focused on activity recognition and human object interaction). The platform has been architected to make it simple for an organization to create and deploy pipelines that accomplish automation of existing workflows (e.g., automated consumer behavior analysis, sports analysis (player tracking and similar use cases), automated shopper behavior analysis in retail, automated image analysis for healthcare, and many more. The cutting edge work in video AI we do has attracted excellent research talent from the top institutions of India. Join us to have a great career filled with learning, productization of cutting-edge AI research, and building scaled-out Web architectures using the latest and greatest technologies. Ideally, you'd have: - 4+ years of model training, deployment, and maintenance in a production environment. - Strong skills in computer vision, NLP, or deep learning. - Solid background in algorithms, data structures, and object-oriented programming. - Strong programming skills in Python, experience in TensorFlow or PyTorch. Nice to have: - Experience with deep learning with large-scale video processing. - Published research in areas of machine learning at major conferences and/or journals. - Experience working with a cloud technology stack (e.g., AWS or GCP) and developing machine learning models in a cloud environment. - Mentored and grown members of your team or been a tech lead on large projects.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

You are an experienced AI/ML Content Developer who will be joining an innovative EdTech team. Your primary responsibility will involve creating cutting-edge educational content in artificial intelligence and machine learning. This includes developing comprehensive courses covering various AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. Your role will be pivotal in shaping how the next generation of AI practitioners learn and apply these transformative technologies. Your key responsibilities will include designing and developing comprehensive courses, content creation in various formats like hands-on labs, interactive exercises, assessments, and project-based learning modules. You will also be structuring learning paths logically from foundational concepts to advanced AI applications. Practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks will be a significant part of your role. Ensuring that all content reflects current AI/ML best practices and industry trends will be crucial. You will be creating practical, real-world scenarios that replicate AI development workflows and challenges. Moreover, developing hands-on projects involving model training, fine-tuning, and deployment to provide learners with portfolio-worthy experience will be essential. Collaboration with the instructional design team to optimize learning outcomes for complex technical concepts is also expected. You will work closely with the platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be part of your responsibilities. Staying current with the latest AI research, tools, and educational methodologies is necessary. Additionally, integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant is also expected. To qualify for this role, you should have at least 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Domain expertise in machine learning algorithms, deep learning architectures, and AI system design is required. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and/or TensorFlow, and expertise in natural language processing techniques are necessary technical skills. Strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating compelling narratives around AI applications and use cases are also essential. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or related fields, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and understanding of accessibility standards in educational content are also desirable.,

You are a highly experienced Senior Python & AI Engineer who will be responsible for leading the development of cutting-edge AI/ML solutions. Your role will involve architecting solutions, driving technical strategy, mentoring team members, and ensuring timely delivery of key projects. As a Technical Leader, you will architect, design, and implement scalable AI/ML systems and backend services using Python. You will also oversee the design and development of machine learning pipelines, APIs, and model deployment workflows. Your responsibilities will include reviewing code, establishing best practices, and driving technical quality across the team. In terms of Team Management, you will lead a team of data scientists, ML engineers, and Python developers. Providing mentorship, coaching, and performance evaluations will be vital. You will facilitate sprint planning, daily stand-ups, and retrospectives using Agile/Scrum practices. Additionally, coordinating with cross-functional teams such as product, QA, DevOps, and UI/UX will be necessary to deliver features on time. Your focus on AI/ML Development will involve developing and fine-tuning models for NLP, computer vision, or structured data analysis based on project requirements. Optimizing model performance and inference using frameworks like PyTorch, TensorFlow, or Hugging Face will be part of your responsibilities. Implementing model monitoring, drift detection, and retraining strategies will also be crucial. Project & Stakeholder Management will require you to work closely with product managers to translate business requirements into technical deliverables. You will own the end-to-end delivery of features, ensuring they meet performance and reliability goals. Providing timely updates to leadership and managing client communication if necessary will also be part of your role. Your Required Skills & Experience include a minimum of 5 years of professional experience with Python and at least 2 years working on AI/ML projects. You should have a strong understanding of ML/DL concepts, algorithms, and data preprocessing. Experience with frameworks like PyTorch, TensorFlow, scikit-learn, FastAPI/Django/Flask, deployment tools like Docker, Kubernetes, MLflow, and cloud platforms such as AWS/GCP/Azure is essential. In terms of leadership, you should have at least 3 years of experience in leading engineering or AI teams, along with excellent planning, estimation, and people management skills. Strong communication and collaboration skills are also required. Preferred Qualifications for this role include a Masters or PhD in Computer Science, Data Science, AI/ML, or related fields, exposure to MLOps practices, experience with RAG, LLMs, transformers, or vector databases, and prior experience in fast-paced startup or product environments. In return, you will have the opportunity to lead cutting-edge AI initiatives, encounter task variety and challenging opportunities, benefit from high autonomy, a flat hierarchy, and fast decision-making, as well as receive competitive compensation and performance-based incentives.,

You are an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role. Your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially while working with large datasets. You have experience deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and related tools. Your knowledge extends to Generative AI concepts and LLM finetuning, supported by excellent communication and collaboration skills. Your responsibilities as a Lead Data Scientist include guiding and mentoring a high-performance team on the latest technology landscape, patterns, and design standards. You provide strategic direction and technical leadership for AI initiatives, leading the design and architecture of complex AI systems. Your role involves developing and deploying machine learning/deep learning models to address key business challenges, applying various techniques in statistical modeling, data preprocessing, feature engineering, and more. You are proficient in areas such as computer vision, predictive analytics, natural language processing, time series analysis, and recommendation systems. Furthermore, you design and optimize data pipelines for model training and deployment, utilizing model serving frameworks and APIs for integration with other systems. Your qualifications include a Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Your primary skills encompass Python, Data Science concepts, Pandas, NumPy, Matplotlib, Artificial Intelligence, Statistical Modeling, Machine Learning, Natural Language Processing (NLP), Deep Learning, Model Serving Frameworks, MLOps, Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems, Generative AI, and proficiency in Cloud Computing Platforms. Your secondary skills involve expertise in designing scalable and efficient model architectures, the ability to assess and forecast financial requirements of data science projects, and strong communication skills for conveying technical concepts to stakeholders. As a Lead Data Scientist, you stay updated with the latest advancements in data science and machine learning, particularly in generative AI, to evaluate their potential applications and serve as a primary point of contact for client managers.,

About Vivriti Group Vivriti Group is a trailblazer in the mid-market lending space, offering customized debt solutions to mid-sized enterprises. The group operates through two core businesses: Vivriti Capital Limited, a systematically important Non-Banking Financial Company (NBFC ND-SI) regulated by the Reserve Bank of India (RBI), and Vivriti Asset Management, a fixed-income fund manager managing multiple Alternative Investment Funds (AIFs). Vivriti Capital has disbursed over USD 3 billion to 300+ enterprise borrowers with a CRISIL rating of A+. Vivriti AMC has over USD 550 million in commitments from 900+ institutional and private contributors and has invested more than USD 600 million across 90+ entities. Job Title: Manager - AI Product Location: Chennai / Bangalore Employment Type: Full-time Department: Product Management Role Overview As an AI Product Manager at Vivriti Group, you will be responsible for owning the end-to-end lifecycle of AI/ML products focused on wholesale lending. This includes activities from ideation and strategy to development, launch, and iteration. Collaboration with data scientists, engineers, designers, credit, risk, and business stakeholders is crucial to ensure that AI initiatives align with user needs and business goals. Key Responsibilities - Define and execute the AI product roadmap in collaboration with leadership and cross-functional teams. - Translate business problems into clear AI/ML product requirements. - Collaborate with data scientists and engineers to define success metrics, datasets, and model evaluation frameworks. - Prioritize product features and improvements based on user research, data analysis, and business value. - Ensure model performance, explainability, fairness, and compliance with ethical standards. - Drive experimentation, A/B testing, and iteration cycles for continuous product improvement. - Act as the liaison between engineering, data science, design, and stakeholders to ensure timely and high-quality delivery. - Stay updated on emerging AI trends, technologies, and best practices. User Experience (UX) Champion a user-centric design approach by working with UX/UI designers to create intuitive, efficient, and delightful user experiences for complex financial workflows. Performance & Metrics Define key performance indicators (KPIs) for product success and provide regular reports on product performance to stakeholders. Requirements Must-Have: - Up to 3 years of product management experience, preferably with AI/ML-based products. - Basic understanding of machine learning concepts, model lifecycle, and data infrastructure. - Proven experience in translating complex technical requirements into scalable product solutions. - Familiarity with MLOps, model evaluation metrics, and deployment pipelines. - Exceptional communication and stakeholder management skills. - Experience with agile product development and tools (e.g., Jira, Confluence, Figma, GitHub). Nice-to-Have: - Hands-on experience with data analysis tools (e.g., SQL, Python, Jupyter). - Experience with LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems. - Background in computer science, engineering, data science, or a related field. - Prior startup or high-growth environment experience.,

You will be joining the Digital Engineering Solutions team at CDM Smith as an Artificial Intelligence/Machine Learning Engineer. In this role, you will work within the Data Technology group to support strategic Architecture, Engineering, and Construction (AEC) initiatives by leveraging cutting-edge data technologies and analytics. Your responsibilities will include contributing to advanced analytics and implementing AI/ML solutions to address complex business challenges within the AEC domain. You will utilize state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Your role will involve analyzing large datasets to identify patterns and trends and ensuring AI models perform in line with business requirements. As an AI/ML Engineer, you will collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. You will also be involved in optimizing AI/ML workflows by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Additionally, staying updated on the latest developments in technology and best practices will be crucial to your role. To succeed in this position, you should have a good understanding of the software development life cycle and experience with building and deploying machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Knowledge of cloud-based AI/ML services, programming languages (e.g., R, Python, Scala), and MLOps practices is essential. You must also be familiar with data privacy, security, and ethical AI principles to ensure compliance with relevant standards. Strong problem-solving, critical thinking, and communication skills are required to effectively address technical challenges and engage with both technical and non-technical audiences. Minimum qualifications for this role include a Bachelor's degree and 1-2 years of related experience. Equivalent additional experience will be considered in lieu of a degree. The position does not require any travel. Background checks, including criminal history, employment verification, and drug testing, may be conducted as per CDM Smith's policies for certain positions. As an AI/ML Engineer at CDM Smith, you will play a key role in driving innovation and delivering impactful solutions for AEC professionals and client outcomes. Your contributions to the Data Technology group will help shape the future of AI/ML in the architecture, engineering, and construction industry.,

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions, experiencing growth exceeding 4x year over year. Our solution is quickly gaining recognition as a significant disruptive technology. As our team expands, we are seeking forward-thinking, uncompromising, and competitive team members to support our continued growth. Founded in 2015, Netradyne is a technology company specializing in Artificial Intelligence, Deep Learning, and Edge Computing to deliver innovative solutions to the transportation industry. With technology deployed in thousands of vehicles, our customers operate a wide range of vehicles in various environments. Netradyne is currently looking for talented engineers to join our Analytics team, which consists of graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, UCSD, etc. Our team focuses on developing cutting-edge AI solutions to help drivers and fleets identify unsafe driving scenarios in real-time, thus preventing accidents and reducing fatalities/injuries. **Job Title:** Senior AI Platform Product Manager **Location:** Bangalore **Department:** Product Management **Reports To:** Director **About the Role:** We are in search of an experienced Senior AI Platform Product Manager to lead the development and continuous enhancement of our AI-driven platform. This role involves ensuring robust, consistent, and accurate AI features through close collaboration with cross-functional teams. The ideal candidate will possess strong domain knowledge in machine learning, particularly in computer vision, and will spearhead initiatives to improve our platform's AI capabilities and analytics features. **Key Responsibilities:** - **Safety Feature Development:** Drive the creation of new AI-driven safety features in collaboration with international and Indian fleet customers. Inspire innovation and align feature development with customer requirements and market opportunities. - **AI KPI Management:** Understand and evaluate machine learning algorithms using key performance indicators (KPIs) like precision, recall, and false positive rate. Apply statistical principles for unbiased and accurate performance assessments and collaborate with the Analytics Operations team for root cause analysis of ML observations. - **Continuous Improvement Initiatives:** Lead ML continuous improvement (CI/CD) efforts with the ML Infrastructure team, striving for 99%+ model accuracy. Prioritize enhancements based on current KPIs and collaboration with ML Infra Product Experts. - **User Experience:** Collaborate with the UX team to enhance customer interactions through video annotation, alert decoration, and feature configurations. - **Release Management:** Supervise roadmap enhancements for release cycles. Ensure accurate release notes and work with the technical documentation team for customer-facing communications. - **Compliance and Best Practices:** Review all AI Product Management PRDs to ensure alignment with the platform's standards and best practices. - **Mentorship:** Provide mentorship to junior product managers, fostering a culture of learning and collaboration within the team. **Skills:** - Strong analytical skills for data evaluation, risk assessment, and decision-making. - Effective communication skills tailored to various audiences, including engineering, marketing, support, and leadership. - Ability to lead cross-functional teams and drive complex projects to completion. **Qualifications and Experience:** - Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred. - Minimum of 10 years of experience in technology, with at least 5 years in Product Management focusing on AI-driven platforms. - Sound understanding of machine learning, computer vision, and statistical principles. - Familiarity with product management tools like JIRA, Confluence, or similar. - Demonstrated ability to work with international teams and flexibility for accommodating different time zones, including evening IST meetings. - Experience in video telematics and fleet management is advantageous. If your experiences and skills align with the Company's requirements, we will reach out to you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies should refrain from contacting us. Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, visit the Federal Trade Commission's job scams website.,

As an accomplished and forward-thinking academic leader in the field of Computer Science and Artificial Intelligence at Woxsen University, you will have the opportunity to shape the university's technological education and research agenda. Your role will involve mentoring the next generation of AI innovators, engineers, and researchers. Your key responsibilities will include delivering undergraduate and postgraduate courses in Computer Science, Artificial Intelligence, and related domains such as Machine Learning, Deep Learning, NLP, Computer Vision, Robotics, and Data Science. You will be responsible for developing and revising curriculum in line with the latest industry trends and academic advancements. Additionally, guiding students in projects, hackathons, capstone work, and entrepreneurial ventures will be an essential part of your role, fostering a student-centered learning environment that emphasizes critical thinking and innovation. In terms of research and publications, you will conduct advanced research in AI and allied areas with a focus on real-world applications. Regularly publishing in top-tier peer-reviewed journals such as IEEE, ACM, Scopus, ABDC, etc., will be expected. You will also be required to apply for funded research projects, patents, and collaborative industry grants, while mentoring junior faculty and research scholars in building strong research pipelines. As an academic leader, you will contribute to the university's strategic goals through curriculum development, accreditation processes, and academic policy formation. Participation in conferences, symposiums, and thought leadership forums representing Woxsen will be important, along with serving on academic committees and contributing to interdisciplinary collaborations across schools. Your engagement with industry and innovation will involve building partnerships with AI-focused companies, R&D centers, and tech startups for live projects, internships, and placements. Facilitating industry certifications, professional workshops, and guest lectures for student and faculty enrichment will be part of your responsibilities. Furthermore, developing AI labs, research clusters, and centers of excellence on campus will be crucial in fostering innovation. To qualify for this position, you must hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline from a recognized institution. A minimum of 5-10 years of teaching and/or industry experience in advanced computer science and AI domains is required. A strong research track record with publications in reputed journals/conferences, proficiency in programming languages such as Python, Java, C++, and frameworks like TensorFlow, PyTorch, OpenCV, etc., as well as experience with cloud platforms (AWS, GCP, Azure) and edge AI tools is desirable. Prior experience in curriculum design, academic leadership, or working with accreditation bodies (NBA/NAAC/ABET) will be advantageous for this role.,

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension - all tailored to the complexities of industrial environments. Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Work on AI-driven projects that drive real change across industries and improve lives. We are looking for a highly skilled Computer Vision Engineer to join our internal product development team. As a Computer Vision Engineer, you will be responsible for designing, developing, and implementing advanced computer vision algorithms and systems that enable machines to interpret and understand visual information from the industrial world. The Industrial Computer Vision team addresses hard, novel challenges that arise in product development. As a Computer Vision Engineer, you'll bring your knowledge and proven machine learning expertise to develop cutting edge solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of the intersection of Machine Vision and Software Engineering. You shall have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers. You should have a strong background in computer vision, deep learning, and software development, along with a passion for solving complex problems and pushing the boundaries of what machines can see and understand. Independently and effectively engage within the internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge Machine vision technology. Conduct research and create models for commercial and industrial applications in health and safety e.g. based on computer vision. Your role will involve researching the latest advancements in computer vision and machine learning, prototyping new ideas, and deploying scalable solutions into production environments. Work with the team to propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals. Key responsibilities include developing and optimizing computer vision models; integrating vision systems into real-time applications. You will also be expected to evaluate model performance, conduct error analysis, and continuously improve the accuracy and efficiency of vision systems. You should have a minimum of 2 years of experience, ideally with a degree in Computer Science, Electrical Engineering, or a related field, focusing on computer vision or machine learning. Strong programming skills in C++ and Python are required, along with experience in Deep Learning algorithms and GPU programming. Familiarity with cloud platforms such as AWS or Azure is highly desirable. Experience in YOLO object detection algorithm or similar Convolutional Neural Network algorithms is preferred. Strong written and verbal communication skills are necessary to translate complex technical topics to internal and external stakeholders. Prior experience in cutting-edge technologies with real-world impact across industries like autonomous vehicles, healthcare, robotics, and augmented reality is a plus. If you are passionate about computer vision and want to be part of a dynamic and innovative team, we encourage you to apply. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.,

You will be responsible for leading and shaping various development initiatives as an experienced Architect specializing in Computer Vision software. Your role will involve integrating advanced algorithms and optimizing solutions for real-world UAV applications like Vision-based UAV navigation, object detection/tracking, and obstacle avoidance. This may require working with multiple sensors such as radar, inertial, GPS, in addition to cameras. Experience in developing multi-modal architectures for applications like Advanced Driver Assistance Systems (ADAS), Robotics, or UAVs will be advantageous. Your key responsibilities will include incorporating advanced DL/CV algorithms into the system architecture, designing scalable software systems, and leveraging hardware capabilities to optimize software performance. You will also be involved in defining strategies for edge computing deployment and collaborating effectively with cross-functional teams. To excel in this role, you should have expertise in deep learning frameworks like TensorFlow or PyTorch, experience in edge computing and deploying solutions on embedded devices, and knowledge of ROS/ROS2 and hardware acceleration using OpenCL/CUDA. Publications in top CV/ML conferences and a solid understanding of software architecture principles are desirable. Strong leadership, communication skills, and a degree in Computer Science, Electrical Engineering, or a related field will be valuable assets for this position.,

You should have at least 5+ years of experience and be proficient in Computer vision, Image processing, C++, Open CV, and Camera calibration. The job is based in Bangalore, India and follows a hybrid mode of work. As a candidate, you are expected to have experience in software design and implementation, with a strong proficiency in C++ and Object Oriented Analysis & Object Oriented Design Methodologies. Deep theoretical and practical background in Applied Mathematics, Optimization, Signal Processing, and Object/Pattern Recognition is required. Additionally, experience in debugging and bringing up prototype HW/SW systems, including optics, illumination, imaging sensors, and their interactions with motion systems is necessary. Exposure to machine learning techniques such as developing high-level image scene classifiers and adaptive vision algorithms based on feature extraction and data mining is preferred. The ability to construct the entire system from concept development, data collection, real-time implementation to field deployment is a key aspect of the role. You should have hands-on experience in computer vision algorithms and implementation, as well as strong expertise in image processing and Open CV. Proficiency in camera calibration, C++, and basic concepts such as spatial filtering, edge detection, histogram analysis, morphological processing, and pattern matching is essential. This position falls under the IT job category and requires a educational qualification of BE, B.Tech, M.Tech, ME, or MCA. The work location for this role is in Bangalore, India.,

The Data Science Consultant position is a challenging opportunity for someone with 4-9 years of experience. In this role, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your main responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. We are looking for a skilled and experienced Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, and medical technology. As a Data Scientist, you will be tasked with developing AI models and applying GenAI techniques in various areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. In this role, you will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. You will also be responsible for developing and implementing GenAI based solutions through contextual prompt engineering and prompt tuning, and supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions will be a key part of your responsibilities. You will design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Additionally, you will architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Experience with cloud platforms, particularly Azure/GCP, and familiarity with AWS will be beneficial in this role. It is essential to stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. If you are seeking a challenging role that allows you to apply your data science skills and industry knowledge, this position is ideal for you.,

As an In-Store Representative at Portl, you will play a crucial role in representing our AI-driven Connected Fitness & Wellness technology company to walk-in customers. Your primary responsibility will be to engage with customers, provide detailed explanations of product features, and ensure a seamless shopping experience that aligns with our brand's core values of health and performance. You will be expected to greet customers warmly, address their product inquiries effectively, and assist them in making informed purchase decisions. It will be essential for you to possess excellent communication skills in both English and Hindi to cater to a diverse customer base. Your ability to showcase the features, benefits, and proper usage of fitness products and equipment will contribute significantly to enhancing customer satisfaction and driving sales. Maintaining a clean, organized, and visually appealing store environment will be key to creating a positive shopping atmosphere. Additionally, your role will involve demonstrating product usage when necessary, managing inventory, handling billing processes, and supporting overall store operations. By providing exceptional after-sales support and collecting valuable customer feedback, you will contribute to building long-lasting relationships with our clientele. Collaboration with the sales team to achieve store targets will be a key aspect of your role, requiring you to work cohesively in a team-oriented environment. Your role will also entail staying up-to-date with product knowledge, offering insights to customers, and ensuring a high level of customer service at all times. The ideal candidate for this position will be highly presentable, possess a friendly demeanor, and have a genuine interest in fitness and wellness products. Being a quick learner with a customer-centric approach will be advantageous in fulfilling the responsibilities effectively. Prior experience in retail, customer service, or fitness sales will be beneficial, although not mandatory. An energetic and self-motivated attitude, coupled with enthusiasm for assisting customers in making informed choices, will be highly valued. If you are looking to join a technology-driven company dedicated to creating personalized Fitness, Wellness & Lifestyle experiences, this role offers a competitive salary, performance incentives, employee discounts, fitness product training, and the opportunity to be part of a supportive and energetic team environment. Your role as an In-Store Representative at Portl will be instrumental in promoting our innovative products and services, empowering individuals to achieve their best potential through health and wellness solutions.,

The company is seeking a Gen AI / AI Engineer with at least 2 years of experience in the field of AI/ML solutions, specifically focusing on Generative AI and RAG (Retrieval-Augmented Generation) architectures. The role involves working on cutting-edge models, fine-tuning, and integrating systems to develop scalable AI products. Responsibilities include fine-tuning and optimizing Large Language Models (LLMs) and generative models for text and image, designing and implementing RAG pipelines with knowledge bases, developing APIs, microservices, and scalable AI pipelines, collaborating with MLOps teams for production deployment, and staying updated on the latest AI trends to apply innovative techniques. The ideal candidate should possess skills in Python, PyTorch/TensorFlow, Generative AI (OpenAI, Anthropic, LLaMA), RAG architecture, Natural Language Processing (NLP), Computer Vision, API development, MLOps, and have experience working with Cloud Platforms such as AWS/Azure/GCP. Qualifications include a Bachelors degree in Computer Science or a related field, at least 2 years of experience in AI/ML with a focus on GenAI & RAG, and hands-on experience with production-grade model deployment. If you are enthusiastic about contributing to the development of next-generation AI solutions, we encourage you to apply for this exciting opportunity now!,