1594 Computer Vision Jobs - Page 18

Overview: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues. Performs very complex data science work, creates new ways of analyzing data, builds very complex business models, and makes recommendations that impact an entire business unit or very large complex sector. Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following: Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Designs, builds, and analyzes large (e.g. 100 s of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design. Tools can include snowflake and databricks. Coding Solutions, Algorithms and Feature Engineering: Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring / diagnosis / resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining and (2) Uses concepts like mlflow to log metrics. Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs. Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.). Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Fine-Tuning-Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets. Agentics-Understanding of agentic architecture, concepts and optimization of solutions. Prompt Engineering-Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG)-Combining generative models with retrieval systems to enhance performance and relevance. Text Generation-Proficiency in using models like GPT-3/4 for generating human-like text. Image Generation-Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions. Key Skills: Python, R, Scala, Generative AL, Credit, Modele development, Fraud, tiral analysis, Machine Learning (ML), Snowflake, databricks, Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, AutoML Job ID R-72967 Date posted 06/30/2025

Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description What will you do: Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines. Work closely with machine learning leadership team to define and implement the technology and architectural strategy. Take partial ownership of project technical roadmap , which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery. Deliver and maintain high-quality scalable systems in a timely and cost-e ective manner. Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the teams workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 5 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies , such as Kubernetes or Docker containers. Experience with large language models (GPT-4, Pathways, Google Bert, Transformer) and deep learning tools ( TensorFlow, Torch ). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. Experience in communicating with users , other technical teams, and product management to understand requirements, describe software product features, and technical designs . Nice to have: Experience in directly managing a team of high calibre machine learning engineers and data scientists. Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology. A real passion for AI! Why Youll Love Sprinklr: Were committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the worlds largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr s EEO Policy and EEO is the Law.

Description: Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. As Platform and Applied AI Manager based in Bengaluru, you will lead a world-class team to build cutting-edge products/solutions, production grade AI/Gen AI platforms, build AI agents while addressing critical challenges such as AI governance, bias, drift, and scalability. The role involves building predictive and prescriptive AI models, building domain-specific AI models for full construction lifecycle with AI governance, security, and responsible AI. This role demands a hands-on leader who can translate and execute complex AI capabilities into clear, compelling business value. If you re ready to power the next frontier of enterprise SaaS innovation and shape the future of AI in infrastructure, we want you at the helm. The ideal candidate will fulfil these skills and requirements. Top Skils Machine Learning & Data Science Expertise: You have proven experience in designing, building, and deploying ML, NLP, and Generative AI models in production environments. Gen AI and Agentic AI: Strong experience in building, deploying and monitoring Gen AI and Agentic AI solutions using the latest LLMs in cloud environment. AI Governance & Risk Management: You can demonstrate strong knowledge of addressing AI risks, including bias, model drift, scalability, and ensuring fairness and transparency. Technical Leadership: Your experience reflects your ability to lead R&D efforts in cutting-edge AI technologies like Agentic AI, Multi modal models, LLMs, computer vision, and deep learning. Strategic Communication: You can articulate our AI offering value propositions clearly and equally comfortable with technical teams, and non-technical stakeholders. Mentor data scientists and data engineers on end-to-end data science life cycle Driving discussions with the Aurigo platforms and work across the product teams to implement the AI initiatives Responsible for Agentic AI development and deployment Requirements: Advanced Engineering degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Ability to inspire teams and translate complex ideas into actionable roadmaps. Lead by example with hands-on experience from PoC to Production. Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Proven track record of driving measurable outcomes and delivering scalable, impactful AI products and platforms. Bridge business requirements with technical solutions, leading data transformation initiatives, and establishing standards across the organization. 8+ years of experience in AI/ML, with at least 4 years in leadership roles. 3+ years specifically focused on designing and implementing Gen AI solutions 5+ years of experience with cloud data platforms, particularly AWS. Deep knowledge of Gen AI, Agentic AI, Machine learning, Deep Learning, Data science, Data pipelines and MLOps. Good understanding of AI governance principles, including fairness, transparency, and accountability. Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Strong expertise with LLMs (e.g., GPT, Claude, Mistral) Proficiency in cloud platforms for AI architecture: AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings. People Management: Excellent abilities in attracting, inspiring, and keeping talent. Experience leading and mentoring technical teams Experience with regulatory frameworks related to AI ethics, governance, and compliance. Experience in integrating AI into customer-centric products. Curiosity to learn new technologies and show the business value using those technologies Demonstrated experience in driving innovation Analytical thinking and problem-solving ability Drive the planning, development, execution and deployment of AI/Gen AI projects About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks , our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. At Aurigo, we don t just develop software we shape the future. If you re excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let s connect. Competencies

Deep Learning Engineer (Computer Vision & Audio Analysis) Location: Remote / Client Location Experience: 3+ Years Employment Type: Full-Time (Client Deployment via Hubnex Labs) Role Overview Join a pioneering AI team to design and deploy cutting-edge deep learning solutions for computer vision and audio analysis. You ll leverage CNNs, Vision Transformers, attention mechanisms, and multi-modal techniques to solve complex real-world challenges in object detection, video processing, and audio classification. Key Responsibilities Design, develop, and optimize deep learning models for image/video analysis (object detection, segmentation) and audio classification tasks. Implement and fine-tune CNN architectures , Vision Transformers (ViT, Swin), and attention mechanisms (SE, CBAM, self/cross-attention). Process multi-modal data: Video : Apply spatiotemporal modeling (3D CNNs, temporal attention) Audio : Extract features (spectrograms, MFCCs) and build classification pipelines Utilize pretrained models (transfer learning) and multi-task learning frameworks. Optimize models for accuracy, speed, and robustness using PyTorch/TensorFlow. Collaborate with MLOps teams to deploy solutions into production. Required Skills Programming : Advanced Python (PyTorch/TensorFlow) Computer Vision : Vision Transformers (ViT, Swin, DeiT) Object detection (YOLO, SSD, Faster R-CNN, DETR) Video analysis (temporal modeling) Audio Processing : Feature extraction (MFCCs, spectrograms) and classification Modeling Expertise : Attention mechanisms (self/cross-attention, SE, CBAM) Transfer learning and fine-tuning Training strategies (LR scheduling, early stopping, data augmentation) Experience handling large-scale datasets and building data pipelines. Preferred Qualifications Exposure to multi-modal learning (combining vision/audio/text) Familiarity with R for statistical analysis Publications or projects in CVPR/NeurIPS/ICML This role is for a client of Hubnex Labs. Selected candidates will represent Hubnex while working directly with the client s AI team.

SDE 3 Backend AI Engineer About Teachmint: At Teachmint, we believe that education moves the world forward and deserves the best technology in this pursuit. We are a global classroom technology company empowering educators, students and institutions in over 50 countries. At the forefront of classroom innovation, Teachmint is transforming how education is delivered through its proprietary solutions Teachmint X, an AI-powered connected classroom device; EduAI, an intelligent AI companion that empowers educators and learners to become self reliant; and our interactive AI whiteboard technology, designed to blend intelligence with usability and elevate every moment of classroom interaction. We are redefining education infrastructure. Whether youre architecting backend systems, designing intuitive front-end experiences, improving deployment pipelines, driving business growth and brand visibility, or scaling user impact your work here directly shapes the future of education. If you re excited by the idea of building smart, scalable, and meaningful solutions in education, come create with us. Learn more: www.teachmint.com About the Role: Teachmint is seeking a highly skilled AI/ML engineer with strong backend experience to join our team. Youll be responsible for designing, developing, and maintaining scalable and efficient backend AI systems. Youll work closely with cross-functional teams to integrate AI capabilities into our products and services Key Responsibilities: Expertise on Agentic AI and hands on experience with multimodal LLMs. Design and develop backend AI systems: Create scalable and efficient backend systems that integrate AI capabilities, such as machine learning models, natural language processing, and computer vision. Develop and deploy AI models: Work with data scientists to develop and deploy AI models that meet business requirements. Ensure system reliability and performance: Design and implement systems that ensure high availability, scalability, and performance. Collaborate with cross-functional teams: Work closely with frontend engineers, product managers, and other stakeholders to integrate AI capabilities into products and services. Mentor junior engineers: Share knowledge and expertise with junior engineers and help them grow in their roles. Preferred requirements: Bachelors or Masters degree in Computer Science or related field 5+ years of experience in backend development Strong proficiency in programming languages, such as Python, Java, or C++ Experience with AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn Strong understanding of computer science fundamentals, including data structures, algorithms, and software design patterns Experience with cloud platforms, such as AWS, GCP, or Azure Strong problem-solving skills and attention to detail Nice to Have: Experience with containerization (Docker) and orchestration (Kubernetes). Knowledge of testing frameworks (e.g., Pytest, Unittest). Familiarity with CI/CD pipelines. Disclaimer: Kindly note that Teachmint Technologies is an equal-opportunity employer. We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees (including promotion, transfers, assignments and beliefs). Teachmint Technologies prohibits discrimination in the workplace whether on grounds of color, disability, marital status, nationality, race, religion, sex, sexual orientation, national or ethnic origins, religious belief, disability or age.

Role Job ID: CVE282506 Computer Vision Engineer Hyderabad Experience 3 to 5 Years Profile We are looking for a highly skilled Deep Learning Engineer to develop, implement, and optimize deep learning models. The ideal candidate will have expertise in neural networks, data processing, and model deployment to drive advanced AI solutions across various industries. Requirements Experience in development and implementation of computer vision products with a large scale data processing / analytics. Should have developed state of art AI/ML and DL applications/products. Experience working on TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, CNN, R-CNN, DNN, CuDNN, RNN, Mask R-CNN, YOLO, ResNext, GoogleNet, AlexNet, ResNet. SegNet, VGG Net, etc., Neural networks, frameworks and platforms. Solid programming skills with Python and C/C++. Good to have MatLAB experience. Should have used GPU computing (CUDA, OpenCL) and HPC Knowledge and experience in using pykafka, kafka broker, various messaging and steaming services. Hands on experience in developing efficient Computer Vision products. Should have extensive experience in cloud like AWS/Azure and Google. Implementation of research papers at the expected level of quality. Experience in using the dockerized container with micro services for deploying the applications. Experience in using the NoSQL databases. Ability to optimize the models to TensorRT and publishing for various edge devices. Hands-on experience in using and deploying optimized models for NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier and Raspberry Pi, other edge devices with DeepStream, GStream etc. Experience with Samsung Neural is an advantage. Responsibilities Own the product development milestone, ensure delivery to the architecture and identify challenges. Drive innovation in the product catering to successful initiatives and engineering best practices to be followed by core product development teams in the company. Developing, porting and optimizing computer vision algorithms and data structures on proprietary cores; Perhaps using design, implement, validate, and release applications. Involved in research and development effort of advanced product-critical computer vision components covering key product critical perception features such as feature extraction, tracking objects, sensor calibration. Solid foundation in computer vision: photogrammetry, multi-view geometry, visual SLAM, detection and recognition, 3D reconstruction. Write maintainable, reusable code, leveraging test-driven principles to develop high quality computer vision and machine learning modules. Visualization and solid understanding of deep neural networks. Experience with object detection, tracking, classification, recognition, scene understanding. Excellent knowledge on any/all of the given concepts in Computer Vision namely image classification, object detection and semantic segmentation developed using state of the art deep learning algorithms Experience/exposure to usage of open source technologies. Experience in owning technical architecture of the products, planning roadmaps and technically managing the team. Evaluate and advise on new technologies, vendors, products and competitors. Initiative and the ability to work independently and in a team. Must have managed teams but at the same time be a hands-on technology person. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.

Brief About Fractal : Fractal currently has 4000+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as Great Workplace and Indias Best Workplaces for Women in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020 & Specialized Insights Service Providers Wave 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an Honorable Vendor in 2022 Magic Quadrant for data & analytics by Gartner Inc. For more information, visit https://fractal.ai/ Job Summary: We are looking for an experienced Senior Consultant who will lead client projects in RGM for CPG. In this role, you will be responsible for maintaining, tuning, and upgrading the existing models, working closely with cross-functional teams to ensure successful data, modeling deployment. The ideal candidate will have deep understanding of the data science in CPG industry and RGM in particular. Context & Scope This role sits within our CPG practice, and reports into the RGM Client delivery lead at Fractal. We continue to deliver services in RGM to our clients, and this platform is to accelerate the setup & scale of that journey. This role must engage, influence and inspire wide variety of stakeholders internally from AI, Engineering & Design in order to drive collaboration and alignment. Knowledge/Skills 5+ years of work experience related to RGM data science, analytics in CPG domain. Creative thinker, Strategic thinking, Analytical and problem-solving skills Attention to details, Discipline, Active listening, Outstanding communication, presentation and leadership skills Organizational and time management skills. Management of stakeholders and their expectations Ability to design solution frameworks with minimal guidance and lead client discussions Strong knowledge of machine learning and statistical modeling techniques, with some exposure to cloud technologies such as Azure Databricks Experience with programming languages such as Python, Spark; or working closely teams who work with these programming languages Strong understanding of CPG data sources, algorithms, and software design principles, highly sensitive to algorithm complexity Key Responsibilities Maintain, refine/tune and upgrade the data science engine. Configure multiple AI pipelines and run the engine Use data wrangling and exploration to extract insights and relationships from the data Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics. Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems. Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. Work with engineering and design teams, RGM/CPG leadership to develop product requirements and user stories Lead technical and business discussions with the customers (mix of KPIs, metrics, data science, data engineering, domain discussions Customer management and PoV project management. Hold user and stakeholder workshops to show-case results, give overview of model functionality Lead a small group of DS developers in collaborate/streamline data science work with product, BA, MLOps Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support. Code development/redevelopment planning, provide direct support to DS developers in the execution. Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead. Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization. Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

Role: Gen AI Engineer Location: Hyderabad Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like 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. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Primine Software Private Limited is looking for Machine Learning Engineer to join our dynamic team and embark on a rewarding career journeyA Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems. 1.Developing and implementing ML algorithms: The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling.2.Building data pipelines: The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms.3.Creating and maintaining ML infrastructure: The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models.4.Testing and validating ML models: The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable.5.Troubleshooting ML systems: The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability.6.Deploying ML models: The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable.

Computer Vision Intern Employment type Full time Role Computer Vision Intern Hyderabad Experience 0 to 1 Year Profile We are looking for a passionate and motivated Computer Vision Intern to join our team. The ideal candidate will have a strong foundation in computer vision and machine learning concepts. This internship offers the opportunity to work on innovative projects, gain hands-on experience with real-world applications, and contribute to the development of cutting-edge computer vision solutions. Requirements Foundation knowledge and understanding of Deep Learning and Computer Vision. Read and implement research papers. Good in Data Structures and Algorithms. Intermediate proficiency in C++, Python and GIT. Worked on popular Deep Learning frameworks. Familiarity with Nvidia Jetson platform is a plus. Knowledge of Nvidia SDKs like Nvidia Deepstream, TensorRT is a plus. Responsibilities Be self-motivated and an individual contributor with a knack of not giving up. Contributing with the development team and product managers to proactively understand technical requirements, specifications and use cases. Be part of agile teams working in an agile environment, ensuring compliance with development methodology and technical processes. To sum it up- you ll understand business, formulate problems, extract relevant information, develop models, pilot and A/B test results. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.

We re Hiring: Freelance Digital Marketing & Content Strategist Remote | AI/LLM | ITMS | Site Shield About Futops: Futops Technologies is a fast-growing tech company innovating in AI, GenAI, Computer Vision, and Smart Infrastructure. Our flagship products ITMS (Intelligent Traffic Management System) and Site Shield (AI-based perimeter security) are transforming how cities manage traffic and how enterprises secure their operations. We re now looking to amplify our digital voice and boost market visibility and that s where you come in! Role Overview: We re seeking a freelance digital marketing & content strategist to craft engaging content, sharpen our brand presence, and drive visibility across LinkedIn, X (Twitter), and our website. What You ll Do: Develop monthly content strategies aligned with business goals Create 6-8 high-impact content pieces/month (posts, microblogs, infographics) Recommend platform usage, hashtags, timing, and optimization tips Collaborate with tech teams for product accuracy Track performance & continuously improve engagement What We re Looking For: 4+ years in B2B marketing (AI/ML, SaaS, or deep-tech preferred) Strong storytelling & visual content skills Familiar with SEO, LinkedIn strategy, and performance tracking Self-driven, creative, and detail-oriented Trial Task (Mandatory for Shortlisting): Create a LinkedIn post (150-300 words) + visual concept idea for any one of: ITMS (AI-based Traffic Management) Site Shield (AI-based Perimeter Surveillance) LLM-powered enterprise automation Submit your draft in PDF or Word (Canva links welcome!). Engagement Details: Type: Freelance (Remote) Duration: Long-term (starts with 1-month trial) Perks: Performance-based bonus for high-impact campaigns Why Join Futops? You ll work with a visionary team solving real-world problems at scale from AI-led traffic control to automation in enterprises. Your content will shape how deep-tech is seen across India and beyond.

We are seeking seasoned Python developers to assist in a large-scale code conversion project. The project involves transforming a legacy codebase of image processing and deep learning computer vision algorithms from MATLAB to Python. The initial conversion has been performed using state-of-the-art AI capabilities (LLMs), and we now require human expertise to create a working code base. Duties and Responsibilities: Review and compare LLM converted Python code against original MATLAB code Debug syntax errors and correct logical inconsistencies in the Python code Ensure output consistency between MATLAB and Python implementations Implement proper error handling and logging mechanisms Develop comprehensive unit tests and integration tests Create clear and concise documentation for the converted code Optimize code for performance and readability wherever necessary Collaborate with team members to ensure end-to-end functionality Prepare code for containerization using Docker Adhere to best practices in software development and version control Minimum Qualifications: (To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.) Knowledge, Skills and Abilities: Strong proficiency in Python programming with 6+ years of experience Familiarity with MATLAB syntax and conventions Strong problem-solving and debugging skills Experience with version control systems (e.g., Git) Familiarity with Docker and containerization concepts Experience in code conversion projects Familiarity with scientific computing libraries (e.g., NumPy, SciPy) Knowledge of software testing frameworks (e.g., pytest) Experience with continuous integration and deployment (CI/CD) pipelines Understanding of software development best practices and design patterns Implement proper logging mechanisms for easier debugging and monitoring Create comprehensive unit tests and integration tests to ensure code reliability Develop clear and concise documentation, including inline comments and README files Optimize code for performance, considering Python-specific best practices Ensure code adheres to PEP 8 style guidelines Implement type hinting for improved code readability and maintainability Create requirements.txt files for each repository to manage dependencies Participate in code reviews to maintain high code quality standards Provide regular progress reports and participate in team meetings Optional requirements: Experience with image processing and computer vision libraries (e.g., OpenCV, scikit-image) Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Understanding of mathematical concepts related to image processing and computer vision Python, Matlab

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning The role is applicable for women candidates only. D&I Disclaimer: We are committed to fostering a diverse and inclusive workplace that values and celebrates differences. We believe that diversity in all its forms enriches our organization, promotes innovation, and drives success. We are dedicated to providing equal opportunities for all individuals, regardless of discrimination of any kind, including but not limited to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, neurodiversity, or veteran status. Our commitment extends to embracing all forms of diversity. We actively encourage candidates from diverse backgrounds to apply and join us in shaping a more inclusive future together

Role – Gen AI Engineer - Python Location - Hyderabad Mode of Interview - Virtual Interview Data - 5th June 2025 (Saturday) Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like 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. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

As an Advanced AI Engineer here at Honeywell, you will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. You will be responsible for acting as the subject matter expert for technical AI projects and provide direction on exploring and implementing methodologies and best practices. In this role, you will impact critical AI initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of AI technology within a company known for its commitment to excellence. Lets shape the future together! At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture. YOU MUST HAVE Bachelor s degree from an accredited institution in Computer science, AI, Electronics, Electrical, Mathematics or related fields. 5+ years building and deploying production-grade ML models. Expertise in designing and training advanced DNNs for Computer Vision and GenAI. Applied experience with Transformers, CNNs, GANs, and Diffusion Models. Mastery of Python, PyTorch, and TensorFlow. Skilled in key libraries: Hugging Face (Transformers, Diffusers), OpenCV, LangChain, LangGraph. Hands-on with MLOps tools: MLflow, Docker, Kubernetes. Proficient with cloud AI services on AWS, GCP, or Azure. Experience with high-performance inference optimization using frameworks like NVIDIA TensorRT, ONNX Runtime, or OpenVINO to accelerate model deployment is a plus. WE VALUE Advanced degrees in Computer Science (CS), AI, Electronics and/or Electrical Engineering (EE), Mechanical Engineering (ME), or related fields Strong leadership and management skills Experience working in an agile development environment. Proven ability to drive successful cloud development projects and initiatives. Ability to work in a fast-paced and dynamic environment. Attention to detail and excellent problem-solving capability. Ability to solve complex problems from first principles. Clear communication of technical ideas to any audience. A collaborative mindset that elevates the entire team. YOU MUST HAVE Bachelor s degree from an accredited institution in Computer science, AI, Electronics, Electrical, Mathematics or related fields. 5+ years building and deploying production-grade ML models. Expertise in designing and training advanced DNNs for Computer Vision and GenAI. Applied experience with Transformers, CNNs, GANs, and Diffusion Models. Mastery of Python, PyTorch, and TensorFlow. Skilled in key libraries: Hugging Face (Transformers, Diffusers), OpenCV, LangChain, LangGraph. Hands-on with MLOps tools: MLflow, Docker, Kubernetes. Proficient with cloud AI services on AWS, GCP, or Azure. Experience with high-performance inference optimization using frameworks like NVIDIA TensorRT, ONNX Runtime, or OpenVINO to accelerate model deployment is a plus. WE VALUE Advanced degrees in Computer Science (CS), AI, Electronics and/or Electrical Engineering (EE), Mechanical Engineering (ME), or related fields Strong leadership and management skills Experience working in an agile development environment. Proven ability to drive successful cloud development projects and initiatives. Ability to work in a fast-paced and dynamic environment. Attention to detail and excellent problem-solving capability. Ability to solve complex problems from first principles. Clear communication of technical ideas to any audience. A collaborative mindset that elevates the entire team. Key Responsibilities Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness. Collaborate with cross functional teams to integrate AI solutions seamlessly into existing systems and processes. Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives. Lead the end-to-end AI development lifecycle, including project planning, resource allocation, and monitoring progress. Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation , and technical excellence. Key Responsibilities Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness. Collaborate with cross functional teams to integrate AI solutions seamlessly into existing systems and processes. Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives. Lead the end-to-end AI development lifecycle, including project planning, resource allocation, and monitoring progress. Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation , and technical excellence.

Role & responsibilities: Strong understanding of Python data types and Object-oriented programming. Understanding of the Machine Learning algorithms. (Supervised, Semi-supervised and unsupervised) Understanding different integrations touch points in ML delivery. Should anchor Pilot/MVP/Production Machine learning use case delivery for deployments on cloud as well as open source. Familiar with computer vision and NLP. Mine & analyze the data using state of the arts methods. Develop and implement custom data models and algorithms to apply to datasets. Collaborative mindset with strong verbal and written communication skills. Experience to work in Agile and DevOps processes. Open to learn newer technologies. Preferred candidate profile: Must know Machine Learning Minimum 1 to 2 years of experience is required

About the job We are seeking a highly skilled and motivated AI-ML Lead with expertise in Generative AI and LLMs to join our team. As a Generative AI and LLM Expert, you will play a crucial role in developing and implementing cutting-edge generative models and algorithms to solve complex problems and generate high-quality outputs. You will collaborate with a multidisciplinary team of researchers, engineers, and data scientists to explore innovative applications of generative AI across various domains. Responsibilities: Research and Development: Stay up-to-date with the latest advancements in generative AI, including LLMs, GPTs, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other related techniques. Conduct research to identify and develop novel generative models and algorithms. Model Development: Design, develop, and optimize generative models to generate realistic and diverse outputs. Implement and fine-tune state-of-the-art generative AI architectures to achieve desired performance metrics. Data Processing and Preparation: Collect, preprocess, and curate large-scale datasets suitable for training generative models. Apply data augmentation techniques and explore strategies to handle complex data types and distributions. Training and Evaluation: Train generative models using appropriate deep learning frameworks and libraries. Evaluate model performance using quantitative and qualitative metrics. Iterate and improve models based on feedback and analysis of results. Collaboration: Collaborate with cross-functional teams, including researchers, engineers, and data scientists, to understand project requirements, define objectives, and identify opportunities to leverage generative AI techniques. Provide technical guidance and support to team members. Innovation and Problem Solving: Identify and tackle challenges related to generative AI, such as mode collapse, training instability, and generating diverse and high-quality outputs. Propose innovative solutions and approaches to address these challenges. Documentation and Communication: Document research findings, methodologies, and model architectures. Prepare technical reports, papers, and presentations to communicate results and insights to both technical and non-technical stakeholders. Requirements: Education: A Master's or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field. A strong background in deep learning, generative models, and computer vision is preferred. Experience: Proven experience in designing and implementing generative models using deep learning frameworks (e.g., TensorFlow, PyTorch). Demonstrated expertise in working with GPTs, GANs, VAEs, or other generative AI techniques. Experience with large-scale dataset handling and training deep neural networks is highly desirable. Technical Skills: Proficiency in programming languages such as Python, and familiarity with relevant libraries and tools. Strong mathematical and statistical skills, including linear algebra and probability theory. Experience with cloud computing platforms and GPU acceleration is a plus. Research and Publication: Track record of research contributions in generative AI, demonstrated through publications in top-tier conferences or journals. Active participation in the AI research community, such as attending conferences or workshops, is highly valued. Analytical and Problem-Solving Abilities: Strong analytical thinking and problem-solving skills to tackle complex challenges in generative AI. Ability to think creatively and propose innovative solutions. Attention to detail and the ability to analyze and interpret experimental results. Collaboration and Communication: Excellent teamwork and communication skills to effectively collaborate with cross-functional teams. Ability to explain complex technical concepts to both technical and non-technical stakeholders. Strong written and verbal communication skills. Adaptability and Learning: Enthusiasm for staying updated with the latest advancements in AI and generative models. Willingness to learn new techniques and adapt to evolving technologies and methodologies.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre Limited, with 1-6 years of experience in the field. The ideal candidate will have a strong background in Biotechnology and be proficient in MRI technology. Roles and Responsibility Operate and maintain MRI machines for optimal performance. Prepare patients for procedures and ensure their safety during scans. Interpret images and provide preliminary reports to doctors. Collaborate with radiologists to diagnose medical conditions. Maintain accurate records of patient information and scan results. Stay updated with new technologies and techniques in MRI imaging. Job Requirements Proficient in MRI technology and its applications. Strong understanding of biotechnology principles and medical imaging concepts. Excellent communication skills for interacting with patients and healthcare professionals. Ability to work effectively in a fast-paced environment and prioritize tasks. Strong analytical skills for interpreting complex data. Familiarity with medical terminology and diagnostic procedures.

Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

Position Overview: We are seeking an experienced AI Trainer with expertise in Generative AI to join our team. The ideal candidate should have a minimum of 2 years of experience in AI Development. As an AI Trainer, you will be responsible for designing and delivering training programs, workshops, and educational materials to help individuals and teams develop their skills in AI and machine learning, including Generative AI. Key Responsibilities: Develop and deliver AI training programs, workshops, and educational materials for various audiences, including software developers, data scientists, and business professionals. Design and implement curriculum and training materials covering topics such as machine learning algorithms, deep learning frameworks like PyTorch-TensorFlow, natural language processing, computer vision, Generative AI, and AI ethics. Deliver engaging and interactive training sessions, both in-person and virtually, that cater to different learning styles and levels of expertise. Provide guidance and support to participants during hands-on exercises, projects, and assignments to reinforce learning and skills development. Stay updated on the latest trends, tools, and technologies in AI and machine learning, particularly in Generative AI, and incorporate them into training programs as appropriate. Collaborate with other team members, subject matter experts, and stakeholders to continuously improve and refine training content and delivery methods. Evaluate the effectiveness of training programs through assessments, feedback, and performance metrics and make recommendations for improvement. Requirements: Bachelor's degree or higher in computer science, engineering. Minimum of 2 years of experience in AI Development, including experience with machine learning algorithms, deep learning frameworks, Generative AI, and AI development tools. At least 1 year of experience specifically in training others in the field of artificial intelligence, either in a corporate training setting, academic environment, or as a freelance trainer would be preferred. Strong communication and presentation skills, with the ability to explain complex technical concepts in a clear and concise manner. Passion for teaching and mentoring others, with a focus on fostering a collaborative and supportive learning environment. Proven ability to design and deliver engaging and effective training programs that meet the needs of diverse audiences. Experience with instructional design principles, adult learning theory, and instructional technologies is a plus.

We are seeking a motivated AI/ML and Python Developer with 6 years + of experience to join our team. The ideal candidate will have a strong foundation in AI/ML technologies, Python programming, and a passion for solving complex problems. Key Responsibilities: Develop, deploy, and maintain AI/ML models and solutions. Integrate and optimize Large Language Models (LLMs) and Generative AI (Gen AI) technologies. Design and implement AI agents for automation and decision-making tasks. Collaborate with cross-functional teams to deliver scalable AI-driven solutions. Technical Requirements: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with Gen AI, LLM integration (e.g., OpenAI GPT, Hugging Face), and AI agent development. Familiarity with data preprocessing, model training, and evaluation techniques. Knowledge of REST APIs, cloud platforms (e.g., AWS, GCP), and version control (e.g., Git). Understanding of NLP , computer vision, or reinforcement learning is a plus. Preferred Qualifications: Hands-on experience with Gen AI tools and frameworks. Must Have Good Command over LLM - NLP Techniques Proven ability to work on end-to-end AI/ML projects. Strong problem-solving and communication skills.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre in the healthcare industry. The ideal candidate will have 2-5 years of experience and be responsible for operating MRI machines, ensuring patient safety, and providing high-quality diagnostic services. Roles and Responsibility Operate and maintain MRI machines for optimal performance. Ensure patient safety during procedures and provide emotional support. Collaborate with radiologists to interpret images and make accurate diagnoses. Maintain accurate records of patient information and procedure details. Participate in quality control measures to improve patient care. Stay updated on new technologies and techniques in MRI imaging. Job Requirements Minimum 2 years of experience in an MRI setting or related field. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication and interpersonal skills. Familiarity with hospital policies and procedures. Commitment to delivering high-quality patient care.

Looking for skilled Senior Technicians to join our team at Vijaya Diagnostic Centre in the healthcare industry. The ideal candidate will have a strong background in X-Ray technology and 2-4 years of experience. Roles and Responsibility Operate and maintain X-Ray equipment for optimal performance. Prepare patients for procedures, explain protocols, and ensure patient comfort. Take high-quality images and interpret results accurately. Maintain accurate records of patient information and procedure details. Collaborate with other medical professionals to provide comprehensive care. Stay updated on the latest advancements in X-Ray technology and techniques. Job Requirements Minimum 2 years of experience in X-Ray technology or related field. Strong knowledge of X-Ray principles, protocols, and procedures. Excellent communication and interpersonal skills. Ability to work effectively in a fast-paced environment. Strong attention to detail and analytical skills. Familiarity with medical imaging software and equipment.

We are looking for a highly skilled and experienced Assistant to join our Imaging Services team at Vijaya Diagnostic Centre. The ideal candidate will have 2-5 years of experience in the healthcare industry, preferably in imaging services. Roles and Responsibility Assist in planning and implementing imaging protocols for various medical procedures. Operate and maintain imaging equipment, including CT, MRI, and ultrasound machines. Prepare patients for imaging procedures and ensure their safety and comfort during procedures. Collaborate with radiologists and other healthcare professionals to interpret imaging results. Maintain accurate records of patient information and imaging results. Participate in quality control and quality assurance activities to improve imaging services. Job Requirements Minimum 2 years of experience in imaging services or a related field. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment and prioritize tasks. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle sensitive information. Familiarity with hospital policies and procedures is an asset.