-------------- UNPAID INTERNSHIP -------------- Are you passionate about cutting-edge technologies and looking to gain hands-on experience in machine vision and industrial automation? At Volcan Vision and Automation, we are seeking a talented App Developer Intern to help create a desktop application for machine vision systems. Responsibilities: Develop a desktop application to interface with machine vision cameras and PLCs. Integrate image acquisition from machine vision cameras into the application. Implement Python-based deep learning models for real-time image inspection. Establish Ethernet communication between the application and Delta PLC for data exchange. Display input images, inspection results, and real-time feedback on the application interface. Debug and optimize application performance for industrial deployment. Required Skills: Qualifications - 3rd Year Student Programming Languages: Proficiency in Python, with knowledge of libraries like OpenCV, TensorFlow, or PyTorch. Desktop App Development: Familiarity with frameworks like PyQt Deep Learning: Experience in integrating and deploying trained models for image inspection. Prior experience with developing desktop apps. Preferred Qualifications: Networking: Knowledge of Ethernet communication protocols for interfacing with PLCs. Industrial Automation: Basic understanding of PLCs and industrial communication standards. Understanding of image processing concepts. Knowledge of Computer Vision Algorithms Understanding of AI concepts, including deep learning and CNNs Knowledge of Network Engineering Perks and Benefits: Completion Certification: Recognizing your contribution to our innovative projects. Bonuses: Performance-based financial incentives. Learning Opportunities: Gain hands-on experience in machine vision, automation, and AI. Networking: Collaborate with experienced professionals in a growing industry. Duration: The internship duration is 3-6 months (Flexible), with the possibility of extending or converting into a full-time opportunity based on performance. Location: Remote Ready to take on this exciting challenge and accelerate your career in machine vision and automation? Apply now and be part of our innovative journey! 3 Opportunities: AI-ML Intern Desktop App Dev Intern Network Engineer Intern Note: This is an Unpaid internship, intended to provide valuable real-world experience in a specialized industrial domain. Outstanding performers may be offered bonuses or a paid opportunity in the future. Show more Show less

Architecting scalable, end-to-end machine learning systems that solve complex business problems. Strong knowledge on data structures, algorithms, and system design and selection of appropriate models, frameworks, and deployment strategies. Required Candidate profile Minimum 5 years in ML. Skilled in Python, NLP (BERT, Transformers).Experience in leveraging Computer Vision and OCR in document extraction use cases

Job Summary: We are seeking a highly skilled Data Scientist with deep expertise in Computer Vision, particularly with YOLO (You Only Look Once) object detection models. The ideal candidate will have experience in designing, training, and deploying YOLO-based solutions for real-time or near real-time applications. You will collaborate with cross-functional teams to develop AI models that drive innovation and efficiency across our products and platforms. Key Responsibilities: Develop and deploy state-of-the-art object detection models using YOLO (v5/v6/v7/v8). Design and execute computer vision experiments for image and video analysis, including detection, tracking, and classification. Collect, preprocess, and annotate image and video datasets tailored for computer vision tasks. Optimize model performance for deployment on edge devices, cloud services, or embedded systems. Work closely with data engineers and MLOps teams to integrate models into production pipelines. Continuously evaluate and improve models using techniques such as transfer learning, pruning, quantization, and A/B testing. Stay updated with the latest research and advancements in computer vision and deep learning. Required Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Electrical Engineering, or related field (PhD preferred). 5+ years of experience in computer vision, with a focus on object detection. Proven hands-on experience with YOLO (v5 or later), including custom training and deployment. Proficient in Python and deep learning libraries such as PyTorch, TensorFlow, or OpenCV. Experience working with GPU acceleration and cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP AI Platform). Strong understanding of CNNs, image augmentation, model evaluation metrics, and visual debugging.

Visionify is working on bringing the power of Computer Vision and AI for everyday use-cases. We are looking to hire a strong, motivated and enthusiastic Sr. Computer Vision Engineer to execute our roadmap. As a Sr. Computer Vision Engineer, you will be working on the state-of-the art challenges in the field of Computer Vision & solving them with novel algorithms and optimizations. Majority of our work is focused on applied Computer Vision - so a good understanding of current state of the art of models (Classification, Object detection, Object Recognition, OCR, LayoutML, GAN etc networks). You will be working on Pytorch as primary language - so prior demonstrated knowledge of Pytorch is must for this position. Any experience with Azure, Azure ML Studio framework etc., would also be preferable. Candidates are expected to stay current with the latest features and contribute to the open-source Pytorch project with a focus on performance and accuracy improvements. You deeply understand the PyTorch framework and underlying implementations to solve customer challenges., and provide insights into how key issues affect the product. Many of our models get deployed to the edge - so experience in optimizing and pruning models, converting models to NVIDIA TensorRT etc would be preferable. You must possess excellent Python coding skills - as Python is used throughout our organization to build training and inference pipelines. Candidates should have excellent communication and presentation skills. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities: Understanding business objectives and developing Computer Vision based solutions that help achieve it. The software could involve training framework, inference framework, working with different technologies for ML. You will build models and solutions with Pytorch. You will optimize the Pytorch models for different runtime environments including NVIDIA Jetson TensorRT. Guide the development team with their works, unblock their questions, help accelerate their deliverables.Developing ML/Computer Vision algorithms that could be used to solve a given problem. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Develop processes for different common operations of the team: data acquisition, model training, prototype development. Finding open-source datasets for prototype development. Develop pipelines for data processing, augmentation, training, inference and active retraining. Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Requirements: Bachelors/Masters degree in Computer Science/Computer Engineering/IT or related fields. 5+ years of experience. Exceptional candidates with less experience are welcome to apply. Industry experience working in Image & Video Processing (OpenCV, GStreamer, Tensorflow, PyTorch, TensorRT, Model Training/Inference, Video Processing Pipelines, Different GStreamer Convertors etc). Sound knowledge of various deep learning classification models including ResNet, Inception, VGG etc and object detection models including MobileNetSSD, Yolo, FastRCNN, MaskRCNN etc. Good knowledge of Pytorch, Torchvision, writing training routines. Ability to update models, add/drop features, visualize how the model is performing etc. Experience in Colab and Jupyter Notebook Familiarity with CUDA/GPU Knowledge of CNN visualization techniques such as CAM, GradCAM etc. Strong understanding of Computer Vision and Real-time Video Processing techniques. Strong experience with Python and writing reusable code. Experience working with OpenCV and Scikit packages. Experience with the NVIDIA platform (NVIDIA Deepstream, TensorRT). Experience with Python web framework, e.g. Flask, Django or FastAPI Experience with different ML platforms: PyTorch, TensorFlow. Proficiency with AWS SageMaker Experience with databases (Elasticsearch, SQL, NoSQL, Hive, …) Experience in a cloud environment for software development and deployment (AWS preferred) Experience with utilising various GPU-based training infrastructures. Experience with Docker Knowledge of DevOps and MLOps best practices for production Machine Learning systems. Desired Traits: Thrive in a collaborative environment. Flexible with changing requirements. Come up with innovative solutions. Keen focus on work quality & developing robust code.

We're looking for a hands-on Computer Vision Engineer who thrives in fast-moving environments and loves building real-world, production-grade AI systems. If you enjoy working with video, visual data, cutting-edge ML models, and solving high-impact problems, we want to talk to you. This role sits at the intersection of deep learning, computer vision, and edge AI — building scalable models and intelligent systems that power our next-generation sports tech platform. Key Responsibilities Design, train, and optimize deep learning models for real-time object detection, tracking, and video understanding. Implement and deploy AI models using frameworks like PyTorch, TensorFlow/Keras, and Transformers. Work with video and image datasets using OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib. Collaborate with data engineers and edge teams to deploy models on real-time streaming pipelines. Optimize inference performance for edge devices (Jetson, T4, etc.) and handle video ingestion workflows. Prototype new ideas rapidly, conduct A/B tests, and validate improvements in real-world scenarios. Document processes, communicate findings clearly, and contribute to our growing AI knowledge base. Requirements Strong command of Python and familiarity with C/C++. Experience with one or more deep learning frameworks: PyTorch, TensorFlow, Keras. Solid foundation in YOLO, Transformers, or OpenCV for real-time visual AI. Understanding of data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc. Good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques. Exposure to video streaming workflows (e.g., GStreamer, FFmpeg, RTSP). Ability to write clean, modular, and efficient code. A self-starter and builder at heart — comfortable with ambiguity and fast execution. Passionate about solving real-world problems using AI. Comfortable working in a startup culture: lean teams, rapid iteration, high ownership. A collaborative team player who’s curious, coachable, and open to feedback. Undergraduate degree (Master’s or PhD preferable) in Computer Science, Artificial Intelligence, or a related discipline is preferred. A strong academic background is a plus. Nice To Have Experience deploying models in production, especially on GPU/edge devices. Interest in reinforcement learning, sports analytics, or real-time systems. About Company: We are a young startup developing our own indigenous sports analytical platform called TECH AT PLAY. It is the ultimate analytics ecosystem for athletes, It automatically records, categorizes, and analyzes performance while live-streaming the game to sports fans across the globe, all from a single platform. Show more Show less

About The Role We are looking for an experienced Senior Python Developer to join our digital transformation team in the print media sector. In this role, you will be instrumental in modernizing legacy systems, automating editorial workflows, integrating content management platforms, and building scalable tools that bridge the gap between print and digital publishing. This is an exciting opportunity to help a traditional media organization innovate through technology. Key Responsibilities Design and build backend services and tools to support editorial, layout, and publishing workflows. Develop and maintain Python-based applications that handle content ingestion, formatting, and scheduling for both print and digital outputs. Integrate third-party APIs and internal systems such as CMS, DAM, and advertising platforms. Automate PDF generation, print layouts, pagination tools, and archive systems. Optimize systems for performance, reliability, and scalability under daily publishing deadlines. Collaborate with editors, designers, and product teams to ensure technology aligns with newsroom needs. Mentor junior developers and contribute to code quality and best practices across the team. Required Skills & Qualifications 5+ years of experience with Python, including Django or similar framework. Strong experience in Developing and managing CMS-based platforms using Django-CMS or Wagtail. Familiarity with print production tools and formats (PDF generation, InDesign scripting, XML/HTML to print workflows). Proficiency with RESTful APIs and integration of third-party services (e.g., syndication feeds, ad networks). Solid understanding of relational databases (PostgreSQL, MySQL) and basic DevOps (Docker, Git, CI/CD). Design and implement RESTful APIs and backend services for web/mobile applications. Build and integrate AI and ML components, especially in image classification, face/object detection, or recommendation systems. Work with image and video processing tools to support media-rich applications. Experience building internal tools for editorial, Ad-Sales, Circulation, Finance etc. Excellent problem-solving skills, attention to detail, and the ability to work under tight deadlines. Technical Skills Backend Development : Python, Django, Django Rest Framework (DRF), Flask API Development : RESTful APIs, GraphQL, AI/ML Integration : OpenCV, TensorFlow, PyTorch, scikit-learn Image & Video Processing : OpenCV, PIL, FFmpeg, MediaPipe Databases : PostgreSQL, MySQL, SQLite, MongoDB Cloud & DevOps : GCP, Docker, Git Frontend Collaboration : HTML, CSS, JavaScript, React (basic) Tools : Postman, Swagger, GitHub Project Management : Agile/Scrum, Jira Preferred Qualifications Prior experience in the newspaper, magazine, or publishing industry. Degree in Computer Science, Information Systems, or related field. (ref:hirist.tech) Show more Show less

Professional Summary Experienced and versatile Senior Full Stack Developer with 6 to 8 years of expertise in building scalable, secure, and dynamic web applications. Proficient in frontend and backend technologies, API development, AI-driven functionalities, and media-intensive features such as image and video processing. Skilled in developing CMS-based solutions, integrating AI/ML models, and coordinating directly with business stakeholders, UI/UX teams, and DevOps for end-to-end product development. Core Competencies Frontend Development : HTML5, CSS3, JavaScript (ES6+), Bootstrap, React.js Responsive and cross-browser design REST API & GraphQL integration Backend Development Node.js, Django, Python PostgreSQL, MongoDB, MySQL Redis, Kafka AI & Media Work AI/ML Integration using TensorFlow, PyTorch, or scikit-learn Image & Video Processing using OpenCV, FFmpeg, PIL Face detection, object recognition, media tagging pipelines DevOps & Tools GCP, Docker, Git, CI/CD pipelines, Version Control (GitHub/Bitbucket) Roles & Responsibilities Design, develop, and maintain full stack applications across multiple platforms. Build robust and reusable APIs for internal and external use. Implement AI-driven features such as recommendation systems, classification engines, or computer vision components. Manage image and video processing pipelines for media-rich applications. Develop custom CMS solutions tailored for content-heavy websites or SaaS platforms. Collaborate with UI/UX designers, frontend/backend developers, QA engineers, and DevOps teams. Communicate directly with business owners and product managers to gather requirements and translate them into functional deliverables. Ensure performance, scalability, and security best practices in development and deployment. Mentor junior developers, perform code reviews, and lead technical discussions. Educational Qualification Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. (ref:hirist.tech) Show more Show less

JOB Description- Senior SW Developer Key responsibility: •Component Lead/Component Architecture •SW Development Key Qualifications: ·10-15+ years of experience in software development techniques ·Hands-on software development experience in C, Python or C++. ·Experience with container Management and Orchestration (e.g. Kubernetes K8s, K3s) for SW Application lifecycle management ·Experience with Infrastructure tools (Jenkins, JIRA, Python, ….) ·Knowledge about AI techniques ·Experience with Machine Learning frameworks (e.g. OpenVino, Tensorflow, Scikit-Learn) ·Familiarity with embedded Linux distributions ·Experience with software product life cycle, Agile methodologies, ·Ability to work with distributed teams, in different time zones ·Cloud native SW application development (e.g. AWS, Azure) ·Computer Vision (e.g. OpenCV) Show more Show less

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

Role – AIML Data Scientist Job Location : Hyderabad Mode of Interview - Virtual Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks concerning responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical and responsible standards, contributing to the development of AI systems that prioritize societal well-being and integrity. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure alignment on responsible AI practices.- Conduct regular audits of AI systems to identify areas for improvement in ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with AI ethics frameworks.- Strong understanding of machine learning principles and their implications for responsible AI.- Familiarity with regulatory requirements related to AI and data usage.- Experience in developing and implementing ethical guidelines for AI systems. Additional Information:- The candidate should have minimum 2 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. A typical day involves evaluating AI systems and implementing strategies to uphold ethical standards. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Develop and implement responsible AI frameworks.- Conduct audits on AI systems to ensure compliance with ethical standards.- Lead initiatives to promote responsible and sustainable AI practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of AI ethics and responsible practices.- Experience in implementing technology mitigation strategies for AI systems.- Knowledge of AI governance frameworks.- Familiarity with AI bias detection and mitigation techniques. Additional Information:- The candidate should have a minimum of 12 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Exclusive Opportunity for Indias MLOps Experts! Soul AI (by Deccan AI) is hiring top-tier MLOps Engineers for high-paying contract & freelance roles What You Get: Market-leading compensation Flexible contracts (2"“12 months) Remote & hybrid work options Collaborate with AI leaders on cutting-edge projects Your Responsibilities: Build & automate ML pipelines (Kubeflow, MLflow, Airflow) Develop & optimize CI/CD workflows Deploy ML models at scale with Docker, Kubernetes, cloud ML platforms Implement monitoring & governance frameworks Must-Have Skills: Python, TensorFlow, PyTorch AWS, GCP, Azure ML expertise CI/CD, monitoring, data versioning knowledge Join our Expert Community & unlock premium AI job opportunities!

Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines Design, develop & deploy Deep learning models using TensorFlow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource TensorFlow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State-of-the-art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Show more Show less

We are looking for a talented Computer Vision Engineer to join our innovative team. In this role, you will have the opportunity to work on challenging problems, leveraging both deep learning and classical computer vision techniques. By joining us, you will have a significant impact on the development of cutting-edge technologies, work alongside a highly skilled and collaborative team, and advance your career by tackling exciting real-world projects. Responsibilities Develop computer vision solutions for machine learning applications. Design deep learning models using frameworks like PyTorch, TensorFlow, and OpenCV. Implement algorithms for object detection, segmentation, classification, and tracking. Work with large datasets for image processing and develop scalable models. Deploy models on edge devices to optimize inference efficiency and resource utilization. Collaborate with data scientists to understand project requirements and deliver solutions. Implement and evaluate model performance to ensure accuracy and efficiency. Stay up to date with the latest techniques in deep learning and classical computer vision. Requirements Bachelor's degree in Computer Science, Electrical Engineering, or related field. 3-5 years of experience in computer vision. Strong skills in Python and experience with deep learning frameworks like PyTorch and TensorFlow. Experience with computer vision libraries such as OpenCV. Proficiency in classical computer vision techniques, including SIFT, SURF, feature extraction, image manipulation, and calibration. Experience in deploying models to edge devices for real-time computer vision applications. Strong understanding of Data Structures and Algorithms (DSA) with hands-on coding experience. Strong experience working with large-scale datasets. Excellent communication and collaboration skills. Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure). Familiarity with Docker, containerization, and REST APIs. Experience with model deployment to production environments. Understanding of software development methodologies and version control. This job was posted by Manikanta Reddy from Inito. Show more Show less

An AI Engineer designs, develops, and implements artificial intelligence systems and applications that can simulate human intelligence processes through the creation and validation of algorithms, neural networks, and other machine learning techniques

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

Job Title: Python Full Stack Developer Company: Phloem Weddings Location: Kottayam, Kerala (On-site preferred) Job Type: Full-Time About Us: Phloem Weddings is a creative studio based in Kottayam, combining visual storytelling with powerful digital tools to deliver exceptional wedding experiences. We are expanding our in-house tech team and are looking for a skilled Full Stack Developer to help build our next generation of tools and platforms. Key Responsibilities: Develop and maintain full-stack applications using Python Design backend services and APIs using Node.js Build dynamic and responsive UIs with ReactJS Manage databases with MongoDB Handle media storage and serverless operations using AWS S3 and Lambda Implement and optimize image processing workflows using Python (e.g., OpenCV, PIL) Collaborate with the team to design and deliver performance-optimized features Mandatory Requirements – Experience in the following is a MUST: Node.js MongoDB AWS (S3 and Lambda) Image Processing using Python ReactJS Candidates without proven experience in the above areas will not be considered. Qualifications: Minimum 2 years of professional experience in full stack development Strong understanding of RESTful APIs, async programming, and web architecture Ability to write clean, maintainable code and follow best practices Experience working with media-heavy or image-based platforms is a plus Work Mode: On-site at our Kottayam office preferred Hybrid/remote option may be available for highly qualified candidates How to Apply: Send your resume and links to relevant projects via WhatsApp to + 91 9847702021 or hr@phloemweddings.com We’re looking for developers who are ready to take ownership, innovate, and grow with us. Job Type: Full-time Benefits: Cell phone reimbursement Schedule: Day shift Work Location: In person

Responsibilities · Work plan development for the Image processing project · Geometric modeling and numerical simulation of the project prototype · Handling design, analysis and development of the algorithm · Data exploration through scientific methods · Maintaining a record of field observations during development phase · Image processing software documentation · Monitoring the Image processing software performance periodically after every updates · Enhancing the existing methodologies · Feature updating for the existing products Qualifications : B.Tech (or) B.E. - Electronics and Communication Engineering Candidates requirements · Experience in design and development of algorithm · Hands on experience in conventional image processing and pattern recognition algorithms · Strong experience of Python programming language · Strong working knowledge of Matlab, Opencv tools · Knowledge in linear algebra · Good analytics and problem solving skills Relevant Tools and Libraries - OpenCV, PCL (Point Cloud Library), Open3D, ROS, MATLAB - Blender, Meshlab, CloudCompare (optional) - Python, C++, CUDA - scikit-image, NumPy, PIL Core Competencies 1. 3D Vision & Estimation - 3D Scanning / Reconstruction, Point Cloud Processing, SLAM, Photogrammetry, Pose Estimation, Angle Estimation, Sensor Fusion, Camera Calibration. 2. Image Processing - Edge Detection (Canny, Sobel, Laplacian), Pattern Recognition (Template Matching, HOG, SIFT, etc.), Image Segmentation, Morphological Operations, Image Registration, Object Tracking, Histogram Equalization / Contrast Enhanceme. Show more Show less

Position: AI/ML Lead (CE80SF RM 3261) Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios Technical Skills required: Solid Experience in Time Series Analysis, Anomaly Detection and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), • Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Candidate Roles and Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: Noida Experience: 8+ years Notice period: 0-15 days

Position: AI/ML Developer (CE58SF RM 3260) Candidate Roles and Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Technical Skills required: Solid Experience in Time Series Analysis, Anomaly Detection and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: AhmedabadIndorePune Experience: 5 - 8 Years Notice period: 0-15 days

Job Title: Computer Vision & AI/ML Engineer Location: Katargam, Surat Job Type: Full-Time Experience: Minimum 2 Years Salary: Based on Interview Performance About the Role: We are building an innovative module for our application that uses AI and computer vision to help customers identify medicines by uploading images of prescriptions or medicine packaging. Based on the image input, the system should recognize the medicine name and either suggest the exact product from our inventory or recommend similar alternatives if an exact match is unavailable. We are looking for a passionate AI/ML Engineer with a focus on computer vision to lead the development of this module. You’ll work closely with our product and engineering teams to design, train, and deploy high-accuracy models that deliver fast, reliable results to users. Key Responsibilities: Build and deploy image recognition models to extract relevant data from prescription photos and medicine packaging images . Integrate OCR (Optical Character Recognition) and object detection techniques to identify medicine names, dosage, and other key information. Develop a recommendation engine to suggest the same or similar medicines based on recognized input. Collaborate with product and backend teams to integrate the AI module into the main app. Continuously evaluate model performance and retrain with new data to improve accuracy. Stay up to date with the latest advancements in computer vision, OCR, and AI-based healthcare solutions . Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. 2+ years of experience in machine learning or computer vision projects. Strong knowledge of Python and experience with libraries such as OpenCV, TensorFlow, PyTorch, or Keras . Proven experience with OCR technologies (e.g., Tesseract, Google Vision, or AWS Textract). Familiarity with image classification , object detection , and image-to-text conversion . Solid understanding of deep learning architectures like CNNs. Experience working with medical datasets or pharmacy-related AI is a big plus. Ability to convert business requirements into technical solutions and model pipelines. Share resume on 6264203749 Job Types: Full-time, Permanent Pay: From ₹25,000.00 per month Schedule: Day shift Work Location: In person

Job summary Join DeetsDigital as key member of our Data Analytics team on our mission to improve decision making process with the help of data. You will analyze large data sets and tell an engaging story helping key decision makers in their decision making As a Data Scientist you will become a core member of DeetsDigital’s data science team and execute projects / tasks in the best interest of client, taking ownership of your own projects You will have a unique opportunity to be hands on and shape all stages of an interesting data science project. This includes a large variety of tasks for which your analytical skills coupled with solid technical knowledge are a key requirement. This role will give you the opportunity to: Ø Develop and deploy Deep Learning algorithms for the analysis of diverse datasets Ø Work with internal as well as external data partners to execute and deploy the solutions, respectively Ø Lead from the front and guide not only junior team members to learn but sr. team members also in fine tuning their approach towards solutioning Ø Be a business development executive and help sales team in acquiring new leads as well closing existing ones via your network Ø Help product team fine tune their product / come up with a new product with your suggestions Roles & responsibilities Ø Connect and extract information from various databases containing text, Images, audio, or video data Ø Collect, Consolidate, and inventory large data often spread across many places Ø Process the data to convert it to best possible format Ø Explore / Select optimum network using the ones available and custom built Ø Developing optimum deep learning framework using hyper parameter tuning Ø Collaborate with Business and IT teams to deploy the algorithms at scale Skills required Ø Programming Skills – Knowledge of statistical programming languages like R, Python Ø Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist daily routine Ø Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. is essential Ø Proficiency in OpenCV for advanced image processing tasks like filtering, edge detection, feature identification (as image segmentation, object recognition and localization) and transformations. Ø Expertise in object detection, segmentation, and localization using state-of-the-art models (e.g., YOLO, Mask R-CNN) and have in-depth fundamentals knowledge of choosing why & how part of models. Ø Experience with deep learning frameworks (TensorFlow, Keras & PyTorch) for building and deploying image analysis models. Ø Strong skills in algorithm development, optimization, and handling large-scale image datasets for real-time processing. Ø Excellent Communication Skills – It is incredibly important to describe findings to a technical and non-technical audience Ø Team player – It is mandatory to be a team player to successfully execute an end-to-end project Show more Show less