Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : GBP 1785-2500 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry PI, Blender, Computer Vision, opencv, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 3–5 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

🚀 AI/ML Solution Engineer Internship (On-site, Ahmedabad) Start Your Real Tech Career — Build. Deploy. Scale. Location: Ahmedabad (Office-based Only) Internship Duration: 8 Months Training + 1.5 Year Post-Training Bond About the Opportunity: Are you a recent graduate eager to move beyond online courses and actually build and deploy real AI models ? Whatmaction is offering a career-launching opportunity as an AI/ML Solution Engineer Intern — not just an internship, but a full-fledged deep tech journey . If you’re serious about working with production-grade AI, this is where your transformation begins. What You’ll Experience: 🧠 8 Months of Intense Training Like a bootcamp for your brain — hands-on learning, project-based tasks, and direct mentoring from senior engineers. ⚙️ Real-World AI/ML Projects Build and deploy production-level AI systems , including resume parsing tools, chatbots, and smart automation systems. 📦 Model Development: From Scratch & Prebuilt You’ll train models using open-source datasets, fine-tune pre-trained models, and learn how to build custom models from scratch — the real way. 🚀 Production Deployment You’ll also gain hands-on experience in model deployment , REST API integration, and making models accessible in real-time applications. Key Skills & Tech Stack: Languages: Python (strong foundation required) Bash/Shell scripting (basic) AI/ML Libraries: Scikit-learn SpaCy TensorFlow / PyTorch Keras Transformers (Hugging Face) XGBoost / LightGBM OpenCV (for CV tasks) Pandas / NumPy Matplotlib / Seaborn Tools & Platforms: Jupyter Notebooks / Google Colab Git & GitHub Postman Docker (for packaging ML apps) MLflow (for model tracking and versioning) Streamlit / FastAPI / Flask (for ML APIs) Firebase / AWS / Render (for model hosting) PostgreSQL / MongoDB (data handling) Core Concepts: Supervised / Unsupervised Learning Data Preprocessing & Feature Engineering Natural Language Processing (NLP) Model Evaluation & Hyperparameter Tuning Working with Pre-trained Embeddings ML Model Deployment (API-first mindset) Bonus Skills (Good to Have): Working with OpenAI / Hugging Face APIs Building AI Chatbots Basic Backend API skills (FastAPI preferred) Version control with Git Using LangChain / RAG techniques (optional) Who Should Apply: Fresh graduates (2023–2025) from B.Tech / MCA / BCA / M.Sc IT or equivalent. Passionate about AI, ML, and solving real-world problems . Willing to commit to 8 months of full-time training and 1.5-year project bond . Looking to build an actual career , not just do tasks. 📩 How to Apply: Send your updated resume to hr@whatmaction.com with the subject “AI/ML Internship Application – [Your Name]” 🔒 Note: This is an on-site only opportunity. Remote applications will not be considered. This is your launchpad. Build, deploy, and ship AI products that matter — with us at Whatmaction. Show more Show less

Compelling Opportunity for ML Engineer with Innovative Entity in Insurance Industry Employment | Immediate Location: Hyderabad, India Reporting Manager: Head of Analytics Work Pattern: Full Time, 5 days in the office Minimum Experience as a ML Engineer : 3 to 5 years Position Overview: The Innovative Entity in Insurance Industry is seeking an experienced Machine Learning Engineer with 3 to 5 years of hands-on experience in designing, developing, and deploying machine learning models and systems. The ideal candidate will work closely with data scientists, software engineers, and product teams to create solutions that drive business value. You will be responsible for building scalable and efficient machine learning pipelines, optimizing model performance, and integrating models into production environments. Key Responsibilities: · Model Development & Training: Develop and train machine learning models, including supervised, unsupervised, and deep learning algorithms, to solve business problems. · Data Preparation: Collaborate with data engineers to clean, preprocess, and transform raw data into usable formats for model training and evaluation. · Model Deployment & Monitoring: Deploy machine learning models into production environments, ensuring seamless integration with existing systems and monitoring model performance. · Feature Engineering: Create and test new features to improve model performance, and optimize feature selection to reduce model complexity. · Algorithm Optimization: Research and implement state-of-the-art algorithms to improve model accuracy, efficiency, and scalability. · Collaborative Development: Work closely with data scientists, engineers, and other stakeholders to understand business requirements, develop ML models, and integrate them into products and services. · Model Evaluation: Conduct model evaluation using statistical tests, cross-validation, and A/B testing to ensure reliability and generalizability. · Documentation & Reporting: Maintain thorough documentation of processes, models, and systems. Provide insights and recommendations based on model results to stakeholders. · Code Reviews & Best Practices: Participate in peer code reviews, and ensure adherence to coding best practices, including version control (Git), testing, and continuous integration. · Stay Updated on Industry Trends: Keep abreast of new techniques and advancements in the field of machine learning, and suggest improvements for internal processes and models. Required Skills & Qualifications · Education : Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · Experience: 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Programming Languages: Proficiency in Python (preferred), R, or Java. Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Data Manipulation: Strong knowledge of SQL and experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Cloud Services: Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform. · Model Deployment: Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines. · Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to understand complex data problems and implement effective solutions. · Mathematics and Statistics: A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Communication Skills: Strong verbal and written communication skills to collaborate effectively with cross-functional teams and stakeholders. Preferred Qualifications: · Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). · Exposure to natural language processing (NLP), computer vision, or recommendation systems. · Familiarity with version control systems (e.g., Git) and collaborative workflows. · Experience with model interpretability and fairness techniques. · Familiarity with big data tools (e.g., Hadoop, Spark, Kafka). Screening Criteria · Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Proficiency in Python · Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Strong knowledge of SQL · Experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform · Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines · A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Available to work from office in Hyderabad · Available to join within 30 days Considerations · Location – Hyderabad · Working from office · 5 day working Evaluation Process Round 1 – HR Round Round 2 & 3 – Technical Round Round 4 – Discussion with CEO Interested Profiles, Kindly Apply Note o Additional inputs to be gathered from the candidate to put together the application Show more Show less

𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗦𝘂𝗺𝗺𝗮𝗿𝘆: As the AI Engineer, you will design and develop new software programming applications and product components for the business. You will work to enhance and improve current software products. Ensure that products are stable, usable and robust and can be reliably delivered to customers, maintained and upgraded. 𝗪𝗲 𝗢𝗳𝗳𝗲𝗿: • An exciting role with a company at the forefront of innovation • Mentoring, guidance and support • An excellent working environment with a current high calibre development team 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻: Bachelor of Computer Science or other relevant degrees and/or Masters of Computer Science, IT or Software engineering 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: • Solid background in MERN stack • Experience with XML 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗶𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 You will be assessed on the following parameters such as: 1. Number of commits, Average code coverage, Time to review 2. Story point estimate accuracy, Actual release vs release plan, Completion of sprint tasks within the allocated sprint time box 3. Number of bugs in code, Count of refactored lines of code, Test coverage, Pass rate for integration test 4. Number of ideas submitted per month, Number of ideas converted to product, Number of improvements ideas incorporated 5. Good understanding of the use and application of existing Company products and services 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗽𝗲𝗿𝗶𝗼𝗱: 3 Months 𝗢𝘁𝗵𝗲𝗿 𝗿𝗼𝗹𝗲𝘀 𝗮𝗻𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: • Set up and manage our AI development and production infrastructure • Follow ML ops practices and build models via pipeline • Design system architecture of AI microservices • Build AI models using python libraries • Build microservices using Django or flask to serve AI models into web applications • Identify transfer learning opportunities and new training datasets • Keep current on the latest AI research relevant to our business domain 𝗣𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: • At least four (4) years of hands-on programming experience working within Python and web frameworks (Django & Flask) • Experience building AI models in platforms such as Keras, TensorFlow, or Pytorch • Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects Show more Show less

The Role: We are looking for an enthusiastic Senior Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay. Responsibilities: Apply advanced data science, mathematics, and machine learning techniques to solve complex business problems. Collaborate with cross-functional teams to design and deploy data science solutions. Analyze large volumes of data to derive actionable insights. Present findings and recommendations to stakeholders, effectively communicating complex concepts. Identify key metrics, conduct exploratory data analysis, and create executive-level dashboards. Manage multiple projects in a fast-paced environment, ensuring high-quality deliverables. Train and maintain machine learning models, utilizing deep learning frameworks and big data tools. Continuously improve solutions, evaluating their effectiveness and optimizing performance. Deploy data-driven solutions and effectively communicate results to stakeholders. Mandatory Qualifications: 5+ years experience working with machine learning in a production environment. Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Operations Research, Statistics, Mathematics, Physics). Strong knowledge of fundamental machine learning techniques, such as regression, classification, clustering, and model evaluation metrics. Proficiency in Python and familiarity with languages like C, C++, or Java. Experience with scripting languages like Perl and command-line Unix is a plus. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch) and big data tools like Spark, and 2-3 years experience in building production-quality machine learning code on platforms like Databricks Experience with AWS / GCP / Microsoft Azure for building production quality ML models and systems Ability to conduct end-to-end ML experimentation, including model experimentation, success reporting, A/B testing, and testing metrics. Excellent communication skills and the ability to keep stakeholders informed of progress and potential blockers. Show more Show less

Job Title: AI Solution architect Location: Remote Job Responsibilities: Collaboratively design and implement generative AI solutions using agile methodologies to meet customer-specific needs and operational requirements. Leverage frameworks such as NVIDIA NeMo, OpenAI APIs, and Avatar/Digital Person AI, ensuring optimal compatibility, performance, and customization. Design, deploy, and optimize AI workloads across hybrid and multi-cloud environments, ensuring data integrity, cost-efficiency, and performance optimization. Enhance solution architectures with scalability, reliability, and compliance in mind to align with evolving business needs and industry standards. Develop and deploy templates, governance models, and reusable assets to accelerate the development and deployment of AI solutions. Drive automation of managed offerings across hybrid infrastructures to ensure efficiency and operational excellence. Promote security, compliance, and ethical AI practices to align solutions with legal and societal standards. Qualifications: Experience with NVIDIA NeMo, OpenAI, and NLP technologies. Proficient in TensorFlow, PyTorch, or equivalent frameworks. Expertise in containers, Kubernetes, serverless computing, and DevOps practices. Deep understanding of AWS, Azure, and Google Cloud Platform (GCP) for hybrid setups. Strong proficiency in Python and familiarity with related libraries such as Keras and scikit-learn. Hands-on experience in deploying LLMs, CNNs, RNNs, GANs, and reinforcement learning architectures. Knowledge of tokenization, embeddings, and transformer-based models. Exceptional communication skills including the ability to articulate complex solutions to technical and non-technical audiences. BS/MS in Computer Science, Software Engineering, or equivalent. AI/ML Certifications: TensorFlow Developer Certificate, NVIDIA Certified AI Developer, or equivalent. Familiarity with non-NVIDIA AI platforms such as Red Hat, AMD, or Intel AI is a plus. Show more Show less

Role: Senior Analyst - Data Engineering Experience: 3 to 6 years Location: Bengaluru, Karnataka , India (BLR) Job Descrition: We are seeking a highly experienced and skilled Senior Data Engineer to join our dynamic team. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Job Resonsbilities: Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc. Databases: Snowflake, Teradata, SQL, NoSQL databases. Programming Languages: Python (essential), R, SQL. Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data Processing: ETL processes, data warehousing, data lakes. Cloud Platforms: AWS, Azure, Google Cloud Platform. Big Data Technologies: Apache Spark, Hadoop. Job Snapshot Updated Date 11-06-2025 Job ID J_3679 Location Bengaluru, Karnataka, India Experience 3 - 6 Years Employee Type Permanent

Bangalore,Karnataka,India Job ID 766481 Join our Team About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson’s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring Required Experience - min 7 years 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Salary - 10 to 25 LPA Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

We are seeking a highly skilled MLOps Engineer with experience in Healthcare domain to join our team. The Engineer will be responsible for ensuring the accuracy, performance, and stability of ML models. This role includes continuous monitoring, maintenance, and improvement of ML pipelines, Docker images, and data synchronization processes. Key Responsibilities Model Accuracy & Performance : Perform in-depth analysis of model accuracy. Identify and diagnose issues affecting model accuracy. Collaborate with data scientists to address and rectify model shortcomings. Regularly compare model performance against previous results to identify trends and improvement & Infrastructure Maintenance: Design and implement cloud solutions for MLOps (AWS, Azure, or GCP). Build and maintain CI/CD pipelines using GitLab CI, GitHub Actions, Circle CI, Airflow, or similar tools. Maintain production pipelines and Docker images with the latest model code. Ensure stability and alignment between development and production environments. Model Deployment & Monitoring Manage containerization, deployment, versioning, and monitoring of ML models. Implement automated testing, validation, and quality checks for data science models. Troubleshoot and resolve bugs related to model deployment and data synchronization. Data Synchronization & Reporting Maintain consistent data synchronization across systems. Export and format monthly results for reporting and analysis. Upload and process monthly CSV data into databases. Implement and improve event logic for data insights. Stakeholder Collaboration Provide insights and explanations for model predictions to stakeholders. Collaborate with affiliate teams to address their needs related to predictions and model outputs. Conduct deep-dive analyses on model performance, including feature importance and model : 4+ years of experience as MLOps Engineer. Minimum 2 years experience supporting Healthcare business as MLOps Engineer. Proven experience in designing and implementing cloud-based MLOps solutions (AWS, Azure, GCP). Proficiency in CI/CD pipeline orchestration tools (GitLab CI, GitHub Actions, Circle CI, Airflow). Strong programming skills in Python, Go, Ruby, or Bash. Solid understanding of Linux environments. Hands-on experience with machine learning frameworks (scikit-learn, Keras, PyTorch, TensorFlow). Familiarity with Agile project delivery processes. Strong analytical and problem-solving skills with a quality control mindset. Excellent written and verbal communication skills for effective team coordination. Consulting experience with creativity, critical thinking, project planning, and attention to detail. Knowledge of the US/Europe pharmaceutical market and experience with pharmaceutical data is a plus. Number of Positions : 2. Job Type : Full-Time. Experience Required : 4+ Years (Mandatory: Healthcare Domain experience of 2 years). Location : Gurgaon. Work Mode : Onsite. Shift : UK Shift. (ref:hirist.tech) Show more Show less

About Markovate At Markovate, we dont just follow trendswe drive them. We transform businesses through innovative AI and digital solutions that turn vision into reality. Our team harnesses breakthrough technologies to craft bespoke strategies that align seamlessly with our clients' ambitions. From AI consulting and Gen AI development to pioneering AI agents and agentic AI, we empower our partners to lead their industries with forward-thinking precision and unmatched expertise. Job Summary. AI Solution Architect will lead the design and implementation of AI-powered solutions for clients, ensuring that they align with business goals and provide scalable, high-performance results. Responsibilities AI Solution Architect will work closely with clients, development teams, and stakeholders to design and deploy cutting-edge AI solutions in various domains, including machine learning, natural language processing and computer Responsibilities : Understand the values and vision of the organization. Protect the Intellectual Property. Adhere to all the policies and procedures. Lead the design, development, and implementation of AI-powered solutions, ensuring alignment with client requirements and business objectives. Lead the AI solution lifecycle, from concept to deployment, ensuring that milestones and deadlines are met. Collaborate with clients, product managers, and technical teams to understand business challenges and translate them into AI-driven solutions. Design end-to-end AI architectures, including data pipelines, model selection, deployment strategies, and performance monitoring. Oversee the integration of AI models into production environments, ensuring that they deliver consistent, high-quality results. Guide the adoption of best practices in AI, machine learning, and data science, ensuring that solutions are scalable, efficient, and cost-effective. Evaluate and select appropriate AI tools, frameworks, and technologies for specific project requirements. Provide technical leadership and mentorship to junior AI engineers and data scientists. Ensure that AI models are tested thoroughly, validated, and optimized for performance, accuracy, and scalability. Work closely with cross-functional teams, including data engineers, business analysts, and UX/UI designers, to deliver end-to-end AI solutions. Stay current with the latest advancements in AI technologies and contribute to the ongoing development of AI solutions and frameworks within the organization. Communicate the technical aspects of AI solutions clearly to both technical and non-technical Required Skills : Expertise in designing AI architectures and solutions for complex business problems. Deep understanding of machine learning, deep learning, NLP, and computer vision algorithms and their application to real-world problems. Strong experience in working with data pipelines, data storage, and processing technologies. Ability to lead and guide a team of AI engineers and data scientists to build scalable AI solutions. Experience with performance optimization, model evaluation, and continuous improvement of AI systems. Extensive experience with AI frameworks and tools such as TensorFlow, PyTorch, Keras, Scikitlearn and others. Demonstrate excellent Leadership abilities in managing, mentoring and guiding team. Excellent communication and presentation skills, with the ability to explain complex AI concepts to non-technical stakeholders. Collaborative approach to effectively present and advocate for quick design solutions. Ability to work effectively with cross-functional teams and deliver results in a collaborative environment. Stay updated on the latest design trends, tools, and technologies, bringing innovative ideas to enhance the product experience. A proactive approach to problem solving, with a focus on delivering exceptional customer satisfaction with ability to navigate complex technical challenges and design innovative Skills : Excellent understanding of AI concepts, including supervised and unsupervised learning, reinforcement learning, model training, evaluation, and optimization. Experience with Big Data technologies such as Hadoop, Spark, and Kafka, and working with large datasets. Strong programming skills in Python, Java, or similar languages, with hands-on experience in machine learning libraries. Proficiency in cloud-based AI deployment and orchestration tools. Ability to stay ahead of industry trends and continuously evaluate new tools, frameworks, and techniques. Strong knowledge of cloud platforms such as AWS, Azure, and Google Cloud, with expertise in deploying AI models at scale. Familiarity with DevOps practices for AI, including continuous integration and deployment pipelines for machine learning : Demonstrate proactive thinking. Should have strong interpersonal relations, expert business acumen and mentoring skills. Strong problem-solving skills with attention to detail. Have the ability to work under stringent deadlines and demanding client Relevant Information : Bachelors degree in Computer Science, Information Technology, or a related field. Over 10+ years of experience in software development, with at least 8 years in AI/ML solution architecture and design. Proven experience in designing and implementing AI solutions in production environments, including machine learning, NLP, computer vision, and deep learning. This role offers the flexibility of working remotely in India. (ref:hirist.tech) Show more Show less

Job Description We are seeking an AI Solution Architect to lead the design and implementation of AI-driven solutions that align with business objectives and deliver scalable, high-performance results. This role requires deep expertise in AI/ML, solution architecture, and cloud deployment while collaborating with clients, developers, and stakeholders to drive AI innovation. Required Skills 12+ years in software development, with 8+ years in AI/ML solution architecture. Expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn). Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment at scale. Experience with data pipelines, big data technologies (Hadoop, Spark, Kafka), and cloud orchestration tools. Strong programming skills in Python, with hands-on experience in ML model training, evaluation, and optimization. Familiarity with DevOps for AI (CI/CD pipelines, MLOps best practices). Strong leadership, communication, and problem-solving skills, with a proactive and collaborative mindset. Key Responsibilities Architect and implement AI-powered solutions in machine learning, NLP, and computer vision to solve complex business challenges. Lead the AI solution lifecycle from concept to deployment, ensuring scalability, performance, and efficiency. Design end-to-end AI architectures, including data pipelines, model selection, deployment, and monitoring strategies. Integrate AI models into production environments, optimizing for performance, accuracy, and business impact. Evaluate and recommend AI tools, frameworks, and technologies for various projects. Mentor and guide AI engineers and data scientists, fostering best practices in AI development. Collaborate with cross-functional teams (data engineers, business analysts, UI/UX designers) to deliver AI-driven products. Ensure compliance with AI ethics, security, and governance while staying updated with the latest AI advancements. Communicate technical solutions effectively to both technical and non-technical stakeholders. Preferred Qualifications Experience with supervised/unsupervised learning, reinforcement learning, and deep learning. Understanding of international AI compliance, security, and governance standards. Ability to navigate complex technical challenges and drive AI innovation in real-world applications. Bachelor's/Master's degree in Computer Science, AI, or related fields. (ref:hirist.tech) Show more Show less

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value and that we do. Zinnia Has Over $180 Billion In Assets Under Administration, Serves 100+ Carrier Clients, 2500 Distributors And Partners, And Over 2 Million You Are We are looking for a passionate and skilled Python, AI/ML Lead Engineer with 7+ years of experience to join our team. As a Python/AI Lead, you will oversee the development and implementation of machine learning models, AI-driven solutions, and data-driven products. You will guide a team of engineers and collaborate with cross-functional teams to ensure the timely and high-quality delivery of projects. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, wed love to hear from you. What Youll Do Lead the design, development, and deployment of Gen AI and machine learning solutions using Python. Provide technical guidance and mentorship to team members, ensuring code quality, best practices, and performance optimization. Collaborate with product managers, data scientists, and other stakeholders to define project requirements and objectives. Take ownership of the full software development lifecycle (SDLC), from design to deployment, maintenance, and optimization. Perform code reviews, write technical documentation, and maintain high standards of software quality. Stay up to date with the latest trends and advancements in AI, machine learning, and Python development. Identify and mitigate technical risks in projects while ensuring timely delivery. Foster a collaborative environment and promote knowledge sharing across the engineering team. What Youll Need 7+ years of professional experience in Python development, with at least 2 years in a technical leadership role. Strong hands-on experience with AI/ML frameworks, Gen AI LLMs and libraries such as TensorFlow, Scikit-learn,or Keras. Python : Strong hands-on experience. Machine Learning : Practical knowledge of supervised, unsupervised, and deep learning techniques. Generative AI : Experience working with LLMs or similar GenAI technologies. API Development : RESTful APIs and integration of ML models into production services. Databases : Experience with SQL and NoSQL databases (e., PostgreSQL, MongoDB, etc. Good To Have Skills Cloud Platforms : Familiarity with AWS, Azure, or Google Cloud Platform (GCP). TypeScript/JavaScript : Frontend or full-stack exposure for ML product interfaces. Experience with MLOps tools and practices (e., MLflow, Kubeflow, etc. Exposure to containerization (Docker) and orchestration IN IT FOR YOU ? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. (ref:hirist.tech) Show more Show less

Role : AI/ML Engineer Exp : 4-7 Years Location : Nagpur/remote Job Description We are looking for a talented and experienced AI/ML Engineer to join our growing data science team. The ideal candidate will have strong expertise in machine learning, deep learning, and model deployment, with a passion for solving complex real-world problems using AI. Role & Responsibilities Design, develop, and deploy machine learning and deep learning models for various use cases Collaborate with cross-functional teams to gather requirements and identify AI-driven solutions Perform data preprocessing, feature engineering, and data visualization Evaluate model performance using appropriate metrics and improve as needed Optimize and scale models for performance, accuracy, and real-time inference Deploy ML models into production environments using CI/CD pipelines and MLOps best practices Document model architecture, data flow, and performance reports Stay up-to-date with the latest advancements in AI, ML, and related technologies Strong experience with Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch Proficiency in data analysis, feature engineering, and model selection techniques Hands-on experience with deep learning architectures: CNNs, RNNs, Transformers, etc. Experience with NLP, computer vision, or time-series forecasting is a plus Familiarity with ML pipelines, model versioning, and MLOps tools (MLflow, Kubeflow, etc.) Strong understanding of data structures, algorithms, and statistical methods Experience with cloud platforms like AWS, Azure, or GCP for model training and deployment Proficiency with SQL and NoSQL databases for data retrieval and storage (ref:hirist.tech) Show more Show less

Job Description We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. Responsibilities You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail Responsibilities : Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. Monitor and improve : Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. Security and privacy : Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive : 5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms (e.g., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. Experience with real-time video analytics, including working with large-scale video data and camera Skills : Proficiency in programming languages like Python, C++, or Java. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for developing computer vision models. Strong understanding of microservice architecture, REST APIs, and serverless computing. Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). Familiarity with edge computing and hardware acceleration (e.g., GPUs, TPUs) for running inference on embedded Qualifications : Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.) Understanding of retail operations and common challenges in surveillance. Knowledge of data privacy regulations such as GDPR or Skills : Strong analytical and problem-solving skills. Ability to work independently and in cross-functional teams. Excellent communication skills to convey technical concepts to non-technical : Competitive salary and stock options. Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, wed love to hear from you! Apply Now. (ref:hirist.tech) Show more Show less

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

We are seeking a Machine Learning Intern to join our team. You will be working on client facing projects, building POCs and writing technical blogs for our sites. This is a fully remote position, initially, it'll be a 3-month internship with the potential for extension or full-time offer based on performance. This is a paid internship at ₹15,000/month . This is an exciting opportunity to work in a dynamic environment and expand your knowledge in the field of AI development. This is a completely remote job, you will work on your own time. No micro-management, promise. You will be a learning a lot on the job, so don't worry if you do not meet all qualifications. As long as you can learn an adapt, this will be a good experience for you. Responsibilities Learn to use techniques like LoRA, FineTuning, Transfer Learning, etc. and use them in our projects. Read papers and learn more AI concepts to increase your own knowledge. Yes, this is necessary. Build POCs. Work on client facing AI projects under guidance of senior engineers. Documenting your journey by writing technical articles explaining complex AI topics in simple language. Qualifications Deep expertise working as a machine learning engineer or similar role, focusing on NLP. Strong programming skills with proven experience implementing Python-based solutions. Familiar with common DS libraries (NumPy, pandas, and scikit-learn) Common ML frameworks (like PyTorch, TensorFlow, Keras), worked with text embeddings and transformer models No need for a degree, if you have skills we will be happy to work with you. Excellent written and verbal communication skills. Strong research skills to gather information and validate technical content. Proficiency in using reading AI papers if required. Bonus Experience LLMs and related tooling: Agents, GPT, Langchain, HuggingFace , etc. Deep learning techniques, reinforcement learning, and generative models Interview Process (<3 days) 1 x Phone Screen | 10 mins 1 x Technical Interview | 1 hour Note: This is a 3-month internship, with the potential to turn into a full-time job. We don't hire based on DSA. You’ll be a good fit if you’re awesome at AI and capable of building real-world applications with them. We prefer people who are strong in AI, web & tech fundamentals and open to learning any framework/library as required. Degrees are redundant. First-time job-seekers are encouraged to apply. Will hire based on potential. Work from wherever, whenever. Immediate Joiners only. Show more Show less

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

Req ID: 323701 We are currently seeking a Gen AI Lead Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesExercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Conduct training sessions to enhance overall data science skills within the organization Build solutions for Private AI and Smart Agentic Solutions Minimum Skills Required 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 8+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor"™s Degree required.

Req ID: 323767 We are currently seeking a Gen AI Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesExercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks (Langchain and LlamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.). Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Contribute to the development of frameworks, capabilities, and features for NTT DATA"™s global GenAI platform and TechHub. Work on RAG models to enhance AI solutions by incorporating relevant information retrieval mechanisms. Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Collaborate with data science teams to build, tune, and iterate on machine learning models and prompts. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Preferred experience in Private AI and Smart Agent Solutions Minimum Skills Required 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 5+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor"™s Degree required.

Hi Immediate opening for Data Scientist Lead Location : Ahmedabad ( Onsite only ) Experience : 6 + years Job Description : Key Skills : Advanced degree or Masters degree in machine learning/data science/computer science or a related field Proven experience in developing and deploying machine learning models in a healthcare or RCM setting Strong programming skills in languages like Python or R Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Deep understanding of healthcare data and industry-specific challenges Strong problem-solving and analytical abilities Excellent leadership and team management skills Effective communication and stakeholder management skills Experience in MLOps, containerization, CI/CD pipeline is a plus Role & responsibilities: Engage with business and product teams to identify and flesh out ML use-cases Responsible for identifying needs, ingestion, quality and value evaluation, distillation & analysis of both structured and unstructured data from multiple sources Researching solutions to overcome machine learning challenges Managing and mentoring a team of ML engineers work allocation and planning, problem solving, tactical problem solving and thought leadership Leading development and optimization of machine learning and deep learning models Customizing models and build on top of existing framework to address client specific requirements Creating assets to fast-track solution development Staying informed about latest developments in Data Science / AI field Candidates serving notice / Early Immediate joiners can share updated CV on anand.rawal@agshealth.com

Datacrew.ai seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position: Python/ML – Tech Lead Experience: 5 + years No of positions: 1 Location: Chennai, India Immediate Joiners preferred Key Skills & Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: ü Proficiency in Python programming language. ü Minimum 4+ years of hands-on experience in python and ML ü Strong background in machine learning algorithms and frameworks. ü Understand the requirements and objectives of the assigned projects ü Recommend appropriate approaches and technologies to deploy to achieve the objectives ü Iterate the development process to improve effectiveness of the models ü Implement parallel processing and other techniques to enhance processing speed ü Deep understanding of data extraction with Computer Vision and Deep learning libraries ü Excellent problem solving and analytical skills ü Ability to understand project requirements and objectives, and translate them into actionable development tasks ü Effective communication with stakeholders to provide technical insights and project updates ü Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards ü Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: ü Experience with deep learning frameworks such as TensorFlow or PyTorch. ü Familiarity with natural language processing (NLP) techniques. ü Previous work on computer vision projects ü Demonstrated experience and success in computer vision and text extraction projects Show more Show less