Machine Learning (Computer vision) Job in
- Mifm Operations
- 2 to 6 Yrs
- All India
- 3 months ago
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Job Description
- Role: Machine Learning (Computer vision) Type: Full-time (On-site) Position: Entry-Level Location: Pune, India Contact: hidden_email About Fluid Analytics: Fluid Analytics is an award winning cleantech start-up, using cutting-edge technologies to help countries around the world tackle urban water pollution. The companys unique platform is deployed by cities to monitor the health of water infrastructure, the health of waterways (lakes, rivers, and coastlines), and public health. Fluid Analytics was recently awarded as the Global Top Innovator by the World Economic Forum, at this years Annual Meeting in Davos, Switzerland. Come join our team of passionate individuals, striving to make cities around the world water resilient. We are looking for We are looking for a highly skilled individual with extensive experience in training, evaluating, and deploying advanced deep learning models, particularly in computer vision. Your expertise in Python and machine learning will drive the development of cutting-edge solutions. You will be hands-on, writing code to implement various machine learning tools and setting an example for the team in terms of your ability to produce production-quality software. Roles & Responsibilities: Advanced Model Development: Design, train, and fine-tune state-of-the-art deep learning models for computer vision applications, tackling complex problems in image recognition, object detection, and more. Performance Evaluation: Fine-tuning models for performance, including speed, accuracy, and resource usage Deployment: Deploying machine learning models to production environments and optimizing them for performance, scalability, and reliability. Management: Managing the tools and platforms needed to deploy and monitor models, including cloud services, containerization, and orchestration. Collaboration: Work closely with cross-functional teams, including product management and engineering, to integrate computer vision solutions into new and existing products. What Youll Bring to Fluid Analytics: At Least 2+ years of hands-on experience in developing, training, and deploying machine learning models, with a focus on computer vision tasks. Proficient in Python, with the ability to write clean, efficient, and scalable code. Proven experience with computer vision libraries like NumPy, Pandas, and OpenCV is crucial. Experience with techniques for enhancing, normalizing, and transforming images to improve model performance and for extracting relevant features from images( SIFT, SURF, or HOG). Strong knowledge of deep learning frameworks like TensorFlow, PyTorch) and experience with transfer learning and fine-tuning pre-trained models. Understanding CNN architectures like YOLO, Faster R-CNN, and Mask R-CNN for detecting and segmenting objects in images. Knowledge of generative models like GANs (Generative Adversarial Networks) for image generation or style transfer. Proficiency in data structures relevant to processing and storing image data, such as trees, graphs, and multidimensional arrays. Solid foundation in linear algebra, probability, and statistics, with the ability to apply these principles to improve model accuracy and efficiency. Familiarity with distributed storage solutions like HDFS, S3, or Google Cloud Storage for managing large volumes of image and video data. Understanding of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration tools (Kubernetes) for deploying and managing machine learning models. Please Note: This position is not for NLP or Big Data Equal Employment Opportunity: Fluid Analytics is dedicated to fostering a workplace that values diversity and inclusion. We are an equal opportunity employer, encouraging applications from candidates of diverse backgrounds. Job Types: Full-time, Permanent Benefits: Leave encashment Paid sick time Paid time off Schedule: Day shift Fixed shift Performance bonus Ability to commute/relocate: Erandwane, Pune, Maharashtra: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Experience: Computer vision: 2 years (Preferred) Machine learning: 2 years (Preferred) Work Location: In person,
Employement Category:
Employement Type: Full timeIndustry: Engineering / Construction
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Machine Learning (Computer vision) Job in
Contact Details:
Company: Fluid AnalyticsLocation(s): All India
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Keyskills: Python Machine Learning Deep Learning Computer Vision NumPy OpenCV SURF HOG Linear Algebra Probability Statistics AWS GCP Azure Docker Kubernetes Pandas TensorFlow PyTorch CNN
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