Senior data scientist

2 days ago

Coimbatore, India Doers Tech Enterprise Solutions Pvt Ltd Full time

Company: Doers Tech Enterprise Solutions Pvt. Ltd.  Location: Coimbatore  Position Type: Full-time  Experience Level: Mid/Senior (3 to 4 years)  CTC: Competitive based on experience  About Us:   At Doers Tech, we are a dynamic professional services company that offers innovative solutions in education, digital, information technology, and operations. Our team of enthusiastic employees works together to solve challenging problems, deliver affordable solutions, and help our clients improve their business performance. We value honesty, collaboration, and a forward-thinking approach, evolving with emerging technologies to shape the future.  Job Overview:   Doers Tech is looking for a Senior Data Scientist with a specialization in Computer Vision to join our team. As a Computer Vision Specialist, you will be responsible for developing and deploying cutting-edge machine learning models for a variety of computer vision tasks. You will design and implement end-to-end pipelines, ensuring best practices in code quality, and work closely with cross-functional teams to drive innovation and deliver actionable insights.  Key Responsibilities:   Develop and implement machine learning models for computer vision tasks, including image processing, object detection, object tracking, and video analysis.  Design and build robust end-to-end pipelines for data collection, cleaning, and analysis to solve complex business problems.  Collaborate with cross-functional teams to integrate computer vision solutions into production environments.  Perform data analysis and visualizations to uncover patterns and provide actionable insights for decision-making.  Ensure code quality, maintainability, and best practices in model deployment and integration.  Stay updated with the latest trends and advancements in machine learning and computer vision technologies.  Utilize cloud technologies and big data solutions (Kafka) where applicable to improve model performance and scalability.  Ability to guide and mentor team members, prioritize tasks effectively, and manage multiple projects simultaneously.    Required Skills and Experience:   3 to 4 years of hands-on experience in data science with a strong focus on computer vision. Expertise in Python, including data structures and algorithms (DSA). Proficient in libraries such as Pandas, Num Py, and Scikit-learn. Experience with machine learning and deep learning frameworks, including Tensor Flow, Py Torch, or Keras. Strong understanding of ML and DL concepts, and their application in computer vision. Hands-on experience in core computer vision tasks such as: Object detection (e.g., YOLO, Faster R-CNN, SSD)  Object tracking (e.g., SORT, Deep SORT, optical flow methods)  Image segmentation (e.g., U-Net, Mask R-CNN)  Image classification, feature extraction, and face recognition  Video analysis, including motion detection, event detection, and frame-by-frame processing.  Strong proficiency in image processing techniques such as filtering, thresholding, morphological operations, and image transformations.  Experience working with large-scale datasets, annotating images, and creating datasets for training computer vision models.  Strong understanding of model evaluation metrics for computer vision (e.g., Io U, m AP, precision, recall).  Strong database knowledge and familiarity with version control tools such as Git Hub. Familiarity with containerization technologies like Docker is an added advantage. Knowledge of cloud platforms and big data technologies (Kafka) is a plus. Exposure to Edge Computing and deploying models on devices like Jetson or Raspberry Pi for real-time CV applications is a plus. Soft Skills:   Strong problem-solving mindset and logical thinking.  Ability to collaborate effectively with cross-functional teams.  Positive attitude toward continuous learning and acquiring new skills.  Excellent communication skills, both verbal and written.  Strong teamwork and interpersonal skills.  Managing skills : Ability to mentor a team, prioritize tasks effectively, and manage multiple projects simultaneously. Why Doers Tech?   Work with cutting-edge technologies in a collaborative and innovative environment.  Opportunity to contribute to impactful projects and drive business performance.  Learn and grow in a supportive team culture, fostering personal and professional development.  Competitive compensation and benefits.    Interested candidates can drop your CV to   

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