3+ PyTorch Jobs in Chennai | PyTorch Job openings in Chennai
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PythonRole Overview:
We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.
Key Responsibilities:
- Develop, implement, and optimize machine learning models and algorithms to support product development.
- Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams to define data requirements and product taxonomy.
- Design and build scalable data pipelines and systems to support real-time data processing and analysis.
- Ensure the accuracy and quality of data used for modeling and analytics.
- Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
- Implement best practices for data governance, privacy, and security.
- Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
- 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
- Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
- Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
- Hands-on experience with data visualization tools and techniques.
- Strong understanding of statistics, data analysis, and machine learning concepts.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced, dynamic environment.
Preferred Qualifications:
- Knowledge of microservices architecture and RESTful APIs.
- Familiarity with Agile development methodologies.
- Experience in building taxonomy for data products.
- Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
Machine Learning (ML)
Data ScienceRoles & Responsibilities:
-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.
-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.
-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products
-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.
-Define and develop ML infrastructure to improve efficiency of ML development workflows.
Must Have:
- Experience in productizing and deployment of ML solutions.
- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR
. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.
- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)
- Years with relevant experience:
5+ -Experience or Knowledge in ML OPS.
Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.
PythonMachine Learning (ML)Data ScienceDo you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.
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