We have listed the latest Computer Vision job openings in India.
1| Senior Software Engineer – Deep Learning & Computer Vision at NVIDIA
Location: Pune
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Responsibilities:
- Building, training and optimizing neural networks with a strong focus on video processing and 3D reconstruction.
- Hands-on expertise with one or more Deep Learning frameworks (Pytorch, Tensorflow).
- Optimising network performance at kernel level for scalability across hardware. Experience in reinforcement learning techniques.
Apply here.
2| Lead ML Developer (Computer Vision/CV) at Wipro
Location: Remote
Responsibilities:
- Design & development of Computer Vision(CV) based cognitive pipelines.
- The candidate will be responsible for creating & managing the CV pipelines for multiple solutions.
- Responsible for designing requirement specific CV implementations using microservices architecture.
- Explore & implement the latest technologies & algorithms wherever applicable.
Apply here.
3| Manager – Machine Learning Engineer(Computer Vision) at CEAT
Location: Mumbai
Responsibilities:
- Creating data visualisations to effectively convey findings using Tableau/plotly/panel/streamlit.
- Exporting data to external sources through reports or spreadsheets or through API.
- Extending company’s data with third party sources of information when needed.
- Data quality to support sound business decisions and effective engineering.
Apply here.
4| Senior Data Scientist: Computer Vision/Image Analytics at Fractal
Location: Mumbai
Responsibilities:
- Ability to understand client requirements, design and drive the solutions.
- Design, understand and build novel computer vision solutions leveraging deep learning and machine learning.
- Deep understanding of object detection, semantic and instance segmentation, keypoint detection and object tracking algorithms.
- Deep understanding of GANs, self-supervised, zero-shot, few-shot learning techniques.
Apply here.
5| Research Scientist – Computer Vision at Adobe
Location: Noida
Responsibilities:
- Developing and leading research areas, publishing in top conferences and journals, working with product teams to turn the research advances to impactful product features and to collaborate with academic labs.
- Image and Video Understanding, Manipulation and Synthesis, Unsupervised Learning, Image and Video Segmentation, Generative Models like GANs, Normalizing Flows, Transfer Learning, Few Shot/Zero Shot Learning, 3D computer vision, Multi-Modal content and Document Understanding, Deep Reinforcement Learning, Graph Neural Networks
Apply here.
6| Computer Vision Lead Architect at Oracle
Location: Bangalore
Responsibilities:
- Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI.
- Design and build distributed, scalable, fault-tolerant software system. Participate in the entire software lifecycle – development, testing, CI and production operations.
- The balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events.
Apply here.
7| Computer Vision Engineer at BYJU’s
Location: Bangalore
Responsibilities:
- Research, design, and implement scalable computer vision and machine/deep learning solutions for R&D problems.
- Work on computer vision algorithms for camera calibration, object detection, handwriting recognition, pattern recognition, pose detection in live images.
- Optimise the algorithms to run real-time on tablet/mobile devices.
Apply here.
8| Data Science/Computer Vision at Mindtree
Location: Pune
Responsibilities:
- Manage self-initiated goals in a collaborative team environment.
- Create and align related priorities/goals with all stakeholders.
- Work closely with application and core engineering teams to provide CV support and directions. Make important and (occasionally time-sensitive) decisions that affect developers, products, and end-user experiences.
Apply here.
9| Lead ML Engineer (Computer Vision) at Toyota Connected
Location: Chennai
Responsibilities:
- Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems
- Develop image analysis algorithms and deep learning architectures to solve Computer vision-related problems.
- Implement cutting edge machine learning techniques in image classification, object detection, semantic segmentation, sequence modelling, etc. using frameworks such as OpenCV, TensorFlow and Pytorch.
Apply here.
10| Machine Learning Engineer at Netradyne
Location: Bangalore
Responsibilities:
- Design and commercialize algorithms characterizing driving behaviour.
- Design, implement and track key metrics.
- Architect data-driven solutions.
- Improve machine learning infrastructure for scalable training and inference.
Apply here.
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1| Associate Director/Director/Consultant – Digital Marketing at TheMathCompany
Location: Bangalore/Gurgaon/Gurugram
Responsibilities:
- Build and inspire creative teams together and vendors as required that guarantees a holistic marketing capability to support the growth of the business
- Manage and optimize the websites within the group and use digital marketing methods to increase traffic and the online demand for our services.
- Lead communication strategy for marketing initiatives and social media campaigns
- Plan, execute, and measure lead generation programs to grow the sales pipeline.
Apply here.
2| Senior Associate – Data Science at TheMathCompany
Location: Bangalore
Responsibilities:
- Ability to work with business users to refine analytical requirements and break down/solve complex business problems.
- Staying connected with analytics industry trends in data, techniques, technologies and leveraging them to develop learning packages as well as evangelizing their use across teams.
- Depending on the client engagement, leading a team of analysts/associates and mentoring people in a fast-paced, learning-driven environment. Strong application knowledge of tools (R/SAS/Python/SPSS etc.).
Apply here.
3| Data Engineer – Python/SQL at aha
Location: Hyderabad
Responsibilities:
- Knowledge of data management fundamentals and data storage principles. Experience working with data pipelines, ETL processes and SQL in a business environment with large-scale, complex datasets; a track record of manipulating, processing and extracting value from large datasets.
- Fluency in Python, Pyspark and other big data technologies like Hadoop etc. General knowledge of data consumer hubs (Snowflake, Databricks, BigQuery, Synapse).
- Communicating with users, Data scientists, other technical teams, and senior management to collect requirements, describe data modelling decisions and data engineering strategy.
Apply here.
4| Director – Data Science at Skoruz
Location: Bangalore
Responsibilities:
- Develop analytical solutions that bring critical insights to a variety of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, fraud detection.
- Research and develop novel machine learning and statistical techniques to solve complex business problems.
- To help create innovative machine learning solutions. Your responsibilities include understanding the business problem and experimenting with different modelling architectures to create the best possible setup from model performance as well as computational performance.
Apply here.
