5,714 Object Detection jobs in India

Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.

If this scares you, don't read. If this excites you, we might love you.

We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.

Key Technologies:

• Must be an expert in Python and Numpy.
• Experience with Tensorflow/Keras/Pytorch is required.
• Unsatiable hunger for writing beautiful code.
• Knowledge of python design-patterns.
• Some experience with C++ is preferred.
• Knowledge working closely with version control (GIT).
• Excellent communication skills and being able to work independently.
• Strong problem-solving and coding skills override everything else written above.

About AIMonk:

Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.

Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.

If this scares you, don't read. If this excites you, we might love you.

We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.

Key Technologies:

• Must be an expert in Python and Numpy.
• Experience with Tensorflow/Keras/Pytorch is required.
• Unsatiable hunger for writing beautiful code.
• Knowledge of python design-patterns.
• Some experience with C++ is preferred.
• Knowledge working closely with version control (GIT).
• Excellent communication skills and being able to work independently.
• Strong problem-solving and coding skills override everything else written above.

About AIMonk:

Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.

• Design and architect scalable deep learning systems and pipelines.
• Develop, train, and optimize deep learning models for various applications.
• Select appropriate model architectures and frameworks (TensorFlow, PyTorch, etc.).
• Lead the implementation of MLOps best practices for deep learning workflows.
• Collaborate with data scientists and engineers to integrate models into production.
• Evaluate and benchmark model performance, identifying areas for improvement.
• Mentor junior deep learning engineers and contribute to team growth.
• Stay current with state-of-the-art research in deep learning and AI.
• Contribute to the technical strategy and roadmap for AI initiatives.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of experience in deep learning, with a focus on model architecture and development.
• Proven experience in designing and deploying large-scale deep learning models.
• Expertise in Python and deep learning frameworks like TensorFlow and PyTorch.
• Strong understanding of MLOps principles and tools.
• Experience with cloud platforms (AWS, Azure, GCP) for ML workloads.
• Excellent analytical, problem-solving, and algorithmic thinking skills.
• Strong communication and collaboration skills.
• Experience with distributed training and model optimization techniques.

• Conduct advanced research in machine learning, deep learning, and other AI domains.
• Develop, implement, and evaluate novel AI algorithms and models.
• Design and execute experiments to test hypotheses and validate research findings.
• Analyze large datasets to extract insights and train AI models.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Publish research findings in top-tier academic conferences and journals.
• Stay abreast of the latest advancements in AI and related fields.
• Contribute to the development of intellectual property and patents.
• Mentor junior researchers and interns.
• Present research progress and results to internal and external stakeholders.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of research experience in AI/ML, with a strong publication record.
• Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
• Proficiency in programming languages such as Python.
• Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis tools.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills.
• Ability to work both independently and collaboratively in a research environment.
• Experience with cloud platforms (AWS, GCP, Azure) for AI development is a plus.

• Lead the design, development, and implementation of scalable machine learning systems and pipelines.
• Architect and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or JAX.
• Develop and deploy production-ready ML solutions, ensuring reliability, performance, and scalability.
• Collaborate with research scientists to translate novel algorithms and experimental findings into robust engineering implementations.
• Mentor and guide a team of ML engineers, fostering best practices in coding, testing, and deployment.
• Define and implement MLOps strategies for model versioning, monitoring, and continuous integration/deployment.
• Conduct thorough code reviews and provide constructive feedback to team members.
• Optimize model performance for efficiency and effectiveness across various hardware platforms.
• Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
• Contribute to the strategic technical direction of the ML engineering team and the broader organization.
• Troubleshoot and resolve complex technical issues in production ML systems.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of experience in machine learning engineering, with a strong focus on deep learning.
• Proven experience in leading ML projects from research to production.
• Deep expertise in Python and proficiency with core ML libraries (e.g., scikit-learn, pandas, NumPy).
• Extensive hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD, MLflow).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Excellent problem-solving, analytical, and algorithmic thinking skills.
• Exceptional leadership, communication, and collaboration abilities, critical for a remote-first environment.
• Experience with large-scale data processing and distributed systems.

• Research, design, and implement state-of-the-art computer vision algorithms for tasks such as object detection, image segmentation, facial recognition, and 3D reconstruction.
• Develop and optimize deep learning models using frameworks like TensorFlow, PyTorch, or similar.
• Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate computer vision capabilities into new and existing products.
• Conduct rigorous testing and validation of algorithms, ensuring robustness and performance in real-world scenarios.
• Stay current with the latest advancements in computer vision and deep learning research, and apply novel techniques to solve challenging problems.
• Optimize algorithms for performance, memory usage, and computational efficiency, particularly for embedded systems or real-time applications.
• Contribute to the entire product development lifecycle, from ideation and prototyping to deployment and maintenance.
• Mentor junior engineers and contribute to technical documentation and knowledge sharing.
  

• Ph.D. or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a specialization in computer vision or machine learning.
• 5+ years of hands-on experience in computer vision and deep learning.
• Strong programming skills in Python, C++, and proficiency with relevant libraries (OpenCV, scikit-image, etc.).
• Extensive experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Demonstrated experience with CNNs, RNNs, Transformers, and other relevant neural network architectures.
• Proven track record of developing and deploying computer vision models in production environments.
• Experience with data augmentation, model training, and hyperparameter tuning.
• Excellent problem-solving abilities and a passion for tackling complex technical challenges.