14,915 Deep Learning 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.

Full-time | Hybrid/Remote

Skill Sets Needed

• Deep Learning Frameworks: Proficient in PyTorch or TensorFlow
• Programming: Strong Python skills with experience in NumPy, Pandas, and scikit-learn
• Model Development: Experience with CNNs, RNNs, transformers, and self-supervised learning
• Healthcare Data Handling: Exposure to medical images (e.g., DICOM), tabular EHR, or time-series signals
• MLOps Basics: Knowledge of model versioning, deployment tools (e.g., ONNX,Docker), and performance monitoring
• Problem-Solving Mindset: Ability to build practical solutions in resource-constrained, noisy data environments
• Bonus: Familiarity with medical standards (e.g., ICD codes, HL7) or experience in Kaggle/healthcare AI competitions

Key Responsibilities

• Design and train deep learning models for medical imaging, diagnostics, and predictive healthcare analytics
• Collaborate with clinicians, product teams, and data scientists to translate healthcare problems into AI solutions
• Work with real-world healthcare data (images, time-series, EHR), ensuring regulatory compliance (e.g., HIPAA/GDPR)
• Contribute to model deployment pipelines, optimizing performance in production environments

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Role & responsibilities

1.Data Pipeline and Model Development

1. ML/AI Project Implementation

2. LLM Development and Implementation

3. Quality Assurance and Testing

4. Research and Development 6. Collaboration and Communication

Preferred candidate profile

Machine Learning Algorithms

1. Deep Learning Architectures

2. Mathematics & Statistics

3. Data Structures & Algorithms

4. MLOps Tools and Practices

5. Big Data Technologies

6. Cloud Computing Platforms

7. Model Optimization Techniques

8. Data Privacy & Security

9. Software Development Life Cycle

10. Transformer Architecture

11. LLM Frameworks and Tools

12. Token-based Processing

13. Context Window Management

Company Description

Ignitarium is a Silicon and Embedded System design house dedicated to providing innovative and optimal solutions to assist customers in product development. The company is built around a core team of technologists with over 150 years of collective industry experience in areas such as system architecture, logic design and verification, signal processing, FPGA design, and embedded system design. Ignitarium prides itself on its expertise and the relevant solutions it offers to its clients.

Role Description

This is a full-time, on-site role for a Deep Learning Engineer located in Bengaluru. The Deep Learning Engineer will be responsible for designing, developing, and implementing deep learning models and algorithms. Day-to-day tasks include data preprocessing, model training, evaluation, and optimization. The role also involves collaborating with cross-functional teams to integrate deep learning solutions into various systems and applications, as well as staying updated with the latest developments in the field of deep learning and artificial intelligence.

Please find the JD / required skill sets as below:

• Strong understanding of fundamentals of AI/ML (DL) and Image Processing
• Strong fundamentals in Data structures and Algorithms
• Experience in relevant libraries such as OpenCV, Numpy, PIL libraries
• Experience in developing 
  Deep
   
  Learning
   models to solve computer vision problems for resource constrained devices
• Experiences in any one of the 
  Deep
   
  Learning
   frameworks – Pytorch, Tensorflow
• Experience with ADAS domain a plus.
• Awareness of Camera models and birds eye view projection would be great.

Develop, implement & fine-tune DL AI models for wide range of Computer Vision application

Perform data annotation

Training of AI models with model inference and evaluate model accuracy & performance metrics using frameworks

Develop APIs