271 AI Models jobs in Delhi

Job Title:
Deep Learning & Computer Vision Engineer

Company:
Designing Alley

Location:
On-site

Employment Type:
Full-Time

Experience:
3–5 Years

About Us

Designing Alley is an innovation-driven startup building advanced solutions in
automation, AI, and computer vision
. We combine creativity with technology to deliver groundbreaking products that redefine industries. If you're passionate about AI and want to work on cutting-edge projects, join us and make an impact.

Role Overview

We are seeking a
Deep Learning & Computer Vision Engineer
to design, develop, and deploy AI-powered solutions. You will be responsible for building real-time computer vision pipelines, implementing state-of-the-art deep learning models, and bringing research concepts into production. This is an exciting opportunity to work in a
fast-paced startup environment
where your work directly shapes innovative products.

Key Responsibilities

• Design and implement
  deep learning models
  for image classification, object detection, segmentation, and tracking.
• Develop
  computer vision pipelines
  for real-time applications.
• Research and apply the latest
  AI and computer vision techniques
  from research papers to production systems.
• Deploy, optimize, and maintain models on
  cloud platforms
  (AWS, GCP, Azure).
• Work with large datasets, performing preprocessing and
  data augmentation
  .
• Collaborate with cross-functional teams to integrate AI into products.
• Monitor model performance and improve efficiency.
• Mentor junior engineers
  and support team knowledge sharing.

Required Skills & Qualifications

• 3–5 years of experience in
  deep learning and computer vision
  .
• Proficiency in
  Python
  and frameworks like
  TensorFlow, PyTorch, Keras
  .
• Strong understanding of
  OpenCV
  and computer vision algorithms.
• Hands-on experience with neural architectures (
  CNNs, YOLO, ResNet, Transformers
  ).
• Experience deploying models on
  AWS/GCP/Azure
  and knowledge of
  MLOps
  (Docker, Git, CI/CD).
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

• Experience with
  ROS
  and robotics applications.
• Knowledge of
  model optimization techniques
  (quantization, pruning).
• Familiarity with
  edge deployment
  (TensorFlow Lite, ONNX).
• Startup experience and ability to thrive in a dynamic environment.
• Contributions to
  open-source projects
  or published research.

• Conduct in-depth research into advanced AI techniques, with a strong emphasis on generative adversarial networks (GANs), variational autoencoders (VAEs), diffusion models, and transformer-based architectures.
• Develop and prototype novel algorithms and models for image generation, text synthesis, music composition, and data augmentation.
• Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications and features.
• Stay abreast of the latest research papers, industry trends, and technological advancements in AI and machine learning.
• Design and execute rigorous experiments to evaluate model performance, robustness, and scalability.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and contribute to building a strong research culture.
• Contribute to the development of intellectual property and patents.
• Ensure ethical considerations and bias mitigation are integrated into model development.
• Optimize models for deployment in real-world scenarios.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in generative AI, with publications in leading venues.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Deep understanding of mathematical concepts underpinning machine learning, including linear algebra, calculus, and probability.
• Experience with large-scale datasets and distributed training.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced research environment.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.
• Familiarity with MLOps practices and tools is advantageous.

• Lead research initiatives in the area of generative AI, including but not limited to GANs, VAEs, diffusion models, and large language models.
• Design, develop, and implement novel algorithms and architectures for state-of-the-art AI systems.
• Conduct rigorous experiments, analyze results, and publish findings in top-tier AI conferences and journals.
• Collaborate closely with engineering teams to translate research prototypes into scalable production systems.
• Mentor junior researchers and contribute to building a strong research culture within the organization.
• Stay current with the latest advancements in AI and machine learning, identifying new research opportunities.
• Develop and maintain high-quality, well-documented code for research experiments and prototypes.
• Present research findings to both technical and non-technical audiences.
• Contribute to the intellectual property and patent portfolio of the company.
• Explore novel applications of generative AI across various domains.

• Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field.
• 5+ years of post-doctoral or industry research experience in AI, with a specialization in generative models.
• Proven track record of publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Strong theoretical foundation in machine learning, deep learning, and statistics.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
• Experience with large-scale data processing and distributed computing.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts clearly.
• Demonstrated ability to work independently and collaboratively in a remote setting.

• Conduct cutting-edge research in Artificial Intelligence, focusing on generative models.
• Develop and implement novel algorithms for deep learning, NLP, computer vision, and related fields.
• Design and execute experiments to evaluate and validate AI models.
• Analyze research results and identify opportunities for innovation and improvement.
• Collaborate with cross-functional teams to integrate AI research into product development.
• Publish research findings in top-tier conferences and journals.
• Stay current with the latest advancements in AI and machine learning research.
• Mentor junior researchers and contribute to the team's knowledge base.
• Develop and maintain high-quality code for AI research and development.
• Contribute to the company's intellectual property portfolio through patents and publications.

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• 5+ years of post-doctoral or industry research experience in AI, with a specialization in generative models.
• Proven track record of research contributions, demonstrated through publications, patents, or significant open-source projects.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
• Deep understanding of machine learning theory, statistical modeling, and data analysis.
• Experience with various AI domains including NLP, computer vision, or reinforcement learning.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Ability to work independently and lead research initiatives in a remote setting.
• Strong communication and collaboration skills.

• Lead research initiatives in generative AI, from conceptualization to prototype development.
• Develop and implement state-of-the-art deep learning models for various AI tasks.
• Conduct rigorous experiments, analyze results, and document findings effectively.
• Collaborate with cross-functional teams, including engineers and product managers, to translate research into tangible products and features.
• Stay abreast of the latest advancements in AI, machine learning, and related fields through continuous learning and literature review.
• Mentor junior researchers and contribute to the overall growth of the AI research community within the organization.
• Publish research findings in top-tier AI conferences and journals.
• Optimize model performance and scalability for real-world applications.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in generative AI, with at least 5 years of relevant experience.
• Strong theoretical understanding and practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in programming languages such as Python.
• Demonstrated experience with various generative model architectures and their applications.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.
• Ability to work independently and as part of a globally distributed team.

• Lead cutting-edge research in AI, focusing on generative models, deep learning, and related areas.
• Design, develop, and implement novel algorithms and machine learning models.
• Conduct rigorous experimentation, statistical analysis, and performance evaluation of AI systems.
• Publish research findings in leading academic conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
• Collaborate with cross-functional teams, including software engineers and product managers, to translate research into practical applications.
• Mentor and guide junior researchers and interns, fostering a culture of innovation and learning.
• Stay abreast of the latest advancements in AI research and identify opportunities for new research directions.
• Contribute to the intellectual property portfolio through patents and publications.
• Develop and maintain efficient and scalable AI research infrastructure.
• Present research findings to technical and non-technical audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 8 years of post-doctoral or industry research experience in AI/ML, with a strong focus on generative models (e.g., GANs, VAEs, Transformers).
• Proven track record of significant contributions to the AI research community, demonstrated through publications, patents, or open-source contributions.
• Deep theoretical and practical understanding of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in programming languages such as Python, and experience with scientific computing libraries.
• Exceptional analytical, problem-solving, and critical-thinking skills.
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
• Experience leading research projects and mentoring junior team members.
• Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) for large-scale model training.
• A profound passion for AI research and its potential impact on the world.

• Conduct cutting-edge research in deep learning and related AI fields.
• Design, develop, and implement novel deep learning models and algorithms.
• Experiment with different neural network architectures and training techniques.
• Process and analyze large-scale datasets for model training and evaluation.
• Evaluate model performance, identify limitations, and propose improvements.
• Collaborate with engineers to deploy research models into production systems.
• Stay abreast of the latest advancements in AI and machine learning research.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and interns.
• Contribute to grant proposals and research project planning.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
• Proven track record of research and publications in leading AI conferences/journals.
• Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs).
• Expertise in deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Proficiency in Python and relevant libraries (NumPy, SciPy, Pandas).
• Experience with large-scale data processing and distributed computing.
• Familiarity with cloud computing platforms (AWS, Azure, GCP).
• Strong analytical, mathematical, and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a research-intensive environment.