Senior Deep Learning Computer Vision Engineer

Role: Senior Deep Learning Computer Vision Engineer
Location: Bangalore- Work From Office
Exp: 4+ Years
Max Budget: 15 LPA

Company Overview: IndusVision is an innovative leader in dedicated to building cutting-edge technologies. We are looking for a Senior Deep Learning Computer Vision Engineer with a proven track record of delivering high-quality machine learning models and solutions to join our team. You will be part of a collaborative and dynamic environment, driving the development of state-of-the-art computer vision applications.

Job Responsibilities:
● Deep Learning & Computer Vision Model Development: Lead and contribute to the development of deep learning-based computer vision models for real-world applications (e.g., image recognition, object detection, segmentation, tracking, etc.).
● Research & Innovation: Stay up-to-date with the latest advancements in deep learning, computer vision, and AI technologies. Evaluate and implement cutting-edge techniques to improve model performance and scalability.
● End-to-End Solution Deployment: Take responsibility for the full life cycle of a project, from conceptualizing solutions to deploying and maintaining deep learning models in production.
● Code Optimization & Model Performance: Develop and fine-tune algorithms for real-time and large-scale image/video processing. Optimize code for performance, efficiency, and scalability.
● Collaboration & Mentorship: Work closely with cross-functional teams (e.g., data scientists, software engineers, product managers) to design and implement practical AI solutions. Guide and mentor junior engineers and data scientists, providing technical leadership and ensuring high-quality code and designs.
● Research Paper Review & Knowledge Sharing: Review and contribute to research papers and publications. Organize and lead internal knowledge-sharing sessions on new techniques, industry trends, and best practices.
● Documentation & Reporting: Document models, processes, and experiments. Provide clear and concise reports on findings and progress to the leadership team.

Required Skills & Qualifications:
● Industry Experience: Minimum of 3 years of industry experience working on deep learning and computer vision projects, with a strong focus on practical implementations.
● Proficiency in Python: Advanced knowledge of Python and its deep learning libraries (TensorFlow, PyTorch, Keras, OpenCV, etc.). Familiarity with other languages is a plus (e.g., C++, CUDA).
● Deep Learning Frameworks: Extensive experience using deep learning frameworks (e.g., TensorFlow, PyTorch) to develop and train models for various computer vision tasks.
● Computer Vision Expertise: Strong understanding of computer vision algorithms, techniques, and applications (e.g., object detection, segmentation, facial recognition, optical flow, etc.).
● Model Deployment: Experience with model deployment tools and techniques (e.g., TensorFlow Serving, Docker, cloud services like AWS, Azure, etc.).
● Mentorship & Leadership: Proven ability to mentor and guide junior engineers and data scientists in the team, providing technical support and helping them grow in their careers.
● Problem-Solving & Critical Thinking: Strong analytical and problem-solving skills. Ability to break down complex challenges and come up with innovative, scalable solutions.
● Communication Skills: Excellent written and verbal communication skills. Ability to explain technical concepts to non-technical stakeholders and present findings clearly.

Preferred Qualifications:
● Master's or PhD in Computer Science, Engineering, or a related field.
● Experience with cloud-based services (AWS, GCP, or Azure) for deploying deep learning models.
● Familiarity with model explainability and interpretability tools.

What We Offer:
● Competitive salary and benefits package.
● Flexible work hours and remote work options.
● Opportunities for career advancement and professional development.
● A collaborative, innovative, and inclusive team environment.