On-Site
Full-Time
Bengaluru, Karnataka
India
About the Role
Role : Sr ML Engineer
Experience : 4+ Yrs
Location: Bangalore
Job Type: Full-time
Notice Period : 15 Days/ Immediate
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.
Experience : 4+ Yrs
Location: Bangalore
Job Type: Full-time
Notice Period : 15 Days/ Immediate
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.