Sr ML Engineer

Role : Sr ML Engineer - 4yrs experience - Remote

Experience : 4+ Yrs

Location: Bangalore/Remote

Notice Period : 15 Days/ Immediate

Skills : ML Engineer, Python, Deep Learning, Computer Vision, Image Processing

Salary Range : 12 LPA , based on skills, experience, and interview performance

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.