Computer Vision Expert

2 weeks ago

Noida, India Manage Captive Solutions Full time

**Who We Are**
- Manage Captive Solutions (MCS)_ stands as the ultimate solution for effortless offshore hiring, precise payroll management, streamlined administration, and stringent compliances. We provide businesses distinctive solutions, making it easy to hire and onboard new team members. By removing the hurdles of setting up a local office, we enable businesses to focus on expanding their horizons. Our holistic service oversees the entire onboarding process, managing everything from local regulations to payroll intricacies and compliance matters. Additionally, our commitment to cutting-edge technology delivery further enhances their business operations.

**Job Title**: Computer Vision Expert
**Experience**: 4-5 years

**Location**: Noida (Onsite)

**Job Type**: Full-time

**Availability**: Immediate

**Job Description**:
Overview:
**Responsibilities**:

- **Algorithm Development**:

- Design and develop robust computer vision algorithms for image and video analysis.
- Implement cutting-edge techniques for object detection, recognition, tracking, and segmentation.
- Continuously optimise algorithms for real-time performance and accuracy.
- **Machine Learning Integration**:

- Integrate machine learning models into computer vision pipelines.
- Collaborate with data scientists to enhance model performance and adapt to changing requirements.
- **Neural Network Expertise**:

- Demonstrate strong proficiency in designing, training, and fine-tuning neural networks for computer vision tasks.
- **Data Processing and Preprocessing**:

- Work with large datasets and develop efficient data processing pipelines.
- Perform image and video preprocessing to enhance the quality and relevance of input data.
- **System Integration**:

- Collaborate with cross-functional teams to integrate computer vision solutions into larger systems and products.
- Ensure seamless communication between computer vision modules and other components of the system.
- **Validation and Testing**:

- Conduct thorough testing and validation of computer vision algorithms to ensure reliability and robustness.
- Collaborate with quality assurance teams to address and resolve any issues.
- **Documentation**:

- Document algorithms, processes, and code to facilitate knowledge transfer and future enhancements.
- Create technical documentation for both internal and external stakeholders.
- **Stay Current with Industry Trends**:

- Stay informed about the latest advancements in computer vision, machine learning, and related fields.

**Qualifications**:

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Proven experience of 4 to 5 years in computer vision, image processing, and machine learning.
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with popular computer vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
- Strong understanding of deep learning architectures and frameworks.
- Excellent problem-solving skills and the ability to work independently or in a team.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

**Benefits**:

- Competitive salary and benefits package.
- Opportunities for professional development and continued learning.
- Dynamic and collaborative work environment.

If you are passionate about pushing the boundaries of computer vision and contributing to groundbreaking projects, we encourage you to apply. Join our team and be a key player in shaping the future of technology.

**How to Apply**:
Manage Captive Solutions is an equal opportunity employer and encourages individuals from diverse backgrounds to apply.

**Benefits**:

- Health insurance

Schedule:

- Day shift
- Monday to Friday

**Experience**:

- total work: 5 years (preferred)

Ability to Commute:

- Noida, Uttar Pradesh (required)

Ability to Relocate:

- Noida, Uttar Pradesh: Relocate before starting work (required)

Work Location: In person

**Speak with the employer**
+91 7895546435

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