Senior Machine Learning Engineer Computer Vision

NLP PEOPLE; País Vasco; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading AI startup is seeking a Senior Machine Learning Engineer specializing in computer vision to design and deploy innovative solutions. This role involves developing and optimizing cutting-edge models for retail analytics to enhance efficiency and reduce losses. Required qualifications include over 7 years of experience in computer vision, proficiency in deploying microservices, and skills in deep learning frameworks. Competitive compensation and a collaborative culture are part of the offer.

Servicios

Competitive compensation

Growth opportunities

Collaborative culture

Formación

• 7+ years of experience in computer vision, preferably in retail.
• Hands-on experience with microservices on cloud platforms.
• Proficiency in Python or C++.

Responsabilidades

• Design and implement scalable, cloud-based microservices.
• Develop and deploy computer vision models.
• Integrate services with existing retail systems.

Conocimientos

Computer vision expertise

Microservices deployment

Deep learning frameworks

Python proficiency

Real-time video analytics

DevOps tools (Docker, Kubernetes)

Herramientas

TensorFlow

PyTorch

Kubernetes

Descripción del empleo

Overview

Job Title: Senior Machine Learning Engineer – Computer Vision AI/ML

Location: Greater Hyderabad, Telangana India

Employment Type: Full-Time

Department: Tech

mokSa.ai is specializing in AI-powered surveillance audit solutions. Founded in 2021, the company focuses on helping businesses reduce losses from shoplifting and employee fraud by leveraging computer vision and machine learning technologies

Job Description: We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. You will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis.

Responsibilities

• Design and implement scalable, cloud-based microservices to deliver real-time and post-event analytics for retail applications.
• Develop computer vision models: build, train, and optimize deep learning models to analyze surveillance footage for theft detection, employee productivity monitoring, and store traffic analysis.
• Architect and deploy microservice-based solutions that enable seamless integration of computer vision models into cloud or on-premise environments.
• Develop data processing pipelines to handle real-time and batch video data streams, ensuring efficient ETL of video data.
• Integrate computer vision services with existing retail systems (POS, inventory management, employee scheduling) in collaboration with backend and frontend engineers.
• Optimize performance for high accuracy and real-time inference on edge devices or cloud infrastructure, focusing on latency, power consumption, and resource constraints.
• Monitor and improve model performance in production, identify issues, and implement enhancements to accuracy and efficiency.
• Ensure security and privacy compliance with industry standards in handling video footage and sensitive data.

Skills & Requirements

• 7+ years of proven experience in computer vision (object detection, action recognition, multi-object tracking), preferably in retail or surveillance.
• Hands-on experience deploying microservices on cloud platforms (AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies.
• Experience with real-time video analytics and handling large-scale video data.
• Proficiency in Python, C++, or Java.
• Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras) for computer vision model development.
• Strong understanding of microservice architecture, REST APIs, and serverless computing.
• Knowledge of SQL/NoSQL databases, message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes).
• Familiarity with edge computing and hardware acceleration (GPUs, TPUs) for running inference on embedded devices.

Qualifications

• Experience deploying models to edge devices (NVIDIA Jetson, Coral, etc.).
• Understanding of retail operations and typical surveillance challenges.
• Knowledge of data privacy regulations such as GDPR.
• Strong analytical and problem-solving skills; ability to work independently and in cross-functional teams.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.

What We Offer

• Opportunity to shape the future of a high-impact AI startup.
• Collaborative and innovation-driven culture.
• Competitive compensation and growth opportunities.
• Office located in the heart of Madhapur, Hyderabad.

How to Apply

Ready to lead the charge? Send your resume with the subject line “ML-CVE Application” to apply.