McLaren Strategic Solutions - Computer Vision Engineer - Machine Learning/Deep Learning (2-4 yrs)

Company Overview :

McLaren Strategic Solutions (MSS) is a specialized technology consultancy that empowers enterprises to accelerate their digital transformation journey. By bridging the gap between complex business challenges and cutting-edge engineering, MSS delivers high-impact solutions across sectors including automotive, manufacturing, and industrial automation. With a focus on precision and scalability, the company integrates advanced software engineering with data-driven insights to optimize operational efficiency for global clients.

Role Overview :

As a Computer Vision Engineer based in Bangalore, you will be at the forefront of developing intelligent systems that interpret and process visual data to solve real-world industrial problems. You will work closely with cross-functional teams of data scientists, software architects, and domain experts to design, train, and deploy robust vision models. Your contributions will directly influence the performance of automated systems, ensuring that our clients can leverage high-fidelity image analysis to drive smarter decision-making and improve product quality.

Key Responsibilities :

- Architect and implement end-to-end computer vision pipelines to automate complex visual inspection tasks for industrial applications.

- Develop and optimize deep learning models for object detection, classification, and segmentation to enhance the accuracy of automated systems.

- Refine image processing algorithms to handle diverse environmental conditions, ensuring high reliability in production-grade deployments.

- Collaborate with engineering teams to integrate vision models into scalable software platforms, ensuring seamless data flow and low-latency performance.

- Analyze large-scale datasets to identify patterns and anomalies, providing actionable insights that improve system robustness and business outcomes.

Required Skillset :

- Demonstrated expertise in Computer Vision and Image Processing techniques, with a strong grasp of both classical algorithms and modern deep learning frameworks.

- Proven ability to design and implement efficient Data Structures and algorithms to optimize model performance and inference speed.

- Strong proficiency in Machine Learning and Pattern Recognition, with a track record of building models that generalize well across varied datasets.

- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders effectively.

- A minimum of 2 to 4 years of hands-on experience in developing and deploying production-ready vision solutions.

- A degree in Computer Science, Electronics, or a related quantitative field, combined with the ability to thrive in a collaborative, office-based environment in Bangalore.