Associate Principal\Lead- Computer Vision Specialist

Job Title : Associate PrincipalLead- Computer Vision Specialist

Location : Chennai, Bangalore, Hyderabad

Computer Vision Specialist

Location: Chennai, Bangalore, Hyderabad

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Curious about the role? What your typical day would look like?

As a Senior/Lead Computer Vision Specialist, you will be at the forefront of AI innovation focusing on visual intelligence. Your role will involve designing, deploying, and operationalizing sophisticated vision models-ranging from Convolutional Neural Networks (CNNs) to Vision-Language Models (VLMs)-to solve complex business problems. You will work closely with cross-functional teams to create scalable, production-ready Computer Vision solutions deployed across both cloud architectures and edge devices, driving intelligent automation and insights across industries.

What do we expect?

• Computer Vision & Deep Learning: Design, develop, deploy, and scale advanced applications using Convolutional Neural Networks (CNNs) targeted for both robust cloud architectures and constrained edge environments.
• Image Processing: Leverage OpenCV and traditional image processing techniques alongside modern deep learning approaches to build robust, end-to-end visual pipelines.
• Model Optimization & Quantization: Apply model quantization, pruning, and optimization techniques to ensure efficient inference and low-latency performance on edge devices.
• ML Training & Evaluation Pipelines: Design, build, and maintain scalable ML training and evaluation pipelines to handle large volumes of image and video data consistently.
• Model Serving at Scale: Implement highly scalable model inference using industry-standard model servers such as Ray Serve, NVIDIA Triton Inference Server, or similar technologies.
• Vision-Language Models (VLM): Utilize hands-on experience working with Vision-Language Models (VLM) for multi-modal tasks, visual Q&A, and advanced visual understanding.
• Software Engineering & Development: Utilize strong Python development experience to build end-to-end MLOps solutions. C++ development experience is good to have for performance-critical vision algorithms.
• Client Engagement & Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate CV solutions into broader architectures, and work directly with clients to tailor AI solutions.

Qualifications

• Overall 5-9 years of professional experience with real-world, hands-on exposure to Computer Vision, Machine Learning Engineering (MLE), and MLOps.
• Extensive expertise in deep learning frameworks (PyTorch, TensorFlow) and computer vision libraries (OpenCV, PIL, scikit-image).
• Proven experience in building CV models that are scalable, reliable, and production-ready across varied deployments.
• Familiarity with containerization (Docker), orchestration (Kubernetes), model tracking (MLflow, Weights & Biases), and cloud platforms (AWS/GCP/Azure) for deploying AI solutions at scale.
• Strong communication skills with the ability to translate complex technical concepts into business-friendly insights and recommendations.

You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.