AI/CV Engineer

AjnaLens

5-7 Years

Not Disclosed

Thane, India

Posted 22 hours ago
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Job Description

Namaskaram!

AjnaLens is looking for an AI/CV Engineer to join our Engineering team at Thane (Maharashtra – India).

We are looking for a hands-on professional with 5+ years of experience in AI/ML, Computer Vision, and Deep Learning, with practical experience in Generative AI, LLMs, Vision-Language Models, and multimodal AI. The ideal candidate should be able to take AI solutions from problem definition and experimentation to development, integration, deployment, and optimization.

Top 3 Daily Tasks:

Develop and deploy AI/ML and Computer Vision solutions for image, video, and real-world applications.
Build and integrate Generative AI, LLM, VLM, and multimodal solutions, including RAG, embeddings, and semantic search.
Train, evaluate, and optimize AI models for accuracy, latency, reliability, and real-world performance.

Minimum Work Experience / Education Required:

5+ years of relevant industry experience in AI/ML, Computer Vision, or related fields.
Bachelor's or Master's degree in Computer Science, AI/ML, Computer Vision, or a related field.
Strong hands-on experience taking AI/ML solutions from development to production.

Top 5 Skills You Should Possess:

Strong Python programming skills with experience in PyTorch and/or TensorFlow.
Strong knowledge of Computer Vision, including detection, classification, segmentation, tracking, and image/video analysis.
Practical experience with Generative AI, LLMs, VLMs, RAG, embeddings, and multimodal AI.
Experience with model training, fine-tuning, evaluation, error analysis, and optimization.
Hands-on experience with OpenCV, YOLO or similar frameworks, ONNX/TensorRT, and GPU/CUDA environments.

What You'll Be Expected to Do:

Develop and deploy Computer Vision and Deep Learning models for image and video applications.
Build solutions for object detection, segmentation, tracking, recognition, OCR, anomaly detection, and activity recognition.
Develop and integrate LLM and Generative AI solutions, including RAG, embeddings, vector databases, and tool/function calling.
Work with Vision-Language Models and multimodal AI systems.
Prepare datasets, train and fine-tune models, and evaluate model performance.
Optimize AI models and inference pipelines for accuracy, latency, memory, and computational efficiency.
Deploy AI solutions across cloud, edge, or real-time environments.
Collaborate with Product and Engineering teams to convert business requirements into practical AI solutions.

Nice-to-Have Skills:

Experience with AI agents, multimodal AI, or model fine-tuning.
Experience with real-time Computer Vision and edge AI.
Experience with AR/VR/MR or wearable technologies.
Experience with industrial, automotive, manufacturing, or inspection applications.
Experience with cloud-based AI/ML deployment.

Before applying, please go through the links below to learn more about us.

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