Computer Vision Engineer

Original Post

We are looking for a AI \- Engineer to join our growing team to help design, build, fine\-tune, and deploy cutting \- edge generative AI models and agentic systems. You will work on the full lifecycle of foundational model development \- involving both large and small language models (LLMs and SLMs) \- to create scalable AI solutions that address diverse needs across different business domains. This role is ideal for proactive individuals with a strong foundation in machine learning and an experimental mindset, who are passionate about driving transformative advancements in AI from research to real\-world production impact. **Key Responsibilities:** * Develop and train foundational AI models across modalities such as text\-to\-text, text\-to\-speech, automatic speech recognition, and vision language. * Fine\-tune and adapt models for specific tasks and domains. * Build and maintain pipelines for data curation, preprocessing, training, evaluation, and continuous improvement of models. * Implement debugging, CI/CD, and observability to ensure reliability and efficiency across the development lifecycle. * Develop retrieval\-augmented generation (RAG) pipelines and optimize prompt engineering strategies. * Optimize training and inference performance through quantization, distributed training/inference, GPU/TPU acceleration. * Monitor, benchmark, and improve model performance with a focus on accuracy, efficiency, and reducing hallucinations. * Collaborate with cross\-functional teams to build robust AI stacks and integrate them seamlessly into production pipelines for deployment. * Document technical processes, AI model architectures, and experimental results, while maintaining well\-structured, version\-controlled code repositories. * Stay current with advancements in transformer architectures, open\-source releases, and AI tooling. **Minimum Qualifications and Experience:** * Bachelor’s or Master’s in Computer Science, AI/ML, Data Science or any related field with 2 to 5 years of industry experience in applied machine learning or AI development. **Required Expertise:** * Proficiency in Python programming with solid foundation in computer science fundamentals such as data structures and algorithms. * Strong problem\-solving skills and demonstrated ability to lead projects. * Hands\-on experience with a few of the tools listed below: * One or more model libraries and ML frameworks such as TensorFlow, PyTorch, HF Transformers, NeMo, etc. * AI application libraries and orchestration frameworks such as DSPy, Langgraph, Langchain, Llamaindex, etc. * GPU/TPU based training and inference using libraries such as vLLM. * Distributed training tools such as SLURM, Ray, Pytorch DDP, NCCL, etc. * Version control, observability systems, and MLOps tools such as Git, DVC, W\&B, MLFlow, KubeFlow, etc. * Data analysis and curation tools such as Dask, Milvus, Apache Spark, Numpy, etc. * Chunking, embeddings, vector databases (e.g., Pinecone, Weaviate, Milvus), and retrieval\-augmented generation (RAG). * Model context protocol (MCP), Agent to Agent (A2A), and Agent Communication Protocol (ACP). * Team player with excellent interpersonal skills and ability to collaborate effectively with remote team members. * Go\-getter attitude and ability to flourish in a fast\-paced, startup environment. * Prior experience of building and deploying LLMs or SLMs, experience with multimodal models, and track record of contributions to open\-source AI/ML projects would be a big plus. Work Location: In person