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We are seeking Developers who are eager to grow, experiment, and work on challenging technical problems. As an AI/ML Engineer - I at GeekyAnts, you'll be joining a fast-paced environment where you'll contribute to real projects from Day 1 and gain exposure to the latest trends in software engineering and AI.
Key Responsibilities
Qualifications:
As part of the final selection process, this role will require you to attend an in-person interview at Geekyants office.
Job ID: 116663081
Skills:
Microservices, Tensorflow, Pytorch, Terraform, Python, AWS, Rust, Cloudformation, Devops, Jenkins, Git, Gcp, FastAPI, Azure, Kubernetes, machine learning frameworks, Hugging Face Transformers, Go, MLflow, TF Serving, vector database management, GitHub Actions, TorchServe, LangChain, big data processing using Spark, vLLM, test-driven development, model quantization techniques, CI CD pipelines
Skills:
Machine Learning, Natural Language Processing, MLops, Artificial Intelligence, Deep Learning, cloud, XGBoost, Tensorflow, Pytorch, generative ai, model training, fine tuning, prompt engineering, peft, machine learning evaluation, embedding, ai agents, rag, large language models, vector database, lightgbm, ml systems
Skills:
data engineering , Machine Learning, Algorithms, Pandas, Data structures, Python, Standard ML algorithms, LLM-based solutions, Software design principles
Skills:
S3, PostgreSQL, Tensorflow, Lambda, Javascript, Ec2, Pytorch, Docker, XGBoost, Python, Node.js, Redis, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, TorchScript, Pinecone, ONNX, Stable Diffusion, Detectron2, controlnet, YOLO, AWS SageMaker, Diffusers
Skills:
AWS, Python, Api Development, Linux, LangChain, n8n, Git-based development workflows, Infrastructure automation, Vector databases, Generative AI, AI Agent development, LangGraph