ML Engineer - Jarmin
Gravity Engineering Services Pvt Ltd.
Key Responsibilities Design, develop, and deploy end‑to‑end machine learning pipelines that enable AI employees to perform complex, human‑level tasks. Collaborate with cross‑functional teams to define problem statements, gather data, and translate business requirements into technical solutions. Implement state‑of‑the‑art deep learning models, optimize training workflows, and ensure model robustness and fairness. Maintain and scale cloud‑based infrastructure (AWS) for data storage, model training, and inference serving. Continuously monitor model performance, conduct A/B testing, and iterate on models to improve accuracy and efficiency. Requirements 5+ years of experience in machine learning engineering, with a strong portfolio of production‑grade models. Proficiency in Python, deep learning libraries (TensorFlow, PyTorch), and data engineering tools. Hands‑on experience deploying models on cloud platforms, preferably AWS. Strong analytical skills, ability to work independently, and excellent communication. #J-18808-Ljbffr Gravity Engineering Services Pvt Ltd.
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- Check out 1962 new Machine Learning Engineer opportunities posted on AI Chopping Block Design, build, and maintain scalable machine learning... ..., testing, and deployment. Develop and optimize end-to-end ML pipelines encompassing data collection, labeling, training, validation...Flexible hours
$200k - $300k
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$150k - $300k
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