Learn More About This Jobs
1,831,374 open positions · Updated daily
The Learn More About This sector is experiencing explosive growth, fueled by breakthroughs in reinforcement learning and large‑language‑model deployment. With 8,233 positions posted, companies—from fintech startups to global cloud providers—are hunting talent to accelerate product innovation and stay competitive.
Roles span from Research Scientist and ML Engineer to AI Product Manager and Data Scientist. Core responsibilities include designing end‑to‑end pipelines with TensorFlow or PyTorch, fine‑tuning GPT‑based models on Hugging Face, optimizing inference for low‑latency edge devices, and translating research into production‑ready services on AWS SageMaker or GCP Vertex AI.
Salary transparency is crucial for professionals in this field because compensation is highly variable and tied to niche skill sets. Knowing the exact pay brackets for each seniority level enables candidates to negotiate aggressively, avoid under‑paying, and align their career trajectory with industry standards.
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This job description outlines a Technical Account Manager role at IBM, emphasizing technical expertise, client collaboration, and 24x7 support responsibilities. It lists required qualifications, preferred experience, and the need for adaptability in a dynamic environment.
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Location: Krakow, PL
Posted Dec 09, 2025
This job posting seeks DevOps Engineers to build and maintain a CICD pipeline for IBM container products. Responsibilities include implementing pipeline operations, collaborating with teams, automating processes, and providing technical support. Requirements emphasize experience with DevOps tools, scripting languages, and cloud technologies.
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The text describes a career opportunity at IBM Technology Expert Labs emphasizing worldclass services, collaborative culture, and impactful problem-solving. It highlights required expertise in automation, cloud integration, and DevOps, while promoting career growth through experiential learning and global collaboration.
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The text describes a career in IBM Consulting focused on long-term client collaboration, digital transformation, and innovation. It highlights responsibilities in recruitment, sourcing strategies, and partnership management, emphasizing growth opportunities and supportive work environments.