Learn More About This Jobs

1,832,043 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.

Project Manager – SAP HANA (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

The text describes a role at IBM Consulting where the individual will work closely with clients worldwide to improve their hybrid cloud and AI journey. The role involves project planning, management, and implementation, with a focus on SAP projects. The ideal candidate should have experience in SAP project management, knowledge of SAP S/4HANA modules, and strong communication and problem-solving skills.

Team Leader SAP ATTP

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as an Application Architect for SAP Advanced Track and Trace for Pharmaceuticals (ATTP). The role involves designing and delivering end-to-end serialization and traceability solutions for clients in the life sciences industry, ensuring compliance with global regulations and seamless integration within digital supply chains. The position requires strong technical expertise in SAP ATTP, SAP ERP, SAP ICH, SAP EM, and SAP S/4HANA, as well as excellent communication and stakeholder management skills.

SAP Functional Consultant - RTR

Company: IBM

Location: Bedford, CA

Posted Dec 07, 2025

This job description highlights a career in IBM Consulting focused on SAP Finance expertise, global client collaboration, and innovation in hybrid cloud and AI. Responsibilities include SAP implementation, compliance, and cross-functional teamwork with emphasis on technical and industry expertise.

System Support Tech Apprentice

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 07, 2025

IBM offers an apprenticeship program for Systems Support Apprentices to work with experienced engineers and mentors, applying hardware knowledge and learning new technologies. The program provides a nationally-recognized credential and the opportunity to apply for full-time roles at IBM upon completion.

Test and Failure Analysis Engineer for Storage Hardware

Company: IBM

Location: Houston, US

Posted Dec 07, 2025

This job description outlines a role within IBM's Infrastructure Storage Hardware Organization, focusing on hardware and firmware design, verification testing, and debugging for storage systems. Responsibilities include failure analysis, testing new platforms, and collaboration with development teams. Required skills involve hardware expertise, Linux experience, and communication abilities.

エンタープライズのお客様向け・パートナーセールス

Company: IBM

Location: Tokyo, JP

Posted Dec 07, 2025

This job posting highlights IBM's recruitment for a sales role focused on enterprise customers in finance, manufacturing, and retail. The position emphasizes collaboration with partners, innovative solutions, and building strategic technology partnerships. It outlines key responsibilities, required skills, and the company's commitment to growth and skill development.

AI Software Engineer

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 07, 2025

The text is a job posting for an internship at IBM, focusing on developing AI solutions for IBM Z mainframe environments. The role involves working with cutting-edge AI technologies, building automation scripts, and collaborating with cross-functional teams to modernize mainframe workflows.

Application Developer-Oracle Cloud Reports

Company: IBM

Location: BANGALORE, IN

Posted Dec 07, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. The consultant will serve as a client-facing practitioner, selling and implementing expert services using IBM's offerings and technologies. The role requires building, automating, and releasing solutions based on client priorities, exploring and resolving issues, and ensuring integration solutions meet client specifications and are delivered on time.

Sales Development Representative Intern - Entry Level Sales Program 2026

Company: IBM

Location: Markham, CA

Posted Dec 07, 2025

IBM's Sales Internship Program offers a collaborative and experiential environment for students to develop sales skills, engage with clients, and contribute to digital transformation solutions. The role emphasizes technical expertise, client-focused approaches, and growth opportunities within a supportive team.

Package Consultant-Oracle Finance Cloud

Company: IBM

Location: Kolkata, IN

Posted Dec 07, 2025

This job description outlines a role in IBM's consulting delivery centers, requiring expertise in Oracle applications, Agile methodologies, and technical solutions. Responsibilities include partnership development, system implementation, and training, with emphasis on Oracle R12 and cloud experience.

Infrastructure Specialist-AWS DevOps

Company: IBM

Location: BANGALORE, IN

Posted Dec 07, 2025

This job description outlines a role at IBM Consulting's Client Innovation Centers, focusing on IT infrastructure, AWS cloud services, and technical expertise. Requirements include a bachelor's degree, specific technical skills in Python, AWS, and DevOps tools, along with experience in cloud environments and scripting languages.

Senior Managing Consultant – SAP HANA SCM EWM

Company: IBM

Location: COPENHAGEN, DK

Posted Dec 07, 2025

This job description highlights a career in IBM Consulting with opportunities to work on innovative projects, collaborate with global clients, and develop expertise in SAP solutions. It emphasizes career growth, technical challenges, and the impact of the role on client success.

Frequently Asked Questions

What are the typical salary ranges for Learn More About This roles at different seniority levels?
Entry‑level positions start around $90,000–$120,000. Mid‑level roles range $120,000–$160,000. Senior experts earn $160,000–$220,000, while Lead or Principal positions can reach $220,000–$300,000.
Which technical skills and certifications are most valued for Learn More About This positions?
Proficiency in Python, TensorFlow, PyTorch, and Hugging Face Transformers is essential. Cloud AI expertise with AWS SageMaker, GCP Vertex AI, or Azure Machine Learning is highly sought. Certifications such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, and Microsoft Certified: Azure AI Engineer Associate give a competitive edge.
Can I work remotely in Learn More About This roles?
Yes—over 70% of listings offer fully remote or hybrid arrangements, especially for research and engineering positions. Many employers provide flexible schedules and advanced collaboration tools to support distributed teams.
What career progression paths exist for Learn More About This professionals?
Typical trajectories move from Junior ML Engineer → Senior ML Engineer → Lead Data Scientist → Principal AI Researcher → VP of AI. Each step involves deeper research responsibilities, larger project ownership, and strategic influence over product direction.
What are the current industry trends shaping Learn More About This?
Key trends include reinforcement learning for autonomous decision systems, large‑language‑model scaling, edge AI deployment, federated learning for privacy, and a growing focus on AI ethics and explainability. Companies are investing heavily in LLM‑based APIs and real‑time inference on edge devices.

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