Learn More About This Jobs

1,830,743 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.

Business Transformation Consultant-Finance Transformation

Company: IBM

Location: SYDNEY, AU

Posted Dec 17, 2025

The text promotes IBM Consulting's internship program, emphasizing career growth, collaboration with clients, and opportunities for professional development. It highlights a supportive culture, skill-building, and exposure to innovative projects in hybrid cloud and AI, while showcasing a positive outlook on long-term career advancement.

Data Scientist Intern: 2026 - Research Triangle Park

Company: IBM

Location: RESEARCH TRIANGLE PARK, US

Posted Dec 17, 2025

This text describes an internship opportunity at IBM's Business Platform Transformation, highlighting roles in AI and data science with collaborative environments, professional development, and impactful projects. It outlines responsibilities involving machine learning, strategic planning, and project management, along with required technical skills and soft skills.

Oracle Cloud Projects & Grants Lead (Public Sector/K12)

Company: IBM

Location: Irvine, US

Posted Dec 17, 2025

This job description outlines a role as an Oracle Cloud PPM Lead, requiring expertise in managing project portfolio modules, client collaboration, and strategic partnerships. Responsibilities include leading project implementations, configuring systems, and ensuring alignment with business processes. The position demands extensive ERP experience, strong communication skills, and the ability to work in a dynamic environment.

Data Scientist-Advanced Analytics - Junior

Company: IBM

Location: NO City, BR

Posted Dec 17, 2025

This job posting describes a role within IBM Consulting's innovation centers, focusing on data visualization tools like PowerBI, Spotfire, and Tableau. The position requires a bachelor's degree and expertise in data visualization technologies, with emphasis on delivering technical solutions to clients worldwide.

Package Consultant-Oracle HCM Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This text promotes an Oracle Cloud Consultant role at IBM Consulting, emphasizing collaboration, innovation, and career growth opportunities. It highlights working with global clients on hybrid cloud and AI solutions, along with technical expertise requirements and preferred qualifications.

Application Developer - RPA

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes an Application Developer role at IBM, highlighting responsibilities like software development, strategic projects, and career growth opportunities. It emphasizes benefits such as learning resources, global impact, and cross-functional collaboration, while mentioning perks like travel and skill development.

Data Engineer Machine Learning

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes job responsibilities related to designing data systems, maintaining infrastructure for machine learning models, and required qualifications such as a bachelor's degree and specific technical skills. It also mentions preferred postgraduate studies in data.

Consultant Oracle Cloud PPM

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and professional growth. The role involves delivering Oracle Cloud PPM projects, leading solution development, and supporting client success through expertise in finance, technology, and process optimization.

SAP Advanced Variant Configuration (AVC) Lead

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description highlights a role in IBM Consulting's SAP Advanced Variant Configuration team, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and responsibilities involving configuration modeling, governance, and integration with business processes. The position requires expertise in SAP modules and offers flexibility to work from anywhere in the US.

SAP FI Consultant - Group Reporting (Hana)

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and the role's focus on delivering high-quality SAP HANA implementations. It highlights the importance of technical expertise, industry knowledge, and working within IBM's delivery centers to drive technological adoption and client success.

Application Developer-ServiceNow

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This role involves collaborating with global clients on innovative projects, requiring a bachelor's degree and certifications in ServiceNow products, with opportunities for professional growth through strategic partnerships and technology platforms.

Analista de Infra/SRE

Company: IBM

Location: NO City, BR

Posted Dec 17, 2025

This text describes a career opportunity at IBM Consulting focused on digital transformation through agile methodologies and AI-driven processes. It highlights collaboration with clients, innovation in cloud and AI solutions, and a culture emphasizing long-term growth, technical expertise, and creative problem-solving. The role requires DevOps/SRE skills, Kubernetes administration, and automation expertise, with a strong emphasis on career development and impactful outcomes.

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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