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.

Technical Product Manager Cloud Pak for Business Automation

Company: IBM

Location: Austin, US

Posted Dec 15, 2025

This job description outlines a Lead Technical Product Manager role for IBM's Cloud Pak for Business Automation, emphasizing strategic leadership, cross-portfolio collaboration, and expertise in AI, DevOps, and product management. Key responsibilities include defining roadmaps, conducting competitive analysis, and fostering Agile teams. Required skills include product management experience, technical knowledge of modern architectures, and financial acumen.

Application Developer-Experience FullStack

Company: IBM

Location: NO City, BR

Posted Dec 15, 2025

This text promotes an IBM Consulting career emphasizing long-term client collaboration, digital transformation through agile methodologies and AI-driven workflows, and opportunities for innovation, career growth, and technical expertise development in a supportive ecosystem.

Talent Acquisition – Selection Specialist (Fixed Term) PH

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description for a Recruiting Selection Specialist at IBM highlights opportunities to lead in technology, solve complex problems, and collaborate with stakeholders. The role emphasizes continuous learning, innovative approaches, and a growth mindset while managing high-volume hiring processes and leveraging data-driven strategies.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, stakeholder engagement, and technical expertise in Java, React, and cloud technologies. The role involves comprehensive software development, continuous learning, and delivering impactful solutions for innovative companies.

Consultor SAP Integration (BTP, CPI)

Company: IBM

Location: SANTIAGO DE CHILE, CL

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP integration, and opportunities to drive innovation through advanced technology platforms.

Application Developer - Experience Fullstack

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

This job description outlines a Software Developer role at IBM Consulting, involving work in delivery centers to deliver technical expertise and innovation for clients. Responsibilities include software development, problem-solving, and collaboration, with requirements for specific technical skills and experience.

Systems Performance Analyst

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes IBM's Z Systems and zVM virtualization technology, highlighting its secure and scalable environment for running Linux and other operating systems. It outlines job responsibilities for software engineers, including performance analysis, workload evaluation, and collaboration with global teams. Required skills include Linux expertise, virtualization experience, and performance tuning capabilities.

Data Engineer

Company: IBM

Location: Heredia, CR

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, innovation, and professional growth opportunities. The role requires data engineering expertise and involves working with advanced technologies to deliver impactful results.

Application Architect – EHS, Quality & PLM Systems

Company: IBM

Location: San Francisco, US

Posted Dec 15, 2025

This job description outlines an Application Architect role at IBM Consulting, focusing on designing enterprise systems, ensuring compliance with regulations, and collaborating with global clients. The position offers remote work flexibility and emphasizes innovation in hybrid cloud and AI solutions.

Application Developer-Oracle Middleware

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and technical expertise in areas like ODI, Oracle Database Integrator, and API integration. It outlines responsibilities such as feature development, stakeholder collaboration, and continuous learning, along with educational and technical requirements for the position.

WR - C2M Functional Consultant

Company: IBM

Location: Dallas, US

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on collaborative client work, hybrid cloud and AI innovation, and system design expertise. It outlines responsibilities like requirements gathering, gap analysis, and technical configuration while emphasizing strategic partnerships and impactful change.

Quality Engineer-Data

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting's delivery centers, emphasizing technical expertise, team collaboration, training skills, and qualifications such as a bachelor's degree and SQL proficiency.

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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