Qualified Applicants Opportunities Jobs

1,403,468 open positions · Updated daily

Now the demand for Qualified Applicants in AI and machine learning is at an all‑time high. Companies across fintech, healthcare, and autonomous systems are hiring data scientists, ML engineers, and AI researchers to accelerate product innovation. The influx of new AI products and the rapid shift to cloud‑native AI stacks mean that qualified professionals can secure roles with immediate impact and competitive compensation.

Within Qualified Applicants Opportunities you’ll find roles such as Data Scientist, ML Engineer, AI Researcher, and Deep‑Learning Specialist. Typical responsibilities include building end‑to‑end pipelines with TensorFlow or PyTorch, deploying models to Kubernetes clusters, conducting statistical analysis on large datasets, and collaborating with product teams to translate research into production‑ready features.

Salary transparency is critical for professionals in these fields because it reveals the true market value of specialized skills like reinforcement learning or generative modeling. When companies publish pay ranges, candidates can assess whether a role matches their experience with hyper‑parameter tuning, GPU optimization, and model explainability. Transparent pay also signals a culture that values fairness and technical merit, which is essential for retaining top AI talent.

IBM Concert - Workflow Developer

Company: IBM

Location: Kochi, IN

Posted Dec 08, 2025

This role involves leading workflow development, collaborating with cross-functional teams, and leveraging technical expertise in Python and Ansible to create innovative solutions. The position emphasizes growth opportunities, professional development, and contributing to cutting-edge AI-powered cloud-native software for global customers.

Principal Engineer - HashiCorp Core Data

Company: IBM

Location: Multiple Cities

Posted Dec 08, 2025

This job description highlights a Principal Engineer role at IBM focusing on innovative cloud solutions, technical leadership, and strategic initiatives. The position emphasizes collaboration between IBM and HashiCorp, requiring expertise in distributed systems and a commitment to engineering excellence. It offers opportunities to shape technical direction and drive impactful projects.

Senior Data Scientist - mit sehr guten Deutschkenntnissen (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 08, 2025

The text highlights IBM Consulting's career opportunities focusing on global client collaboration, innovation in hybrid cloud and AI, and professional growth through technical expertise and strategic partnerships. It emphasizes problem-solving, machine learning, and teamwork in a supportive environment.

Netezza Admin

Company: IBM

Location: Multiple Cities

Posted Dec 08, 2025

The text describes a job role at IBM focusing on administering Netezza/PureData systems, requiring technical expertise in database management, scripting, and troubleshooting. It emphasizes collaboration, problem-solving, and opportunities to innovate in a mission-critical environment.

Sales / Business Development Manager - IBM Academic Program

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

IBM seeks a Sales Business Development Manager to drive growth of their Academic Program in India, requiring strategic planning, partner engagement, university relationships, and market analysis. The role emphasizes innovation, collaboration, and achieving sales targets in the EdTech sector.

SAP IS-U Billing FI-CA Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 08, 2025

IBM's job posting highlights a dynamic, inclusive culture focused on innovation and professional growth, seeking experienced SAP professionals for impactful roles in Energy & Utilities with opportunities for collaboration and technological advancement.

Senior Solutions Engineer

Company: IBM

Location: AUCKLAND, NZ

Posted Dec 08, 2025

This job description highlights opportunities to contribute to IBM's cloud solutions, work with HashiCorp tools, and collaborate on enterprise-grade infrastructure. It emphasizes technical expertise, customer engagement, and cross-functional teamwork in a dynamic environment.

Senior Solutions Engineer

Company: IBM

Location: SYDNEY, AU

Posted Dec 08, 2025

This role offers opportunities to innovate in cloud solutions, collaborate with teams, and drive customer success through technical expertise and strategic guidance.

Data Engineer-Data Platforms

Company: IBM

Location: Mumbai, IN

Posted Dec 08, 2025

The role involves developing customized systems for IBM clients, requiring a bachelor's degree and Python/Spark expertise, with opportunities for global impact and career growth.

Procurement Operations Buyer

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

The text describes a procurement role at IBM emphasizing collaborative innovation, problem-solving, and professional growth. It outlines responsibilities like managing purchase orders, reporting, and client support, while highlighting required skills such as communication, adaptability, and technical expertise in SAP/ARIBA. The tone is encouraging, focusing on opportunities to lead and make an impact.

Senior Designer - HashiCorp

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

This text promotes a career opportunity at IBM Software and HashiCorp, highlighting collaboration on cloud-native solutions, security tools, and infrastructure management. It emphasizes innovation, team expertise, and the impact of the role on enterprise cloud strategies.

Application Architect-SAP ADM

Company: IBM

Location: Multiple Cities

Posted Dec 08, 2025

This role offers opportunities to work with clients on SAP solutions, emphasizing collaboration, innovation, and professional growth through technical expertise and strategic projects.

Frequently Asked Questions

What are the typical salary ranges for Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

Related Pages