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.

Data Scientist Intern 2026 (Lansing, MI)

Company: IBM

Location: Lansing, US

Posted Dec 09, 2025

This text promotes IBM Consulting's internship program, emphasizing career growth opportunities, skill development, and a supportive environment for professionals seeking to advance their careers through hands-on experience with cutting-edge technologies and mentorship.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting focusing on long-term client relationships, digital transformation, and professional growth. It highlights collaboration with industry visionaries, strategic partner ecosystems, and mentorship programs. The role emphasizes HR processes, technical expertise, and communication skills for success in a dynamic work environment.

UX Design Lead

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job posting highlights opportunities to lead UX design teams, create innovative AI-powered solutions, and collaborate with cross-functional teams. It emphasizes experience in enterprise design, leadership in agile methodologies, and delivering user-centric outcomes for global customers.

Senior Data Engineer-Data Integration

Company: IBM

Location: Giza, EG

Posted Dec 09, 2025

This job description highlights a Data Engineer role at IBM with opportunities to design systems, drive innovation, and contribute to global projects. The position emphasizes career growth, technical expertise in data integration tools, and impactful work on enterprise systems.

Package Consultant-SAP BTP

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This role involves working in IBM's delivery centers to deliver SAP solutions, collaborate with clients, and drive innovation through technical expertise and skill development opportunities.

Cobol Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in mainframe systems, and opportunities for career growth through continuous learning and problem-solving.

Software Developer Intern 2026- New York

Company: IBM

Location: New York, US

Posted Dec 09, 2025

IBM's internship offers hands-on experience with cutting-edge technologies, mentorship from industry experts, and a clear path to full-time roles. The program emphasizes real-world impact, collaborative learning, and professional growth through networking opportunities and project contributions.

Package Specialist-SAP HANA FIN CO

Company: IBM

Location: Shenzhen, CN

Posted Dec 09, 2025

This job description outlines a role as an SAP FICO Consultant in IBM Consulting, focusing on implementing and configuring SAP Finance and Controlling modules in brownfield environments. It emphasizes collaboration with clients, technical expertise in SAP systems, and requirements for a bachelor's degree, relevant certifications, and experience with SAP modules like MM, SD, and RISE with SAP. The position also highlights teamwork, communication skills, and adaptability in dynamic environments.

Delivery Consultant - Cloudera

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text promotes an IBM Technology Expert Labs role emphasizing career growth, collaborative innovation, and impactful problem-solving. It highlights world-class services, client-focused collaboration, and professional development opportunities within a supportive and experiential work environment.

Senior Managing Consulting Deal Leader Public Sector - SAP S/4HANA Procurement - (m/f/x)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting highlights IBM's opportunity for a Sales Deal Leader focused on SAP expertise and business growth. The role emphasizes client relationships, innovation, and market expansion while requiring strong sales skills and German language proficiency.

Programa de Prácticas - Business Analyst

Company: IBM

Location: SANTIAGO DE CHILE, CL

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to drive technological advancements. It outlines responsibilities involving process improvement, project management, and working with cross-functional teams in delivery centers.

Data Scientist - Artificial Intelligence (f/m/x)

Company: IBM

Location: WIEN, AT

Posted Dec 09, 2025

The text promotes IBM Consulting's career opportunities, highlighting collaboration with global clients, innovative technologies, and professional growth. It emphasizes a supportive culture, technical expertise, and competitive compensation, portraying a positive work environment with clear career development paths.

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