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.

Analyste de données (parcours Data Scientist)

Company: IBM

Location: BROMONT, CA

Posted Dec 09, 2025

IBM's Bromont facility is a high-tech manufacturer offering competitive benefits, a safe work environment, and opportunities for growth in data analysis roles. The position includes security checks and eligibility requirements for Canadian citizens or permanent residents.

Network and Computer Systems Administrator Apprenticeship

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 09, 2025

IBM's apprenticeship program offers opportunities to learn, grow, and contribute to innovative technology solutions. The role involves system administration tasks, with structured training and potential for full-time employment post-graduation. Requirements include technical skills and a willingness to learn, with support for career development.

Senior Managing SAP Data Lead

Company: IBM

Location: No City, US

Posted Dec 09, 2025

This job description outlines a Data Migration Lead role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP systems, and responsibilities spanning project planning, data assessment, stakeholder coordination, and compliance. It highlights opportunities for professional growth and impact through innovative technology solutions.

Oracle Payroll Specialist

Company: IBM

Location: Leicester, GB

Posted Dec 09, 2025

IBM CIC offers diverse career opportunities with focus on professional growth, innovative solutions, and a supportive work environment. The role includes leadership responsibilities, technical expertise, and benefits like training programs, flexible working, and career development. The company emphasizes collaboration, compliance, and a culture of continuous improvement.

Back End Storage Developer S3

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a Back End Storage Developer role at IBM with opportunities to innovate, collaborate, and solve complex problems. The position requires expertise in storage systems, software development, and Agile methodologies, while emphasizing leadership and technical leadership skills.

AI Driven Skills Growth Development Intern (May 2026 – 16 months)

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

A 16-month development intern role in Markham requiring full-time studies, focusing on AI tools and sales enablement projects with tech skills in Python, Java, and LLMs.

Business Transformation Consultant-Finance Analytics - Sydney - 17.4 Months FTH

Company: IBM

Location: SYDNEY, AU

Posted Dec 09, 2025

IBM is seeking a Business Transformation Consultant with expertise in IBM Planning Analytics TM1 and cloud technologies. The role involves leading technical implementations, collaborating with stakeholders, and driving digital transformation initiatives. The position offers career growth opportunities within a global technology leader.

セキュリティ・プロジェクトマネージャ/アーキテクト/テクニカルス ペシャリスト

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on security systems and innovation, emphasizing collaboration with global clients, technological advancement, and professional growth opportunities. The role involves managing security projects, leveraging expertise in SIEM, SOAR, and network security, while fostering a culture of curiosity and creativity.

Deputy Program Manager

Company: IBM

Location: Singapore, SG

Posted Dec 09, 2025

This text describes a Deputy Programme Manager role at IBM Consulting, emphasizing collaboration, innovation, and career growth opportunities. It outlines responsibilities across programme operations, stakeholder management, and team leadership, while highlighting required expertise in IT transformation and cloud technologies.

Intern 2026: Quantum Software Applications

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Research emphasizes innovation, problem-solving, and technological impact. The internship involves quantum solutions, software development, and collaboration with partners. Required skills include quantum computing knowledge and Qiskit expertise, with a focus on practical applications and growth opportunities.

Managing Consultant - SAP S/4HANA FI (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes an IBM Consulting role emphasizing technical expertise, global collaboration, and innovation in hybrid cloud and AI. It highlights career growth opportunities, SAP S4HANA focus, and required skills like process consulting and multilingual proficiency.

Testing intership GDL

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

IBM's internship offers career growth through collaboration with global clients, skill development, and diverse projects in software quality testing. The role emphasizes continuous learning, innovation, and contributing to high-quality software delivery.

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