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.

Sr Managing Consultant- Supply Chain Procurement

Company: IBM

Location: Multiple Cities

Posted Dec 18, 2025

This job posting highlights opportunities to work with global industry leaders, drive transformative supply chain projects, and access career growth in an innovation-driven environment. IBM Consulting seeks a Senior Managing Consultant with expertise in supply chain transformation, AI, and global collaboration, emphasizing impactful client engagement and strategic leadership.

Analyste Développeur .Net OCR (Val de Fontenay)

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 18, 2025

The text promotes IBM Consulting's role in innovative cloud and AI solutions, emphasizing collaboration with global clients, career growth, and technical expertise. It highlights strategic initiatives for digital identity compliance and development opportunities in a supportive environment.

Procurement Professional

Company: IBM

Location: BANGALORE, IN

Posted Dec 18, 2025

This job description highlights IBM's Finance & Operations role, emphasizing career growth, skill development, and collaborative innovation in a dynamic global environment. The position requires procurement expertise in SAP and supply chain concepts, with opportunities for advancement and impactful contributions.

Network Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 18, 2025

IBM Consulting offers roles in cloud and AI innovation, emphasizing collaboration, technical expertise, and career growth through global client partnerships and continuous learning.

Sr Managing Consultant Supply Chain - Planning & Logistics

Company: IBM

Location: Multiple Cities

Posted Dec 18, 2025

This job posting highlights opportunities to work with global leaders, drive transformative supply chain projects, and access career growth in an innovative environment. IBM Consulting seeks a Senior Managing Consultant with expertise in supply chain transformation, AI, and logistics systems to lead strategic initiatives and collaborate on large-scale programs.

Senior Managing SAP Advanced Variant Configuration (AVC)

Company: IBM

Location: Multiple Cities

Posted Dec 18, 2025

This job description outlines the SAP AVC Lead role at IBM Consulting, emphasizing collaboration on hybrid cloud and AI projects, growth opportunities, and technical expertise in SAP systems. The role highlights responsibilities in configuration modeling, integration with business processes, and continuous improvement, while promoting a culture of innovation and career development.

BPO Strategy Consultant

Company: IBM

Location: Tokyo, JP

Posted Dec 18, 2025

This role involves consulting and innovating BPO services, collaborating with clients for transformative solutions, and offering career growth opportunities at IBM. The position emphasizes co-creation partnerships, technological integration, and driving digital transformation through strategic consulting and project management.

Talent Acquisition Partner (RPO) Querétaro

Company: IBM

Location: Mexico City, MX

Posted Dec 18, 2025

This text describes a Talent Acquisition Partner role at IBM, outlining responsibilities such as managing recruitment processes, collaborating with hiring managers, and ensuring client satisfaction. It details required qualifications, including a bachelor's degree, 7+ years of recruitment experience, and bilingual proficiency. The role emphasizes client management, data analysis, and contributing to talent acquisition strategies.

Talent Acquisition – Selection Specialist (Fixed Term)-PH

Company: IBM

Location: Multiple Cities

Posted Dec 18, 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 contributing to global hiring initiatives while maintaining data integrity and system integrations.

Product Management - junior

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 18, 2025

This job description highlights opportunities to build foundational skills, collaborate across disciplines, and make a meaningful impact on IBM's product strategy. The role involves cross-functional teamwork, innovation, and contributing to strategic programs while gaining domain expertise in product lifecycle management.

Application developer-Mobile IOS

Company: IBM

Location: NO City, BR

Posted Dec 18, 2025

IBM Consulting offers career opportunities focused on client relationships, hybrid cloud, and AI innovation. The role emphasizes collaboration, growth, and delivering impactful solutions through global delivery centers.

Analyste Développeur .Net OCR (Val de Fontenay)

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 18, 2025

The text promotes IBM Consulting's collaborative opportunities, innovation in cloud and AI solutions, and career development. It highlights technical expertise, strategic initiatives for digital identity, and requirements for developers with specific skills.

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