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.

Arquiteto de solução - cognitiva

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 09, 2025

This text describes a senior professional role in IBM Consulting focused on innovation, collaboration, and technical expertise. It highlights opportunities to work with global clients, leverage advanced technologies like AI and cloud computing, and contribute to impactful projects through a culture of continuous learning and growth.

Sr. Process Analyst Finance & Administration Delivery - Order to Cash

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on digital transformation and client collaboration. The role involves processing accounts receivable, working with innovative companies, and leveraging technology platforms. It emphasizes career growth, mentorship, and impactful problem-solving in a supportive environment.

Senior Workday Integrations Consultant

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This role involves working with clients to deliver Workday solutions, requiring expertise in integrations and technologies. It offers opportunities for growth and collaboration across industries.

Package Consultant-Oracle Cloud HCM

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovation, and career growth opportunities. Responsibilities include developing technical solutions, managing client relationships, and leveraging IBM's technology platforms to drive business impact.

Sr. Process Analyst Finance & Administration Delivery - Order to Cash

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on digital transformation, hybrid cloud, and AI initiatives. The role involves working with global clients, leveraging agile methodologies and technology platforms, while emphasizing career growth, innovation, and collaborative problem-solving in a supportive environment.

Senior SAP Consultant – Credit Management & TRM

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP systems, leadership opportunities, and career growth through innovative solutions and industry expertise.

Package Consultant-SAP SCM APO

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM emphasizing collaboration with clients, technical expertise in SAP, and opportunities for professional growth. It highlights responsibilities like leading teams, delivering solutions, and gaining industry knowledge, while outlining required qualifications and preferred skills.

Technology Lifecycle Support - Brand Sales Specialist - Open Market

Company: IBM

Location: No City, US

Posted Dec 09, 2025

This job description outlines the role of an IBM Brand Sales Specialist, emphasizing client relationship development, technology strategy, and solution design. The position requires expertise in IBM's TLS portfolio, technical sales skills, and collaboration across teams to drive business growth and deliver value to clients.

Executive Search Lead

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a senior recruitment role at IBM with opportunities to shape the company's future, work on innovative strategies, and contribute to executive talent acquisition. It emphasizes global impact, leadership in recruitment, and collaboration with HR and business leaders.

Senior Technical Account Manager - Storage

Company: IBM

Location: BRISBANE, AU

Posted Dec 09, 2025

This job description outlines a Technical Account Manager role with opportunities for growth, client relationship development, and technical expertise expansion. The position involves remote support, collaboration with teams, and working with IBM storage products, offering visibility across multiple organizational levels.

AECC - Virtualization Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a Virtualization Engineer role supporting the Army Edge Computing Capability project, involving VMware suite deployment, Infrastructure as Code, and cybersecurity expertise. The position requires in-person work in Radford VA and emphasizes collaboration, innovation, and career growth within IBM Consulting's ecosystem.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a role in financial planning and analysis with opportunities for career growth, collaboration with clients, and leveraging technology for impactful solutions. The position emphasizes data-driven insights, process improvement, and working in a supportive environment with development opportunities.

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.

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