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.

Package Consultant-SAP HANA FIN FI

Company: IBM

Location: Mumbai, IN

Posted Dec 10, 2025

This job description highlights a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with global clients, strategic SAP solutions, and career growth opportunities. It outlines required expertise in SAP FICO, project experience, and communication skills for client-facing roles.

Client Growth Lead - Cybersecurity Services

Company: IBM

Location: Ciudad Autónoma De Buenos Aires, AR

Posted Dec 10, 2025

IBM Consulting offers career growth through client collaboration, innovation in hybrid cloud and AI, and strategic partnerships. The role involves consultative sales, cybersecurity expertise, and networking to drive business success.

Site Reliability Professional

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This job description highlights a Site Reliability Engineer role at IBM with responsibilities in system monitoring, troubleshooting, deployment, and security. It emphasizes growth opportunities, collaborative environments, and required skills in automation, Linux, and cloud technologies.

Business Analyst in Banking sector (French speaking) (f/m/x)

Company: IBM

Location: Bussigny, CH

Posted Dec 10, 2025

This role involves working with clients to drive innovation and career growth, requiring technical expertise and collaboration skills. The position emphasizes long-term relationships, global collaboration, and professional development opportunities within IBM's ecosystem.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes a career opportunity at IBM Consulting focusing on collaboration with global clients, digital transformation, and career growth. It highlights roles in recruitment, process analysis, and innovation within a supportive ecosystem.

Global Creative Director, Brand Identity

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This job posting outlines the role of a Global Creative Director at IBM, focusing on leading brand identity and design systems. It emphasizes innovation, global collaboration, and the evolution of IBM's brand to reflect its technological advancements. The position requires leadership in design systems, AI-powered tools, and managing distributed teams while maintaining brand consistency across the organization.

Application Consultant-DevOps

Company: IBM

Location: Kochi, IN

Posted Dec 10, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities to drive impactful solutions through agile frameworks and advanced technology platforms.

Package Consultant-SAP HANA SCM IBP

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This role involves collaborating with clients on SAP solutions and innovative projects, offering growth opportunities and technical expertise in IBM's consulting environment.

Application Developer - STUDENT CONVERSION

Company: IBM

Location: SANTIAGO DE CHILE, CL

Posted Dec 10, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities for impactful software development. It highlights roles in designing scalable solutions and working within IBM's ecosystem.

Customer Success Engineer

Company: IBM

Location: CORAL GABLES, US

Posted Dec 10, 2025

This text describes a career opportunity at IBM Software focusing on customer success engineering roles. It highlights the team's expertise in transforming customer challenges into industry-leading solutions, emphasizing cloud-native AI-powered software development. The role involves managing infrastructure and security lifecycle, driving customer adoption of HashiCorp tools, and ensuring timely renewals. Requirements include technical expertise in cloud and DevOps, strong communication skills, and experience with HashiCorp tooling.

System Services Representatives- Houston, TX

Company: IBM

Location: Houston, US

Posted Dec 10, 2025

This job description outlines the role of an IBM System Services Representative, requiring technical support, client interaction, travel, and specific skills in IT systems and problem-solving. It details responsibilities, requirements, and physical demands of the field-based position.

Software Engineer - Open Search

Company: IBM

Location: Bellevue, US

Posted Dec 10, 2025

This text promotes an exciting software engineering role at IBM, emphasizing innovation, collaboration with open-source projects, and career growth opportunities. It highlights the chance to work on cutting-edge AI-powered cloud-native solutions and contribute to impactful technologies.

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