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.

Software Developer (IBM Verify Identity Access Digital Credentials)

Company: IBM

Location: Bundall, AU

Posted Dec 16, 2025

This job posting highlights opportunities to work on innovative digital identity solutions at IBM, emphasizing collaboration, secure technologies, and professional growth in a dynamic environment.

Business Analyst

Company: IBM

Location: Pune, IN

Posted Dec 16, 2025

The role emphasizes innovation, collaboration, and solving complex problems, requiring expertise in HRIS and SAP SuccessFactors.

Java Software Dev (Teleco Domain) Java fullstack

Company: IBM

Location: Dallas, US

Posted Dec 16, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, strategic partnerships, and opportunities for career growth through technical expertise and problem-solving. It highlights roles in software development, DevOps integration, and impactful solutions for innovative companies.

Software Developer

Company: IBM

Location: Kochi, IN

Posted Dec 16, 2025

This job description outlines a software engineering role at IBM focusing on developing high-quality enterprise cloud solutions using React, Java, and Agile methodologies. The position emphasizes collaboration, technical expertise, and innovation in a continuous delivery environment with opportunities for professional growth.

Production Engineer

Company: IBM

Location: Markham, CA

Posted Dec 16, 2025

This job description highlights a career at IBM Software focused on transforming customer challenges into solutions through innovative AI-powered cloud-native software. The role involves ensuring platform reliability, automating operations, and collaborating across teams to enhance stability. It emphasizes expertise in Kubernetes, infrastructure as code, and monitoring tools, while offering growth opportunities in a dynamic, innovation-driven environment.

Package Specialist-SAP HR Comp & Payroll

Company: IBM

Location: Kolkata, IN

Posted Dec 16, 2025

The text promotes IBM Consulting's career opportunities, emphasizing collaboration, innovation, and growth. It highlights working with global clients on hybrid cloud and AI projects, leveraging IBM technology, and fostering a culture of curiosity and empathy. The role requires SAP HR expertise and involves implementing compensation management solutions.

Application Architect - Oracle Cloud

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

This job description outlines a role as an Oracle Cloud EPM Architect, emphasizing collaboration with clients, project delivery excellence, solution innovation, and required technical expertise. It details responsibilities like guiding customers through Oracle functionality, leading project execution, and developing EPM solutions while highlighting qualifications and preferred experience.

User Researcher

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

IBM CIC offers extensive career growth opportunities, supportive work environments, and diverse benefits including training programs, flexible working arrangements, and career development resources. The company emphasizes innovation, collaboration, and employee well-being through various initiatives and recognition programs.

AWS Cloud Full Stack Application Developer

Company: IBM

Location: London, GB

Posted Dec 16, 2025

IBM CIC offers diverse career opportunities with training, flexible work, and growth. They seek AWS Cloud Full Stack Developers for innovative projects with benefits like certifications, remote work, and career advancement.

Application Developer Intern - Cloud FullStack

Company: IBM

Location: Giza, EG

Posted Dec 16, 2025

IBM Consulting offers career opportunities focused on long-term client relationships, hybrid cloud, and AI solutions. The role involves fullstack development with MERN stack technologies, collaboration with experienced teams, and growth in a supportive environment. Required skills include Node.js, React, and teamwork with cross-functional teams.

Security Consultant - Accops

Company: IBM

Location: Mumbai, IN

Posted Dec 16, 2025

This job description outlines a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities for long-term growth. The role requires technical expertise in IT infrastructure and problem-solving skills, with a focus on delivering impactful solutions through strategic partnerships and technology platforms.

Front End Developer (React JS and .NET)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 16, 2025

The text describes a Software Developer role at IBM Consulting, emphasizing hybrid cloud and AI project development, collaboration with global clients, and career growth opportunities. It highlights technical skills required, such as React JS and Agile methodologies, while promoting a culture of innovation and professional development.

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