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.

Application Developer-Oracle Cloud Integration

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a Software Developer role at IBM Consulting, focusing on hybrid cloud and AI solutions. It emphasizes career growth, collaboration with clients, and continuous learning opportunities. The position requires expertise in Oracle Cloud Middleware and experience with data migration.

BPOプロジェクトチームリーダー

Company: IBM

Location: Kitakyushu, JP

Posted Dec 09, 2025

This job description highlights IBM Consulting's focus on global client collaboration, innovation in hybrid cloud and AI, and career growth opportunities. It outlines requirements for Japanese language proficiency, team leadership experience, and technical skills in BPO projects across industries like finance and procurement.

Application Developer - DevOps

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM CIC's career opportunities, emphasizing growth, innovation, and a supportive culture. It highlights benefits like training programs, career development, work-life balance, and collaboration with industry leaders. The role involves DevOps expertise and requires leadership in technical initiatives.

EC Lead

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights opportunities to work with global clients on innovative SAP solutions, emphasizing collaboration, technical expertise, and career growth. It outlines requirements for experienced consultants with strong leadership and problem-solving skills, while showcasing IBM's commitment to professional development and impactful client outcomes.

Associate Data Scientist 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The role offers professional growth and collaboration with global clients using advanced tools. It emphasizes problem-solving and technical skills in a supportive environment.

AWS Devops Engineer - Defence sector

Company: IBM

Location: Cheltenham, GB

Posted Dec 09, 2025

IBM CIC offers a dynamic role as a Senior AWS DevOps Specialist with opportunities for growth, training, and collaboration. The company emphasizes innovation, career development, and a supportive culture, along with benefits like flexible work and recognition programs.

Stagiaire DevOps - IBM Client Innovation Center - H/F

Company: IBM

Location: Lille, FR

Posted Dec 09, 2025

IBM's Client Innovation Center provides innovative services and opportunities for international clients, emphasizing teamwork and cutting-edge projects in a supportive environment.

Business Analyst

Company: IBM

Location: Singapore, SG

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and professional growth opportunities. It outlines required skills in SDLC, requirements gathering, communication, and adaptability in dynamic environments.

PROCESS DELIVERY SPECIALIST-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on digital transformation through collaboration with global clients. It emphasizes opportunities for growth, mentorship, and impactful work in hybrid cloud and AI initiatives, though the text primarily outlines role responsibilities and qualifications.

Analyste Développeur Migration Cloud C# .Net - IBM Client Innovation Center - H/F - Lille ou Strasbourg

Company: IBM

Location: Lille, FR

Posted Dec 09, 2025

IBM Consulting offers innovative cloud solutions and career growth opportunities, emphasizing collaboration and technical expertise in a dynamic environment.

インダストリーコンサルタント(流通・小売領域)

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights opportunities for career growth and innovation in IBM's global client collaborations, emphasizing technological solutions and professional development through partnerships with IBM's technology portfolio.

Cloud AI developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves designing AI-powered applications and collaborating with teams to innovate in cloud technologies, requiring expertise in AI frameworks and cloud platforms.

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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