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 VIM

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in hybrid cloud and AI, and responsibilities involving solution design, project management, and technology implementation. It highlights opportunities to work with innovative companies and deliver impactful results through IBM's ecosystem.

Promontory Associate Risk Regulatory and Compliance

Company: IBM

Location: SYDNEY, AU

Posted Dec 15, 2025

This job description outlines a role as an Associate Consultant at IBM Promontory Australia, focusing on risk management, regulatory compliance, and client engagement. The position requires expertise in financial services, data analytics, and regulatory frameworks, with responsibilities including project management, client interaction, and delivering analytical insights.

IT Lab Tech Apprentice

Company: IBM

Location: TUCSON, US

Posted Dec 15, 2025

The IBM Infrastructure Lab Technician Apprentice role offers hands-on experience in hardware support, learning opportunities, and career growth within a structured apprenticeship program. It emphasizes collaboration, technical skills development, and real-world application of knowledge in a dynamic work environment.

EWM Consultant

Company: IBM

Location: Buffalo, US

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on delivering high-quality SAP solutions, leading teams, and leveraging advanced technologies like AI and cloud platforms. It emphasizes collaboration, growth opportunities, and strategic leadership in a global environment.

Application Developer-Microsoft Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This role involves collaborating with clients on hybrid cloud and AI projects using Microsoft technologies, requiring expertise in software development and agile practices. The position emphasizes innovation, technical collaboration, and career growth opportunities within IBM's global ecosystem.

Principal Engineer, HashiCorp Integrations

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This role involves leading AI-driven Terraform initiatives to enhance cloud solutions, focusing on agentic resource management and provider automation within IBM's Infrastructure Lifecycle team. The position emphasizes strategic leadership, innovation, and technical expertise to drive commercial differentiation and operational excellence.

PTP- Project Manager

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation through agile methodologies and AI, and opportunities for innovation. It emphasizes growth, mentorship, and technical expertise in finance domains with a strong emphasis on process improvement and technology integration.

Technical Consultant-IoT & Edge Computing

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

IBM Consulting offers a career focused on innovation and collaboration, leveraging IoT and AI to drive digital transformation in the automotive industry. The role emphasizes technical expertise, analytical skills, and cross-functional teamwork to deliver impactful solutions for clients.

AR Contact Center Practitioner

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a customer service role at IBM's consulting centers, emphasizing responsibilities like handling customer queries, providing technical support, and maintaining professionalism. It highlights required skills, work environment, and career development opportunities.

PROCESS DELIVERY SPECIALIST-LEASE AND CONTRACT ADMINISTRATION

Company: IBM

Location: Chennai, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on digital transformation through collaboration with global clients. It emphasizes opportunities for growth, strategic partnerships, and impactful work in hybrid cloud and AI initiatives. The role requires expertise in learning administration, technical skills, and strong communication abilities.

Java Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It highlights the role's focus on technical expertise, problem-solving, and impactful work with cutting-edge technologies, while also outlining required skills and preferred qualifications.

Tester (HS)

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM CIC offers extensive career growth opportunities, training programs, and a supportive work environment, emphasizing innovation and professional development through diverse projects and global client engagement.

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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