Machine Learning Jobs

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Machine learning is reshaping industries from autonomous vehicles to personalized medicine. Every quarter, investment in AI startups rises, and Fortune 500s are hiring data scientists to turn vast datasets into actionable insights. This surge translates into a high demand for ML talent, with roles expanding into new verticals and requiring hybrid skill sets that blend software engineering, domain knowledge, and statistical modeling.

Within the ML ecosystem, you’ll find positions such as ML Engineer, responsible for production‑ready pipelines; Data Scientist, focused on exploratory analysis and model prototyping; Research Scientist, pushing the frontier of deep learning; MLOps Engineer, ensuring seamless deployment and monitoring; and AI Ethicist, guiding responsible AI practices. Each role demands tools like TensorFlow, PyTorch, scikit‑learn, SQL, Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform).

Salary transparency matters because it levels the playing field for ML professionals. With clear pay data, you can benchmark your compensation against peers, negotiate offers that reflect your expertise, and spot disparities that may indicate bias. Transparent figures also help you assess the true cost of entry into specialized subfields like reinforcement learning or federated learning, where pay can differ significantly from standard ML engineering.

Network Deployment Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, focusing on a role as a Network Deployment Engineer. The role involves end-to-end deployment of enterprise wired and wireless networks, ensuring reliable, secure, and scalable infrastructure. The position requires expertise in routing and switching protocols, enterprise network hardware, wireless solutions, and network automation. The company values curiosity, continuous learning, and long-term career growth.

Package Consultant-SAP BTP

Company: IBM

Location: Gurgaon, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities to work with clients globally, collaborate with visionaries, and leverage IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and long-term career growth. The role involves solution design and development, integration and architecture, DevOps and delivery, and stakeholder collaboration.

Sales Development Representative Intern - Entry Level Sales Program 2026 ( September Start)

Company: IBM

Location: Markham, CA

Posted Dec 04, 2025

IBM is evolving its technology sales approach to break boundaries with innovative methods. They are seeking undergraduate and graduate students to join their Sales Development Representative intern program, which focuses on prospecting, co-creating solutions with clients, and driving digital transformation success. The role involves sales prospecting, continuous learning, supporting deal closure, and social selling. IBM provides a collaborative and experiential sales environment with ongoing development opportunities.

Engenheiro de Dados MLOps

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. As a Data Engineer, you will harness data to uncover insights, collaborate with diverse teams, and design maintain production-grade ML pipelines on Google Cloud Platform. Required skills include Python, ML/Deep Learning libraries, GCP services, Docker, Kubernetes, and CICD.

Application Developer-Oracle Middleware

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

This role involves collaborating with clients to develop hybrid cloud and AI solutions, requiring expertise in Oracle technologies and continuous learning. The position emphasizes innovation, stakeholder collaboration, and impactful problem-solving in a global consulting environment.

Unica Campaign Execution Specialist

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Campaign Quality Analyst. The position involves testing and validating workflows, collaborating with clients globally, and leveraging IBM's technology platforms. The role requires a Bachelor's degree, 3+ years of experience with Unica Campaign Automation Tool, and expertise in SQL and testing tools.

Associate Data Engineer - Entry Level

Company: IBM

Location: Bedford, CA

Posted Dec 04, 2025

The IBM Client Innovation Centre in Halifax offers a unique position at the intersection of business and technology. The role involves working in the IBM Client Innovation Center, delivering deep technical and industry expertise to clients worldwide. The position requires participating in data ingestion processes, developing SQL queries, supporting data scientists, creating PowerBI reports, and collaborating with stakeholders and business users.

Application Developer-Oracle Middleware

Company: IBM

Location: Kolkata, IN

Posted Dec 04, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, hybrid cloud and AI innovation, and opportunities for impactful work through technical expertise and strategic partnerships.

Middle SDET (Software Development Engineer in Test)

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

The role is a Quality Engineer position at IBM Consulting, working in Client Innovation Centers Delivery Centers. It involves building automated tests, creating test data and environments, writing and executing test scripts, identifying errors, and presenting test results. The position requires a Bachelor's degree, hands-on experience in UI automation, strong expertise in designing automation frameworks, and knowledge of software QA methodologies.

React Developer

Company: IBM

Location: Napoli, IT

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a React Developer. The position involves building and maintaining dynamic web applications, collaborating with cross-functional teams, and optimizing frontend components. The role requires strong technical skills in JavaScript, React, TypeScript, state management libraries, and UI component development.

Application Developer-SAP ABAP HANA

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and career growth opportunities. It outlines responsibilities like feature development, stakeholder collaboration, and continuous learning, along with technical requirements and preferred qualifications.

Research AI Engineer, Intern: 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Research is a team focused on inventing the future of computing and solving real-world problems for clients. The role involves collaborating with AI researchers and engineers to design and implement AI solutions using large language models, multimodal models, and agentic frameworks. The position requires strong programming skills in Python, familiarity with machine learning fundamentals, and a collaborative mindset.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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