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.

Full Stack Developer – Entry Level

Company: IBM

Location: Bedford, CA

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the collaborative work environment, technical expertise, and opportunities for learning and growth. It emphasizes the role's focus on application development, problem-solving, and utilizing various technologies and frameworks.

Test Specialist - Defence

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with leading professionals across industries, delivering effective solutions using latest technology platforms. The company provides training, promotion opportunities, diversity and inclusion, work-life balance, and traditional benefits. The role of a Test Specialist with expertise in Automation involves streamlining testing processes, creating automated testing solutions, and ensuring software quality.

AWS Devops Engineer - Defence sector

Company: IBM

Location: Cheltenham, GB

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with leading professionals, deliver effective solutions, and drive business change using the latest technology platforms. The company provides training, promotion opportunities, diversity and inclusion, and benefits such as flexible working, sabbaticals, and pension plans. The role of Managing AWS DevOps Infrastructure Specialist involves shaping AWS infrastructure strategy, leading complex solution design, mentoring team members, and collaborating with stakeholders.

Domain Trainer - Compensation and Benefits

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text is a job description for a Service Delivery Management role at IBM Consulting. It outlines the responsibilities, required education, and technical expertise for the position. The role involves ensuring service level agreements are met, managing team performance, documenting processes, conducting team meetings, managing volumes, handling escalations, ensuring business controls, resolving issues, providing training, maintaining backup systems, conducting quality assurance reviews, identifying process improvements, managing change, financial management, and more. The position requires a bachelor's degree and experience with an LMS tool and advanced Excel skills.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers to deliver technical and industry expertise to clients worldwide. The responsibilities include scaling an existing RAG code base for a production-grade AI application, requiring proficiency in prompt engineering, LLMs, Retrieval Augmented Generation, and programming languages like Python or Java. Experience with vector databases, AI frameworks, and cloud platforms is preferred.

Package Consultant-SAP HANA SCM EWM

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, strategic partnerships, and technical expertise in SAP solutions. The role involves software development, stakeholder collaboration, and continuous learning.

Software Developer Intern 2026

Company: IBM

Location: Krakow, PL

Posted Dec 04, 2025

IBM is seeking growth-minded individuals to join their elite teams and shape the future of AI and cloud technology. The company offers opportunities for backend and frontend development, fueling the future of software technology, and being a guardian of quality. They provide a Developer Academy, global reach, and endless growth opportunities.

Database Engineer - DSE and HCD

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text is a job description for a DSEHCD database engineer role at IBM Software. It highlights the opportunity to work on a distributed database powering critical infrastructure, collaborate with talented engineers, and tackle complex technical challenges. The role involves building and improving the core of the database, owning the development lifecycle, debugging distributed systems, and contributing to technical documentation.

SuccessFactors Architect (f/m/x)

Company: IBM

Location: Zurich, CH

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers, collaborating with clients globally, and leading the design and optimization of the SuccessFactors platform to support HR transformation goals. The position requires expertise in SuccessFactors modules, HR processes, integration with third-party systems, and AI applied to the HR domain.

PROCESS DELIVERY SPECIALIST-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Process Analyst for Record to Report (R2R). The position involves general accounting tasks, risk identification, and meeting client Service Level Agreements (SLAs). The role requires a bachelor's degree, proficiency in MS Office and ERP software, and strong interpersonal skills.

Security Consultant - SIEM L3

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the collaborative and innovative work environment, the focus on hybrid cloud and AI, and the importance of continuous learning. It outlines the responsibilities of a role in the organization, including project implementation, security operations, and incident response. The required and preferred education and technical expertise are also mentioned.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

This role involves data analysis, collaboration with teams, and requires skills in Python, Spark, and cloud tools. It emphasizes teamwork and communication for technical and non-technical audiences.

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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