Job Description
Introduction
A career in IBM Consulting involves building long-term relationships and collaborating closely with clients worldwide. You will work with industry visionaries to enhance hybrid cloud and AI initiatives for some of the most innovative companies. Success is driven by our strategic partnerships and comprehensive IBM technology platforms, including Software and Red Hat. Curiosity, continuous learning, and creative problem-solving are key to making meaningful impacts.
Your Role and Responsibilities
Position: IBM Journeyman Machine Learning Engineer
As a machine learning engineer, you will:
- Develop and implement ML models and algorithms
- Handle data preprocessing, model training, evaluation, and optimization
- Improve efficiency and scalability of ML pipelines
- Ensure data security
- Stay updated with latest ML advancements
- Support command data and AI initiatives
- Develop advanced data science algorithms (predictive analysis, AI, ML)
- Research and implement ML algorithms and tools
- Develop ML applications based on requirements
- Run ML tests and experiments
- Perform statistical analysis and fine-tuning
Security Clearance: Top Secret (TS/SCI)
Education Requirements
- Bachelor's Degree (Required and Preferred)
Technical and Professional Skills
- Machine Learning Operations
- Agile Methodologies
- Statistics
- Predictive Analytics
- Modeling
- DoD8140 Cert: 632 - Basic
- Ability to obtain/maintain US federal security clearance
- Top Secret with SCI Eligibility
About IBM Consulting
IBM Consulting provides leadership in business and technology transformation, focusing on collaboration to accelerate client success. We leverage technology responsibly to benefit society.
Life at IBM
IBM values continuous learning, courageous experimentation, and trust. Our culture encourages growth, feedback, and diverse perspectives to drive innovation and exceptional client outcomes.
About IBM
Founded in 1911, IBM is a pioneer in AI, quantum computing, and blockchain. We are committed to responsible tech innovation and equal employment opportunities.
Benefits
- Medical, dental, vision, mental health benefits
- Paid holidays, sick leave, vacation
- Life insurance, 401(k), financial counseling
- Employee Stock Purchase Plan
- Family leave and disability benefits
Note: Compensation varies based on skills, experience, and location.
Additional Information
- No visa sponsorship provided
- Job posted for 21 days from the posting date
- Equal opportunity employer
Job Highlights
Responsibilities
- Encourage innovative solutions for clients
- Develop and implement ML models and algorithms
- Data preprocessing, model training, and evaluation
- Improve ML pipeline efficiency and security
- Collaborate on advanced data science algorithms
- Design ML systems and develop applications
- Conduct ML testing and statistical analysis
Required Skills
- Data and AI technology support
- Bachelor’s Degree
- ML Operations, Agile, Statistics, Predictive Analytics, Modeling
- DoD8140 Cert: 632 - Basic
- US security clearance (Top Secret with SCI)
- Decision-making in challenging situations
- Legal eligibility for employment
Benefits
- Competitive benefits package
- Yearly salary depending on skills and location
- Benefits pro-rated for part-time roles