Job Description
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About the Role
Position: Data Visualization and AI Engineer
Objective: Lead and contribute to Takeda's AI transformation journey by building scalable machine learning and NLP solutions.
Responsibilities
- Build and deploy machine learning models at scale using Databricks.
- Develop NLP models/features to enhance existing technologies.
- Pre-process raw data and perform feature engineering to support LLMs.
- Collaborate with data scientists, engineers, and stakeholders to operationalize AI solutions.
- Implement MLOps best practices: version control, CI/CD, testing, and monitoring.
- Continuously refine model accuracy and system performance.
- Stay updated on the latest AI, NLP, and ML developments including LLMs, Spacy, Hugging Face.
- Perform projects and tasks as directed by management.
Qualifications
- 4+ years experience in NLP & MLOps.
- Strong programming skills in Python.
- Experience with Databricks and AWS Data Lake.
- Solid understanding of machine learning algorithms.
- Experience with version control systems like Git.
- Customer-focused mindset.
Key Stakeholders
Including Plasma Derived Therapies BU, Manufacturing sites, Data Sciences, R&D partners, and external suppliers.
Compensation & Benefits
Location: USA - GA - Social Circle - Hwy 278
Salary Range
- $99,500.00 - $156,420.00
- Actual salary depends on qualifications, experience, skills, education, certifications, and location.
Benefits
- Incentives, insurance (medical, dental, vision), 401(k), disability coverage, life insurance, tuition reimbursement, paid volunteer time, holidays, well-being benefits, sick leave, paid vacation.
Additional Info
- U.S. employees may be eligible for various incentive plans and benefits.
Equal Opportunity Employment
Takeda is committed to creating a diverse workforce and offers equal employment opportunities without discrimination based on race, religion, gender, age, disability, or veteran status.
Location & Employment Type
- Location: GA, Social Circle
- Worker Type: Employee
- Sub-Type: Regular
- Time Type: Full-time
- Exempt Status: Yes
Tags
Python, Databricks, Machine Learning, NLP, MLOps