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A leading company in Legal and Financial Information Services is seeking an experienced software engineer specializing in AI and machine learning. This role offers a hybrid work model, extensive benefits, and opportunities for career growth. The ideal candidate will have over 4 years of experience, focusing on developing and deploying AI/ML solutions in production environments.
Employer Industry: Legal and Financial Information Services
Why consider this job opportunity:
- Flexibility to work in a hybrid model (2-3 days a week in the office)
- Work from anywhere for up to 8 weeks per year to enhance work-life balance
- Comprehensive benefits including flexible vacation, mental health days, and tuition reimbursement
- Opportunities for career development and growth through continuous learning programs
- Globally recognized culture focused on inclusion, belonging, and employee wellbeing
- Chance to make a meaningful impact in the community through volunteer opportunities
What to Expect (Job Responsibilities):
- Design and develop AI/ML-powered features and capabilities from concept to production
- Collaborate with data scientists to productionize research models and prototypes
- Monitor and optimize model performance, latency, and resource utilization
- Write clean, maintainable, and well-documented code following best practices
- Contribute to the full software development lifecycle, from requirements gathering to deployment
What is Required (Qualifications):
- 4+ years of software engineering experience with 3+ years focused on AI/ML development
- Proven track record of shipping AI/ML features to production environments
- Experience with model training, validation, and deployment at scale
- Strong understanding of machine learning algorithms and statistical methods
- Background in developing real-time and batch ML inference systems
How to Stand Out (Preferred Qualifications):
- Experience with GenAI, NLP, Information Retrieval, recommendation systems, or other AI domains
- Knowledge of model optimization techniques and performance tuning
- Understanding of data privacy, security, and ethical AI considerations
#LegalServices #AI #MachineLearning #CareerOpportunity #WorkLifeBalance
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