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Job Description
About the Role
Join our AI team to design and deploy cutting-edge machine learning models that transform enterprise data solutions. Your work will directly enhance predictive analytics capabilities across finance and healthcare sectors. Lead initiatives from experimentation to production, solving complex business challenges through NLP and deep learning innovations.
Responsibilities
- Design and implement scalable ML pipelines for data processing and model training
- Optimize model performance through advanced hyperparameter tuning
- Collaborate with data engineers to build robust data infrastructure
- Develop production-grade code for model deployment (Python, TensorFlow, PyTorch)
- Mentor junior engineers on ML best practices
- Research state-of-the-art techniques in computer vision and NLP
- Monitor and maintain deployed models for performance drift
Requirements
- MS/PhD in Computer Science or related quantitative field
- 4+ years experience building ML models in production environments
- Expertise in Python, TensorFlow/Keras, and cloud ML services
- Deep knowledge of deep learning architectures (CNNs, RNNs, Transformers)
- Experience with big data tools (Spark, Hadoop, Kafka)
- Strong understanding of MLOps practices and tools
- Publications in ML conferences/journals preferred
Benefits
- Equity grants and 15% annual bonus target
- Unlimited PTO and flexible remote work options
- $3,000 annual learning stipend
- Premium health/dental/vision insurance (100% covered)
- 401(k) matching up to 6%
- Paid parental leave (18 weeks primary caregiver)
- Onsite gym and wellness programs
- Daily catered lunches
About the Company
NeuraTech Innovations leads AI transformation for Fortune 500 companies with ethical, impactful solutions. Our culture thrives on intellectual curiosity and collaborative problem-solving. We’ve tripled revenue in 3 years while maintaining a 95% employee retention rate. Join us to push boundaries in enterprise AI.
Job ID: senior-machine-learning-engineer-1PHvG
