AI/ML Engineer

Skills

• Languages: Python, SQL (Java/JavaScript preferred)
• AI/ML: Machine Learning, Deep Learning, NLP, Generative AI, LLMs, RAG, Prompt Engineering
• Cloud DevOps: Docker, Kubernetes/OpenShift, Git, CI/CD, Terraform
• Data Technologies: Oracle, Spark, Redis Vector DB, MongoDB

Responsibilities

• 10+ years of experience in AI/ML, Data Science, or Software Engineering.
• Strong programming skills in Python and experience with SQL.
• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and production ML deployments.
• Solid understanding of machine learning algorithms, statistics, data processing, and software development best practices.
• Experience with Generative AI, LLMs (GPT, Llama, Claude), Prompt Engineering, and RAG.
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes/OpenShift, CI/CD, and MLOps platforms.
• Experience with vector databases, large-scale data processing, and regulated industries such as financial services.
• Design, build, and deploy ML models for prediction, recommendation, forecasting, and anomaly detection.
• Develop Generative AI solutions using LLMs and implement RAG architectures leveraging vector databases and enterprise knowledge sources.
• Build and maintain MLOps pipelines for model training, deployment, monitoring, and continuous improvement.
• Develop APIs and microservices to integrate AI capabilities into enterprise applications.
• Collaborate with business, data, and engineering teams to translate requirements into AI-driven solutions.
• Ensure compliance with security, governance, responsible AI, and model risk management standards.
• Mentor team members and contribute to AI/ML best practices.

Requirements

A hands-on AI engineer with strong software development skills who can take AI/ML solutions from concept to production while ensuring scalability, governance, and business impact.

BACHELOR OF COMPUTER SCIENCE

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Pay

Salary Range $100,000 - $120,000 a year