Ai​/ml Engineer

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

Ideal Candidate: 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.

• 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 Tensor Flow, 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/Open Shift, 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.

• 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.

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

Jersey City, NJ

TECHNOLOGY

Engineer

434489

Python | SQL

$100,000 - $120,000

Qualifications

BACHELOR OF COMPUTER SCIENCE