GEN AI and Machine Learning Engineer
Skills
- Proficient programming skills in Python, SQL, and NoSQL databases.
- Experience with GEN AI frameworks and agentic AI.
- Hands-on knowledge with AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, and Keras.
- Familiarity with machine learning, NLP, and deep learning algorithms.
- Experience developing APIs using Flask or Django.
- Knowledge of cloud infrastructure services (AWS, Azure, GCP).
- Experience with MLOps tools like MLFlow, Kubeflow, and CI/CD pipelines.
- Familiarity with Gen AI models such as OpenAI GPT, Google Gemini, and Runway ML.
Responsibilities
- Develop, implement, and deploy AI/ML solutions aligned with business requirements.
- Preprocess and analyze large datasets to extract meaningful patterns and insights.
- Evaluate, validate, and optimize AI/ML models for accuracy and efficiency.
- Deploy AI/ML models to cloud environments including AWS, Azure, or GCP.
- Monitor and maintain AI/ML model performance in production.
- Document model development processes and results for knowledge sharing.
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
Benefits
- Comprehensive medical, dental, and vision insurance.
- Health and dependent care flexible spending accounts (HCFSA, DCFSA).
- Commuter transit and parking benefits.
- Supplemental life, accident, critical illness, and hospital indemnity insurance.
- Legal assistance and identity theft protection programs.
- Pet discounts and insurance options.
- Employee Assistance Program (EAP) and short-term disability coverage.
- 401k plan with company matching.
- Education discounts and entertainment perks.
- Paid time off and career growth opportunities.
Average salary estimate
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