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Mid LevelFull-timePythonMachine LearningTensorFlowPyTorchCI/CDAIMLNLP
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems, from experimentation and prototyping through deployment, evaluation, and iteration.
Key Responsibilities
- →Design, develop, and deploy machine learning and AI-powered features into production systems
- →Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
- →Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
- →Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
- →Translate business and user needs into ML problem statements, metrics, and experiments
- →Implement data pipelines and feature engineering workflows to support model training and inference
- →Evaluate model performance, bias, drift, and reliability; iterate based on results
- →Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
- →Contribute to architecture decisions around model serving, scalability, and cost optimization
- →Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing
Requirements
- ✓Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation
- ✓Experience building and deploying ML models in real-world applications
- ✓Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
- ✓Experience working with large language models, embeddings, and prompt-driven systems
- ✓Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar)
- ✓Understanding of software engineering best practices (version control, testing, code reviews)
- ✓Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
- ✓Strong communication skills and comfort working in cross-functional teams
- ✓Applicants must be authorized to work in the United States and may require U.S. citizenship and security clearance.
