What are the responsibilities and job description for the AI/ML Engineer position at Coventek Inc?
NOTE:
- Can send your resume to recruiting@coventek.com
- Applicable only for W2 Contract Candidates
Job Description:
The AI/ML Engineer role requires a blend of expertise in Machine Learning Operations (MLOps), ML Engineering, Data Science, Large Language Models (LLMs), and software engineering principles.
- Build and train machine learning models to solve specific problems and optimize models for performance and accuracy, such as anomaly detection algorithms or predictive models.
- Apply ML expertise to train models, validate their accuracy, and deploy them at scale to production environments.
- Apply best practices in MLOps, LLMOps, Data Science, and software engineering to ensure the delivery of clean, efficient, and reliable code.
- Monitor and evaluate model performance, making necessary adjustments to maintain accuracy and reliability.
- Analyze structured and unstructured data from various sources to discover patterns and features necessary to automate analytical models.
- Proficiency in programming languages such as Python and R.
- Strong software engineering skills (SQL, Agile, UX, Cloud architecture).
- Experience with data visualization tools such as Tableau or Power BI.
- Basic project management skills to plan, execute, and deliver data science projects on time and within scope are preferred.
QUALIFICATIONS / REQUIREMENTS:
- Bachelor’s or master’s degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, AI, or a related field.
- Experience building production-quality systems with AI-related models, frameworks, and toolsets like LLMs, Vector Databases, NLP, prompt engineering, and agent architectures.
- Proven ability to deploy, monitor, and enhance LLMs like GPT, Llama, Claude.
- Familiarity with common data science toolkits and libraries, such as TensorFlow, Scikit-learn, and OpenAI.
