What are the responsibilities and job description for the ML Engineer position at Promantus, Inc?
Job Details
Position: ML Engineer
Location: Plano TX ( Day 1 Onsite
Duration: Long Term
Job Description:
We are looking for a Machine Learning Engineer specializing in NLP to enhance our AI-driven products. You will design, build, and deploy large language models (LLMs) and NLP solutions, leveraging Azure Databricks, Python, and PySpark to deliver scalable and high-performance models. Your work will involve processing large datasets, fine-tuning LLMs, and deploying these models in production environments.
- Education: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field.
- Experience:
- Proven experience as a Machine Learning Engineer or in a similar role.
- Hands-on experience with Azure services (Azure Machine Learning, Azure Databricks, Azure Data Factory, etc.).
- Strong proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Technical Skills:
- Experience with big data tools and frameworks (e.g., Spark, Hadoop) is a plus.
- Proficiency in SQL and familiarity with data warehousing solutions.
- Knowledge of CI/CD pipelines for machine learning model deployment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
- Ability to work in a fast-paced, dynamic environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
