Job Title: AI/ML Engineer
Job Loction:DallasTX
Experience Required:5 Years
Job Type:W2
Job Summary
We are seeking an experienced AI/ML Engineer to design develop and deploy cuttingedge machine learning models and AIdriven solutions. The ideal candidate will have extensive experience in AI/ML deep learning and data engineering practices to tackle complex realworld problems.
Key Responsibilities:
Model Development & Deployment:
Design develop and optimize machine learning and deep learning models using frameworks such as TensorFlow PyTorch or scikitlearn.
Deploy scalable ML solutions on cloud platforms like AWS Azure or GCP using services like SageMaker Azure ML or AI Platform.
Data Engineering & Preprocessing:
Build and maintain efficient data pipelines for structured and unstructured data using tools like Apache Spark Kafka and Airflow.
Conduct extensive data exploration cleaning and feature engineering.
AI/ML Applications:
Develop NLP applications like chatbots text summarization and sentiment analysis using transformers
Required Qualifications:
Bachelors/Masters degree in Computer Science Data Science or related field.
5 years of experience in AI/ML including deploying productiongrade models.
Proficiency in Python R or Java with strong knowledge of ML libraries and tools (e.g. TensorFlow PyTorch scikitlearn).
Expertise in machine learning algorithms deep learning architectures and statistical methods.
Strong understanding of data structures algorithms and software engineering principles.
Handson experience with cloud platforms (AWS Azure GCP) and containerization tools (Docker Kubernetes).
Experience with MLOps tools for model tracking versioning and monitoring (e.g. MLflow Kubeflow).
Proficient in using databases (SQL/NoSQL) and big data tools (e.g. Hadoop Spark).
Familiarity with NLP techniques (e.g. transformers word embeddings) and computer vision methods.