Machine Learning Engineer
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.
Preferred Qualifications:
• Experience with other cloud platforms like AWS or Google Cloud.
• Certification in Azure (e.g., Microsoft Certified: Azure AI Engineer Associate).
• Familiarity with MLOps practices and tools.
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.
Preferred Qualifications:
• Experience with other cloud platforms like AWS or Google Cloud.
• Certification in Azure (e.g., Microsoft Certified: Azure AI Engineer Associate).
• Familiarity with MLOps practices and tools.
