Urgent Needed - Machine Learning Engineer - Charlotte, NC

Hi,

I hope you are doing well!

Looking for a Machine Learning Engineer in Charlotte, NC (Onsite/Hybrid). Please review the below requirement and let me know if you are interested.

Job Title: Machine Learning Engineer

Location: Charlotte, NC

Duration: Long Term

Job Description

Role Overview:

We are seeking a highly skilled and experienced Machine Learning Scientist with a strong background in Data Science, Natural Language Processing (NLP), and Generative AI to join our team on a contract basis. In this role, you will be responsible for developing and implementing advanced AI/ML models and solutions to address critical business challenges within Bank of America. You will work closely with cross-functional teams to understand business requirements, design innovative approaches, and deploy scalable and robust solutions.

Responsibilities:

• Design, develop, and implement machine learning models and algorithms, including deep learning techniques, for various applications such as risk management, fraud detection, customer analytics, and operational efficiency.
• Apply advanced Natural Language Processing (NLP) techniques, including text mining, sentiment analysis, topic modeling, and information extraction, to analyze and derive insights from textual data.
• Develop and deploy Generative AI models for tasks such as text generation, summarization, data augmentation, and synthetic data creation.
• Conduct thorough data exploration, cleaning, preprocessing, and feature engineering to ensure high-quality data for model development.
• Evaluate model performance using appropriate metrics and implement strategies for continuous improvement and optimization.
• Collaborate with data engineers to build and maintain scalable data pipelines and infrastructure for model deployment and monitoring.
• Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.
• Stay up-to-date with the latest advancements in machine learning, NLP, and Generative AI and proactively explore their potential applications within the financial domain.
• Contribute to the development of best practices and standards for AI/ML development and deployment within the organization.
• Work in an agile environment, participating in sprint planning, reviews, and retrospectives.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6-7 years of hands-on experience in developing and deploying machine learning models and NLP solutions in a professional setting.
• Proven expertise in a wide range of machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning architectures like CNNs, RNNs, Transformers).
• Strong experience with Natural Language Processing (NLP) techniques and libraries (e.g., NLTK, spaCy, transformers library).
• Hands-on experience in developing and applying Generative AI models (e.g., GANs, VAEs, large language models like GPT, BERT, T5).
• Proficiency in programming languages such as Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) and their AI/ML services is a plus.
• Familiarity with data engineering tools and technologies (e.g., Spark, Kafka, SQL databases).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.
• Experience working in the financial services industry is a plus.

Thanks and Regards

Sai Kishor