AI/ML Engineer (NLP & Generative AI)
Job Overview
We are seeking a dynamic and innovative AI/ML Engineer specializing in Natural Language Processing (NLP) and advanced machine learning techniques to join our cutting-edge technology team. In this role, you will develop, optimize, and deploy sophisticated AI models that enhance our data-driven solutions, leveraging big data platforms and state-of-the-art frameworks. Your expertise will drive the transformation of complex data into actionable insights, empowering our organization to stay ahead in a rapidly evolving digital landscape. This position offers an exciting opportunity to work on impactful projects utilizing the latest in AI and machine learning technologies.
Duties
• Design, develop, and implement NLP models for language understanding, sentiment analysis, and conversational AI applications using frameworks such as TensorFlow and other machine learning tools.
• Conduct model training and fine-tuning on large datasets utilizing unsupervised learning techniques to improve accuracy and efficiency.
• Build scalable data pipelines with ETL processes to extract, transform, and load data from diverse sources into optimized databases for analysis.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless deployment and performance optimization.
• Utilize cloud services like AWS for model deployment, management, and scaling of machine learning applications in production environments.
• Perform data mining and analysis using SQL, Python, R, SAS, Spark, Hadoop, Talend, and Looker to uncover insights that inform strategic decisions.
• Design robust database schemas and implement database design best practices to support large-scale data storage needs.
• Develop algorithms for natural language processing tasks such as entity recognition, language modeling, and semantic understanding.
• Apply machine learning frameworks like TensorFlow and Spark MLlib to accelerate model development cycles while maintaining high standards of quality.
• Engage in continuous research on emerging AI trends including quantum engineering applications relevant to natural language processing and big data analytics.
Skills
• Proficiency in programming languages such as Python, Java, C, VBA, Bash (Unix shell), with a strong focus on Python for machine learning workflows.
• Extensive experience with cloud platforms like AWS for deploying scalable AI/ML solutions.
• Deep understanding of NLP techniques including language modeling, text classification, entity recognition, and semantic analysis.
• Expertise in machine learning frameworks such as TensorFlow, Spark MLlib, Hadoop ecosystem tools for big data processing.
• Knowledge of unsupervised learning methods including clustering algorithms and dimensionality reduction techniques.
• Strong background in database design principles along with hands-on experience with SQL databases and linked data concepts.
• Familiarity with ETL tools like Talend for efficient data integration workflows.
• Experience with analytics tools such as Looker for visualization and reporting of insights derived from complex datasets.
• Ability to develop models for deployment into production environments ensuring scalability and reliability.
• Understanding of quantum engineering principles as they relate to advanced AI applications is a plus. Join us if you’re passionate about pushing the boundaries of artificial intelligence through innovative NLP solutions! We value energetic problem-solvers eager to make a tangible impact by transforming raw data into powerful insights that shape the future of technology.
Job Type: Contract
Work Location: Remote
Apply Now
Apply Now
We are seeking a dynamic and innovative AI/ML Engineer specializing in Natural Language Processing (NLP) and advanced machine learning techniques to join our cutting-edge technology team. In this role, you will develop, optimize, and deploy sophisticated AI models that enhance our data-driven solutions, leveraging big data platforms and state-of-the-art frameworks. Your expertise will drive the transformation of complex data into actionable insights, empowering our organization to stay ahead in a rapidly evolving digital landscape. This position offers an exciting opportunity to work on impactful projects utilizing the latest in AI and machine learning technologies.
Duties
• Design, develop, and implement NLP models for language understanding, sentiment analysis, and conversational AI applications using frameworks such as TensorFlow and other machine learning tools.
• Conduct model training and fine-tuning on large datasets utilizing unsupervised learning techniques to improve accuracy and efficiency.
• Build scalable data pipelines with ETL processes to extract, transform, and load data from diverse sources into optimized databases for analysis.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless deployment and performance optimization.
• Utilize cloud services like AWS for model deployment, management, and scaling of machine learning applications in production environments.
• Perform data mining and analysis using SQL, Python, R, SAS, Spark, Hadoop, Talend, and Looker to uncover insights that inform strategic decisions.
• Design robust database schemas and implement database design best practices to support large-scale data storage needs.
• Develop algorithms for natural language processing tasks such as entity recognition, language modeling, and semantic understanding.
• Apply machine learning frameworks like TensorFlow and Spark MLlib to accelerate model development cycles while maintaining high standards of quality.
• Engage in continuous research on emerging AI trends including quantum engineering applications relevant to natural language processing and big data analytics.
Skills
• Proficiency in programming languages such as Python, Java, C, VBA, Bash (Unix shell), with a strong focus on Python for machine learning workflows.
• Extensive experience with cloud platforms like AWS for deploying scalable AI/ML solutions.
• Deep understanding of NLP techniques including language modeling, text classification, entity recognition, and semantic analysis.
• Expertise in machine learning frameworks such as TensorFlow, Spark MLlib, Hadoop ecosystem tools for big data processing.
• Knowledge of unsupervised learning methods including clustering algorithms and dimensionality reduction techniques.
• Strong background in database design principles along with hands-on experience with SQL databases and linked data concepts.
• Familiarity with ETL tools like Talend for efficient data integration workflows.
• Experience with analytics tools such as Looker for visualization and reporting of insights derived from complex datasets.
• Ability to develop models for deployment into production environments ensuring scalability and reliability.
• Understanding of quantum engineering principles as they relate to advanced AI applications is a plus. Join us if you’re passionate about pushing the boundaries of artificial intelligence through innovative NLP solutions! We value energetic problem-solvers eager to make a tangible impact by transforming raw data into powerful insights that shape the future of technology.
Job Type: Contract
Work Location: Remote
Apply Now
Apply Now