Principal ai/ml engineer, production & nlp

As a Senior Data Scientist at our company, you will play a crucial role in supporting media analytics use cases with strong expertise in MLOps and NLP. Your responsibilities will include designing, building, and deploying scalable machine learning and NLP models for various business needs. You will collaborate with stakeholders to translate business challenges into data-driven insights and AI solutions. Additionally, you will work on limited media analytics use cases, such as campaign performance measurement and media optimization. Your role will also involve partnering with cross-functional teams to deliver robust AI and ML solutions and driving automation in data science workflows and model governance processes. Key Responsibilities: - Design, build, and deploy scalable machine learning and NLP models for various business needs. - Implement and maintain production-grade MLOps pipelines, including model training, testing, deployment, and monitoring. - Collaborate with stakeholders to translate business challenges into data-driven insights and AI solutions. - Support limited media analytics use cases, including campaign performance measurement and media optimization. - Partner with cross-functional teams (data engineers, architects, business analysts) to deliver robust AI and ML solutions. - Drive automation in data science workflows, performance tracking, and model governance processes. - Promote the adoption of modern tools, frameworks, and practices for continuous improvement. - Research and experiment with new technologies such as LLMs and generative AI for practical business applications. Qualifications Required: - 68 years of experience in Data Science/Analytics with exposure to MLOps and NLP. - Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, or related fields; a master's degree is preferred. - Strong programming skills in Python, Spark, and SQL with clean coding and documentation practices. - Proven experience in MLOps, including CI/CD pipelines, automated testing, containerization, model monitoring, and deployment. - Experience with platforms such as Databricks, Snowflake, and Azure. - Familiarity with large language models (LLMs), generative AI, and integrating NLP solutions into business workflows. - Proficiency in BI tools such as Power BI, Tableau, or DOMO. - Deep understanding of machine learning algorithms, data structures, and scalable solution design. - Strong analytical and problem-solving skills with the ability to work in a fast-paced environment. - Excellent communication and teamwork skills to collaborate across global teams. Good to Have: - Industry background in Retail, e-Commerce, or CPG. - Experience with time series forecasting, customer lifetime value modeling, and text-based classification tasks. - Familiarity with cloud-native MLOps tools (Azure ML, MLflow, Kubeflow, etc.). - Experience in media measurement, marketing effectiveness, and performance optimization is a plus. As a Senior Data Scientist at our company, you will play a crucial role in supporting media analytics use cases with strong expertise in MLOps and NLP. Your responsibilities will include designing, building, and deploying scalable machine learning and NLP models for various business needs. You will collaborate with stakeholders to translate business challenges into data-driven insights and AI solutions. Additionally, you will work on limited media analytics use cases, such as campaign performance measurement and media optimization. Your role will also involve partnering with cross-functional teams to deliver robust AI and ML solutions and driving automation in data science workflows and model governance processes. Key Responsibilities: - Design, build, and deploy scalable machine learning and NLP models for various business needs. - Implement and maintain production-grade MLOps pipelines, including model training, testing, deployment, and monitoring. - Collaborate with stakeholders to translate business challenges into data-driven insights and AI solutions. - Support limited media analytics use cases, including campaign performance measurement and media optimization. - Partner with cross-functional teams (data engineers, architects, business analysts) to deliver robust AI and ML solutions. - Drive automation in data science workflows, performance tracking, and model governance processes. - Promote the adoption of modern tools, frameworks, and practices for continuous improvement. - Research and experiment with new technologies such as LLMs and generative AI for practical business applications. Qualifications Required: - 68 years of experience in Data Science/Analytics with exposure to MLOps and NLP. - Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, or related fields; a master's degree is preferred. - Strong programming skills in Python, Spark, and SQL with clean coding and documentation practices. - Proven experience in MLO