Senior Machine Learning Engineer - AI

As a Machine Learning Lead at Zemoso Technologies, you will play a crucial role in driving the architecture, development, and deployment of advanced machine learning solutions. Your responsibilities will include: - Acting as the primary technical liaison for clients and translating complex ML terms into actionable business insights for non-technical stakeholders - Architecting and designing end-to-end ML solutions while leading, mentoring, and guiding a team of Data Analysts and ML/Data Engineers - Overseeing the collection, cleanup, exploration, and statistical analysis of complex datasets to derive business intelligence - Leading the implementation, deployment, and scaling of advanced ML models and algorithms to solve complex business problems - Collaborating with data engineers to design, build, test, and monitor robust data and MLOps pipelines for ongoing business operations - Understanding the client's core business model to ensure the ML solutions built bring measurable, actionable ROI out of data available in various formats Qualifications required for this role include: - 8 to 12 years of overall industry experience, with a proven track record in Data Science, Machine Learning, and technical leadership - Demonstrated experience in stakeholder management and confidently answering to clients while demystifying complex ML concepts - Exceptional, hands-on coding experience in Python and robust experience with popular ML frameworks - Deep expertise in statistical modeling of large data sets and a comprehensive understanding of diverse ML algorithms - Strong experience designing robust data/ML pipelines and transitioning models from experimentation to production environments - Solid foundational experience in data analytics, including extracting actionable insights from raw data - Hands-on experience with Deep Learning, Generative AI, or NLP frameworks - Experience with MLOps practices and tools such as MLflow, Kubeflow, Docker, and Kubernetes - Experience with Cloud platforms (AWS, GCP, or Azure) and their respective ML services Zemoso Technologies offers a competitive salary, a hybrid work model, opportunities for learning and gaining experience rapidly, and reimbursement for basic working setup at home. As a Machine Learning Lead at Zemoso Technologies, you will play a crucial role in driving the architecture, development, and deployment of advanced machine learning solutions. Your responsibilities will include: - Acting as the primary technical liaison for clients and translating complex ML terms into actionable business insights for non-technical stakeholders - Architecting and designing end-to-end ML solutions while leading, mentoring, and guiding a team of Data Analysts and ML/Data Engineers - Overseeing the collection, cleanup, exploration, and statistical analysis of complex datasets to derive business intelligence - Leading the implementation, deployment, and scaling of advanced ML models and algorithms to solve complex business problems - Collaborating with data engineers to design, build, test, and monitor robust data and MLOps pipelines for ongoing business operations - Understanding the client's core business model to ensure the ML solutions built bring measurable, actionable ROI out of data available in various formats Qualifications required for this role include: - 8 to 12 years of overall industry experience, with a proven track record in Data Science, Machine Learning, and technical leadership - Demonstrated experience in stakeholder management and confidently answering to clients while demystifying complex ML concepts - Exceptional, hands-on coding experience in Python and robust experience with popular ML frameworks - Deep expertise in statistical modeling of large data sets and a comprehensive understanding of diverse ML algorithms - Strong experience designing robust data/ML pipelines and transitioning models from experimentation to production environments - Solid foundational experience in data analytics, including extracting actionable insights from raw data - Hands-on experience with Deep Learning, Generative AI, or NLP frameworks - Experience with MLOps practices and tools such as MLflow, Kubeflow, Docker, and Kubernetes - Experience with Cloud platforms (AWS, GCP, or Azure) and their respective ML services Zemoso Technologies offers a competitive salary, a hybrid work model, opportunities for learning and gaining experience rapidly, and reimbursement for basic working setup at home.