Senior Consultant/Consultant - Artificial Intelligence & Machine Learning

You will be joining Sirius AI, a US-based AI consulting services and products company with operations in India, focusing on Financial Services enterprises worldwide. The team at Sirius AI comprises individuals from diverse backgrounds, combining their skills in Data, Platform, Technology, and AI to develop innovative solutions and deliver client engagements effectively. **Key Responsibilities:** - Support in translating business needs within financial services domains like marketing, risk, compliance, and customer lifecycle management into well-defined machine learning problem statements and solution workflows. - Utilize analytics and machine learning techniques to solve business problems, including exploratory data analysis, feature engineering, and model development. - Develop and deploy ML models, including supervised and unsupervised learning algorithms, and optimize model performance. - Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch. - Collaborate with cross-functional teams to deliver robust solutions in cloud environments like AWS, Azure, or GCP. - Act as a master storyteller for projects, delivering insights driven by data. - Stay updated with AI and ML best practices and integrate them into project work. - Mentor junior team members, guide on modelling practices, and foster a culture of continuous learning and improvement. **Job Requirements:** - 1 to 5 years of experience in building ML solutions, with a strong foundation in machine learning modelling and deployment. - Exposure to banking, payments, fintech, or Wealth management domains, with experience in areas such as marketing analytics, customer churn analysis, credit risk assessment, fraud detection, and customer segmentation. - Proficiency in Python and AI/ML libraries like Scikit-learn, TensorFlow, PyTorch. - Hands-on experience in end-to-end model development lifecycle. - Eagerness to learn and keep up with developments in Agentic AI space. - Strong problem-solving skills and the ability to lead tasks independently or within a team. - Effective communication and presentation skills for internal and client interactions. **Benefits:** - Join a highly innovative and collaborative firm focusing on leveraging AI and client data for cutting-edge solutions. - Work with recognized leaders in the AI and data consulting industry. - Competitive salary and benefits package. - Opportunity to work with modern cloud technologies and invest in professional growth. You will be joining Sirius AI, a US-based AI consulting services and products company with operations in India, focusing on Financial Services enterprises worldwide. The team at Sirius AI comprises individuals from diverse backgrounds, combining their skills in Data, Platform, Technology, and AI to develop innovative solutions and deliver client engagements effectively. **Key Responsibilities:** - Support in translating business needs within financial services domains like marketing, risk, compliance, and customer lifecycle management into well-defined machine learning problem statements and solution workflows. - Utilize analytics and machine learning techniques to solve business problems, including exploratory data analysis, feature engineering, and model development. - Develop and deploy ML models, including supervised and unsupervised learning algorithms, and optimize model performance. - Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch. - Collaborate with cross-functional teams to deliver robust solutions in cloud environments like AWS, Azure, or GCP. - Act as a master storyteller for projects, delivering insights driven by data. - Stay updated with AI and ML best practices and integrate them into project work. - Mentor junior team members, guide on modelling practices, and foster a culture of continuous learning and improvement. **Job Requirements:** - 1 to 5 years of experience in building ML solutions, with a strong foundation in machine learning modelling and deployment. - Exposure to banking, payments, fintech, or Wealth management domains, with experience in areas such as marketing analytics, customer churn analysis, credit risk assessment, fraud detection, and customer segmentation. - Proficiency in Python and AI/ML libraries like Scikit-learn, TensorFlow, PyTorch. - Hands-on experience in end-to-end model development lifecycle. - Eagerness to learn and keep up with developments in Agentic AI space. - Strong problem-solving skills and the ability to lead tasks independently or within a team. - Effective communication and presentation skills for internal and client interactions. **Benefits:** - Join a highly innovative and collaborative firm focusing on leveraging AI and client data for cutting-edge solutions. - Work with recognized leaders in the AI and data consulting industry. - Competitive salary and benefits package