Job
Description
As an AI/ML/DS Engineer, you will work on developing, implementing, and optimizing AI/ML models and data-driven solutions. You will collaborate with cross-functional teams to build scalable and efficient AI-based applications. Your Key Responsibilities Design, develop, and deploy machine learning models and data science solutions. Work with large datasets, preprocess and analyze data for insights. Implement and optimize deep learning and statistical models. Collaborate with software engineers and data engineers to integrate models into production systems. Stay updated with the latest trends and advancements in AI/ML and Data Science. Your skills and experience that will help you excel Final year students or recent graduates in Computer Science, Data Science, AI, Mathematics, or related fields. Strong programming skills in Python, R, or Java. Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-Learn. Proficiency in SQL and working with databases. Good understanding of data structures, algorithms, and statistics. Strong problem-solving skills and analytical mindset. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum. . . To all recruitment agencies . Note on recruitment scams
