Clarus Business Solutions Pvt Ltd

Role & responsibilities Design and develop machine learning models: Building and optimizing ML algorithms for specific business needs. Data analysis and preprocessing: Working closely with large datasets to extract insights, ensure quality, and prepare data for modeling. Collaboration: Partnering with data scientists, software engineers, product managers, and stakeholders to define project requirements and implement solutions. Deploying and integrating AI solutions: Implementing and maintaining production-ready AI models and integrating them into business systems. Staying current: Keeping up with the latest advancements in AI/ML technologies and frameworks. Documentation: Clearly documenting processes, architectures, and best practices for future reference. Preferred candidate profile Education: Bachelors or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Programming Skills: Proficiency in Python is most common, with experience in Java or C++ as valuable additions. ML Frameworks: Hands-on work with TensorFlow, PyTorch, Keras, Scikit-learn, and often LangChain or similar advanced AI libraries. Data Skills: Ability to process and analyze large datasets using tools like Pandas, SQL, Spark, and Hadoop. Math Foundations: Strong understanding of linear algebra, calculus, probability, statistics, and optimization algorithms. Cloud & MLOps: Experience deploying models on AWS, GCP, or Azure and knowledge of MLOps tools and best practices is a significant plus. Specialized Tech: Familiarity with vector databases, LLMs (Large Language Models), Retrieval-Augmented Generation (RAG), or technologies like Docker/Kubernetes is often preferred for advanced roles.