Senior Associate - Data Science

Key Responsibilities:

• Proficient in programming languages like R, Python, and database query languages such as SQL, Hive, and Pig. Familiarity with Scala, Java, or C++ is an added advantage. - Strong expertise in Statistical modeling and Machine techniques including time series forecasting, Reliability models, Markov Models, Bayesian Modeling, Classification Models, Cluster Analysis, Neural Network, etc. - Good exposure to deep learning and associated frameworks like PyTorch, TensorFlow, and Keras. - Ability to preprocess structured and unstructured data by processing, cleansing, and validating its integrity for analysis. - Experience with cloud platforms for building, training, and deploying ML Models on Azure/AWS/GCP. - Proficient in distributed computing environments and big data platforms like Hadoop, Elasticsearch, as well as common database systems and value stores. - Hands-on experience in MLOps including Dockerization, REST APIs, and CI/CD/CT processes. - Utilize version control for maintaining codebase integrity and collaboration in a development environment. - Design, deploy, and manage prompt-based models for various NLP tasks. - Build and maintain data pipelines and processing workflows for prompt engineering utilizing cloud services for scalability. - Familiarity with LLM orchestration and agentic AI libraries. - Good understanding of business and the ability to translate domain problems into data science problems. - Effective communication with both technical and non-technical stakeholders. Qualifications Required:

• B.Tech/MCA/BCA/M.tech degree. - Bachelor of Engineering or Master of Engineering. Key Responsibilities: