Senior Associate, Data Science, Data and Analytics, Advisory

Responsibilities:

· Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. · Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc. · Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). · Ability to perform preprocessing of structured and unstructured data: Processing, cleansing, and validating the integrity of data to be used for analysis. · Strong working experience with cloud platforms: build, train, and deploy ML Models on Azure/AWS/GCP. · Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.). · Hand-on experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes). · Adaptation of foundation models/LLMs to address specific business challenges. · Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment. · Design, deploy and manage prompt-based models on LLMs for various NLP tasks. · Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. · Familiarity with LLM orchestration and agentic AI libraries. · Good understanding of business and ability to translate domain problems to data science problem. · Ability to communicate effectively with both technical and non-technical stakeholders.

Mandatory skill sets:

· Python, GenAI ,Machine learning, data science

Preferred skill sets:

· Data analysis, SQL, MLOPS

Years of experience

required: 5+

Education qualification:

BE/B.Tech/MBA/MCA