Chennai, Tamil Nadu, India
Information Technology
Full-Time
iLink Digital
Overview
Job Description
- 5+ years of experience in product analytics or data science. Practical project experience in advanced data analysis, statistical modeling, and machine learning concepts is essential.
- Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute.
- Analytical thinker with a passion for using data and scientific methods to solve business problems.
- Proficient with common analytical programming languages e.g. Python; expert in SQL. Experience with writing production-ready code in Python and automation.
- Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL, and Spark.
- Experience with tools like git, mlFlow, Airflow, Cron, Docker, and Cloud Platforms such as AWS/GCP is a plus.
- Strong proficiency in core Data Science, Machine Learning, and Statistical modeling.
- In-depth experience in techniques from time-series forecasting and/or causal inference.
- Experience with Experiment Design, Natural Language Processing, Neural Network architectures, Recommendation Systems, and Large Language Models, Generative AI (LLM) is highly desirable.
- Deep knowledge of techniques such as Linear Regression, Gradient Descent, Logistic Regression, Forecasting Time Series, Cluster Analysis, Decision Trees, Linear Optimization, and Text Mining.
- Must have Semantic Modeling & NER (Named Entity Recognition) experience.
- Experience working with pre-trained models, awareness of the state-of-art in embeddings and their applicability for use cases.
- Must have strong experience in NLP/NLG/NLU applications using popular deep learning frameworks like PyTorch, TensorFlow, BERT, Langchain, and GPT (or similar models).
- Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT-3.5 & 4, and Prompt Engineering.
- Experienced in developing and deploying data science models, especially in the Cloud environment.
- Must have worked using Azure services or AWS SageMaker for ML & GenAI projects.
- Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains.
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