Location: Hinjewadi, Pune (Work from office mandatorily)
Commercials: 1.6LPM+GST
Contract Duration: 2 - 4 months
Roles And Responsibilities
Develop custom LLMs using graphs, NLP techniques, DL, and ML methodologies to extract insights and derive meaningful patterns from data.
Design and implement recommendation systems to enhance user experiences, increase customer engagement, and drive revenue generation.
Analyze and preprocess large data sets, ensuring data quality and accuracy for model development.
Apply statistical analysis, hypothesis testing, and data visualization techniques to extract actionable insights and communicate findings to stakeholders.
Utilize predictive modeling and machine learning algorithms to optimize business outcomes, such as customer segmentation, revenue generation, and ad targeting.
Collaborate with cross-functional teams to develop A/B testing frameworks, monitor model performance, and iterate on models based on feedback.
Stay up-to-date with the latest advancements in DL, ML, graphs, NLP, and recommendation systems, and apply them to improve data-driven solutions.
Essential Skills
Solid understanding of data science principles, statistical analysis, and machine learning algorithms.
Proficiency in programming languages such as Python, R, or Scala for data manipulation, analysis, and modeling.
Experience in developing custom LLMs, utilizing graphs, NLP techniques, DL, and ML methodologies.
Strong knowledge of recommendation systems, collaborative filtering, content-based filtering, and evaluation metrics.
Familiarity with graph-based analytics, graph algorithms, and network analysis.
Ability to preprocess and clean data, handle missing values, and deal with unstructured text data.
Proficient in using libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, or NLTK.
Excellent problem-solving skills and ability to translate business requirements into data-driven solutions.
Strong communication skills to effectively collaborate with cross-functional teams and present complex findings to non-technical stakeholders.
Education And Experience
Master's degree or PHD in Data Science, Computer Science, Statistics, or a related field with at least 3 years’ experience in Advanced NLP architecture like Transformers, BERT, XLNET, RoBERTa, T5, GPT.
Bachelor's degree with Proven experience as a Data Scientist for at least 5 Years, with a focus on developing LLMs and Advanced NLP architecture like Transformers, BERT, XLNET, RoBERTa, T5, GPT..