Job Summary
Experience:
8.00 - 10.00 Years
Industrial Type:
IT-Hardware & Networking
Location:
Bangalore
Functional Area:
IT Software - Application Programming / Maintenance
Designation:
Manager - Advanced Analytics ML GenAI
Key Skills:
Data Analytics, Machine Language, Gen AI
Educational Level:
Graduate/Bachelors
Job Post Date:
2025-11-11 15:31:11
Stream of Study:
Degree:
BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, MCA, ME-Comp/IT, ME-Other, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MS-Other, MTech-Comp/IT, MTech-Other, PG-Other, PhD-Comp/IT, PhD-Other
Company Description
Operating across more than 145 countries, our client is trusted by leading brands across a broad range of sectors, from pioneering technology to cutting-edge fashion. They leverage technology, creativity, and in-depth data analytics to drive superior results that amplify its clients` brands.They are transforming advertising as a force for growth, a force for good and has become the destination for employees to cultivate meaningful careers and for brands to accelerate previously unseen, sustainable growth.
Job Description
Proficient in the following advanced analytics techniques:
• Descriptive Analytics: Statistical analysis, data visualization.
• Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling
• Prescriptive Analytics: Optimization, simulation modeling.
• Text Analytics: Natural Language Processing (NLP), sentiment analysis.
Extensive knowledge of machine learning techniques, including:
• Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others
• Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others
• Reinforcement Learning: Q-learning, deep Q-networks, etc.
Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents.
• Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives
• Hyper parameter tuning
• Prompt Engineering
• Embedding & Vectorization
• Fine tuning
Proficiency in data visualization tools such as Tableau or Power BI.
Strong skills in data management, structuring, and harmonization to support analytical
