Data Science + Gen AI with below mandatory skills.
Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud
Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token
Management, Knowledge Graph, Vision
Exp Range - 10 to 12 years
Requirements
Major Duties & Responsibilities
- Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business
questions
Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deploymentand operationalization of projects
Influence machine learning strategy for Digital programs and projectsMake solution recommendations that appropriately balance speed to market and analytical soundnessExplore design options to assess efficiency and impact, develop approaches to improve robustness and rigorDevelop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,TensorFlow)
Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,scenarios, and stories.
Create algorithms to extract information from large, multiparametric data sets.Deploy algorithms to production to identify actionable insights from large databases.Compare results from various methodologies and recommend optimal techniques.Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,scenarios, and stories.
Develop and embed automated processes for predictive model validation, deployment, and implementationWork on multiple pillars of AI including cognitive engineering, conversational bots, and data scienceEnsure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriatereusability, and reliability upon deployment
Lead discussions at peer review and use interpersonal skills to positively influence decision makingProvide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; makeimpactful contributions to internal discussions on emerging practices
Facilitate cross-geography sharing of new ideas, learnings, and best-practicesRequired Qualifications
Bachelor of Science or Bachelor of Engineering at a minimum.10-12 years of work experience as a Data ScientistA combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able toquickly cycle hypothesis through the discovery phase of a project
Advanced skills with statistical / programming software (e.g., R, Python) and data querying languages (e.g., SQL,Hadoop / Hive, Scala)
Good hands-on skills in both feature engineering and hyperparameter optimizationExperience producing high-quality code, tests, documentationExperience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,Synapse, Databricks
Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machinelearning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
Proficiency in statistical concepts and ML algorithmsGood knowledge of Agile principles and processAbility to lead, manage, build, and deliver customer business results through data scientists or professional services teamAbility to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions andresults
Self-motivated and a proactive problem solver who can work independently and in teamsBenefits
Work with one of the Big 4's in India
