Job Description
<p><p><b>Must to Have :</b> 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.<br/><br/></p><p><b>Exp Range : </b>6 to 9 years.<br/><br/><b>Requirements :</b><br/><br/><b>Major Duties & Responsibilities :</b><br/><br/>- Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions.<br/><br/>- Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects.<br/><br/>- Influence machine learning strategy for Digital programs and projects.<br/><br/>- Make solution recommendations that appropriately balance speed to market and analytical soundness.<br/><br/>- Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor.<br/><br/>- Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow).<br/><br/>- Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.<br/><br/>- Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.<br/><br/>- Create algorithms to extract information from large, multiparametric data sets.<br/><br/>- Deploy algorithms to production to identify actionable insights from large databases.<br/><br/>- Compare results from various methodologies and recommend optimal techniques.<br/><br/>- Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.<br/><br/>- Develop and embed automated processes for predictive model validation, deployment, and implementation.<br/><br/>- Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science.<br/><br/>- Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.<br/><br/>- Lead discussions at peer review and use interpersonal skills to positively influence decision making.<br/><br/>- Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices.<br/><br/>- Facilitate cross-geography sharing of new ideas, learnings, and best-practices.<br/><br/><b>Required Qualifications :</b><br/><br/>- Bachelor of Science or Bachelor of Engineering at a minimum 6- 9 years of work experience as a Data Scientist.<br/><br/>- A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project.<br/><br/>- Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala).<br/><br/>- Good hands-on skills in both feature engineering and hyperparameter optimization.<br/><br/>- Experience producing high-quality code, tests, documentation.<br/><br/>- Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks.<br/><br/>- Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies.<br/><br/>- Proficiency in statistical concepts and ML algorithms.<br/><br/>- Good knowledge of Agile principles and process.<br/><br/>- Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team.<br/><br/>- Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results.<br/><br/>- Self-motivated and a proactive problem solver who can work independently and in teams.<br/><br/><b>Benefits :</b><br/><br/>- Work with one of the Big 4's in India.</p><br/></p> (ref:hirist.tech)