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 - 6 to 9 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 deployment
and operationalization of projects
- Influence machine learning strategy for Digital programs and projects
- Make solution recommendations that appropriately balance speed to market and analytical soundness
- Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
- Develop 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 implementation
- Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
- Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate
reusability, and reliability upon deployment
- Lead discussions at peer review and use interpersonal skills to positively influence decision making
- Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make
impactful contributions to internal discussions on emerging practices
- Facilitate cross-geography sharing of new ideas, learnings, and best-practices
Required Qualifications
- Bachelor of Science or Bachelor of Engineering at a minimum
- 6-9 years of work experience as a Data Scientist
- 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
- 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 optimization
- Experience producing high-quality code, tests, documentation
- Experience 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, machine
learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
- Proficiency in statistical concepts and ML algorithms
- Good knowledge of Agile principles and process
- Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
- Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and
results
- Self-motivated and a proactive problem solver who can work independently and in teams
Benefits
Work with one of the Big 4's in India
