IN_Specialist 3_Data Scientist Gen AI_Data & Analytics_Advisory_PAN India

Description

& Summary : A career within….

Responsibilities :

• Designing and building analytical / DL / ML algorithms using Python, R and other statistical tools.
• Strong data representation and lucid presentation (of analysis / modelling output) using Python, R Markdown, Power Point, Excel etc.
• Ability to learn new scripting language or analytics platform. Technical Skills required (must have)
• Hands On Exposure to Generative AI (Design, development of GenAI application in production)
• Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications.
• Strong understanding of deploying and optimizing AI application in production.
• Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis.
• Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.)
• Strong knowledge of SQL and R / Python and experience with distribute data / computing tools / IDEs.
• Experience in advanced Text Analytics (NLP, NLU, NLG).
• Strong hands-on experience of end-to-end statistical model development and implementation
• Understanding of LLMOps, ML Ops for scalable ML development.
• Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.).
• Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc.
• Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI / Sage maker / Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more)
• Experience in video / image analytics (Computer Vision)
• Experience in IoT / machine logs data analysis
• Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME
• Expertise in Cloud analytics platforms (Azure, AWS or Google)
• Experience in Process Mining with expertise in Celonis or other tools
• Proven capability in using Generative AI services like OpenAI, Google (Gemini)
• Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.)
• Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique.
• Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion

Mandatory skill sets :

AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit

Preferred skill sets :

AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit

Years of experience required :

3-6 Years

Education qualification :

BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths)

Education

Degrees / Field of Study required : Bachelor of Technology, Master of Engineering, Bachelor of EngineeringDegrees / Field of Study preferred :

Certifications

Required Skills

AI Programming

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date