
Job Summary:
As a Senior Data Consultant I, you will lead advanced analytics and AI initiatives, including Generative AI solutions, across diverse industries. You'll work with cross-functional teams to solve complex business problems using data science, machine learning, and GenAI technologies. This role demands technical depth, strategic thinking, and strong communication skills.
- Proficiency in Python and SQL for data manipulation and modeling
- Strong understanding of machine learning techniques including regression, classification, clustering, and model evaluation
- Experience with data wrangling and transformation using libraries like Pandas and NumPy
- Ability to build and interpret data visualizations using tools such as Power BI or Tableau
- Hands-on experience with cloud platforms like AWS, Azure, or GCP for model deployment and data workflows
- Solid foundation in statistical analysis and hypothesis testing
- Excellent communication skills for client interaction, documentation, and presentation
Working knowledge of Generative AI including:
- Prompt engineering for LLMs
- Fine-tuning and deploying models using APIs (e.g., OpenAI, Azure OpenAI, Hugging Face)
- Understanding of ethical AI and responsible GenAI practices
- Familiarity with big data tools such as Apache Spark, Hadoop, or Databricks
- Experience with MLOps practices including CI/CD pipelines and model monitoring
- Domain expertise in industries like BFSI, healthcare, retail, or telecom
- Exposure to advanced AI techniques such as:
- Natural Language Processing (spaCy, NLTK)
- Computer Vision (OpenCV, YOLO)
- Hands-on experience with GenAI frameworks and tools:
- LangChain for building LLM-powered applications
- Retrieval-Augmented Generation (RAG) architectures
- Vector databases like FAISS or Pinecone
- Multimodal models combining text, image, or audio inputs
- Relevant certifications in data science, cloud platforms, or GenAI (e.g., AWS Certified Machine Learning, Azure Data Scientist Associate)
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