Website:
ltm.com
Job details:
📋 Job Overview
We are looking for a Gen AI + Data Science Specialist who combines deep data science expertise with hands-on Generative AI skills. The ideal candidate will leverage statistical modeling, data analytics, and Gen AI technologies to derive actionable insights and build intelligent, data-driven AI solutions.
📌 Note
Applicants should have hands-on experience in Gen AI + Python and knowledge of Large Language Models (LLMs), RAG pipelines, embeddings, and prompt engineering. Practical experience with AI-driven and GenAI applications is preferred.
🔧 Key Responsibilities
- Apply advanced statistical methods, machine learning, and Gen AI techniques to solve complex business problems.
- Build and deploy Gen AI solutions such as intelligent document processing, automated report generation, and AI-powered analytics.
- Develop and optimize RAG pipelines, embeddings, and LLM-based workflows for data-centric applications.
- Perform exploratory data analysis (EDA), feature engineering, and predictive modeling on large-scale datasets.
- Design prompt engineering strategies and fine-tune LLMs for domain-specific data science tasks.
- Create interactive dashboards, visualizations, and data stories for stakeholders and leadership.
- Collaborate with engineering and product teams to operationalize data science models and Gen AI solutions.
- Stay current with emerging trends in Gen AI, NLP, and advanced analytics to drive innovation.
✅ Must-Have Skills
- Strong expertise in Data Science — statistical modeling, hypothesis testing, regression, clustering, and classification.
- Hands-on experience with Python and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
- Working knowledge of Generative AI, Large Language Models (LLMs), and NLP techniques.
- Experience with RAG pipelines, embeddings, vector databases, and prompt engineering.
- Proficiency in SQL and experience working with structured and unstructured data.
- Experience with data visualization tools (Power BI, Tableau, or Plotly).
- Familiarity with cloud-based AI/ML services (Azure AI, AWS SageMaker, or GCP Vertex AI).
🌟 Good-to-Have Skills
- Experience with LangChain, LlamaIndex, or similar Gen AI orchestration frameworks.
- Knowledge of Deep Learning frameworks (TensorFlow, PyTorch) for advanced modeling.
- Exposure to big data technologies (Spark, Databricks, or Hadoop).
- Experience with A/B testing, experimentation design, and causal inference.
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