Data Scientist

Skills: Traditional DS+ NLP+DL+AI

Job Role: Data Sciences - GENAI Engineer

Location: Any LTIM Location

Job Description:

We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams

Responsibilities for Data Scientist:

• Work with stakeholders to identify opportunities for leveraging data to drive business solutions
• Mine and analyse data from databases to drive optimization and improvement of product development and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom models and algorithms to apply to data sets
• Use predictive modelling to increase and optimize customer experiences
• Coordinate with different functional teams to implement models and monitor outcomes
• Analyse large amounts of information to discover trends and patterns
• Build predictive models and machinelearning algorithms
• Present information using data visualization techniques
• Good to have a knowledge of ML lifecycle and model governance
• Develop and Deploy advanced Generative AI large language models Azure OpenAI Machine Learning and Deep Learning Modelsalgorithms to enhance andor automate existing business processes with predictive and intelligent decision making content aggregation and contextualized insights
• Have experience in developing productionlevel Gen AI solutions by utilizing Azure OpenAI services
• Familiar with prompt engineering retrievalaugmented generation Llama index Vector DB and finetuning of opensource LLMs

Qualifications for Data Scientist

• Looking for someone with 5-8 years of experience manipulating data sets and building statistical models having bachelors or masters degree in Statistics Mathematics Computer Science or another quantitative field and is familiar with the following softwaretools
• Experience using statistical computer languages R Python etc to manage data and draw insights from large data sets
• Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks XGBoost KNN SVM ANN etc
• Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications
• Knowledge and experience in statistical and data mining techniques GLMRegression Random Forest Boosting Trees text mining social network analysis etc
• Experience creating and using advanced machine learning algorithms and statistics regression simulation scenario analysis modeling clustering decision trees neural networks etc
• Experience visualizingpresenting data for stakeholders
• Experience with Snowflake will be an added advantage
• Experience in deployment of machine learning models using cloud technologies

Job Role: Python GENAI Engineer

Location: Any LTIM Location

Job Description:

Key Responsibilities Integrate with AI models using FAST API/Flask API, including Generative AI models, to solve complex problems. Experience using frameworks like LangChain, LlamaIndex, and agent orchestration tools such as LangGraph, AutoGen, and CrewAI. Deploy and manage applications in cloud environments (AWS, Azure, or GCP), ensuring scalability, resilience, and cost efficiency. Experience in integrate with full-stack AI-driven applications and modern front-end frameworks like React, Angular, Vue, or Implement monitoring and observability solutions for real-time tracking, logging, and debugging of AI models and APIs. Design and implement disconnected architectures (Kafka, RabbitMQ etc.) that can operate with limited or intermittent connectivity. Integrate web crawling and data ingestion pipelines to automate data collection from various sources. Collaborate with cross-functional teams, including data scientists, front-end developers, and DevOps engineers, to deploy AI models into production. Participate in code reviews, provide constructive feedback, and contribute to best practices in AI development. Stay updated with the latest advancements in AI, cloud technologies, web development, and agent-based architectures.

Skills

Mandatory Skills : GENAI, Python, Cloud

Role: GCP Vertex AI Engineer

Exp years of handson experience with Generative AI AI ML and Data Science technologies.

Job Details:

Extensive handson experience in implementing end to end projects utilizing GenerativeAI.

Experience in building production grade solutions utilizing GenerativeAI as well as AI and ML components

Extensive handson experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc

Experience in working with structured as well as unstructured data for building RAG based solutions

Hands on experience in working with cloud AI services GCP Vertex AI Azure AI AWS Bedrock as well as managed large language models Preferred GCP but other cloud experience can be considered

Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc

Experience with agent frameworks such as Google ADK Langgraph CrewAI etc

Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc

Experience with AIML deep learning TensorFlow Python NLP

Excellent understanding of Generative AI related concepts methodologies and techniques

Skills