A leading IT consulting firm is seeking candidates for a full-time position in Pune, Maharashtra. The role demands strong expertise in LLMs, machine learning algorithms, and statistical programming languages like Python. Candidates should have a profound understanding of data visualization, problem-solving skills, and the ability to work collaboratively with business and IT teams. This position offers a chance to work on cutting-edge technologies and contribute significantly to the firm's analytics capabilities.
Qualifications
Strong Software Engineering Background.
Hands-on experience with data science tools.
Analytical mind and great business sense.
Productionizing ML/DL applications and monitoring.
Responsibilities
Presenting results in a clear manner.
Collaboration with Business and IT teams.
Designing and developing machine learning and deep learning systems.
Skills
Experience in LLMs
Embedding Models
Prompt Engineering
Statistical programming languages like Python
Machine learning algorithms
Data Visualization Tools
Fine tuning of LLM
Problem-solving aptitude
Data mining
Transformer architecture
Data preprocessing
Data mining
Feature selection
GenAI solutions
Problem solving
Tools
Langsmith framework
RAG/Multimodal Architecture
Agentic AI Framework
Data science tools
AutoGen
LangGraph
Google AVD
Job description
Job Requirements
Experience in LLMs, Embedding Models, Prompt Engineering
Knowledge of statistical programming languages like Python
Good applied statistical skills
Good knowledge of machine learning algorithms
Proficiency in handling imperfections in data & generating insights and patterns.
Experience with Data Visualization Tools
Fine tuning of LLM
Evaluation Framework (RAGAS, ROUGE, BLUE Scrore)
Langsmith framework
RAG/Multimodal Architecture using Langchain/ LlamIndex
Experience Agentic AI Framework ( Crew AI, AutoGen, LangGraph, Google AVD etc. )
Experience in Model deployment, LLMOps, Scalability and Performance
Fine tuning of LLM
AI ML exp.
Candidate has exp. in Transformer Architecture (Encoder and decoders)
Knowledge Graph implementation (If anyone has created knowledge graph, that's good)
Strong Software Engineering Background (Productionizing the models)
Hands-on experience with data science tools
Problem-solving aptitude
Analytical mind and great business sense
Data mining or extracting usable data from valuable data sources.
Using machine learning tools to select features, create and optimize predictive models.
Carrying out preprocessing of structured and unstructured data
Enhancing data collection procedures to include all relevant information for developing analytic systems.
Processing, cleansing, and validating the integrity of data to be used for analysis
Analyzing large amounts of information to find patterns and solutions.
Developing prediction systems and machine learning algorithms
Ability to use LLMs to build GenAI powered solutions.
Presenting results in a clear manner
Propose solutions and strategies to tackle business challenges.
Collaborate with Business and IT teams.
Designing and developing machine learning and deep learning systems
Knowledge of productionizing the ML and DL applications and monitoring