Data Scientist
Job Description
*Need Immediate joiners only
Position: Data Scientist
Location: Gurugram
Work Mode: Hybrid Setup
- 8-10 years (try at least 5 years relevant)
- AI/ML Expertise: KNN, SVM, Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP.
- 6 months -1 year on Generative AI & Agentic AI: LangChain, OpenAI models, prompt engineering, RAG pipelines.
- More on traditional machine learning with cloud aws exposure
- Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing
- Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines
- Good communication skills
- Hands on Python Coding
More Info
Key Skills
Generative AI
Modular coding
ML Pipelines
Data distributions
Data drift
RAG pipelines
LangChain
OpenAI models
LSTMs
prompt engineering
Agentic AI
production level ML solutions
About Company
Skills:
probability , BigQuery, Machine Learning Algorithms, Sql, MLops, Elasticsearch, Spark, Python, Vector search, Predictive modeling techniques, Statistics, Recommendation systems, Feature engineering, Embeddings, Real-time data processing, Search ranking, Data visualization tools, Deployment pipelines, Model evaluation
Skills:
production deployment , Personalization, Nlp, Gcp, Azure, Python, AWS, feature stores, Generative AI, LLMs, model training, behavioural and event-streaming datasets, search systems, vector databases, a/b testing, embedding-based retrieval systems, video understanding models, MLOps tooling, feature engineering, ML experimentation frameworks
Skills:
Machine Learning, Pyspark, Sql, Nlp, Pytorch, Databricks, Python, Generative AI, LLMs, MLflow, LLM APIs, RAG, Azure AI services
Skills:
data engineering , statistical concepts , Ml, Data Modelling, Predictive Analytics, GenAI, Ai, Developing AI solutions frameworks
Skills:
Python, Sql, Hadoop, Spark, Data Modeling, Machine Learning, Data Warehousing, Cloud Computing, Big Data, ETL Processes