AI/ML Data Scientist

Role & responsibilities - Immediate Joiner( Relocation Possible )

Job Description AI/ML Data Scientist (8 to 12 Years Experience)

Position

AI/ML Data Scientist

Experience

8 to 12 Years

Location

Bangalore

Notice Period

Immediate to 20 Days Preferred

Job Summary

We are seeking a highly skilled AI/ML Data Scientist with 8 to 12 years of experience in designing, developing, and deploying Machine Learning and Generative AI solutions. The ideal candidate will have strong expertise in data science, predictive modeling, deep learning, NLP, MLOps, and cloud-based AI platforms to deliver business-driven AI solutions at scale.

Key Responsibilities

• Design, develop, and deploy Machine Learning and AI models for real-world business problems.
• Build predictive, classification, recommendation, forecasting, and optimization models.
• Analyze structured and unstructured datasets to derive actionable insights.
• Develop and implement Generative AI, LLM, and NLP-based solutions.
• Perform feature engineering, model selection, hyperparameter tuning, and performance optimization.
• Build scalable AI pipelines and production-ready ML solutions.
• Collaborate with business stakeholders to translate business requirements into data science solutions.
• Implement MLOps practices for model deployment, monitoring, and governance.
• Mentor junior data scientists and ML engineers.
• Stay updated with emerging AI, GenAI, LLM, and Data Science trends.

Required Technical Skills

Programming & Data Handling

• Python
• SQL
• PySpark
• Pandas
• NumPy
• Scikit-learn

Machine Learning

• Supervised Learning
• Unsupervised Learning
• Ensemble Techniques
• Time Series Forecasting
• Recommendation Systems
• Statistical Modeling

Deep Learning

• TensorFlow
• PyTorch
• Keras
• CNN
• RNN
• Transformers

Generative AI & LLMs

• OpenAI
• Azure OpenAI
• LangChain
• LangGraph
• RAG (Retrieval-Augmented Generation)
• Prompt Engineering
• Fine-Tuning LLMs
• Vector Databases

NLP

• NLTK
• SpaCy
• Hugging Face
• Text Classification
• Named Entity Recognition (NER)
• Sentiment Analysis
• Conversational AI

Big Data Technologies

• Apache Spark
• Databricks
• Hadoop Ecosystem
• Kafka

Cloud Platforms

• AWS (SageMaker, S3, Lambda)
• Azure AI Services
• Google Vertex AI

MLOps & Deployment

• MLflow
• Kubeflow
• Docker
• Kubernetes
• CI/CD Pipelines
• Model Monitoring
• Git

Databases

• SQL Server
• PostgreSQL
• MySQL
• MongoDB
• Vector Databases (Pinecone, FAISS, ChromaDB)

Leadership Responsibilities

• Lead AI/ML solution architecture and technical design discussions.
• Drive end-to-end model development lifecycle.
• Mentor and guide Data Scientists and ML Engineers.
• Review model performance, scalability, and deployment strategies.
• Work closely with Product, Engineering, and Business teams.
• Define AI best practices, governance, and model validation standards.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, AI, or related field.
• 812 years of experience in Data Science, Machine Learning, and AI solutions.
• Strong hands-on expertise in Python and ML frameworks.
• Experience deploying AI/ML models to production environments.
• Strong understanding of statistics, probability, and data modeling.
• Experience working in Agile/Scrum environments.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience with Multi-Agent AI Systems.
• Exposure to AI Governance and Responsible AI.
• Hands-on experience with LLM Fine-Tuning and RAG Architectures.
• Cloud AI/ML Certifications (AWS, Azure, GCP).
• Knowledge of Graph AI and Knowledge Graphs.

Keywords

AI, Machine Learning, Data Scientist, Generative AI, GenAI, LLM, GPT, LangChain, LangGraph, RAG, Python, PyTorch, TensorFlow, NLP, Deep Learning, MLOps, Databricks, Spark, Azure OpenAI, AWS SageMaker, Vector Database, MLflow, Predictive Analytics, Data Science, AI Solutions, Feature Engineering, Model Deployment.

Preferred candidate profile

Interested Candidate Kindly share me cv on [email protected] and Kindly share me references of Friends, Colleagues and Relatives.