Data science ML & AI engineer

Data Science / Machine Learning / AI Engineer

Role Overview

We are looking for a Data Science, Machine Learning, and AI Engineer who can design, develop, and deploy intelligent systems using modern AI technologies. The candidate will work on data analysis, predictive modeling, AI-driven applications, and machine learning solutions to solve real-world business problems.

The role involves working with large datasets, building ML models, deploying AI systems, and integrating AI solutions into software products.

Key Responsibilities Data Science & Analytics

• Collect, clean, and analyze structured and unstructured data
• Perform exploratory data analysis (EDA)
• Build dashboards and visualizations to present insights
• Work with business teams to understand data-driven requirements

Machine Learning Development

• Design and implement machine learning models
• Work on classification, regression, clustering, and recommendation systems
• Train, evaluate, and optimize ML models
• Handle feature engineering and model tuning

Artificial Intelligence Development

• Develop AI-powered solutions such as chatbots, recommendation engines, and automation tools
• Work with NLP, Computer Vision, and Deep Learning models
• Integrate LLMs and Generative AI APIs

Model Deployment

• Deploy ML models using APIs and cloud platforms
• Build ML pipelines and automate model retraining
• Monitor and optimize model performance

Collaboration

• Work with software developers, data engineers, and product teams
• Document models, datasets, and workflows
• Participate in code reviews and AI solution architecture

Required Technical Skills Programming Languages

• Python (Primary)
• SQL
• JavaScript (basic for integration)

Machine Learning Frameworks

• Scikit-learn
• XGBoost
• LightGBM
• CatBoost

NLP & Generative AI

• Hugging Face Transformers
• LangChain
• OpenAI API / LLM APIs
• NLTK
• SpaCy

Data Visualization Tools

• Matplotlib
• Seaborn
• Plotly
• Tableau
• Power BI

Databases

• MySQL
• PostgreSQL
• MongoDB
• NoSQL databases

MLOps & Deployment

• Docker
• Kubernetes
• MLflow
• Airflow
• FastAPI / Flask

Cloud Platforms

• AWS
• Google Cloud Platform (GCP)
• Microsoft Azure

AI & ML Specializations (Preferred)Natural Language Processing

• Sentiment analysis
• Chatbots
• Text classification

Computer Vision

• Image classification
• Object detection
• OCR systems

Predictive Analytics

• Forecasting
• Recommendation engines
• Customer behavior analysis

Soft Skills

• Strong analytical thinking
• Problem-solving ability
• Good communication skills
• Ability to work with cross-functional teams
• Research mindset for experimenting with AI models

Nice to Have Skills

• Generative AI application development
• Prompt engineering
• LLM fine-tuning
• Reinforcement learning
• Vector databases (Pinecone, Weaviate, FAISS)

Sample Projects Expected

Candidates should have experience in projects like:

• AI Chatbot Development
• Predictive Analytics Models
• Recommendation Systems
• Fraud Detection Systems
• NLP Text Analysis
• Computer Vision Projects

Deliverables

• Production-ready ML models
• AI-driven applications
• Data insights and analytics dashboards
• Scalable AI pipelines

Job Types: Full-time, Permanent, Fresher

Pay: ₹10,000.00 - ₹25,000.00 per month

Work Location: In person