Python Developer (Data Analyst & AI/ML)

Keka Technologies Private Limited; Gujarat; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Keka Technologies Private Limited is seeking an analytical and technically strong AI/ML Engineer & Data Analyst to work across machine learning, data analysis, data processing, and AI-driven application development.

The ideal candidate should have strong knowledge of Python, SQL, statistics, machine learning, data visualization, and AI/ML frameworks. You will analyze business data, develop ML models, create data-driven insights, and support AI-powered solutions.

Qualifications

• Strong programming knowledge in Python.

Responsibilities

• Collect, clean, transform, and analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop reports and dashboards to communicate business insights.
• Write complex SQL queries for data extraction and analysis.
• Identify data-quality issues and recommend improvements.
• Work with large datasets and optimize data-processing workflows.
• Translate business requirements into meaningful data insights.
• Develop, train, evaluate, and deploy machine learning models.
• Select appropriate algorithms based on business and technical requirements.
• Perform feature engineering and data pre-processing.
• Evaluate model performance using appropriate metrics.
• Tune and optimize machine learning models.
• Perform model validation and error analysis.
• Maintain and improve existing ML models.
• Develop AI-powered solutions using modern AI/ML technologies.
• Work with NLP, recommendation systems, classification, regression, clustering, or other ML techniques.
• Work with Large Language Models (LLMs) and Generative AI where applicable.
• Develop and integrate AI/ML APIs into applications.
• Explore and evaluate new AI tools, frameworks, and models.
• Work on RAG and vector-search-based applications where required.
• Work closely with software developers, product managers, and business teams.
• Convert business problems into data and machine-learning solutions.
• Create technical documentation for models and data pipelines.
• Monitor model performance and data quality.
• Follow best practices for code quality, testing, version control, and deployment.

Skills

Python

SQL

Statistics

Machine learning

Data visualization

Pandas

NumPy

Scikit-learn

Problem solving

Data analysis

Structured data

Education

Bachelor's or Master's in CS/Data Science/AI/Statistics/Math

Tools

TensorFlow

PyTorch

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

Power BI

Tableau

FastAPI/Flask

Docker

LLM APIs

Job description

We are looking for an analytical and technically strong AI/ML Engineer & Data Analyst who can work across machine learning, data analysis, data processing, and AI-driven application development.

The ideal candidate should have strong knowledge of Python, SQL, statistics, machine learning, data visualization, and AI/ML frameworks . The candidate will be responsible for analyzing business data, developing machine learning models, creating data-driven insights, and supporting the development of AI-powered solutions.

Key Responsibilities

Data Analysis

• Collect, clean, transform, and analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop reports and dashboards to communicate business insights.
• Write complex SQL queries for data extraction and analysis.
• Identify data-quality issues and recommend improvements.
• Work with large datasets and optimize data-processing workflows.
• Translate business requirements into meaningful data insights.
• Develop, train, evaluate, and deploy machine learning models.
• Select appropriate algorithms based on business and technical requirements.
• Perform feature engineering and data pre-processing.
• Evaluate model performance using appropriate metrics.
• Tune and optimize machine learning models.
• Perform model validation and error analysis.
• Maintain and improve existing ML models.

AI Development

• Develop AI-powered solutions using modern AI/ML technologies.
• Work with NLP, recommendation systems, classification, regression, clustering, or other ML techniques.
• Work with Large Language Models (LLMs) and Generative AI where applicable.
• Develop and integrate AI/ML APIs into applications.
• Explore and evaluate new AI tools, frameworks, and models.
• Work on RAG and vector-search-based applications where required.

Collaboration & Engineering

• Work closely with software developers, product managers, and business teams.
• Convert business problems into data and machine-learning solutions.
• Create technical documentation for models and data pipelines.
• Monitor model performance and data quality.
• Follow best practices for code quality, testing, version control, and deployment.

Required Skills

• Strong programming knowledge in Python .
• Strong knowledge of SQL .
• Understanding of statistics and probability.
• Knowledge of machine learning concepts and algorithms.
• Experience with Pandas, NumPy, and Scikit-learn .
• Experience with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau .
• Experience with data cleaning and preprocessing.
• Understanding of model evaluation and performance metrics.
• Strong analytical and problem-solving skills.
• Experience working with structured and unstructured datasets.

Good to Have

• Experience with TensorFlow or PyTorch .
• Generative AI / LLM experience.
• OpenAI or other LLM API integration.
• Vector databases such as Pinecone, Weaviate, or similar.
• LangChain or similar AI frameworks.
• NLP and text-processing experience.
• Experience with AWS, Azure, or Google Cloud.
• Docker and CI/CD knowledge.
• Experience building ML APIs using FastAPI or Flask.
• Experience with data pipelines and ETL/ELT processes.
• Knowledge of MLOps and model deployment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field is preferred.
• Strong analytical and quantitative skills.
• Ability to communicate technical findings clearly to both technical and non-technical stakeholders.
• Strong interest in Artificial Intelligence, Machine Learning, and data-driven technologies.

What We Offer

• Opportunity to work on real-world AI/ML and data projects.
• Exposure to Generative AI, LLMs, RAG, machine learning, and data analytics.
• Opportunity to work with modern AI and cloud technologies.
• Continuous learning and professional development.
• Collaborative and innovation-driven environment.