Machine Learning / Data Science Engineer

ConveGenius; Dadri; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

ConveGenius is seeking a data science professional to build and refine machine learning models powering data-driven solutions. You will prepare raw data, engineer features, train models, and evaluate performance to extract actionable insights from large datasets.

You will collaborate with team members across functions in a fast-moving environment, applying ML fundamentals and modern libraries. Strong Python experience and SQL skills are expected for this role.

Qualifications

• Bachelor's or Master's degree in CS/DS/Stats/Mathematics/AI/ML or related field.
• Strong grasp of ML fundamentals, statistics, and data science methodology.
• Proficiency in Python with NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch.
• Understanding of supervised and unsupervised learning and their applications.
• Experience with data preprocessing, feature engineering, model training, evaluation, and hyperparameter tuning.
• Solid grounding in statistics and quantitative data analysis.
• Working knowledge of SQL and databases (relational or non-relational).
• Proven problem-solving and analytical thinking across technical challenges.
• Ability to learn new tools/frameworks in a fast-moving team.
• Familiarity with Git and REST API design; NLP/ DL/LLMs knowledge is a plus.

Responsibilities

• Build and refine machine learning models powering data-driven solutions.
• Prepare raw data, engineer features, train models, evaluate performance.
• Extract actionable insights from large, complex datasets.
• Collaborate with team members across functions in a dynamic setting.

Skills

Python

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

Statistics

Feature engineering

Data preprocessing

Model training

Hyperparameter tuning

NLP basics

Git

REST APIs

Problem solving

ML fundamentals

Education

Bachelor's or Master's in CS/DS/Stats

Tools

Git

SQL

Job description

Batch: 2023/2024/2025/2026. About the role:

• You will build and refine machine learning models that power data-driven solutions
• Your day-to-day work involves preparing raw data, engineering features, training models, and evaluating their performance
• You will extract actionable insights from large and complex datasets
• You'll collaborate with team members across functions in a dynamic setting

What we're looking for:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, AI/ML, or a closely related discipline
• Solid grasp of machine learning fundamentals, statistical theory, and data science methodology
• Hands-on coding ability in Python, with practical experience using NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch
• Clear understanding of both supervised and unsupervised learning techniques and when to apply each
• Hands-on experience in data preprocessing, feature engineering, model training, performance evaluation, and hyperparameter optimization
• Strong grounding in statistics, probability theory, and quantitative data analysis
• Working knowledge of SQL and relational or non-relational database systems
• Demonstrated problem-solving ability and analytical thinking across technical challenges
• Ability to learn and adapt to new tools and frameworks in a fast-moving team
• Familiarity with version control via Git and basic REST API design principles is preferred
• Knowledge of natural language processing, deep neural networks, generative models, or large language models adds value but is not required