Machine Learning Engineer

What We Do

Labra is a leading software product company building cloud-native B2B SaaS solutions to help customers in their cloud transformation journey. We work on cutting-edge AI/ML, Generative AI, and cloud technologies and want passionate individuals who can turn data into actionable intelligence and suggest AI-driven solutions.

About the Job We are looking for a Data Scientist with 4+ years of experience who can analyze data, build ML models, provide actionable insights, and leverage Generative AI for business and product innovation.

Work Location In-office – Bengaluru

Responsibilities

• Solve business-critical problems using classical machine learning and statistical modeling techniques.
• Deliver high-quality, production-ready ML systems and infrastructure, from experimentation through deployment and monitoring.
• Analyze structured and unstructured data to uncover patterns, trends, and opportunities.
• Develop ML models for prediction, classification, recommendation, forecasting, and optimization.
• Build and optimize models including:
• Regression models
• Logistic regression and classification systems
• Gradient boosting models (XGBoost, LightGBM)
• Recommendation systems
• Propensity modeling solutions
• Risk scoring and risk modeling frameworks
• Perform exploratory data analysis (EDA), feature engineering, and data preprocessing.
• Evaluate model performance using appropriate statistical metrics and validation techniques.
• Collaborate with product and engineering teams to integrate ML pipelines and models into production systems.
• Design scalable training and inference workflows.
• Continuously improve model accuracy, efficiency, and reliability through experimentation and tuning.
• Adopt best practices in the ML development lifecycle (data versioning, model evaluation, monitoring, retraining).
• Document analyses, models, pipelines, and recommendations clearly.
• Research and recommend improvements in ML methodologies and modeling approaches.

RequirementsTechnical Skills:

• Strong proficiency in Python and ML libraries (scikit-learn, XGBoost, LightGBM).
• Strong understanding of machine learning algorithms including regression, classification, and ensemble methods.
• Experience building predictive models, recommendation systems, propensity models, and risk models.
• Knowledge of data manipulation and analysis tools (Pandas, NumPy, SQL).
• Strong experience in exploratory data analysis (EDA) and feature engineering.
• Experience deploying ML solutions on cloud platforms (AWS, GCP, or Azure).
• Understanding of model evaluation, validation techniques, and performance optimization.
• Ability to recommend suitable modeling approaches for business problems.
• Strong analytical thinking and problem-solving ability.

Why Join Us?

• Skill Growth: Work on AI/ML, Generative AI, and modern NLP projects using tools like LangChain.
• Learning Culture: Collaborate with intelligent colleagues and learn continuously.
• Real Impact: Develop models and AI solutions that directly improve business outcomes.
• Autonomy: Drive your work independently and propose AI/ML strategies.
• Work-Life Balance: Paid leave, insurance, and flexible environment.

Job Types: Full-time, Permanent

Pay: ₹2,000,000.00 - ₹2,500,000.00 per year

Benefits

• Health insurance
• Life insurance

Work Location: In person