ML & AI Data Scientist

Lightrains Technolabs; Thiruvananthapuram; On-site; INR 900,000 - 1,800,000; Full time

Benefits offered by this job

5 Days Working

Flexible Timings

Access to GPU compute and research资源

Job summary

Lightrains Technolabs in India is seeking a data scientist who can bridge the gap between business problems and machine learning solutions. You will work across product teams to identify opportunities, build predictive models, and drive data-informed decisions.

As a subject matter expert, you will shape analytics strategy, evaluate modeling techniques, and mentor junior team members while contributing to a hands-on ML stack.

Qualifications

• Convert complex business problems into well-defined ML tasks with measurable success criteria.

Responsibilities

• Bridge business problems and ML solutions across product teams.

Skills

Python

ML data stack

Pandas

NumPy

scikit-learn

XGBoost

PyTorch

TensorFlow

Keras

SQL

MLOps

Tools

CI/CD for ML

Experiment tracking

Large-scale data processing

ML model deployment

Job description

We are looking for a Data Scientist who can bridge the gap between business problems and machine learning solutions. You will work across product teams to identify opportunities, build predictive models, and drive data-informed decisions. As a subject matter expert, you will help shape our analytics strategy and mentor junior team members.

Requirements

• Convert complex business problems into well-defined ML tasks with measurable success criteria
• Design, develop, and deploy machine learning models — from regression and classification to deep learning and time-series forecasting
• Analyze data from multiple disparate sources, ensuring integrity, accuracy, and relevance
• Present findings and actionable recommendations to stakeholders across the organization
• Influence product roadmaps by identifying data-driven opportunities and risks
• Stay current with ML research and evaluate new modeling techniques for business application

Technical Skills

• Proficiency in Python and the standard ML data stack (pandas, NumPy, scikit-learn, XGBoost)
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
• Strong SQL skills and experience working with large-scale datasets
• Familiarity with MLOps practices — experiment tracking, model versioning, and CI/CD for ML
• Understanding of statistical methods, hypothesis testing, and experimental design

Perks and Benefits

• 5 Days Working
• Flexible Timings
• Access to GPU compute and research resources