Job Description

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 a mix of classical ML, deep learning, and generative AI. 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, recommendation, classification, or optimization. Build Generative AI solutions (text, code, or content generation) using models like GPT and tools like LangChain. Collaborate with product, science, and engineering teams to execute on the technical vision and roadmap for Applied AI initiatives. Collaborate with engineers to integrate models, pipelines, or AI agents into production. Perform feature engineering, data cleaning, and exploratory data analysis. Evaluate model performance and continuously improve accuracy, efficiency, and relevance. Adopt best practices in ML development lifecycle (e.g., data versioning, model training, evaluation, monitoring, responsible AI). Document analyses, models, pipelines, and recommendations clearly. Research and suggest emerging ML and GenAI technologies for adoption.

Requirements:

Experience: 4+ years in data science, AI/ML, or related roles. Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch). Experience in modern deep learning architectures and probabilistic models. Experience in Generative AI, LLMs, prompt engineering, or AI agents. Familiarity with LangChain or similar frameworks for AI orchestration and automation. Knowledge of data manipulation and analysis tools (Pandas, NumPy, SQL). Experience with cloud platforms (AWS, GCP, Azure) and deploying AI/ML solutions. Understanding of AI/ML algorithms and ability to recommend suitable modeling approaches for business problems. Strong analytical thinking and problem-solving ability. Machine Learning, Computer Science, Statistics, or a related field with research or applied focus on large-scale ML systems. Effective communication skills to explain insights and AI recommendations to non-technical stakeholders. Curious, proactive, and eager to explore emerging AI technologies. Prior experience working with generative AI (e.g., LLMs, diffusion models) and integrating such technologies into end-user products.

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.