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ML Engineer - Bangalore
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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.
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