Senior Machine Learning Scientist

4 days ago

madurai, India beBeeai Full time

AI Development ExpertWe seek a highly skilled AI Development Expert to craft, deploy and refine sophisticated machine learning models and AI solutions. The ideal candidate will have an in-depth understanding of algorithms, data processing, model optimization and production-grade ML pipelines.Main ResponsibilitiesModel Design & DevelopmentCraft, train and test advanced machine learning models (supervised, unsupervised, NLP, deep learning).Develop predictive models and algorithms to address business challenges.Optimize models for accuracy, performance and scalability.Data Engineering & ProcessingCollaborate with large datasets: cleaning, preprocessing, transforming and feature engineering.Work with data engineers to improve data quality and pipeline efficiency.Built reliable data ingestion processes.Ai System DeploymentDeploy machine learning models into production environments.Build and maintain end-to-end ML pipelines (MLOps).Monitor model performance, retrain models and manage lifecycle updates.Research & InnovationStay updated with the latest trends in AI, deep learning, LLMs and automation.Experiment with new frameworks, architectures and techniques.Conduct PoCs (Proof of Concepts) for emerging AI-driven solutions.Cross-Team CollaborationWork with product, tech and business teams to define AI requirements.Communicate findings and insights through reports, dashboards and visualizations.Integrate AI models with existing software applications or platforms.Required Skills & QualificationsTechnical SkillsStrong knowledge of ML algorithms, deep learning architectures and NLP techniques.Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).Experience with data tools (Pandas, NumPy, SQL, Spark).Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, CI/CD).Understanding of LLMs, vector databases, embeddings and generative AI tools (optional but a huge plus).PREFERRED QUALIFICATIONSExperience with Reinforcement Learning, Transformers or advanced Deep Learning.Knowledge of LLM fine-tuning, RAG systems or AI automation workflows.

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