5+ years of experience in data science and machine learning, focusing on recommendation systems and NLP.
Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) for ML development.
Experience with NLP techniques such as embeddings, transformers, topic modeling, and named entity recognition.
Hands-on experience with ML model deployment and MLOps practices using AWS SageMaker, Lambda, and Step Functions.
Proficiency in working with large-scale datasets, SQL/NoSQL databases, and data processing frameworks.
Strong knowledge of feature engineering, model evaluation, and hyperparameter tuning.
Familiarity with vector search technologies (e.g., Amazon OpenSearch).
Experience with API development for serving ML models using Flask, FastAPI, or AWS API Gateway.
Ability to work in an Agile environment and collaborate with cross-functional teams.
Excellent problem-solving and analytical skills with the ability to translate business requirements into ML solutions
Key Responsibilities:
Design, develop, and optimize ML models for expert and expertise recommendation using state-of-the-art techniques.
Implement Natural Language Processing (NLP) algorithms for entity recognition, topic modeling, and semantic search.
Develop and maintain ML pipelines for model training, evaluation, deployment, and monitoring in AWS.
Work with structured and unstructured data, performing feature engineering and data preprocessing to improve model accuracy.
Deploy and manage ML models using AWS SageMaker, Lambda, Step Functions, and API Gateway.
Collaborate with data engineers and software developers to integrate ML models into production applications.
Implement A/B testing and model performance evaluation metrics to ensure optimal model effectiveness.
Optimize ML models for scalability, performance, and cost-efficiency in a cloud environment.
Ensure ML solutions adhere to security, privacy, and compliance best practices.
Stay up to date with emerging trends in ML, AI, and data science, continuously improving models and methodologies
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full time