Data Scientist & AI Engineer

Role Overview: You are a highly skilled Data Scientist & AI Engineer who is passionate about using data, machine learning, and cutting-edge AI technologies to solve real-world problems. In this role, you will have the opportunity to work on advanced predictive modeling, Generative AI, and Natural Language Processing (NLP) projects. Collaborating with cross-functional teams, you will deliver innovative solutions that drive measurable impact through your work. Key Responsibilities: - Design, develop, and deploy predictive models and machine learning algorithms for classification, regression, and clustering. - Build and optimize Retrieval-Augmented Generation (RAG) pipelines and scalable systems using large language models (LLMs). - Fine-tune and customize LLMs to align with specific business use cases. - Explore and evaluate open-source LLMs to stay ahead of emerging AI advancements. - Apply traditional NLP techniques (e.g., BERT, text classification, sentiment analysis, NER). - Develop and maintain APIs for AI models using frameworks such as FastAPI, ensuring scalability and reliability. - Collaborate with data scientists, product managers, and engineers to integrate AI-driven features into products. - Perform data preprocessing, feature engineering, and validation for ML/AI models. - Document solutions and communicate insights clearly to both technical and business stakeholders. - Continuously improve models, pipelines, and analytics processes. Qualifications Required: - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. - 23 years of professional experience in data science, machine learning, or AI-focused roles. Additional Details: You will have the opportunity to work on cutting-edge AI projects including Generative AI and NLP, collaborating with a team that values innovation, learning, and impact. The culture fosters growth with exposure to diverse projects and technologies, while maintaining a work-life balance with a 5-day work week. Employees are treated as valuable assets, supported by seniors, and work in a positive and friendly environment. Skill learning and enhancements are encouraged to boost career prospects, with internal and external events providing opportunities to experience new things. Role Overview: You are a highly skilled Data Scientist & AI Engineer who is passionate about using data, machine learning, and cutting-edge AI technologies to solve real-world problems. In this role, you will have the opportunity to work on advanced predictive modeling, Generative AI, and Natural Language Processing (NLP) projects. Collaborating with cross-functional teams, you will deliver innovative solutions that drive measurable impact through your work. Key Responsibilities: - Design, develop, and deploy predictive models and machine learning algorithms for classification, regression, and clustering. - Build and optimize Retrieval-Augmented Generation (RAG) pipelines and scalable systems using large language models (LLMs). - Fine-tune and customize LLMs to align with specific business use cases. - Explore and evaluate open-source LLMs to stay ahead of emerging AI advancements. - Apply traditional NLP techniques (e.g., BERT, text classification, sentiment analysis, NER). - Develop and maintain APIs for AI models using frameworks such as FastAPI, ensuring scalability and reliability. - Collaborate with data scientists, product managers, and engineers to integrate AI-driven features into products. - Perform data preprocessing, feature engineering, and validation for ML/AI models. - Document solutions and communicate insights clearly to both technical and business stakeholders. - Continuously improve models, pipelines, and analytics processes. Qualifications Required: - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. - 23 years of professional experience in data science, machine learning, or AI-focused roles. Additional Details: You will have the opportunity to work on cutting-edge AI projects including Generative AI and NLP, collaborating with a team that values innovation, learning, and impact. The culture fosters growth with exposure to diverse projects and technologies, while maintaining a work-life balance with a 5-day work week. Employees are treated as valuable assets, supported by seniors, and work in a positive and friendly environment. Skill learning and enhancements are encouraged to boost career prospects, with internal and external events providing opportunities to experience new things.