Data and ML Engineer

As a Data Engineer / Machine Learning Engineer with GenAI Expertise, you will be an integral part of our team where you will design and implement data solutions, develop machine learning models, and leverage generative AI to solve complex business problems. **Key Responsibilities:** - **Data Engineering and Development**: - Design, build, and maintain scalable data pipelines using Apache Spark and Snowflake. - Develop ETL workflows to ingest, transform, and load structured and unstructured data into Snowflake. - Optimize queries and processes to enhance performance and minimize latency. - **Machine Learning Model Development**: - Develop, train, and deploy machine learning models for predictive analytics and decision support. - Utilize Python libraries like Scikit-learn, TensorFlow, PyTorch, and Hugging Face for model building and evaluation. - Implement advanced techniques in natural language processing (NLP), computer vision, and deep learning. - **Generative AI Implementation**: - Apply Generative AI (GenAI) models, such as GPT, DALL-E, or similar frameworks, to business use cases. - Fine-tune GenAI models to address specific requirements in text, image, or content generation tasks. - Research and implement innovations in generative AI to maintain competitive advantages. - **Collaboration and Communication**: - Work with cross-functional teams to understand data needs and ensure delivery of scalable solutions. - Communicate findings, model outcomes, and business insights to both technical and non-technical stakeholders. **Qualifications Required:** - Educational Background: Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Programming Skills: Proficient in Python, including libraries like Pandas, NumPy, and PySpark. - Big Data Expertise: Hands-on experience with Apache Spark for large-scale data processing. - Cloud Data Warehousing: Proficiency with Snowflake or equivalent data warehouse platforms. - Machine Learning: Experience in developing and deploying ML models using Scikit-learn, TensorFlow, PyTorch, or similar tools. - Generative AI: Practical experience with GPT, DALL-E, Stable Diffusion, or other generative AI frameworks. - NLP and Deep Learning: Familiarity with Hugging Face transformers, BERT, and advanced neural network architectures. - Version Control: Experience with Git or other version control systems. Why will you love working with us - We thrive to reach out to tomorrow. - We are a world class team who work together across cultures and disciplines. - Transparency and challenging projects that will let you grow and learn. - We offer to you trust, sensibility and welfare, because you are important to us.,