Specialist, Data Science

Job Description

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to play a critical role in the development and scaling of our cutting-edge AI solutions. In this position, you will be a key contributor in driving innovation and ensuring the quality and scalability of our products for a diverse client base. You will leverage your expertise in NLP, Generative AI, and Machine Learning to design, build, and deploy sophisticated models and systems. This is an excellent opportunity to take ownership and make a significant impact on the future of our technology. Key Responsibilities: Design and Development: Lead the design, development, and deployment of advanced machine learning models and algorithms, with a focus on NLP and Generative AI. Build robust and scalable data pipelines to support model training and inference. Optimize model performance, accuracy, and efficiency. Cloud and Containerization: Utilize Google Cloud Platform (GCP) services for building and deploying machine learning solutions. Employ containerization technologies (e.g., Docker, Kubernetes) to ensure application portability and scalability. Collaboration and Mentorship: Collaborate effectively with cross-functional teams, including product managers, engineers, and researchers. Provide technical guidance and mentorship to junior team members. Contribute to the development and maintenance of technical documentation. Innovation and Research: Stay current with the latest advancements in NLP, Generative AI, and Machine Learning. Explore and evaluate new technologies and techniques to enhance existing solutions. Project Management: Manage multiple workflows and projects, ensuring timely delivery and high-quality output. Contribute to the planning and execution of projects, from conception to deployment. Qualifications: Education: Bachelors or Masters degree in Computer Science, Data Science, or a related field. Experience: 4 + years of experience in developing and deploying machine learning models in a production environment. Technical Skills: Strong understanding of NLP, Generative AI, and Machine Learning algorithms. Proficiency in Python programming and relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch). Hands-on experience with GCP services and containerization technologies (e.g., Docker, Kubernetes). Soft Skills: Excellent communication, interpersonal, and collaboration skills. Strong problem-solving and analytical abilities. Preferred Skills: Experience with Flask/Django or a strong willingness to learn and build React-based solutions. Data engineering skills and experience with API integration. Database management experience. Basic SEO knowledge (keyword research, optimization).