Senior Artificial Intelligence/Machine Learning Engineer - Google Cloud Platform

Position: Senior AI/ML Developer (GCP). Experience 5 Yrs. Shift Time - EST Shift 5:30 PM to 2:30 AM. Remote / Hybrid - Full Time. Role : - We are looking for a highly skilled Senior AI/ML Developer with expertise in Google Cloud Platform (GCP) to join our dynamic team. - In this role, you will be responsible for designing, building, and deploying advanced machine learning models and AI solutions. - You will collaborate with cross-functional teams to integrate AI/ML models into our systems, ensuring scalability, reliability, and performance. Key Responsibilities : - Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML. - Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering. - Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP. - Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms. - Integrate AI/ML models into cloud applications and ensure seamless operation in production environments. - Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML. - Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business. use cases. - Perform model tuning, evaluation, and monitoring for performance and accuracy improvements. - Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning. - Ensure security, scalability, and performance of ML models deployed in production. Qualifications Required : Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related fields. Skills & Experience : - Minimum of 5 years of experience in AI/ML development with a strong focus on GCP. - Proven experience with GCP services, including Vertex AI, BigQuery ML, AI Platform, Dataflow, and Cloud Functions. - Solid experience in developing machine learning models and deploying them in production environments. - Hands-on experience with Python, Tensor Flow, Keras, Scikit-learn, and other machine learning libraries. - Familiarity with cloud architecture patterns and distributed computing. - Strong understanding of data science, statistical analysis, and deep learning techniques. Technical Skills : - Expertise in building ML pipelines on GCP. - Experience with data preprocessing, feature engineering, and model evaluation. - Proficiency in tools like Kubernetes, Docker, and experience with microservices architecture. - Knowledge of MLOps practices, version control, model versioning, and automated retraining pipelines. - Hands-on experience with GCP APIs for Natural Language Processing (NLP), Computer Vision, and other AI/ML use cases. Soft Skills : - Excellent problem-solving skills and ability to think critically in applying AI/ML to complex problems. - Strong communication skills, capable of working in cross-functional teams and explaining technical concepts to non-technical stakeholders. - Leadership experience in mentoring junior team members and driving AI/ML projects end-to-end. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/21/2024