Senior Artificial Intelligence/Machine Learning Developer - Google Cloud Platform

Position : Senior AI/ML Developer (GCP) Experience : 5 Yrs Shift Time : EST Shift 5:30 PM to 2:30 AM Remote Work / 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