machine learning engineering consultant or senior consultant

**Machine Learning Engineer: Design, Develop, and Deploy AI Solutions** We are seeking a highly skilled Machine Learning Engineer to lead the design, development, and deployment of AI solutions across diverse business domains. The ideal candidate will have a strong background in machine learning, experience with large-scale datasets, and expertise in cloud computing platforms. **Key Responsibilities:** * Design and develop ML pipelines for advanced AI algorithms and ML models to solve complex business problems * Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions * Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation * Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth * Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives * Deploy, test, and optimize ML models and data pipelines in production environments * Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product **Requirements:** * Advanced degree (Master's or Ph.D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields * 5 years of experience in a similar role in a production environment * Experience working with large-scale datasets and building ETL pipelines using Spark, Kubeflow, StreamSets, etc. * Hands-on experience with cloud computing platforms such as AWS * Strong proficiency in Python and experience with NLP techniques, resources, and methodologies such as Scikit-learn, TensorFlow, PyTorch, HuggingFace, Comprehend, XGBoost, LangChain, etc. * Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc. * Experience with iterative development processes, thriving in dynamic and agile environments * Ability to own ML delivery tasks end-to-end with little to no direct support * Strong understanding of software design patterns, principles, architecture, and operations * Strong communication skills and the ability to collaborate effectively with business partners, vendors, end users, and cross-functional teams **Benefits:** * Comprehensive range of benefits designed to enhance your professional growth, well-being, and work-life balance * Paid time off, including personal days and vacation time * Leave programs for parental leave, caregiver leave, bereavement, and military leave * Company-funded pension plan and a 401(k) retirement plan * Health insurance for associates and their eligible family members * Volunteer time and a dollar-for-dollar matching gift program * Associate Resource Groups for building connections and developing meaningful relationships at work