Junior Machine Learning Engineer

Overview Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling.What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute, Machine Learning Research Engineer (Foundational Research) Join a cutting-edge research team at Thomson Reuters to help deliver the transformation promises of modern AI. You will design, build, and experiment with large language models (LLMs) in an academic environment..., Machine Learning Research Engineer (Foundational Research) Qualifications, skills, and all relevant experience needed for this role can be found in the full description below. Join a cutting-edge research team at Thomson Reuters to help deliver the transformation promises...

innovative ideas and initiatives to our company. As a Lead Data Scientist you will:Become a trusted advisor working with clients to design end-to-end analytical solutionsWork independently to solve complex data science use-cases across various industriesDesign and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insightsWrite code in SQL, Python, and Spark following software engineering best practicesCollaborate with stakeholders and customers to ensure successful project deliveryWho we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits:Degree in Computer Science, Engineering, Mathematics, or equivalent experience.Experience with building high quality Data Science models to solve a client's business problemsExperience with managing stakeholders and collaborating with customersStrong written and verbal communication skills requiredAbility to manage an individual workstream independently3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.)Ability to apply data science methodologies and principles to real life projectsExpertise in software engineering concepts and best practicesSelf-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or peopleWillingness to travelWant to stand out? Consulting ExperienceDatabricks Machine Learning Associate or Machine Learning Professional CertificationFamiliarity with traditional machine learning tools such as Python, SKLearn, XGBoost, Spark ML, etcExperience with deep learning frameworks like Tensor Flow or Py TorchKnowledge of ML model deployment options (e.g., Azure Functions, Fast API, Kubernetes) for real-time and batch processing.Experience with CI/CD pipelines (e.g., Dev Ops pipelines, Git Hub Actions)Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset BundlesUnderstanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modelingExperience with generative AI and LLMs, such as LLama Index and Lang ChainUnderstanding of MLOps or LLMOpsFamiliarity with Agile methodologies, preferably ScrumWe are actively seeking candidates for full-time, remote work within the US, UK or Colombia.#J-18808-Ljbffr Similar jobs

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