Machine Learning Engineer

Summary

We are looking for an expert machine learning and data science engineer who can provide the Client services to data scientists, create AI solutions, scale up the Client models, manage the Client Ops, and perform needed governance tasks around deployed models.

Responsibilities:

Provide Client services to data scientists, such as data preparation, feature engineering, model selection, optimization, deployment, and monitoring. Work closely with product SMEs, data scientists, and other stakeholders to understand the business requirements, use cases, and objectives of AI and Client initiatives. Design, develop, and deploy end-to-end AI and Client solutions using AWS services, Dataiku, Python, and other relevant technologies. Enable new features and capabilities of products into our AI and Client ecosystems, ensuring scalability, reliability, security, and performance. Scale up the Client models to handle large volumes of data and requests, using Dataiku and AWS services such as S3, EC2, Lambda, SageMaker, etc. Provide technical guidance and support to data scientists and other AI and Client users, facilitating knowledge sharing and collaboration. Manage the Client Ops, such as version control, testing, continuous integration, continuous delivery, continuous monitoring, troubleshooting of deployed Client models and pipelines. Learn and implement new relevant tools and use cases, such as Dataiku features, AWS AI services, Client frameworks, libraries, APIs, Azure AI stack etc. Create the complete solution, from data ingestion to user interface, using full stack development skills and experience of visualization/UX/UI. Communicate and collaborate effectively with stakeholders, such as business users, data scientists, developers, testers, etc.

Qualifications:

Bachelor's degree or higher in computer science, engineering, mathematics, statistics, or related field. At least 5 years of experience in machine learning and data science, with proven track record of delivering successful AI solutions. Expert level skill in Dataiku. Expert level skill in AWS services, such as S3, EC2, Lambda, Sage Maker, etc. Proficient in Python, R, SQL, and other programming languages for data analysis and Client development. Familiar with Client frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, etc. Knowledgeable in Client concepts, techniques, and algorithms, such as supervised learning, unsupervised learning, deep learning, etc.

Compensation:

The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).

Benefits and Ancillaries:

Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee. #J-18808-Ljbffr