Solid understanding of min 7 years data science and machine learning and deep learning foundations is REQUIRED. Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams.

Experience with Big data technologies such as AWS EMR, Spark, Machine Learning (AWS SageMaker) and one or more cloud environments (AWS, Google and Azure) Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.

Understanding of cloud platforms: Amazon Web Services/AWS, Azure, Google Cloud Platform/GCP (including their AI/Machine Learning services). Deloitte Technology US is seeking an AI & Analytics Product Manager who will blend their product management expertise with a deep understanding of data, artificial intelligence, and machine learning.

Experience with a modern Infrastructure as Code framework like Terraform, AWS Cloud Formation, AWS CDK, Pulumi, etc. Softrams is one of the fastest growing digital services firms in the Washington Metropolitan regions crafting human-centered solutions and empowering digital services with a focus on HX, AI, cloud, DevOps and cyber security.

This role requires a visionary leader with a deep understanding of data science, machine learning, business intelligence and artificial intelligence to drive innovation and competitive advantage.

Strong candidates will possess robust software engineering and architectural knowledge for building AWS Cloud-based solutions. Demonstrate clear proficiency in architecture (web app, microservices based APIs, data stores) and designing solutions using modern, scalable and opensource based solutions.

Strong expertise in machine learning, statistical modeling, and data mining techniques. Proficiency in programming languages such as Python, R, and SQL, as well as experience with big data platforms (Databricks, BigQuery etc.

See the “big picture” of an enterprise, connected systems, interfaces, and downstream impacts when designing technical solutions. 5 or more years of experience working with NoSQL data stores like MongoDB, DocumentDB, DynamoDB or similar.

Understanding and working with complex data and business processes to modernize legacy systems to improve the user experience. Promote active learning, embracing change, and mentoring others in an organization.

Knowledge of machine learning algorithms, data mining techniques, statistical modeling, and other relevant technologies. Familiarity with big data technologies (e.g. Hadoop, Spark, Hive, etc.

Proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and Client solutions.

Manager, Data Science - Product Manager Data Science - AI/ML. Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.

Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud.

Ability to analyze data, extract insights, and translate them into actionable strategies. 6+ years working in an Information Technology field supporting Data Analytics/Engineering. This is an opportunity for an individual who would like to act as the bridge between our data scientists and Deloitte business stakeholders.

We are looking for a Data Engineer to join our machine learning and data science team. Familiarity with AWS or Google Cloud big data products.