Machine Learning Engineer
Machine Learning Engineer
Remote
12 Months
Pay rate: $50 - $55/hr
Senior Data/ML Engineer is responsible for solution engineering of enterprise scale data management best practices. This includes patterns such as - modern data integration frameworks, building of scalable distributed systems using emerging cloud-based data design patterns. This role will be responsible for developing data integration tasks in the data and analytics space. This position will report to Sr. Director of Data Management & Analytics group under Data Operations organization. This is an individual performer role.
Key Job Functions
• Demonstrate expert ability in implementing data warehouse solutions using Snowflake.
• Building data integration solutions between transaction systems and analytics platform.
• Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs.
• Create security policies in Snowflake to manage fine grained access control
• Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting.
• Lead POC efforts to build foundational AI/ML services for Predictive Analytics.
• Building of data products by data enrichment and ML.
• Be a team player and share knowledge with the existing team members.
Qualifications:
Education
• Bachelor’s degree in computer science or a related field
Minimum Experience
• Minimum of 6-8 years of experience in building data driven solutions.
• Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. CSS does not offer H-1B sponsorship for this position.
Specialized Knowledge & Skills
• Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools.
• Strong scripting experience using Python and SQL
• Working knowledge of foundational AWS compute, storage, networking and IAM.
• Solid scripting experience in AWS using lambda functions. Good to have knowledge of CloudFormation template. Overall experience with AWS services should be over three years.
• Hands on experience with popular cloud-based data warehouse platforms, viz. Redshift, Snowflake.
• Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services
• Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc.
• Experience with AWS SageMaker family of services or similar tools to develop machine learning models.
• Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus
• Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables.
• Strong communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts.
• Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions.
• Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions.
• Experience with one or more data integration tools viz. Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc.
• Strong understanding of data security – authorization, authentication, encryption, and network security.
• Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & follow-up for action items.
• Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.