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Machine Learning Engineer

1 month ago

Missouri Township, United States Match Point Solutions Full time
Job DescriptionJob Description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you

Machine Learning Engineer

Remote

12 Months - CTH

Rate: $45 - $50/hr on W2

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.

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.