Job summary
Job post source
This job is directly from Grant Street Group
Job overview
The AI and Machine Learning Engineer at Grant Street Group develops and implements AI and machine learning solutions to automate processes and improve enterprise workflows within the company.
Responsibilities and impact
The role involves designing and deploying ML-driven systems for decision-making, document processing, and data workflows, collaborating with product, engineering, and operations teams to integrate AI solutions into business processes.
Compensation and benefits
The expected salary range is $100,000 to $250,000, with minimal travel and a focus on teamwork, professional excellence, and individual responsibility; specific benefits are not detailed.
Experience and skills
Candidates should have experience with Python, AI/ML frameworks like TensorFlow or PyTorch, NLP, data integration, process automation, SQL, and collaboration skills; additional helpful skills include data warehousing, BI software, UI development, Golang, C++, Java, Rust, event queues, MLOps, cloud platforms, and Linux.
Career development
Grant Street Group offers a growth-oriented environment with opportunities to work on innovative AI and machine learning projects alongside talented professionals, fostering professional excellence and entrepreneurial spirit.
Work environment and culture
The company values teamwork, professional excellence, individual responsibility, and entrepreneurial spirit, with minimal travel and a remote work setup.
Company information
Grant Street Group is a growing software company providing SaaS applications for tax collection, electronic payments, bond auctions, and related services.
Team overview
The candidate will join the Data Analytics team, working closely with product, engineering, and operations teams to deliver AI solutions.
Job location and travel
This is a remote position with minimal travel required, about 1-2 weeks per year for on-site meetings.
Application process
Applicants are encouraged to apply directly to Grant Street Group; no specific application steps or deadlines are provided.
Unique job features
The role uniquely combines machine learning, software engineering, and process automation to build intelligent systems that both think and act, using advanced tools like Databricks, Spark, and custom loss functions.
Company overview
Grant Street Group is a software development firm specializing in cloud-based solutions for government and financial institutions. They generate revenue by providing software-as-a-service (SaaS) platforms for tax collection, electronic payments, and auctions of financial instruments. Founded in 1997, the company gained prominence by hosting the world's first online bond auction for the City of Pittsburgh. Their innovative approach and continued focus on technology-driven solutions have established them as a leader in the public finance sector.
How to land this job
Position your resume to highlight strong expertise in Python programming, especially with libraries like pandas, NumPy, and scikit-learn, as well as AI/ML frameworks such as TensorFlow or PyTorch, to align with Grant Street Group's technical requirements.
Emphasize experience in developing Intelligent Process Automation solutions, working with data pipelines, and integrating AI into enterprise workflows, showcasing your ability to collaborate across product, engineering, and operations teams.
Apply through multiple channels including Grant Street Group's official corporate website and LinkedIn to maximize your visibility and chances of being noticed for the AI and Machine Learning Engineer role.
Connect with current employees in the Data Analytics or AI teams at Grant Street Group on LinkedIn, using ice breakers like referencing recent AI projects they’ve shared or expressing enthusiasm about the company’s innovative approach to Intelligent Process Automation.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Python,' 'machine learning,' 'TensorFlow,' 'process automation,' 'data integration,' and 'MLflow' to ensure it passes automated screenings effectively.
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