Jobs via Dice ยท 5 hours ago
Senior Software Engineer - Python / ML
United States
Full-time
Remote
Mid, Senior Level
3+ years expDice is the leading career destination for tech experts at every stage of their careers. Our client, The Search Solutions, LLC, is seeking a Senior Software Engineer to support business operations by building, deploying, and maintaining backend solutions and productionizing machine learning models.
Computer Software
No H1B
U.S. Citizen Only
Responsibilities
Design, develop, debug, and deploy scalable and efficient backend and ML pipeline code
Collaborate with Data Science to productionize ML models, focusing on optimization (e.g., making them faster and smaller), enhancing deployability, and building robust testing frameworks
Perform ad hoc analysis and troubleshooting to resolve issues with deployed systems and ML models
Write code as part of a collaborative team, building backend features and machine learning services that play a critical role in our day-to-day operations
Design, implement, and maintain robust MLOPS and AIOps practices and infrastructure
Develop and implement AI Engineering solutions, including prompt engineering, designing Generative AI workflows, using RAG-enabled LLM calls, and implementing evaluation metrics and confidence scores from LLM outputs
Manage, define, and break down tasks in an agile environment
Mentor other team members
Implement with some autonomy & architect solutions in collaboration with engineering leadership
Own the problem and scope solutions that line up with business objectives
Provide a rapid response to the needs of the team
Qualification
Required
Three to five years experience with Python, Django, or similar web frameworks
Deep experience with core ML concepts, algorithms, and libraries (scikit-learn, Tensorflow, etc.)
Experience with techniques for model optimization and deployment (e.g., pre and post-processing, model pruning, quantization) to enhance performance and deployability
Familiarity with data preparation, feature engineering, and data pipeline tools
Familiarity with Generative AI concepts, LLMs, and prompt engineering techniques
Experience in building and evaluating RAG-enabled workflows and implementing confidence scoring for AI systems
Familiarity with Google Cloud Platform or other cloud providers for deploying scalable services and ML workload in a production environment
Demonstrated ability to troubleshoot, problem solve, test, and develop solutions independently
Ownership mindset and capable of self-managing tasks, scope, and priorities
Focused on providing our customers with world-class products and services
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase