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Position Type: [Contract]
We are looking for a collaborative, hands-on Senior Machine Learning Engineer to join our product team. In this role, you will contribute to the software design, algorithm design, and overall product lifecycle for innovative, user-centric AI solutions.
Our engineering process is highly collaborative and agile. You will pair daily with cross-functional team members, review code based on best practices, and build scalable machine learning systems that drive real business value. If you thrive in a fast-paced, innovative environment and have a passion for production-grade GenAI, cloud-native architecture, and modern MLOps, we want to hear from you.
Collaborate and pair daily with product team members (UX, engineering, and product management) to design and build secure, reliable, scalable machine learning solutions.
Architect and implement cutting-edge AI/ML algorithms, Agentic AI applications, and Retrieval-Augmented Generation (RAG) workflows.
Design and develop enterprise knowledge layers utilizing knowledge graphs, semantic search, and vector databases.
Write clean, maintainable code and automated scripts for infrastructure, monitoring services, and test cases, including "destructive testing" to ensure production resiliency.
Create meaningful dashboards, logging, and alerting systems to proactively track and address issues.
Document and review code to ensure adherence to high quality, security, and change control standards.
Provide robust application support for software running in production, monitoring Service Level Objectives (SLOs) and prediction quality.
Proactively evaluate the performance and capacity of production code, infrastructure, data pipelines, and message processing.
Field technical questions from product and support teams while driving cross-team collaboration.
Participate actively in communities of practice around modern software design, machine learning, and core development practices.
Proactively explore new technologies, frameworks, and industry best practices.
Experience: 5+ years of professional experience in Machine Learning Engineering, AI Engineering, Software Engineering, or a related field, with a proven track record of deploying production-grade AI solutions.
GenAI & LLMs: Hands-on experience building Agentic AI applications, LLM-powered solutions, RAG systems, and intelligent automation workflows.
Data & Knowledge Layers: Strong experience with knowledge graphs, graph engineering, network analysis, semantic search, and combining structured/unstructured data.
Core Languages & Frameworks: Proficiency in Python and modern AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn, Pandas).
Cloud & MLOps: Experience with cloud-native AI/ML platforms, preferably Google Cloud Platform (Vertex AI, BigQuery, BigQuery ML), containerization, and vector databases.
Software Engineering Best Practices: Solid understanding of CI/CD, version control, automated testing, security, and performance optimization across large-scale data systems (SQL, NoSQL).
Education: Minimum high school diploma and/or GED (relevant technical degree preferred).
Global Perspective & Managing Ambiguity
Nimble Learning & Self-Development
Strong Collaboration & Interpersonal Savvy
Communicates Effectively
Cultivates Innovation & Drives Results
Situational Adaptability
Our company was established with primary goal to deliver quality and cost effective IT consultancy and support to everyone who requires them.
Learn Beyond Consulting is a global consulting powerhouse. We are a team of high-skilled professionals who care about the level of information technology integration in modern business. As a team collectively We have more than 50 years of experience in IT industry..
We achieved our success because of how successfully we integrate with our clients. One complaint many people have about consultants is that they can be disruptive. Employees fear outside consultants coming in and destroying the workflow. Our clients face no such issues.
We believe in partnering, through close association with our clients to first understand and define what is truly needed, and then jointly work to create complete, customized business solutions tailored to their unique requirements.
Our methodology includes a very advanced approach to performance management ensuring the desired results are defined in clear measurable terms.
Our Vision is To provide Continuous Value Addition to our Clients by leveraging the Latest and most Innovative Technologies by Delivering Excellent Business Solutions.
We understand that each client has his own unique needs, definition of value, which must be sustained over a period of time as conditions and priorities change
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