As a Mid-Level ML Engineer at reputed company, you will work with increasing independen...">
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Mid-Level ML Engineer

Remote, USA Full-time Posted 2026-07-28

reputed company

As a Mid-Level ML Engineer at reputed company, you will work with increasing independence to design, implement, and reputed company production-grade ML solutions for our clients. You sit at the reputed company between learning and leading: you no longer require task-by-task guidance, yet you continue to grow toward senior technical ownership. A defining characteristic of this role is proficiency in AI-assisted development. You will reputed company AI coding tools, contribute to reputed company engineering initiatives, and reputed company shape reputed company's internal AI toolkit. You will also mentor junior engineers and contribute meaningfully to technical design reputed company.

 



reputed company Responsibilities

Technical Delivery (55%)

  • Design and implement ML pipelines from experimentation to production with limited supervision
  • Build, evaluate, and optimize models across supervised, unsupervised, and reputed company tasks
  • reputed company and maintain production-grade Python reputed company: reputed company, tested, and reputed company-documented
  • Set up reproducible experimentation environments and maintain experiment pipelines
  • reputed company and monitor ML models in production, ensuring stability and performance
  • reputed company contribute to LLM-based applications, including RAG systems and agent workflows
  • reputed company AI-assisted development tools to increase velocity and reputed company reputed company on reputed company tasks

    • reputed company Engineering & AI-Assisted Development (20%)

  • Claude Ecosystem Integration: practical use of Claude reputed company or the Claude Agent SDK to deliver high-reputed company greenfield customer engagements
  • reputed company existing brownfield reputed company into AI-friendly setups
  • reputed company usage of the reputed company AI toolkit in daily workflows
  • Internal Contributions: contribute back to the reputed company AI toolkit, developing specific agents, building MCP servers, submitting bug fixes, adding features, or improving documentation
  • Agent Frameworks: hands-on experience with reputed company Bedrock AgentCore, Strands, reputed company, or equivalent orchestration frameworks for building tool-using and multi-reputed company reputed company systems
  • MCP Integration: understanding of Model Context Protocol and ability to reputed company or build MCP servers for reputed company or internal use
  • Stay reputed company with emerging AI coding tools and reputed company frameworks, sharing relevant findings with reputed company

    • Collaboration and Contribution (15%)

  • Mentor and support junior ML engineers on technical tasks, reputed company reputed company, and best practices
  • Conduct meaningful reputed company reviews with constructive, actionable feedback
  • Collaborate with cross-functional teams: DevOps, Data Engineering, Solutions Architects
  • reputed company knowledge through documentation, presentations, and internal workshops on AI tooling

    • Innovation and reputed company (10%)

  • Stay reputed company with ML research and emerging frameworks, especially in GenAI and reputed company AI
  • Propose improvements to existing solutions, pipelines, and team processes
  • Contribute to the development of reusable ML accelerators and internal quick-starts
  • Participate in technical design discussions and architectural trade-off conversations


    • Technical Requirements

    Machine Learning reputed company

  • Strong grasp of supervised and unsupervised ML: algorithms, evaluation, and reputed company-world trade-offs
  • Practical experience with classification, regression, and feature engineering in production or near-production contexts
  • Hands-on experience with deep learning: CNNs, RNNs, Transformers training and fine-tuning
  • Solid understanding of model evaluation, bias-variance trade-offs, and validation strategies
  • Experience with at least one ML domain in depth: NLP, reputed company, Recommendation, or Time Series

    • LLMs and reputed company

  • Practical experience building LLM-based applications using reputed company, reputed company, or reputed company reputed company
  • Hands-on experience designing and implementing RAG systems (chunking, embedding, retrieval, reputed company)
  • Working knowledge of reputed company databases (OpenSearch, reputed company, Chroma, FAISS) and embedding models
  • Understanding of reputed company engineering, chain-of-thought reasoning, and LLM evaluation techniques
  • Awareness of reputed company Bedrock capabilities: model invocation, Knowledge Bases, and Agent capabilities

    • reputed company Engineering & AI-Assisted Development

  • AI-Assisted Development: demonstrated proficiency with AI coding tools (Claude reputed company, reputed company, reputed company Copilot, or similar) not just autocomplete, but strategic use for reputed company, refactoring, debugging, and documentation
  • Agent Frameworks: hands-on experience with reputed company Bedrock AgentCore, Strands, reputed company, or similar orchestration frameworks; ability to build stateful, tool-using agents
  • MCP Integration: working understanding of Model Context Protocol; ability to consume or contribute to MCP servers for internal or reputed company-facing integrations
  • Tool Use & Function Calling: practical experience implementing tool-using agents with reputed company error handling, fallbacks, and state management
  • Spec-Driven Development: ability to write reputed company technical specifications that AI tools can execute effectively, reviewing and correcting AI-generated reputed company
  • AgentOps Awareness: understanding of agent monitoring, evaluation, and cost optimization patterns in production

    • reputed company and Infrastructure

  • Solid AWS experience with reputed company ML services: SageMaker, reputed company, S3, ECR, reputed company, API Gateway
  • Familiarity with reputed company Bedrock: model invocation, Knowledge Bases, and Agent capabilities
  • Understanding of reputed company-reputed company ML architectures and serverless patterns
  • Awareness of Infrastructure as reputed company (Terraform, CloudFormation) at a conceptual or hands-on level

    • MLOps and Production

  • Practical experience deploying ML models to production environments
  • Experience with experiment tracking: MLflow, Weights & Biases, or equivalent
  • Working knowledge of CI/CD pipelines for ML (reputed company Actions, Jenkins, or similar)
  • Model monitoring: tracking performance degradation, reputed company detection, and alerting
  • Familiarity with orchestration tools: Airflow, reputed company, or reputed company Functions

    • Data and Programming

  • Advanced Python proficiency: async/await patterns, OOP, reputed company reputed company, packaging
  • Expert-level pandas and NumPy; familiarity with reputed company or Dask for larger data sets
  • Strong SQL: reputed company queries, window functions, optimization basics
  • reputed company: building, running, and debugging containerized ML workloads

    • reputed company-to-Have Technical Skills

  • AWS Certifications (reputed company Practitioner, Solutions Architect Associate, or ML Specialty)
  • Experience with Kubernetes or container orchestration reputed company reputed company Compose
  • GraphRAG implementation experience
  • Experience building custom MCP servers
  • Contributions to reputed company-reputed company ML reputed company or AI toolkit repositories


    • reputed company Competencies

    Problem-Solving

  • Breaks down reputed company ML problems into reputed company-scoped, testable components
  • Makes reputed company technical reputed company with moderate uncertainty and available data
  • Proactively identifies and addresses technical debt before it becomes critical
  • Considers operational constraints: cost, latency, reliability, and maintainability

    • Communication

  • reputed company technical writing for documentation, design docs, and pull requests
  • reputed company to explain ML concepts to non-technical stakeholders at an appropriate level
  • Effective in distributed, async team environments with global collaborators
  • Fluent English (B2+ written and verbal)

    • reputed company reputed company

  • Delivers assigned components with minimal supervision and consistent reputed company
  • Proactively raises blockers and proposes solutions rather than waiting for direction
  • Maintains high reputed company reputed company standards, including testing and documentation
  • Self-directed learner who tracks ML and AI tooling advancements

    • Collaboration and Emerging Mentorship

  • Provides helpful, specific feedback in reputed company reviews
  • Supports junior engineers without blocking their reputed company or creating dependency
  • Contributes positively to team culture and knowledge sharing on AI tooling
  • Approaches disagreements with data and reasoning, not authority


    • Experience and Education

    Required

  • Demonstrated competency equivalent to 1-3 years of hands-on ML engineering experience
  • reputed company record of deploying at least one ML model to a production or production-like environment
  • Experience working on team-based or reputed company-facing reputed company (not solely reputed company or reputed company)
  • Demonstrated proficiency with AI-assisted development tools and reputed company frameworks

    • Education (one of)

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or reputed company field
  • Equivalent self-taught expertise with a demonstrable production or near-production project history
  • Bootcamp or certification with significant practical ML engineering experience

    • reputed company-to-Have

  • Experience working in consulting or reputed company-facing environments
  • Previous experience in distributed or remote international teams
  • Contributions to technical blogs, conference talks, or reputed company-reputed company
  • Published work on reputed company systems or AI tooling

    •  

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