Tech Lead AI/ML Engineer

Reposted Yesterday
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Athens
75K-140K
Senior level
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role
Lead AI/ML initiatives, design ML systems, and mentor junior engineers, ensuring best practices while collaborating with cross-functional teams to align AI solutions with business objectives.
Summary Generated by Built In

What We Do: AI Service Management (AISM):

Aisera offers the world's first AI-driven service experience solution that automates operations and support for IT, Sales and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users. Aisera fast tracks the digital transformation journey with user and service behavioral intelligence that drives end-to-end automation of tasks, actions, and business processes. Aisera is a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow and Salesforce.

Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies.

The Role: 

Lead AI/ML research and development initiatives while growing as a software engineer. Drive machine learning innovation with strong research acumen while building production-ready ML systems. Partner with AI Systems Tech Lead for technical mentorship and system integration.

Key Responsibilities:

  • Lead ML research, experimentation, and development from concept to deployment
  • Design and implement novel ML/AI approaches, staying current with cutting-edge research and methodologies
  • Architect ML pipelines, training infrastructure, and model evaluation frameworks
  • Guide ML engineering decisions including model selection, feature engineering, and optimization strategies
  • Translate academic insights into practical applications
  • Mentor junior ML engineers and establish ML best practices across the team
  • Work closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to production
  • Enforce data governance and privacy: Follow processes and implement methods that ensure data governance, privacy, and security. 
  • Collaborate with cross-functional teams: Work closely with product managers, and other stakeholders to ensure the AI/ML solutions align with the organization's goals and objectives.
  • Communicate effectively: Clearly document your work and effectively communicate your findings, insights, and recommendations to both technical and non-technical stakeholders, fostering a collaborative and informed environment.

Required Expertise:

  • 5+ years in ML engineering with demonstrated advanced development or research capabilities (innovative projects, publications, theses)
  • Advanced degree in AI/ML or related subjects with relevant undergraduate degree
  • Deep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologies
  • Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
  • Experience with ML experiment tracking, model versioning, and reproducible research practices
  • Ability to translate research papers into working implementations
  • At least a year of leadership experience driving technical ML initiatives for a small team
  • Solid foundation in software development practices (testing, version control, code review)

Growth Opportunities:

  • Opportunity to lead both research direction and technical implementation
  • Direct involvement in productionizing cutting-edge ML research
  • Accelerated software engineering development 

Preferred (in order):

  • Background in NLP 
  • Experience with distributed training, MLOps, and cloud ML platforms
  • Track record of research publications or open-source ML contributions
  • Enterprise SaaS experience 

This role is in a Product-building AI/ML team. This is a Greece-based, full-time, employee-status, fully remote position. 

Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

Top Skills

Hugging Face
Python
PyTorch
Scikit-Learn
TensorFlow
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The Company
HQ: Palo Alto, CA
265 Employees
Year Founded: 2017

What We Do

Aisera is a leading provider of enterprise Generative AI apps and a platform that helps enterprises accelerate revenue growth, improve user productivity, lower costs, and create magical user experiences.

Our products - AiseraGPT, AI Copilot, AI Search, and Agent Assist - are built on our Generative AI Platform that serves as the fundamental building block for enterprise GenAI applications. Aisera leverages a TRAPS framework (Transparent, Responsible, Auditable, Privacy, and Secure) to meet stringent data governance requirements while adhering to the highest standards of Responsible AI.

Aisera products deliver human-like interactions with a multi-modal interface, providing contextually rich conversations that boost user productivity. With pre-trained, domain-specific LLMs grounded in customer data, our products offer higher accuracy, fewer hallucinations, and increased resolution rates. They address critical industry challenges, spanning a wide range of solutions, including AI-driven software engineering, code generation, content and knowledge creation, workflow automation, and natural language AI-powered analytics.

AiseraGPT automates knowledge retrieval and repetitive tasks, while AI Copilot serves as a personal companion for answering questions, analyzing data, and completing tasks. Agent Assist provides real-time assistance for agents, including case summarization, recommendations, and next best actions, through an embedded UI widget in SaaS applications like ServiceNow, Salesforce, Workday, and more. Aisera’s AI Search allows users to perform secure, private, and permissions-aware enterprise-wide searches using natural language, generating answers, summaries, and micro-actions to boost efficiency.

Aisera provides a Universal Bot with a unified interface to resolve user requests across all domains, including Engineering, HR, IT, Sales, Marketing, Customer Service, Life Sciences, Healthcare, Financial Services, and Retail. Aisera compliments these offers with action bots that are built-in with customizable AI Workflows through an Event and Visual Studio to take action and automate business processes.

Aisera technology is based on an Agentic and reasoning architecture that can perform intentless and intent-driven natural language requests across unstructured and structured databases, business apps, and systems of records. Users benefit from a default large context window, personalized responses, and summarizations.

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