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Open nowPosted 813 days ago

Senior Machine Learning Engineer

lokajobs14 open roles

Where
LatAm, North Macedonia, Portugal, Serbia
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Your applicationOpen nowSenior Machine Learning Engineerlokajobs · LatAm, North Macedonia, Portugal, Serbia

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 813 days ago

The posting

Years from now, history will look back at this moment as a landmark for the human race, the moment generative AI began to change everything. At Loka, we're not just watching it happen, we're

Misson Support

  • Engage with clients to understand their business and technical needs, evaluate potential solutions, and define high-level implementation approaches and estimates.
  • Contribute to internal engineering initiatives and projects, helping identify opportunities for improvement and drive their implementation.

Mentoring & Leadership

  • Serve as the primary ML specialist across multiple projects, elevating the team's work.
  • Provide guidance and mentorship to junior ML engineers within the team.

What You'll Bring

Technical Skills

  • Bachelor's degree in Computer Science or a related field.
  • 4+ years of AI/ML engineering experience.
  • Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.
  • Understanding of statistical, ML and deep learning algorithms.
  • Solid experience with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).
  • Experience with containerization and orchestration tools.
  • Client-facing experience.
  • Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).

Leadership & Soft Skills

  • A track record of mentoring junior engineers and elevating team output.
  • Confidence leading client communications and managing expectations independently.
  • Autonomy, adaptability and a consistently positive presence on the teams you work with.

Not Required but Nice to Have

  • MLOps/LLMOps experience, preferably in AWS, along with standard tooling (MLFlow, LangFuse).
  • Experience in consultancy environments or startups, including managing projects and adapting to different settings.

Additional Requirements

  • Excellent English, as a global team, we work entirely in English for meetings, customer calls and business communications.
  • CV written in English.

Personality Profile

  • Curious: You strive to learn and grow into different industries with a modern tech stack.
  • Autonomous and positive: You excel in a fully remote, globally distributed team.
  • Team player: You enjoy a collaborative approach.
  • Adaptable: You operate with a startup mindset and move at a startup pace.
  • Empathetic: You lead and mentor with patience and compassion.

Benefits

  • Every other Friday off (26 extra days off a year)
  • Remote-first culture
  • Explore and Relocation programs (three months work abroad or full international relo)
  • Paid sick days and local holidays
  • Business English classes program
  • Continuous Learning Support
  • Fitness and/or Mental Health Subscriptions
  • Access to LokaLabs™, our internal research and development program
  • Defined career path

Your achievements matter to us! Ensure your CV, LinkedIn and GitHub profiles are up to date and accurately reflect your experience.

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