Senior Machine Learning Engineer

LatAm, North Macedonia, Portugal, Serbia

Open 5 months, first seen by us 155 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Engage with clients to understand needs and define implementation approaches and estimates
Serve as the primary ML specialist across multiple projects
Mentor and guide junior ML engineers
Contribute to internal engineering initiatives and improvements

From the employer’s posting

Engage with clients to understand their business and technical needs, evaluate potential solutions, and define high-level implementation approaches and estimates.

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.

Contribute to internal engineering initiatives and projects, helping identify opportunities for improvement and drive their implementation.

What you’ll bring

All qualifications

Core experience

Bachelor's degree in Computer Science or a related field.
Experience in consultancy environments or startups, including managing projects and adapting to different settings.
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).

Qualification wording

Bachelor's degree in Computer Science or a related field.

Experience in consultancy environments or startups, including managing projects and adapting to different settings.

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).

Education & alternatives

Technical Skills - Bachelor's degree in Computer Science or a related field. - 4+ years of AI/ML engineering experience.

Benefits in the posting

Full benefits wording

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
Defined career path

From the employer’s posting.

Apply at Loka®

Posting record

Report an error

Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 2, 2026155 days ago
Recorded sightings: 52
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 155

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,339 similar postings that came down. Coming down is not always a hire.

Loka® is hiring

4 open jobs

Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
AWS
MLflow
SageMaker
Hugging Face
PyTorch
scikit-learn
TensorFlow

Where the posting names them

- Client-facing experience. - Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers). Leadership & Soft Skills

- 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.

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.

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Your next step

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original 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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