- Company: Get A Job.ai
- Location: Argentina
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential data engineering and AI consulting organization based in Argentina. Our talent team is seeking a Machine Learning Engineer Lead to join their remote-first environment. This role combines hands-on technical work with leadership responsibilities, guiding teams through the full lifecycle of ML systems—from proof of concept through production deployment.
If you're a data professional who enjoys mentoring others while staying close to the code, we'd like to hear from you.
Responsibilities
- Lead and mentor engineering teams, fostering skill development and establishing best practices across data and ML projects
- Guide the creation of technical specifications and ensure clear, maintainable documentation
- Act as the primary technical liaison for stakeholders, aligning business objectives with technical solutions
- Develop and optimize data pipelines and ML solutions with a focus on scalability, monitoring, and performance
- Oversee the complete lifecycle of models—exploratory data analysis, feature engineering, deployment, and continuous improvement
- Build proof of concepts to validate new approaches and refine solutions before full implementation
- Optimize system performance across latency, memory usage, and throughput
- Design and maintain feature stores and data infrastructure supporting ML workflows
- Research and implement emerging technologies to enhance client deliverables
- Participate in candidate interviews and technical evaluations
What We're Looking For
Required:
- Proven experience leading and mentoring teams on data projects, with a track record of guiding technical decisions and fostering team growth
- Demonstrated ability to collaborate with stakeholders, translating business requirements into technical solutions and aligning priorities across teams
- Hands-on experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup
- Strong proficiency in Python (Pandas, NumPy, Jupyter, Scikit-Learn, XGBoost, Plotly)
- Solid knowledge of SQL
- Experience with at least one major cloud platform (AWS, GCP, or Azure)
Nice to Have:
- Experience with ML workflow tools such as Airflow, MLflow, or similar platforms
- Background in AdTech or Generative AI projects
- Familiarity with Deep Learning frameworks (Keras, PyTorch, TensorFlow)
- Strong English communication skills for technical documentation and discussion
- Basic knowledge of Docker and containerization
How We Work With You
Candidates apply directly through Get A Job.ai. One of our recruiters will screen your background and experience, then present qualified candidates to our client. Please do not attempt to contact the client directly—all communication flows through our recruiting team to ensure a smooth, professional process for everyone involved.
Pay
Compensation details will be discussed during the screening process and are competitive for the Argentina market. Our client offers a remote-first work environment, professional development support including cloud certifications, and additional perks such as birthday leave and team events.
Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We encourage applications from candidates of all backgrounds and work with clients who share our commitment to diversity and equal opportunity.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Machine Learning Engineer Lead
- Employer Get A Job.ai
- Location Argentina
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 1, 2026
- Apply by October 2, 2026
- Country Argentina
- Overview Full job description on this page (458 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Machine Learning Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze problems to develop solutions involving computer hardware and software.
- Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
- Assign or schedule tasks to meet work priorities and goals.
- Meet with managers, vendors, and others to solicit cooperation and resolve problems.
- Design computers and the software that runs them.
- Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
Explore related openings
Occupation family: Machine Learning Engineer
Keep exploring on Get A Job.ai
Not quite the right fit? Your next opportunity is a click away.
- Browse all jobs
- More jobs by category
- Remote jobs you can do from anywhere
- Research typical pay for this role
- Set a job alert so new matches reach you first
- Upload your resume to apply faster
Hiring instead? Post a job and reach candidates searching right now.