Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
About You
You are a highly skilled Machine Learning Engineer who thrives on building real-world AI solutions that deliver measurable business impact. You enjoy working with modern ML and LLM technologies designing scalable training and inference pipelines and ensuring models are reliable explainable and production-ready.
You communicate clearly collaborate effectively with engineering and product teams and stay ahead of emerging AI advancements. You are also someone who enjoys mentoring others and contributing to the organizations AI/ML best practices.
You bring to Applaudo the following competencies:
- Bachelors Degree or higher in Computer Science Computer Engineering Data Science or related field or equivalent experience.
- Strong expertise with the Python ML stack: scikit-learn pandas NumPy.
- Hands-on experience integrating and optimizing LLM-based systems (OpenAI API LangChain fine-tuning workflows RAG pipelines).
- Solid knowledge of forecasting models: regression time-series probabilistic approaches.
- Experience building and maintaining confidence scoring systems using hybrid rule-based ML methods.
- Deep understanding of model evaluation bias detection drift analysis and performance analytics.
- Ability to design and implement training inference and continuous-improvement pipelines.
- Familiarity with MLOps practices including model versioning monitoring and retraining cycles.
- Experience with vector databases such as FAISS Pinecone Weaviate and HuggingFace Transformers.
- Strong analytical problem-solving and system-thinking abilities.
- Excellent communication and documentation skills for collaborating across technical and non-technical teams.
- Experience mentoring engineers or leading ML initiatives. (Nice to Have)
- Cloud experience with AWS Azure or GCP; familiarity with distributed data processing. (Nice to Have)
- Advanced English level as you will collaborate with teams and stakeholders across regions.
You will be accountable for the following responsibilities:
- Design build and maintain training and inference pipelines for traditional ML and LLM-based systems.
- Develop predictive models using regression time-series and probabilistic techniques.
- Build and refine confidence scoring systems to ensure model reliability.
- Integrate LLMs (OpenAI HuggingFace) across products using APIs LangChain fine-tuning and RAG pipelines.
- Conduct bias drift error and fairness analysis to maintain model transparency and robustness.
- Implement and manage vector databases to support retrieval-augmented generation pipelines.
- Collaborate closely with engineering and product teams to bring ML-powered features into production environments.
- Apply MLOps principles: model monitoring retraining workflows versioning and CI/CD for ML.
- Provide mentorship to team members and contribute to shaping the companys AI/ML engineering standards.
- Stay current with industry advances and proactively recommend emerging tools frameworks and best practices.
Additional Information :
Here at Applaudo Studios values as trust communication respect excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.
Submit your application today and dont miss this opportunity to join the Best Digital team in the Region!
We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios and thats why the perks that we offer are deeply thought and designed as a way to thank them for their commitment and excellence.
Some of our perks and benefits:
- Celebrations
- Special discounts*
- Entertainment area*
- Modern Work Spaces*
- Great work environment
- Private medical insurance*
*Benefits may vary according to your location and/or availability. Request further information when applying.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
