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      Urgent! Machine Learning Engineer Position in Brasil - deepsense.ai
 
                        
                         Employment type: B2B Operating mode: Remote Location: We help companies gain a competitive edge by delivering customized AI solutions.
Our mission is to empower our clients to unlock the full potential of AI.
We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.
Our team of 120 world-class AI experts has worked on 200 commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.
What we believe in?
Team Strength – sharing and exchanging knowledge is key to our daily work Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality Balance – we value work-life balance Commitment – we want you to be fully part of the team Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities Responsibilities Join our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing.
We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions.
If you’re excited about pushing the boundaries of what’s possible with GenAI, we invite you to be part of our team of experts! Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.
Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.
Automate and optimize model deployment following MLOps best practices.
Engage in the development of cutting-edge Kubernetes-driven infrastructure.
Work on system reliability and backend stability, always looking for details to be improved.
Share knowledge through talks and workshops (internal and external).
You must have Bachelor’s or advanced degree in Computer Science or Engineering.
Proven experience (3 years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.
Proven experience (1 years) in working with cloud (AWS/Azure preferred).
Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
Strong Python skills and familiarity with other object-oriented languages.
Very effective communication skills, both written and verbal.
Ability to solve problems and communicate complex ideas effectively.
You may have Basic understanding of machine learning algorithms.
Keen interest for Generative AI and Large Language Models (LLMs).
Previous startup experience.
We offer Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
An opportunity to participate in conferences and workshops.
An opportunity to participate in Tech Talks (internal training and seminar sessions).
Remote work options and travel to European headquarters available.
Some of our benefits Medical package.
Multisport cards.
Lunch provided.
Kitchens stocked with fruit and veggies twice a week.
Monthly integration budget.
Company library (online and offline).
Fun room.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Brasil, Brazil (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Brasil, Brazil using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 375 jobs in Brazil and 245 jobs in Brasil. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! deepsense.ai is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs Brasil.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at deepsense.ai adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs Brazil varies, but the pay scale is rated "Standard" in Brasil. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at deepsense.ai, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the deepsense.ai's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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