Senior Ia/Ml Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+15 more
Job description
OverviewWe’re Growing Our AI Dream Team!We’re not big on titles, but let’s call this oneData Scientistfor the team. As part of our international AI/ML squad, you’ll craft tailor-made solutions that wow our clients. We’re hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action - and that’s just the beginning.What you will doYou’ll tackle the unique challenges of AI-powered software alongside a team of brilliant mindsYou’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impactWhether you prefer working from home or joining us at our offices, the choice is yoursAGILE isn’t just a buzzword here - it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double checkReady to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen!ResponsibilitiesParticipating in the design and development of AI solutions for challenging projectsBuilding production level ML/AI solutions, with solid software engineering and ML/AI principlesMLOps: automated deployment and monitoring of models and infrastructureData analysis (data cleaning, variable transformation, etc.)Developing and training ML modelsPutting AI models into productionParallelizing, optimizing, tuning, and testing models to deploy in a production environmentRequirementsMore than 7 years of experience in AI / Machine Learning / Computer ScienceAbility to build an end-to-end software product with a machine learning componentKnowledge in applied computer visionStrong skills in Python and reasonable SQL understandingExperience in building ML/deep learning pipelines and modelsExperience in implementing production-ready ML models using current ML/Deep learning techniquesMLOps experience is valuableExperience in NLP projects is necessaryEnglish is mandatoryNice to haveExperience with deep learning frameworks like TensorFlow, PyTorch, etc.Experience with Big Data projects and toolsExperience writing RESTful web servicesExperience with DevOps tools (Docker, CI/CD, etc.)Experience with source code version control toolsExperience working with Azure or other cloud platformsAzure Machine Learning experience is a plusExperience with Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similarTensorFlow Lite, TensorFlow Serving, gRPCUnit testing knowledgeSolid object-oriented programming skillsBenefitsSalary determined by the market and your experienceFlexible schedule (35 hours / Week)Fully remote work (optional)Flexible compensation (restaurant, transport, and childcare)Medical and dental insurance (for the employee)Individual budget for training or equipment and free Microsoft certificationsEnglish lessonsBirthday day offMonthly bonus for electricity and Internet expenses at homeDiscount on gym plans and sports activitiesAnnual team-building eventsOther perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, and access to a employee discount portalThe opportunity to work with the latest technological toolsSelection processSimple, three steps:Phone screenTwo interviews with the teamAbout Plain ConceptsPlain Concepts is a global company of over 500 people passionate about technology and innovation. We operate in more than 6 countries and work to drive cutting-edge projects worldwide. We are committed to technical excellence and known for developing customized projects, offering specialized technical consultancy and training.We pride ourselves on being a 100% technical team, dedicated to crafting custom projects from scratch, offering expert technical consultancy, and providing top-tier training. Our approach goes beyond traditional outsourcing; we focus on creating value with our clients. Our teams are diverse and multidisciplinary, operating in a flat, collaborative structure. We live and breathe AGILE principles and encourage knowledge-sharing and innovation.What we doWe are a 100% technical team focused on crafting custom projects, offering consultancy, and providing training. We value transparency and long-term partnerships and welcome bold ideas.Want to learn more? Check out our website: plainconcepts.comPlain Concepts is an equal opportunity employer. We value diversity and do not discriminate based on race, color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.#J-*****-Ljbffr
Requirements
More than 7 years of experience in AI / Machine Learning / Computer Science Ability to build an end-to-end software product with a machine learning component Knowledge in applied computer vision Strong skills in Python and reasonable SQL understanding Experience in building ML/deep learning pipelines and models Experience in implementing production-ready ML models using current ML/Deep learning techniques MLOps experience is valuable Experience in NLP projects is necessary English is mandatory Nice to have Experience with deep learning frameworks like TensorFlow, PyTorch, etc. Experience with Big Data projects and tools Experience writing RESTful web services Experience with DevOps tools (Docker, CI/CD, etc.) Experience with source code version control tools Experience working with Azure or other cloud platforms Azure Machine Learning experience is a plus Experience with Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar TensorFlow Lite, TensorFlow Serving, gRPC Unit testing knowledge Solid object-oriented programming skills
Benefits & conditions
Salary determined by the market and your experience Flexible schedule (35 hours / Week) Fully remote work (optional) Flexible compensation (restaurant, transport, and childcare) Medical and dental insurance (for the employee) Individual budget for training or equipment and free Microsoft certifications English lessons Birthday day off Monthly bonus for electricity and Internet expenses at home Discount on gym plans and sports activities Annual team-building events Other perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, and access to a employee discount portal The opportunity to work with the latest technological tools Selection process Simple, three steps: Phone screen Two interviews with the team About Plain Concepts Plain Concepts is a global company of over 500 people passionate about technology and innovation. We operate in more than 6 countries and work to drive cutting-edge projects worldwide. We are committed to technical excellence and known for developing customized projects, offering specialized technical consultancy and training. We pride ourselves on being a 100% technical team, dedicated to crafting custom projects from scratch, offering expert technical consultancy, and providing top-tier training. Our approach goes beyond traditional outsourcing; we focus on creating value with our clients. Our teams are diverse and multidisciplinary, operating in a flat, collaborative structure. We live and breathe AGILE principles and encourage knowledge-sharing and innovation. What we do We are a 100% technical team focused on crafting custom projects, offering consultancy, and providing training. We value transparency and long-term partnerships and welcome bold ideas. Want to learn more? Check out our website: plainconcepts.com Plain Concepts is an equal opportunity employer. We value diversity and do not discriminate based on race, color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law. #J-*****-Ljbffr
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.buscojobs.com.esGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production
The Most Popular IT Jobs on the Market
MLOps – What’s the deal behind it?
7 Most Popular Web Developer Jobs in Europe