14 ago - Parma
Camlin Group
Ph3Senior AI/ML Engineer /h3 pCamlin Group Parma, Other / Non-US, Italy /p h3About this position /h3 pbAbout Camlin /b /p pCamlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of RD projects in a variety of scientific sectors. /p pAt Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide. /p h3The Role /h3 pWearelookingfor abSenior AI/ML Engineer /bto provide technical leadershipacrossAI and datainitiatives. Thisisahands-onindividualcontributorroleforsomeonewhocan takeambiguousAI/MLproblems,understandthe technical challenges,shapepracticalsolutionsand breakthemdownintoexecutableengineering work. /p pYou'llworkcloselywithengineers, data scientists, product, domainexperts, Delivery and Architecture to turnideasintotechnicallysound, production-readysolutions.You'llhelp teams makedifficulttechnicaldecisions,identifyrisks andunknownsearly, and provide the technicaldirectionneededtomovecomplexinitiativesforward. Success inthisrolemeanshelpingteams makebettertechnicaldecisions,reducinguncertaintyearlyandimprovingthequalityandpredictabilityof engineeringexecution. /p pbThisisahybridpermanentrole, with 3 days on-site and 2 days working from home. /b /p h3WhatYou'llWork On /h3 pYou'llhelp build AI and data productsusedin energyenvironments,including: /p ul liPredictivemaintenanceforcriticalinfrastructure /li liAnomalydetectionon industrialsensordata /li liAsset monitoring andoperationalintelligence /li liEnergy forecasting and time-seriesmodelling /li liProduction ML systemsoperatingon large-scalemultimodaldatasets /li /ul pThesearedifficultreal-worldproblemsinvolvingnoisyand incompletesensordata, sparse labels, large-scale time-seriesdatasets andevolvingoperationalrequirements.
/p h3WhatYou'llDo /h3 ul liShape technical solutions — TurnambiguousAI/MLproblemsintoclear,practicaltechnicalapproaches. /li liBreak down complex initiatives — Translatehigh-levelproblemsintotechnicalcomponents,dependenciesandexecutableengineering work. /li liGuide AI/ML decisions — Make andcommunicatetrade-offsacrossdata, models and systems, balancingquality, reliability, complexity, cost and performance. /li liProvide technical leadership — Work withengineers, data scientists, product and domainexpertsto resolvecomplextechnical challenges andmaintaina clear engineeringdirection. /li liImprove engineering quality — Establishgood practices and patternsthatmake AI/ML systemsreliable,maintainableandscalable. /li /ul h3WhatWe'reLookingFor /h3 pWe'relookingforsomeonewhocombines strong AI/ML engineering capability with sound technicaljudgementand apragmaticapproachto solvingcomplexproblems. /p pYouwilllikelyhave: /p ul liSignificantexperiencebuildingreal-world AI, ML or data products. /li liStrongunderstandingof AI/ML systems, from data andmodellingthroughto production. /li liExperiencetakinginitiativesfrom anuncertainorearly-stage ideathroughto a workingsolution. /li liStrong software engineeringfundamentals,particularlyin Python. /li liExperience working with data-intensive or time-seriessystems. /li liTheabilitytoreasonaboutsystem design,dependencies,scalability, reliability andoperationalconstraints. /li liStrongjudgementwhenevaluatingtechnical options and trade-offs. /li liTheabilitytocommunicatetechnicaldecisionsclearlytobothtechnical and non-technical stakeholders. /li liExperience workingeffectivelywithengineers, data scientists, product and domainexperts.
/li liA collaborativeapproach, with the confidence to challengeassumptionsconstructively. /li /ul pYou don't need to be the deepest specialist in every AI/ML technique. We'relookingforsomeonewhocanconnectthedifferentpieces, make good technicaldecisionsand help teams solvedifficultproblems. /p h3Technology /h3 pOurcurrenttechnologyenvironmentincludes: /p ul liPython /li liApache Spark /li liDatabricks /li liMLflow /li liLarge-scale industrial and time-seriesdatasets /li /ul pWedon'texpectyoutohaveusedeverytechnologyin thestack. Strong engineeringfundamentalsand theabilitytolearnandapplytherighttoolsmattermorethanmatchingeveryitem. /p h3Why This Role /h3 pWork onreal-worldindustrial and energy datasets.SolvetechnicallychallengingAI/MLproblemswithvisiblebusiness impact.Havemeaningfultechnicalinfluence.Help turnambiguousproblemsintopractical, production-readysolutions.Growintobroadertechnical ownershipacrossCamlin'sAI and datainitiatives. /p h3Our Values /h3 pWe work togetherWe believe in peopleWe won’t accept the ‘way it has always been done’We listen to learnWe’re trying to do the right thing /p h3Benefits: /h3 ul liDaily food vouchers: for days worked in person in the premises. /li liTraining Support: We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development. /li liDiscounted Gym Membership: Stay fit with our discounted gym membership program. /li liWellness Programs: We prioritise your well-being through our wellness initiatives. /li liInternal Reward Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture. /li /ul pIndividuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation. /p /p #J-18808-Ljbffr
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