Mhandisi mwandamizi wa kujifunza kwa mashine

Daraja la 7 · Mhandisi wa kujifunza kwa mashine · Alama 495 za tathmini ya kazi

Tafsiri hii ilifanywa kutoka Kiingereza na msaidizi wa akili bandia na bado haijakaguliwa na mzungumzaji asilia. Nukuu kutoka UK GDaD PCF (Mfumo wa Uwezo wa Taaluma ya Kidijitali na Data wa Serikali ya Uingereza) na ESCO zinabaki kwa Kiingereza.

Kiwango cha UK GDaD PCF: Senior machine learning engineer

Mara nyingi hufanywa katika daraja la Utumishi wa Umma SEO au G7 au G6.

A senior machine learning engineer develops machine learning models so they can be used in products and services.
At this role level, you will:
decide what model is most suitable for use in products and services
customise, optimise, re-train and maintain existing models
deploy models into production, testing and assuring them to ensure they meet performance requirements
work with others to integrate models with existing systems
check that models used in live products and services stay safe, secure and continue to work effectively

Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

Wajibu

Kusambaza miundo kwenye huduma za kitabibu na za kiutendaji za uzalishaji, kwa majaribio ya kiotomatiki, matoleo na kurudi nyuma.
Kujenga ufuatiliaji wa utendaji wa muundo, mteleo na haki katika makundi ya wagonjwa, wenye tahadhari na wamiliki walio wazi.
Kuunganisha miundo na mifumo ya kitabibu, akitumia viwango huria kama HL7 FHIR inapowezekana.
Kutoa ushahidi wa majaribio, mabadiliko na ufuatiliaji unaohitajika kwa hoja za usalama wa kitabibu na mafaili ya kiufundi ya vifaa tiba.
Kutathmini na kurekebisha miundo ya wasambazaji na ya chanzo huria kwa matumizi ya ndani, ikiwemo miundo ya AI ya kuzalisha.
Kuwaongoza wanasayansi wa data na wahandisi kuhusu mazoezi ya uhandisi wa kujifunza kwa mashine.

Ujuzi

Ujuzi	Kiwango kinachotarajiwa	Kiwango hiki kinamaanisha nini
Applied maths, statistics and scientific practicesUK GDaD PCF	Mtaalamu (3)	You can: apply designated quantitative techniques such as time series analysis, optimisation and simulation to create and embed appropriate models for analysis and prediction provide guidance on matching data sources with relevant applied mathematics and statistical techniques to meet analysis goals apply appropriate statistical techniques to available data to discover new relations and offer insight into research problems, helping to improve organisational processes and support decision making access and use the statistical tools available within the organisation
Communicating between the technical and non-technicalUK GDaD PCF	Mtaalamu (3)	You can: listen to and interpret the needs of technical and non-technical stakeholders, and manage their expectations manage active and reactive communication support or host difficult discussions within the team or with diverse senior stakeholders
Data ethics and privacyUK GDaD PCF	Mtaalamu (3)	You can: work with stakeholders to identify and address ethical and privacy concerns demonstrate and communicate how data ethical issues fit into the wider organisational context research developments in data ethics and privacy to improve compliance and processes assess and constructively challenge proposed data ethics policies
Data science innovationUK GDaD PCF	Mtaalamu (3)	You can: demonstrate practical knowledge of data science tools and techniques develop data science solutions that maximise insight identify opportunities for how data science can improve data practices
Programming and build (software engineering)UK GDaD PCF	Mtaalamu (3)	You can: collaborate with others when necessary to review specifications use the agreed specifications to design, code, test and document programs or scripts of medium-to-high complexity, using the right standards and tools
Systems integrationUK GDaD PCF	Mtaalamu (3)	You can: define the integration build co-ordinate build activities across systems understand how to undertake and support integration testing activities
Kuelewa huduma za afya na matunzoMarejeleo haya	Utendaji (2)	Unaweza: kueleza mtiririko wa kazi za kitabibu na matunzo ambazo kazi yako inaziunga mkono kutumia istilahi za kawaida za afya kwa usahihi na wenzako wa kitabibu na matunzo kutambua ni lini mabadiliko yanaweza kuathiri matunzo ya wagonjwa na kuyaibua
Usimamizi wa hatari za kitabibuMarejeleo haya	Utendaji (2)	Unaweza: kushiriki katika warsha za hatari na kuchangia kumbukumbu ya hatari kufuata mchakato wa usimamizi wa hatari za kitabibu kwa kazi yako kutoa ushahidi kwa hoja ya usalama wa kitabibu, kama vile matokeo ya majaribio
Usimamizi wa taarifa na ulinzi wa dataMarejeleo haya	Utendaji (2)	Unaweza: kutumia kanuni za ulinzi wa data kwenye kazi yako kuchangia tathmini za athari za ulinzi wa data kushughulikia maombi ya taarifa na kumbukumbu kwa usahihi
Ushirikiano wa mifumo ya data za afyaMarejeleo haya	Utendaji (2)	Unaweza: kusoma na kutumia rasilimali, wasifu na API za FHIR kujenga au kujaribu miunganisho rahisi kwa mwongozo kukagua ujumbe dhidi ya vipimo
Udhibiti wa programu za vifaa tibaMarejeleo haya	Utendaji (2)	Unaweza: kufuata mchakato wa mzunguko wa maisha wa programu unaotimiza viwango vya vifaa tiba kutengeneza kumbukumbu ambazo mchakato kama huo unahitaji
AI salama na ya haki katika huduma za afyaMarejeleo haya	Mtaalamu (3)	Unaweza: kupanga uthibitishaji, tathmini ya upendeleo na ufuatiliaji wa moja kwa moja wa muundo pamoja na wenzako wa kitabibu kuamua lini muundo unahitaji kufunzwa upya, kudhibitiwa au kuondolewa kushauri timu ni lini muundo unaweza kudhibitiwa kama kifaa tiba na ushahidi gani unahitaji

Sifa na uzoefu wa kawaida

Uzoefu mkubwa wa kujenga na kuendesha mifumo ya kujifunza kwa mashine katika uzalishaji, katika kiwango kinacholingana na shahada ya uzamili.

Muhtasari wa Daraja la 7

Maarifa: Ujuzi maalumu uliokuzwa sana, kwa kawaida hadi kiwango cha shahada ya uzamili au uzoefu unaolingana.
Uhuru wa kutenda: Hufanya kazi kwa sera ya taasisi; huamua jinsi matokeo yanavyofikiwa; ndiye mtaalamu wanayemshauriana naye wengine.
Wigo: Bidhaa au huduma kadhaa, au kitengo maalumu.
Uongozi: Huongoza timu au eneo la mazoezi ya kitaaluma.
Uwajibikaji: Utoaji wa huduma au kitengo maalumu, na bajeti yake ikiwa anaisimamia.

Tathmini ya kazi (ya kielelezo)

Kigezo	Kiwango	Muhtasari wa kiwango	Alama
Ujuzi wa mawasiliano na kujenga mahusiano	4	Hutoa taarifa tata, nyeti au zenye utata zinazohitaji ujuzi wa ushawishi, majadiliano au ufundishaji, au taarifa tata sana.	32
Maarifa, mafunzo na uzoefu	7	Maarifa maalumu yaliyokuzwa sana katika upana wa fani hiyo (kiwango cha shahada ya uzamili au kinacholingana).	196
Ujuzi wa uchambuzi na uamuzi	5	Hufanya maamuzi kuhusu ukweli au hali tata sana zinazohitaji uchambuzi, ufasiri na ulinganisho wa chaguzi.	60
Ujuzi wa kupanga na kuratibu	3	Hupanga shughuli kadhaa tata, akirekebisha mipango inapohitajika.	27
Ujuzi wa kimwili	3	Ujuzi uliokuzwa unaohitaji kasi au usahihi, kama vile matumizi ya hali ya juu ya kibodi.	27
Wajibu wa huduma kwa wagonjwa na wateja	1	Huwasaidia wagonjwa, wateja au ndugu wakati wa mawasiliano ya bahati.	4
Wajibu wa sera na uendelezaji wa huduma	3	Hutekeleza sera za eneo lake na kupendekeza mabadiliko yanayoathiri maeneo mengine.	21
Wajibu wa rasilimali za fedha na mali	1	Hutunza binafsi vifaa na rasilimali zinazotumika katika kazi yake.	5
Wajibu kwa watu	2	Husimamia au huratibu wafanyakazi kila siku, hufunza wengine mara kwa mara, au hutoa ushauri wa msingi wa rasilimali watu.	12
Wajibu wa rasilimali za taarifa	5	Hubuni na kuendeleza mifumo mikubwa ya taarifa, au huendesha mifumo ya taarifa ya huduma kadhaa kama jukumu kuu.	34
Wajibu wa utafiti na maendeleo	2	Mara kwa mara hufanya utafiti, maendeleo, majaribio ya kitaalamu, au majaribio ya vifaa na mifumo kama sehemu ya kazi.	12
Uhuru wa kutenda	4	Matokeo yamebainishwa, lakini mwenye nafasi huamua jinsi ya kuyafikia, ndani ya sera pana.	32
Juhudi za kimwili	1	Kukaa, kusimama na kutembea, kwa juhudi ndogo ya kimwili.	3
Juhudi za kiakili	4	Umakini wa muda mrefu mara kwa mara, au umakini mkali mara chache.	18
Juhudi za kihisia	1	Kukumbana mara chache, au kukumbana kwa njia isiyo ya moja kwa moja mara chache, na hali zenye kusikitisha.	5
Mazingira ya kazi	2	Mazingira yasiyopendeza mara chache, safari za mara kwa mara au kazi za nje, au matumizi ya skrini karibu bila kikomo siku nyingi.	7
Jumla (Daraja la 7: 466 hadi 539)			495