Table 1Transition record

monitoring and evaluation officertocomputer vision engineer

A monitoring and evaluation officer already meets 16% of what the computer vision engineer role asks for. The move turns on 27 required skills not yet in the profile.

From monitoring and evaluation officer

16%

Overlap1

To computer vision engineer

8 Skills carried over

27 Required, not held

86.7 Difficulty2

Career overlap Distant match

16%

Learning distance A rebuild

86.7/ 100

Easy adjacentmoderatesubstantialcareer change Hard

1 Share of the computer vision engineer role’s weighted skill requirement already met by the monitoring and evaluation officer profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.

Why

Why this move works

A computer vision engineer role treats 5 of its required skills as things a monitoring and evaluation officer already does. These are the ones it depends on most.

apply statistical analysis techniques
implement data quality processes
manage data collection systems
perform data cleansing
report analysis results

What stands in the way is 27 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.

Table 2

Table 2 · What you already bring

Of the 8 skills that carry over, these are the ones fewest other occupations ask for. A computer vision engineer role needs them, and most people applying for one will not have them already. This is the part of a monitoring and evaluation officer background worth leading with.

Skill the target role also needs Area

already held implement data quality processes working with computers
already held perform data cleansing working with computers
already held create data models information skills
already held manage data collection systems information skills
already held report analysis results information skills
already held conduct qualitative research information skills

All 8 carried skills, including the 5 the computer vision engineer role treats as required.

Table 3

Table 3 · What you would need to learn

The 44 missing skills fall into 8 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.

Skill to acquire Tier

01 information and communication technologies (icts) 11 required, 7 supplementary

required, not held Python (computer programming) required
required, not held digital twin technology required
required, not held integrated development environment software required
required, not held principles of artificial intelligence required
required, not held computer programming required
required, not held computer simulation required
required, not held data engineering required
required, not held data science required
required, not held image recognition required
required, not held machine learning required
required, not held scientific computing required

optional, not held cognitive computing optional
optional, not held quantum computing optional
optional, not held query languages optional
optional, not held resource description framework query language optional
optional, not held computer graphics optional
optional, not held deep learning optional
optional, not held digital systems optional

02 working with computers 8 required, 3 supplementary

required, not held develop data processing applications required
required, not held develop software prototype required
required, not held establish data processes required
required, not held normalise data required
required, not held use software libraries required
required, not held utilise computer-aided software engineering tools required
required, not held develop computer vision system required
required, not held perform dimensionality reduction required

optional, not held debug software optional
optional, not held perform data mining optional
optional, not held use markup languages optional

03 information skills 4 required, 1 supplementary

required, not held conduct literature research required
required, not held execute analytical mathematical calculations required
required, not held handle data samples required
required, not held interpret current data required

optional, not held conduct scholarly research optional

04 arts and humanities 1 required, 1 supplementary

required, not held digital image processing required

optional, not held image formation optional

05 communication, collaboration and creativity 1 required, 1 supplementary

required, not held deliver visual presentation of data required

optional, not held design user interface optional

06 management skills 1 required, 1 supplementary

required, not held define technical requirements required

optional, not held define data quality criteria optional

2 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries a computer vision engineer role is least likely to hire without. The ordering is computed from the skill data, not from what pays.

Each entry opens a course search for that skill. Career Overlap earns nothing from these links.

Appendix

Appendix · The rest of the record

All 8 skills that carry over

Skill Type

already held apply statistical analysis techniques skill
already held implement data quality processes skill
already held manage data collection systems skill
already held perform data cleansing skill
already held report analysis results skill
already held conduct qualitative research skill
already held conduct quantitative research skill
already held create data models skill

The 2 learning areas not shown above

Skill to acquire Tier

07 natural sciences, mathematics and statistics 1 required, 1 supplementary

required, not held statistics required

optional, not held mathematical modelling optional

08 engineering, manufacturing and construction 2 supplementary

optional, not held signal processing optional
optional, not held state estimation optional

17 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held cognitive computing optional
optional, not held debug software optional
optional, not held define data quality criteria optional
optional, not held design user interface optional
optional, not held perform data mining optional
optional, not held quantum computing optional
optional, not held query languages optional
optional, not held resource description framework query language optional
optional, not held signal processing optional
optional, not held use markup languages optional
optional, not held computer graphics optional
optional, not held conduct scholarly research optional
optional, not held deep learning optional
optional, not held digital systems optional
optional, not held image formation optional
optional, not held mathematical modelling optional
optional, not held state estimation optional

41 held skills the computer vision engineer role does not ask for

Skill Type

not needed by the target role adapt evaluation methodology skill
not needed by the target role apply organisational techniques skill
not needed by the target role commission evaluation skill
not needed by the target role communicate with stakeholders skill
not needed by the target role conduct training on monitoring and evaluation frameworks skill
not needed by the target role create data sets skill
not needed by the target role data protection knowledge
not needed by the target role define evaluation objectives and scope skill
not needed by the target role design questionnaires skill
not needed by the target role develop communications strategies skill
not needed by the target role development economics knowledge
not needed by the target role engage with stakeholders skill
not needed by the target role ethics knowledge
not needed by the target role evaluation theory knowledge
not needed by the target role formulate findings skill
not needed by the target role gather data for forensic purposes skill
not needed by the target role information confidentiality knowledge
not needed by the target role international development knowledge
not needed by the target role interview people skill
not needed by the target role maintain data entry requirements skill
not needed by the target role manage data skill
not needed by the target role manage project metrics skill
not needed by the target role manage quantitative data skill
not needed by the target role manage resources skill
not needed by the target role monitor recommendation follow-up skill
not needed by the target role observe confidentiality skill
not needed by the target role perform data analysis skill
not needed by the target role plan evaluation skill
not needed by the target role policy analysis knowledge
not needed by the target role process qualitative information skill
not needed by the target role promote evaluation capacity development skill
not needed by the target role reconstruct program theory skill
not needed by the target role respect data protection principles skill
not needed by the target role results-based management knowledge
not needed by the target role scientific research methodology knowledge
not needed by the target role survey techniques knowledge
not needed by the target role sustainable development goals knowledge
not needed by the target role systems thinking knowledge
not needed by the target role types of evaluation knowledge
not needed by the target role use databases skill

1 further entry not listed here

24 gaps that are knowledge rather than practice

Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.

Skill to acquire Tier

required, not held Python (computer programming) required
required, not held digital twin technology required
required, not held integrated development environment software required
required, not held principles of artificial intelligence required
required, not held computer programming required
required, not held computer simulation required
required, not held data engineering required
required, not held data science required
required, not held digital image processing required
required, not held image recognition required
required, not held machine learning required
required, not held scientific computing required
required, not held statistics required
optional, not held cognitive computing optional
optional, not held quantum computing optional
optional, not held query languages optional
optional, not held resource description framework query language optional
optional, not held signal processing optional
optional, not held computer graphics optional
optional, not held deep learning optional
optional, not held digital systems optional
optional, not held image formation optional
optional, not held mathematical modelling optional
optional, not held state estimation optional

Index

Other moves recorded from monitoring and evaluation officer

Full index of moves from monitoring and evaluation officer

Note

How this record was compiled

Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.