I heard some mixed reviews in Optum about RRP. I am new here. Need more details on RRP. I have considerable RRP amount. Don't want to loose it. Anyone here received No or zero RRP ? in which scenarios its normally not given ? HR told me while joining that its given more than 100% sometime for good performers
Appeared for product org. Multiple technical interviews happened over 1 month span. Lastly they asked me to come for face to face interview for HR round. HR asked generic questions like what you do ? why will you join our org etc. I told them that I am in notice period. HR just asked last date. No ctc expectations asked. She told that she will give her feedback and then come back to me. Its been two days - no communication. Normally they are very prompt for conducting rounds.
Is it common nowdays ? after conducting multiple round , they is silence. Does HR have authority to cancel candidate in final HR round provided I am also from product company ?
I got offer from india based GCC for manager position.
I'm currently a lead developer with solid hands-on experience in AI and Data. I am getting offer for a role that's more Data-focused, whereas my background has leaned more toward AI. I'm also being interviewing for architect-track opportunities.
This role also involves people management, which has left me thinking about my long-term direction. My goal is simple: stay in AI/Data for the long haul and build sizable corpus/money for FIRE ( financial Independence) over time.
I'd like to hear from people with more experience — between the leadership/management track and the technical architect track, which tends to be the better long-term path in this space?
I got offer from india based GCC for manager position.
I'm currently a lead developer with solid hands-on experience in AI and Data. I am getting offer for a role that's more Data-focused, whereas my background has leaned more toward AI. I'm also being interviewing for architect-track opportunities.
This role also involves people management, which has left me thinking about my long-term direction. My goal is simple: stay in AI/Data for the long haul and build sizable corpus/money for FIRE ( financial Independence) over time.
I'd like to hear from people with more experience — between the leadership/management track and the technical architect track, which tends to be the better long-term path in this space?
Band offered - level 28
CTC - 57L including 20% variable
Manager position though I am hands on developer.
Joining expected in next 15 days.
Does Optum give 100% bonus ( they call it RRP), do they have often layoffs? I have plan to go to FAANG eventually. Will it help in technical growth and as brand value ?
Band offered - level 28
CTC - 57L including 20% variable
Manager position though I am hands on developer.
Joining expected in next 15 days.
Does Optum give 100% bonus ( they call it RRP), do they have often layoffs? I have plan to go to FAANG eventually. Will it help in technical growth and as brand value ?
**** Formatted with GPT *******
I've got ~18 years of experience, mostly in data engineering with the last few years heavily in AI — building agentic/LLM systems in production (RAG, agent orchestration, tool-calling, MCP, vector DBs) on top of data platforms (Snowflake, cloud warehouses, pipelines).
I'm trying to decide where to point the next decade of my career and I'm genuinely torn between two directions:
My worry with pure AI: the field moves insanely fast, and a lot of today's "hot" AI work (RAG plumbing, agent wiring, prompt engineering) feels like it's getting commoditized by better tooling and stronger foundation models. Am I chasing skills that churn every 2 years?
My worry with AI + Data: am I spreading myself thin instead of specializing? Does the market reward the specialist more than the generalist at senior levels?
For those of you further along or watching the industry closely:
- Which path is more secure long-term (10-15 years), given how fast AI is evolving?
- Which is higher-paying at senior/architect/leadership levels?
- Does the "data foundation" actually protect you, or is it becoming table stakes?
- Anyone regret going too narrow (pure AI) or too broad (AI+data)?
Not looking to job-hop for a buzzword — trying to make a deliberate long-term bet. Appreciate any real-world perspective. Thanks!
Got offer from Captive bank as VP position. I have 15 yrs exp. This captive Bank has 3 months of notice period, will that be issue for next switch ? want to hear from experienced people here.
I've got ~18 years of experience, mostly in data engineering with the last few years heavily in AI — building agentic/LLM systems in production (RAG, agent orchestration, tool-calling, MCP, vector DBs) on top of data platforms (Snowflake, cloud warehouses, pipelines).
I'm trying to decide where to point the next decade of my career and I'm genuinely torn between two directions:
Go "pure AI" — double down on AI/ML, agentic systems, LLM engineering, and become an AI specialist/architect.
Stay "AI + Data" — keep the combined profile: strong data engineering foundations plus AI on top (which is what I do now).
My worry with pure AI: the field moves insanely fast, and a lot of today's "hot" AI work (RAG plumbing, agent wiring, prompt engineering) feels like it's getting commoditized by better tooling and stronger foundation models. Am I chasing skills that churn every 2 years?
My worry with AI + Data: am I spreading myself thin instead of specializing? Does the market reward the specialist more than the generalist at senior levels?
For those of you further along or watching the industry closely:
- Which path is more secure long-term (10-15 years), given how fast AI is evolving?
- Which is higher-paying at senior/architect/leadership levels?
- Does the "data foundation" actually protect you, or is it becoming table stakes?
- Anyone regret going too narrow (pure AI) or too broad (AI+data)?
Not looking to job-hop for a buzzword — trying to make a deliberate long-term bet. Appreciate any real-world perspective. Thanks!
I've got ~18 years of experience, mostly in data engineering with the last few years heavily in AI — building agentic/LLM systems in production (RAG, agent orchestration, tool-calling, MCP, vector DBs) on top of data platforms (Snowflake, cloud warehouses, pipelines).
I'm trying to decide where to point the next decade of my career and I'm genuinely torn between two directions:
Go "pure AI" — double down on AI/ML, agentic systems, LLM engineering, and become an AI specialist/architect.
Stay "AI + Data" — keep the combined profile: strong data engineering foundations plus AI on top (which is what I do now).
My worry with pure AI: the field moves insanely fast, and a lot of today's "hot" AI work (RAG plumbing, agent wiring, prompt engineering) feels like it's getting commoditized by better tooling and stronger foundation models. Am I chasing skills that churn every 2 years?
My worry with AI + Data: am I spreading myself thin instead of specializing? Does the market reward the specialist more than the generalist at senior levels?
For those of you further along or watching the industry closely:
- Which path is more secure long-term (10-15 years), given how fast AI is evolving?
- Which is higher-paying at senior/architect/leadership levels?
- Does the "data foundation" actually protect you, or is it becoming table stakes?
- Anyone regret going too narrow (pure AI) or too broad (AI+data)?
Not looking to job-hop for a buzzword — trying to make a deliberate long-term bet. Appreciate any real-world perspective. Thanks!
My edge 50 fusion suddenly stopped with screen flickering. Went to Service center , 10+ people there with same problem. Checked youtube and Reddit - same problem.
Service Center guys is asking 15K INR for motherboard issue whereas phone itself is 23K INR purchased just year back. In frustration went to local market repairing, He said every other motorola has this issue and this can't be fixed. You need to simply throw it and purchase new one. If this problem happens with few of us then its fine but I see this is wide country level problem. We need to unite
I see this is big scam in India. Govt needs to intervene. Does anyone know the process ?
I was facing infertility for year. Fixed few things and worked on mostly sleep, diet and workout
While I am still working on medication , got good news
Latest Semen Analysis Results
Concentration: 15.9 M/ml (Ref: ≥16)
Total sperm count: 35.0 M/ejaculate (Ref: ≥39)
Motility
Total motility: 21% (Ref: ≥42)
Progressive motility: 15% (Ref: ≥30)
Rapid progressive: 8%
Slow progressive: 7%
Non-progressive: 6% (Ref: ≤1)
Immotile: 79% (Ref: ≤20)
Morphology
Normal forms: 1% (Ref: ≥4)
Motile Sperm Concentration
Motile sperm concentration: 3.4 M/ml (Ref: ≥6)
Progressive motile sperm concentration: 2.4 M/ml (Ref: ≥5)
Rapid progressive motile sperm concentration: 1.3 M/ml
Slow progressive motile sperm concentration: 1.1 M/ml
Functional / Other
Functional sperm concentration: 0.1 M/ml (Ref: ≥0.2)
Velocity (VCL): 23 mic/sec (Ref: ≥5)
Sperm Motility Index (SMI): 23 (Ref: ≥80)
Totals Per Ejaculate
Motile sperm: 7.5 M/ejaculate (Ref: ≥16)
Progressive motile sperm: 5.3 M/ejaculate (Ref: ≥12)
Functional sperm: 0.2 M/ejaculate (Ref: ≥0.6)
Morphologically normal sperm: 0.3 M/ejaculate (Ref: ≥2)