Become a Threat Intelligence Analyst.

NLP Engineers build production language systems — Indic-language models, automatic speech recognition (ASR) and synthesis (TTS), document understanding for enterprise paperwork, IVR and voice-bot stacks for Indian customer support, named-entity recognition and information extraction, and the increasingly common multimodal pipelines that fuse text with vision and speech. The work blends applied research, production engineering, and dataset craft: you train and fine-tune transformer models for low-resource Indic languages, curate parallel corpora and labeled datasets, optimize inference for cost, debug failure modes that only show up in code-mixed Hindi-English speech or in handwritten Tamil documents, and own quality SLOs that mix accuracy, latency, and fairness across 22 official Indian languages. In India through 2026, NLP is one of the highest-impact applied-AI specializations because the global English-first NLP literature transfers poorly to Indic languages — concentrated demand sits at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Yellow.ai), the public-good NLP groups at AI4Bharat (IIT-Madras) and Bhashini (Government of India), enterprise SaaS (Freshworks, Zoho ZIA, Postman, Verloop, Haptik), fintech (Razorpay, Cred, Paytm, M2P, IDfy), and the GCCs of Microsoft, Google, Adobe, and Amazon.

Power BI Developers design, build, and maintain the BI layer that turns raw enterprise data into decision-grade dashboards for finance, operations, sales, and supply-chain teams. The core loop is: connecting heterogeneous sources via Power Query (M language), modelling star schemas with fact and dimension tables, writing DAX measures and calculated columns for time-intelligence and KPI logic, publishing to Power BI Service workspaces, enforcing row-level security policies, and tuning slow reports by reducing visual-query counts and optimising DirectQuery folding. In India, this role is the Microsoft-stack alternative to Tableau development — deeply embedded in the M365-heavy enterprises: TCS, Infosys Nia practice, Wipro's Microsoft Business Applications unit, Mahindra Group, Tata Group digital, L&T Infotech (LTIMindtree), HCL, and every banking captive running Azure Synapse or Fabric. Demand spiked in 2024-2026 as Microsoft Fabric (Lakehouse, Semantic Model, Dataflows Gen2) expanded the Power BI surface area and pushed experienced developers into the ₹18-40L band.

Keep production systems fast, available, and observable for millions of users — by writing software that automates operations, runs capacity planning, designs SLOs and error budgets, and owns the on-call rotation for critical services. The role sits between software engineering and operations: you write Go / Python / Rust code, build reliability tooling, design distributed systems for resilience, run incident response, and push back on product launches that risk SLOs. In India, SRE is a premium specialization concentrated at FAANG-IN (Google SRE Bengaluru, Amazon, Microsoft IDC, Netflix India), product unicorns (Razorpay, Flipkart, Swiggy, Dream11, PhonePe, Zerodha), and the GCCs of high-traffic US firms (Uber, LinkedIn, Atlassian, GitHub, Cloudflare, Stripe). The work overlaps with DevOps but skews more toward software engineering: reliability is a product, not a process. Senior SRE pay in India sits at the very top of the technology bracket, often above equivalent SDE-3 backend roles.

Build and operate the internal developer platform — the CI/CD pipelines, Kubernetes clusters, service mesh, secrets management, observability stack, and IaC modules — that every other engineer in the company ships on. Platform engineers turn raw cloud (AWS/GCP/Azure) into a paved road: a developer pushes code, the platform takes it from commit to canary to production with logs, metrics, and rollback baked in. In India, the role is concentrated at product unicorns (Razorpay, Zerodha, CRED, PhonePe, Swiggy), GCCs of global firms (Microsoft, Atlassian, Stripe, Walmart Global Tech), and SaaS companies scaling past 200 engineers — typically the point at which a dedicated platform team starts paying for itself in shipping velocity.

Solutions Architects are the customer-facing technical role that bridges what a product can do and what a customer actually needs. They design end-to-end deployments, integrations, and migrations on behalf of the customer's engineering team — sizing infrastructure, mapping data flows, picking the right product modules, drafting reference architectures, and partnering with sales and customer-success to win and expand accounts. The role is genuinely hybrid: it requires deep technical depth (cloud, networking, security, distributed systems) and high verbal craft (workshops, executive presentations, written design docs that survive procurement and security review). In India through 2026, Solutions Architect is one of the highest-paid customer-facing technical roles, concentrated at the GCCs of cloud vendors (AWS India, Microsoft Azure India, Google Cloud India, Oracle, IBM), enterprise SaaS companies (Salesforce India, ServiceNow, Snowflake, Databricks, MongoDB, Confluent), B2B Indian product companies (Freshworks, Postman, Atlan, Hasura, Chargebee), and the systems-integrator giants (TCS, Infosys, Wipro, Accenture) where the role sits closer to delivery. Top-tier Solutions Architects in India routinely cross ₹1Cr total comp by L6+ and the role is a common path into VP-Engineering and Field-CTO seats.

Prompt Engineers design, evaluate, and ship LLM-powered features — system prompts, RAG flows, agent orchestration, structured-output schemas, and the eval harnesses that prove a prompt is actually better. The role sits between product, applied ML, and software engineering: you write prompts the way other engineers write code, run cost-quality-latency trade-off experiments, instrument grader pipelines, and own the part of the product that the LLM actually 'speaks.' In India through 2026, the role is one of the fastest-growing AI hires — concentrated at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Atlan, Yellow.ai), product SaaS shops with a serious AI feature surface (Freshworks, Postman, Chargebee, Whatfix, Zoho ZIA), fintechs (Razorpay, Cred, Paytm), and the GCCs of Microsoft, Google, Adobe, and Salesforce. The salary band is unusually wide because the title is new and JDs vary from 'wrote one ChatGPT integration' to 'owns the eval harness for a frontier model.' Sarvam AI made several public crore-level offers to senior prompt and LLM engineers in 2025.

Geneticists in India work across three distinct lanes: (1) Clinical / molecular genetics at hospitals and diagnostic chains — MedGenome (Bangalore), Strand Life Sciences (Bangalore), Mapmygenome (Hyderabad), Dr Lal PathLabs, SRL, Apollo and AIIMS clinical-genetics units; (2) Research — CCMB Hyderabad, CDFD Hyderabad (Centre for DNA Fingerprinting & Diagnostics), NII Delhi, IGIB Delhi (Institute of Genomics and Integrative Biology), inStem Bangalore, NCBS, IISc, IGIB-AcSIR; (3) Agricultural & livestock genetics at ICAR-NBPGR (plant), NBAGR (animal) and NDDB. Clinical-genetics careers route through MD Genetic Pathology or MD Anatomy / Biochemistry with genetics sub-specialty after MBBS. Research lanes need MSc Genetics / Biotech / Molecular Biology + PhD funded via CSIR-NET, DBT-JRF, ICMR-JRF. India's clinical-genetics market is growing fast (driven by NIPT, cancer-panels, rare-disease whole-genome sequencing) and is one of the strongest life-science lanes.

Senior: ₹50.0L

Computer Vision Engineers build perception systems that let machines see — object detection and tracking for autonomous vehicles, segmentation models for medical imaging, OCR and face-match for KYC, defect detection on factory lines, crop and satellite analysis for agritech, and the multimodal vision-language stacks now common in modern AI products. The work spans applied research, production engineering, and dataset craft: you train and fine-tune CNNs and vision transformers, label and curate datasets, optimize inference for edge devices and GPU servers, debug failure modes that only show up in real-world lighting, and own model quality across SLOs that mix accuracy, latency, and cost. In India through 2026, computer vision is one of the fastest-growing applied-AI specializations — concentrated at EV makers (Ola Electric, Ather, Mahindra Electric), drone and aerospace startups (ideaForge, Garuda Aerospace), fintechs running KYC and fraud (Razorpay, Paytm, M2P), agritech (CropIn, Fasal), medical imaging (SigTuple, Qure.ai, Niramai), retail-analytics startups, and the GCCs of Microsoft, Google, NVIDIA, Intel, and Bosch.

Senior: ₹70.0L

Elixir Developers build fault-tolerant, concurrent, and real-time systems on the Erlang BEAM virtual machine using the Phoenix framework, OTP supervision trees, and GenServer/Supervisor behaviours. In India through 2026, the role is niche — concentrated at companies building real-time chat (Hike, Pepper Chat), live-streaming infrastructure, fintech event-streaming, and at the India arms of global companies like Discord, Adobe Behance, Pepsico Digital, and moomoo that chose Elixir for its actor-model concurrency without the callback hell of Node.js. Remote-first hiring from European and US product companies (remote.com, Duffel, community.com, AppSignal) routinely brings $80-140K USD salaries to India-based senior Elixir engineers. The stack demands genuine OTP fluency — GenServer state machines, Supervisor restart strategies, ETS in-memory tables, Broadway for event ingestion, Oban for background jobs, and Phoenix LiveView for real-time server-rendered UI — that separates real practitioners from developers who've only read the Getting Started guide.

Senior: N/A

Biologists in India typically start as generalists and either pivot into a high-value sub-specialty (molecular biology, bioinformatics, ecology, pharma-discovery, public-health) or get squeezed in a saturated MSc-level job market. The strongest employers are CSIR labs (CCMB Hyderabad, IICB Kolkata, CDRI Lucknow, NBRI Lucknow), ICMR institutes (NII, NIRRH, NIE), TIFR / NCBS Bangalore, IISc, JNCASR, IISER network, and pharma/biotech R&D (Biocon, Syngene, Dr Reddy's, Bharat Biotech, Serum Institute). Conservation, taxonomy and ecology lanes route through WII Dehradun, ZSI, BNHS, NCBS-WCS programme. Funded PhD requires clearing CSIR-UGC NET, GATE-XL, DBT-JRF, ICMR-JRF or IISc/IIT entrance. Pure-academic posts are competitive — most BSc/MSc Biology graduates eventually move into bioinformatics, pharma, science-communication, or teaching.

Senior: ₹28.0L

MLOps Engineers productionize machine-learning systems — model serving, feature stores, training and inference pipelines, drift and quality monitoring, CI/CD for models, and the rollback machinery that keeps a recommender or fraud detector reliable at 3 AM. The role sits at the intersection of ML, backend engineering, and DevOps: you write Python and Go services, build training pipelines on Airflow or Kubeflow, deploy models on Kubernetes or SageMaker, instrument feature drift and prediction monitoring, and own SLOs for inference latency and model freshness. In India through 2026, MLOps is one of the highest-paid technical specializations because the combined ML + production-ops skill set is rare. Concentrated demand sits at fintechs (Razorpay, Cred, PhonePe, Paytm), B2B SaaS (Freshworks, Postman, Atlan, Hasura), AI-native startups (Sarvam AI, Krutrim, Yellow.ai), and the GCCs of Microsoft, Google, Walmart Global Tech, and Goldman.

Senior: ₹75.0L