ARTIFICIAL INTELLIGENCE- Job Types
Cloud Computing
VR/AR Developer
Human-Computer Interaction (HCI)
AI Jobs Types & Skills
| # | Role | Description | Tools | Skills |
|---|---|---|---|---|
| 1 | ML Engineer | Build & deploy ML models | Python, Sklearn, TF, PyTorch | ML algos, preprocessing, tuning |
| 2 | Data Scientist | Extract insights using ML/stats | Python, R, SQL, Tableau | EDA, stats, ML, storytelling |
| 3 | Data Analyst | Analyze trends for business | Excel, SQL, Power BI | Wrangling, viz, basic stats |
| 4 | AI Researcher | Develop new AI models | Python, PyTorch, TF | DL, NLP, RL, papers |
| 5 | NLP Engineer | Work on text-based AI | spaCy, NLTK, BERT, GPT | NLP, embeddings, LLMs |
| 6 | CV Engineer | AI for images/videos | OpenCV, TF, YOLO | Image proc, CNNs, detection |
| 7 | AI PM | Bridge tech & business | JIRA, Figma, Excel | Lifecycle, AI basics, mgmt |
| 8 | Data Engineer | Build data pipelines | SQL, Spark, Airflow | ETL, big data, cloud |
| 9 | MLOps Eng. | Deploy & monitor models | Docker, K8s, MLflow | CI/CD, serving, cloud |
| 10 | Robotics Eng. | AI for automation | ROS, C++, TF | Control, sensors, AI integ |
| 11 | DL Engineer | Optimize deep nets | PyTorch, Keras | CNNs, RNNs, GANs |
| 12 | AI Ethicist | Ensure ethical AI | Fairlearn, AIF360 | Bias, ethics, policy |
| 13 | AI Architect | Design AI systems | AWS, GCP, Docker | Arch, ML lifecycle |
| 14 | Speech Eng. | Voice & ASR AI | Kaldi, Whisper | Audio ML, ASR |
| 15 | RL Engineer | Train AI agents | Gym, SB3, PyTorch | RL algos, rewards |
| 16 | GenAI Eng. | Create GenAI apps | GPT, DALL·E, SD | Prompting, LLMs |
| 17 | AI Biz Analyst | Find AI use cases | Excel, SQL, BI | Analysis, insights |
| 18 | Prompt Eng. | Craft LLM prompts | GPT, LangChain | NLP, creativity |
| 19 | Chatbot Dev | Build conversational AI | Rasa, Dialogflow | NLP, convo design |
| 20 | AI Trainer | Label & curate data | Labelbox, CVAT | Detail, domain ML |
Vacancies 2025
| # | Role / Profile | Skills Required | Company / Posting |
|---|---|---|---|
| 1 | AI Talent Acquisition Specialist | AI/ML domain knowledge, technical hiring, sourcing on LinkedIn, Boolean search, negotiation | Talco.ai – Gurugram |
| 2 | AI/ML Recruiter | Familiarity with Python, TensorFlow, PyTorch roles; stakeholder mgmt, ATS tools | Hunar AI – Bengaluru |
| 3 | Data Science Recruiter | Knowledge of data science stack (SQL, ML, stats), candidate evaluation, communication | AI Mind India Pvt Ltd – New Delhi |
| 4 | Tech Recruiter – AI Startups | Experience hiring ML engineers, AI researchers; startup hiring agility, sourcing globally | Fractal Analytics – Mumbai |
| 5 | Deep Learning Recruiter | Knowledge of CNNs, LLMs, NLP; screening advanced ML talent | TCS AI Practice – Pune |
| 6 | AI Hiring Consultant | AI domain consulting, workforce planning, client coordination, soft skills | TeamLease Digital – Bengaluru |
| 7 | AI Recruitment Partner | Talent mapping, passive sourcing, interview coordination, analytics tools | Tech Mahindra AI CoE – Hyderabad |
| 8 | AI/Robotics Recruiter | Knowledge of robotics, CV, embedded ML; hiring for research roles | GreyOrange Robotics – Noida |
| 9 | AI Contract Hiring Specialist | Contract staffing, vendor mgmt, quick screening, niche tech sourcing | Infosys AI Labs – Bengaluru |
| 10 | LLM / GenAI Recruiter | Understanding of LLMs, prompt engineering, generative AI tools, evaluation skills | LTIMindtree AI Practice – Chennai |
Compiler Design Jobs & Skills
| # | Role | Description | Tools | Skills |
|---|---|---|---|---|
| 1 | Compiler Engineer | Design, develop & optimize compilers translating high-level code into machine code | LLVM, GCC, Clang, Flex, Bison, Binutils, Python | Compiler theory, C/C++, parsing, codegen, optimizations |
| 2 | Compiler Optimization Engineer | Focus on optimizing generated code for efficiency & speed | LLVM/Clang, Intel VTune, Valgrind, CMake, Ninja | Optimization passes, profiling, JIT, LTO |
| 3 | Language Developer | Design & implement new languages or DSLs | ANTLR, Flex/Bison, LLVM, Racket, LISP, VS Code | Syntax/semantics, parsers, interpreters, grammars |
| 4 | Embedded Compiler Developer | Build compilers for embedded systems under tight constraints | GCC, Clang, ARM Compiler, Keil, MPLAB X, QEMU | Embedded C, cross-compiling, hardware optimizations |
| 5 | Interpreter Developer | Create interpreters for high-level or domain-specific languages | LLVM, Python, ANTLR, JVM, gdb, Valgrind | ASTs, runtime env, garbage collection, VM design |
| 6 | Static Analysis Engineer | Develop tools that analyze code correctness without execution | Clang Analyzer, Coverity, SonarQube, PyLint, Klee | Control/data flow, abstract interpretation, bug detection |
| 7 | Compiler Testing Engineer | Ensure compiler correctness & performance with testing & benchmarks | Google Test, LLVM Test, Valgrind, ASAN, Jenkins | Test automation, debugging, CI/CD, benchmarking |
| 8 | Compiler Documentation Specialist | Write clear documentation for compiler systems & APIs | Doxygen, Markdown, LaTeX, Javadoc, Sphinx | Tech writing, compiler theory, communication |
| 9 | Compiler/Language Researcher | Research novel compiler techniques & optimizations | LLVM, Coq, Isabelle, MATLAB, R | Theory, JIT, type inference, experimentation |
| 10 | Cross-Platform Compiler Developer | Enable code compilation across multiple architectures | GCC, Clang, CMake, QEMU, Docker | Cross-compiling, portability, platform optimization |
Vacancies 2025
| # | Role / Profile | Skills Required | Company / Posting |
|---|---|---|---|
| 1 | Compiler Engineer | C/C++, LLVM, GCC, optimization passes, code generation, assembly (x86/ARM) | Intel India – Bengaluru |
| 2 | Compiler Optimization Engineer | LLVM IR, profiling tools, vectorization, loop optimizations, performance tuning | Qualcomm – Hyderabad |
| 3 | Language Developer | Parser/lexer design (Flex/Bison, ANTLR), language semantics, DSL creation | Synopsys – Noida |
| 4 | Embedded Compiler Developer | Embedded C, ARM toolchains, cross-compiling, real-time constraints | Texas Instruments – Bengaluru |
| 5 | Compiler Verification Engineer | Test automation, regression suites, compiler debugging, CI/CD | NVIDIA – Pune |
| 6 | Static Analysis Engineer | Dataflow/control flow analysis, abstract interpretation, security checking | Siemens EDA – Bengaluru |
| 7 | Interpreter Developer | AST execution, virtual machines, JIT compilation, memory management | Oracle – Bengaluru |
| 8 | Compiler Research Engineer | JIT design, type inference, compiler optimizations, academic research | IIT Madras Research Park – Chennai |
| 9 | Cross-Platform Compiler Engineer | Porting compilers, multi-arch builds, QEMU, Docker, CMake | Arm – Bengaluru |
| 10 | Compiler Tools Developer | Build systems, debuggers, static checkers, LLVM plugins | AMD – Hyderabad |
| 11 | Language Runtime Engineer | Garbage collection, VM tuning, threading, JIT profiling | Google India – Bengaluru |
| 12 | Compiler Testing Engineer | Benchmarking, stress tests, Valgrind, AddressSanitizer, test coverage | Wipro R&D – Hyderabad |
| 13 | Compiler Documentation Specialist | Doxygen, Markdown, writing developer/user guides, API docs | Persistent Systems – Pune |
| 14 | Language Research Intern | Programming language theory, formal grammars, academic research | IISc / IIT Internship Programs |
| 15 | Embedded Compiler Intern | C/assembly basics, toolchain build, embedded testing | STMicroelectronics – Noida |
Companies
AI Research & Model Developers
OpenAI – ChatGPT, Codex, DALL·E
Anthropic – Claude AI
Google DeepMind – Gemini, AlphaFold
Meta AI – LLaMA models
Microsoft Research – Azure OpenAI integration
xAI – Elon Musk’s AI company (Grok)
Companies
Big Tech (AI-Powered Products & Platforms)
Google – Bard/Gemini, Vertex AI
Microsoft – Copilot, Azure AI
Amazon (AWS) – Bedrock, SageMaker
Apple – On-device AI, Siri evolution
NVIDIA – Generative AI for graphics, LLM infra
IBM – Watsonx, enterprise GenAI
AI Jobs FAQ
| # | Q & A |
|---|---|
| 1 | Q: What are the highest-demand AI jobs right now? A: Roles like ML Engineer, Data Scientist (AI specialization), NLP Engineer, and Computer Vision Engineer are highly sought. |
| 2 | Q: Which skills do employers want for AI jobs? A: Top skills include Machine Learning, Python, AI fundamentals, NLP, and Deep Learning. |
| 3 | Q: How much experience is needed to get an AI role in India? A: Entry roles may accept 0–2 years; advanced roles expect 3–5+ years of domain experience. |
| 4 | Q: What salary can I expect for an AI job in India? A: Example: NLP Engineer salary ~₹20–40 LPA depending on experience and company. |
| 5 | Q: Do I need a PhD for an AI/ML career? A: Not always. Many roles require strong skills & experience; research roles may prefer advanced degrees. |
| 6 | Q: Is AI/ML hiring growing despite tech hiring slowdowns? A: Yes — specialised AI roles continue to be targeted. |
| 7 | Q: What programming languages should I learn for AI jobs? A: Python is top; also C++, Java, R depending on the domain. |
| 8 | Q: What domains within AI are most popular? A: Machine Learning, Deep Learning, NLP, and Computer Vision stand out. |
| 9 | Q: How important is cloud/deployment knowledge for AI jobs? A: Quite important, especially for roles that require productionising models or AI systems. |
| 10 | Q: Can someone switch into AI/ML from a non-CS background? A: Yes — with focused upskilling (ML fundamentals, coding, projects) and domain adaptation. |
| 11 | Q: Are internships helpful for breaking into AI jobs? A: Very much: hands-on experience, project portfolio, and relevant tools help a lot. |
| 12 | Q: What tools & libraries are commonly used in AI jobs? A: TensorFlow, PyTorch, scikit-learn, OpenCV, BERT/GPT, depending on specialization. |
| 13 | Q: Which cities in India are good for AI jobs? A: Bengaluru, Hyderabad, Pune, and NCR are strong hubs for AI / tech roles. |
| 14 | Q: Does AI job require maths & statistics knowledge? A: Yes — understanding algorithms, optimisation, data structures, and statistics is crucial. |
| 15 | Q: What is the difference between an AI engineer vs ML engineer? A: AI engineer works broadly on intelligent systems; ML engineer focuses on model/algorithm development and deployment. |
| 16 | Q: Are remote AI jobs available in India? A: Yes — especially in startups / global teams, though location preferences vary. |
| 17 | Q: How competitive are AI job applications? A: Very competitive — strong domain skills, tools knowledge, and projects are essential to stand out. |
| 18 | Q: What mistakes should I avoid when applying for AI jobs? A: Neglecting portfolio/projects, applying without domain knowledge, weak coding skills, unclear role alignment. |
| 19 | Q: How should I prepare for AI job interviews? A: Study ML/Deep Learning fundamentals, coding problems, system design for ML, and domain-specific use-cases. |
| 20 | Q: Is AI going to replace all jobs / is it risky to pick AI career? A: AI will transform many roles but a career in AI with strong fundamentals remains a good investment; staying updated is key. |
AI kya he. What are AI & fresher jobs in Bangalore 2026.
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