🚀 We’re Hiring: Electronics & Communication Engineers Focus: RF Data Analytics · Radar Signal Processing · Electronic Warfare | Experience: 1 – 5 yrs | Age Limit: ≤ 30 yrs Why join Crimson? Work on next-generation radar and EW programs that safeguard critical national assets. Turn terabytes of raw I/Q captures into real-time intelligence alongside cross-functional experts. Ship your code from lab prototype to live field deployment and see immediate impact. What you’ll do Acquire – Automate high-throughput downloads, cataloguing and integrity checks of multi-gigabyte RF datasets. Clean & Sanitize – Write Python/Matlab routines for noise filtering, interference rejection and metadata standardisation. Transform – Build DSP modules to demodulate, resample and convert raw I/Q streams into emitter-level feature vectors. Ingest – Design robust ETL workflows into local and shared SQL/NoSQL databases with geospatial indexing. Analyse – Produce geospatial heat-maps, time-frequency plots and anomaly alerts that drive mission decisions. Present – Craft dashboards and concise reports that translate complex RF metrics into clear operational insight. Maintain – Handle routine calibration of RF front-ends, firmware upgrades and Linux/GPU server upkeep. Must-have qualifications Degree: M.Tech / ME / B.Tech / BE / M.Sc. in ECE, Telecom, Signal Processing, Radar Tech, Defence Electronics, or MCA with strong tech focus. Experience: 1 – 5 yrs hands-on with electronics, communications or signal-processing systems. Core knowledge: Electronic Support Measures (ESM), radar theory, communication waveforms, RF chain components. Tools: Matlab (or equivalent), Python (NumPy, SciPy, Pandas, PyTorch/SciKit-DSP-Comm), Git, Docker, Linux. Data skills: Building ETL pipelines, designing database schemas and basic DevOps practices. Nice-to-have superpowers GNU Radio and SDRs (USRP, HackRF) or Keysight/NI test equipment. REST API development with FastAPI or Flask. Geospatial tooling (GDAL, PostGIS, QGIS, ArcGIS). Familiarity with MIL-STD metadata formats (ST 0601/0603, ASTERIX) and radar messaging. Defence-sector clearance eligibility and a passion for national-security tech. What we offer Mission impact: Direct contribution to nationally strategic programmes with tangible outcomes. Growth runway: Sponsored certifications (DSP, EW, cloud), conference travel and mentoring from senior defence scientists. Cutting-edge lab: Petabyte-scale RF archive, GPU clusters and dedicated SDR testbeds. Competitive package: Market-aligned salary, performance bonus, medical & accident insurance, 30 days paid leave. How to apply Prepare your CV (PDF) and a one-page cover letter describing an RF or large-scale data-pipeline project you’ve handled. Deadline: 11 June 2025 (rolling reviews — apply early for priority). Show more Show less

About Crimson Energy Experts Crimson Energy Experts is a fast-growing engineering and technology firm delivering advanced energy, safety-IoT, and industrial-automation solutions across India. Our 80-plus team of engineers, data scientists, and project managers works on cutting-edge platforms—from smart fire-detection ( REDRAVEN ) to AI-enabled industrial security—helping clients boost efficiency, safety, and sustainability. Join us as we scale new innovations in mechanical systems and expand our product-design capability. The Opportunity As a Mechanical Design Engineer , you will transform industrial-scale concepts into precise, manufacturable plant layouts and mechanical systems that power our smart-energy and safety solutions. Key Responsibilities Plant & System Design: Develop 3-D models, assemblies, and production drawings using CATIA and SolidWorks . Analysis & Optimisation: Conduct structural, thermal, and vibrational FEA in ANSYS ; perform tolerance stack-ups and enforce DFM/DFA best practices. Documentation Ownership: Produce BOMs, GD&T, and engineering change orders to ASME / ISO standards. Prototyping & Industrialisation: Partner with suppliers to build, test, and refine prototypes through to full-scale manufacture. Cross-Functional Collaboration: Interface with electronics, firmware, and project teams to deliver reliable, cost-effective designs on schedule. Qualifications Education: B.Tech in Mechanical Engineering (or equivalent). Experience: 2–3 years of hands-on design work for plants, equipment, or products. Software Expertise: Advanced proficiency in CATIA , SolidWorks , and ANSYS . Technical Skills: Strong command of materials selection, GD&T, and manufacturing processes (CNC, sheet-metal, fabrication). Soft Skills: Excellent communication, problem-solving, and documentation abilities. What We Offer Competitive salary plus annual performance bonus. Comprehensive medical coverage for you and your family. Annual upskilling budget and a clear growth path. Opportunity to influence entire product lifecycles and work on high-impact energy and safety projects.

🧠 NLP Expert – Researcher/Engineer 📅 Experience: 3–4 years 💰 Salary Range: ₹15 – ₹30 LPA About the Role We are seeking an experienced NLP Expert – Researcher/Engineer to lead the design and pretraining of advanced transformer-based language models from scratch using sequential, structured data. This role demands a deep understanding of transformer architectures , strong command over the Hugging Face ecosystem , and the ability to convert complex, real-world time-series or geospatial data into meaningful natural language outputs. You'll be working on cutting-edge applications that require bridging non-traditional inputs with natural language generation in a production-ready environment. Responsibilities Architect and pretrain encoder-decoder transformer models (e.g., BERT, GPT, T5) from scratch using structured, sequential datasets. Design pipelines that convert non-textual data—such as spatial, temporal, or sensor-based signals—into NLP-compatible formats. Build end-to-end systems that generate natural language descriptions, summaries, or narratives from raw structured inputs. Apply rigorous model evaluation strategies and optimize for downstream language generation tasks. Collaborate across functions with data engineers, domain specialists, and product teams to deliver production-ready solutions. Stay abreast of and incorporate the latest research in NLP, pretraining strategies, and model efficiency. Required Skills & Experience 3–4 years of hands-on experience in Natural Language Processing and deep learning . Strong expertise in Transformer-based architectures and foundational NLP theory. Proven experience in pretraining language models from scratch , not just fine-tuning existing ones. Advanced proficiency in Python , with experience in PyTorch , TensorFlow , and the Hugging Face Transformers & Datasets libraries . Familiarity with sequential, time-series, or geospatial data , and how to integrate such data into NLP pipelines. Experience with data preprocessing , including transforming unconventional inputs into model-compatible formats. Strong problem-solving, communication, and cross-functional collaboration skills. Bonus Points For Experience in multimodal modeling (e.g., combining text, time, and spatial inputs). Knowledge of MLOps , model optimization , and deployment workflows . Contributions to open-source NLP projects or publications in peer-reviewed ML/NLP conferences. Why Join Us? This is your opportunity to shape how machines interpret and articulate real-world, structured data through language. If you’re passionate about building from the ground up and redefining what’s possible with NLP, we want to hear from you.