Multiprocessing. Multithreading. Async. You learned about them in school. But do you really know when — and why — to use each? What’s the right approach when you’re juggling millions of tasks — part CPU-bound, part I/O-bound? How do you decide what to optimize for? And how do the answers shift when you’re using Python, Node.js, Rust, or C++? Can you talk about this for an hour — and still be excited? If yes, skip the resume. Just ping me directly — we’ll figure it out from there. At Mechademy , we’re hiring Senior Software Engineers who love deep tech problems, not just syntax — engineers who know that “best solution” is subjective, context-heavy, and way more nuanced than asking ChatGPT and hoping for the best. Come help us build systems that scale — and deal with the kind of real-world mess that makes engineering fun. #Hiring #SoftwareEngineering #SystemsDesign #Python #Rust #Nodejs #Scalability #Mechademy Show more Show less

Senior Data Scientist — Gen AI/ML Expert Location: Hybrid — Gurugram Company: Mechademy – Industrial Reliability & Predictive Analytics About Mechademy At Mechademy, we are redefining the future of reliability in rotating machinery with our flagship product, Turbomechanica . Built at the intersection of physics-based models, AI, and machine learning , Turbomechanica delivers prescriptive analytics that detect potential equipment issues before they escalate, maximizing uptime, extending asset life, and reducing operational risks for our industrial clients. The Role We are seeking a talented and driven Senior Data Scientist (AI/ML) with 3+ years of experience to join our AI team. You will play a critical role in building scalable ML pipelines, integrating cutting-edge language models, and developing autonomous agent-based systems that transform predictive maintenance is done for industrial equipment. This is a highly technical and hands-on role, with strong emphasis on real-world AI deployments — working directly with sensor data, time-series analytics, anomaly detection, distributed ML, and LLM-powered agentic workflows . What Makes This Role Unique Work on real-world industrial AI problems , combining physics-based models with modern ML/LLM systems. Collaborate with domain experts, engineers, and product leaders to directly impact critical industrial operations. Freedom to experiment with new tools, models, and techniques — with full ownership of your work. Help shape our technical roadmap as we scale our AI-first predictive analytics platform. Flexible hybrid work culture with high-impact visibility. Key Responsibilities Design & Develop ML Pipelines: Build scalable, production-grade ML pipelines for predictive maintenance, anomaly detection, and time-series analysis. Distributed Model Training: Leverage distributed computing frameworks (e.g. Ray, Dask, Spark, Horovod) for large-scale model training. LLM Integration & Optimization: Fine-tune, optimize, and deploy large language models (Llama, GPT, Mistral, Falcon, etc.) for applications like summarization, RAG (Retrieval-Augmented Generation), and knowledge extraction. Agent-Based AI Pipelines: Build intelligent multi-agent systems capable of reasoning, planning, and executing complex tasks via tool usage, memory, and coordination. End-to-End MLOps: Own the full ML lifecycle — from research, experimentation, deployment, monitoring to production optimization. Algorithm Development: Research, evaluate, and implement state-of-the-art ML/DL/statistical algorithms for real-world sensor data. Collaborative Development: Work closely with cross-functional teams including software engineers, domain experts, product managers, and leadership. Core Requirements 3+ years of professional experience in AI/ML, data science, or applied ML engineering. Strong hands-on experience with modern LLMs (Llama, GPT series, Mistral, Falcon, etc.), fine-tuning, prompt engineering, and RAG techniques. Familiarity with frameworks like LangChain, LlamaIndex , or equivalent for LLM application development. Practical experience in agentic AI pipelines : tool use, sequential reasoning, and multi-agent orchestration. Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and at least one deep learning framework (TensorFlow, PyTorch, or JAX). Exposure to distributed ML frameworks (Ray, Dask, Horovod, Spark ML, etc.). Experience with containerization and orchestration (Docker, Kubernetes). Strong problem-solving ability, ownership mindset, and ability to work in fast-paced startup environments. Excellent written and verbal communication skills. Bonus / Good to Have Experience with time-series data, sensor data processing, and anomaly detection. Familiarity with CI/CD pipelines and MLOps best practices. Knowledge of cloud deployment, real-time system optimization, and industrial data security standards. Prior open-source contributions or active GitHub projects. What We Offer Opportunity to work on cutting-edge technology transforming industrial AI. Direct ownership, autonomy, and visibility into product impact. Flexible hybrid work culture. Professional development budget and continuous learning opportunities. Collaborative, fast-moving, and growth-oriented team culture. Health benefits and performance-linked rewards. Potential for equity participation for high-impact contributors. Note: Title and compensation will be aligned with the candidate’s experience and potential impact. Show more Show less

We’re not just filling a position - we’re looking for a trailblazer. If you thrive on solving complex problems, pushing boundaries, and making a tangible impact, this is your calling. As a Rotating Equipment Engineer, you'll be at the heart of our routine operations, and driving innovation on the Turbomechanica platform. From collaborating with customers to leading cutting-edge technical initiatives, you'll be instrumental in shaping the future of predictive analytics and contributing Mechademy’s continued success. Responsibilities Review and analyze live customer plant data and flag issues with machines, and/or diagnose the cause of equipment alerts. Collaborate with stakeholders and subject matter experts to troubleshoot complex equipment issues and deliver actionable recommendations. Work with subject matter experts to build & test new physics-based assets on Mechademy's Turbomechanica platform Collaborate with the engineering team to drive diagnostics on the platform. Use a data driven approach to improve the reliability and availability of critical equipment. Act as a trusted advisor to our customers, helping diagnose and solve complex issues with rotating equipment. Serve as a technical authority during customer meetings, showcasing Mechademy’s expertise and innovation. Collaborate with the software development team, the data science team and the remote monitoring team to improve software features and diagnostic accuracy based on field feedback. Drive process improvements and standardization in diagnostic workflows and reporting practices. Embrace the dynamic nature of a startup by contributing to a variety of initiatives as needed. Qualifications Bachelor’s degree in Mechanical Engineering or a related discipline 3-5 years of industrial experience with significant hands-on exposure to rotating equipment, including compressors, pumps, gas turbines, and steam turbines Strong expertise in root cause analysis, fault detection, and troubleshooting of rotating equipment Ability to review and understand P&IDs, PFEs, PFDs, and HMBDs. Solid understanding of core engineering principles, particularly in thermodynamics and fluid mechanics Working knowledge of vibration analysis and rotor dynamics Familiarity with physics-based performance models and their integration with AI or data-driven models Excellent communication and interpersonal skills, with a collaborative mindset Proficiency in Python programming language is a strong plus Proficient in applying machine learning algorithms and data analytics to assess and enhance equipment performance is a plus Experience with IoT platforms and real-time monitoring tools such as System 1, SCADA, DCS, or OSIsoft PI - is a strong advantage

As a Rotating Equipment Engineer at our company, you will play a crucial role in our daily operations by driving innovation on the Turbomechanica platform. Your problem-solving skills, willingness to push boundaries, and desire to make a significant impact will be invaluable in shaping the future of predictive analytics and contributing to our continued success at Mechademys. Your main responsibilities will include monitoring and analyzing live customer plant data to identify equipment issues, troubleshooting complex problems in collaboration with experts, and supporting the development of assets on the Turbomechanica platform. You will work closely with the engineering team to enhance diagnostic capabilities, apply data-driven methods to improve machinery reliability, and provide expert guidance to customers on equipment diagnostics. Additionally, you will represent our technical leadership in customer engagements, collaborate with various teams to refine features and boost diagnostic accuracy, and lead efforts to streamline diagnostic processes and reporting practices. Your role will also involve contributing flexibly across various initiatives, reflecting the fast-paced and evolving environment of a startup. To be successful in this role, you should hold a Bachelor's degree in Mechanical Engineering or a related discipline and have 4-5 years of industrial experience with rotating equipment, including compressors, pumps, gas turbines, and steam turbines. You must possess strong expertise in root cause analysis, fault detection, and troubleshooting, as well as a solid understanding of core engineering principles, thermodynamics, fluid mechanics, vibration analysis, and rotor dynamics. Familiarity with physics-based performance models and their integration with AI or data-driven models will be beneficial. Excellent communication and interpersonal skills are essential, along with proficiency in Python programming language and the ability to apply machine learning algorithms and data analytics to assess and enhance equipment performance. Experience with IoT platforms and real-time monitoring tools such as System 1, SCADA, DCS, or OSIsoft PI will be advantageous. Join us in this exciting opportunity to be a trailblazer in the field of Rotating Equipment Engineering at Mechademys.,