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.,
About the Role Location: New Delhi / Gurugram, India Availability: Hybrid (2–3 days on-site/week) with overlap to customer time zones (US/Australia) as needed. Function: Customer Onboarding, Operations & Servicing Reports to: COO Works with: Onboarding, Operations, Data science, Dev & Sales Teams As the Project manager for customer onboarding & operations you will own the end-to-end onboarding for new enterprise customers and ensure stable, value-visible onboarding and operations post go-live. Turn our stage-gated delivery into a ClickUp-automated operating system—reducing time to first data/insight, keeping data within SLOs, and making business impact visible at Monthly & Quarterly Business Reviews (MBRs & QBRs). Combine program management, OT/IT integration coordination (OSIsoft PI, Honeywell PHD/IP.21, OPC UA/MQTT), and hands-on ClickUp administration to run a repeatable “onboarding factory.” Key Outcomes / Success Metrics On-time delivery: ≥ 90% milestones met; schedule variance 90% with +10% per quarter On-time rhythms: weekly updates ≥ 95% , MBR/QBR inputs to COO on time ≥ 98% . Customer value-add dashboard: ROI logs 100% complete for live sites each month; expansion briefs triggered on schedule. Key Deliverables: Project charter, GANTT, stakeholder map & communication plan. Onboarding templates Operations templates Own Mechademy’s Experience List Operations health dashboard Own customer value-add dashboard Validation/back testing plan with acceptance criteria. Go-live checklist & handoff plan; formal handoff package to Customer Support / RML Team. Responsibilities: Program/Project Delivery Build the stage-gated onboarding plan for each customer, milestones, critical path; own RAID and change control. Define onboarding scope, acceptance criteria, and success metrics per asset class (turbines; centrifugal / reciprocating / screw compressors). Enforce entry/exit criteria for each stage and inculcate a “show the artifact” discipline. Run kaizen cycles on bottlenecks (5-Whys) Develop a data-driven problem-solving methodology (DMAIC - Define, Measure, Analyze, Improve, and Control) Publish SOP updates and measure deviations. Run weekly stage-gate review; unblock risks within 24 hours via escalations. Design methodologies to monitor alert backlog/lifecycle. ClickUp Workspace Architecture & Automation (hands-on) Design Spaces/Folders/Lists for stage gates, onboarding tracker, velocity measurement Design methodologies to feed QBR content, feed ROI tracker. Create ClickUp templates with custom fields, workflows and artifacts links. Create Automations: auto-assign on stage entry; SLA due dates; mandatory compliance rules; auto-move when checklist=100%; recurring tasks. Design onboarding dashboards: Go-live time, Time to first insight, Stage aging, Automation % Design operations dashboards: MEAT, MTRSR, Customer value-add. Create Integrations: ClickUp ticketing, Slack alerts, SharePoint links as needed. Coordinate Integrations & Data Readiness Manage dependencies (customer side, data engineering, SME availability); maintain critical path. Coordinate data flow from customer’s historian (PI, PHD/IP.21, OPC UA/MQTT) and internal data engineering. Coordinate access prerequisites (whitelisting, certificates, service accounts) and data quality checks (tags, units, gaps). Manage access register for customer’s data and services. Ensure integration documentation is up to date. Setup & Configuration (Onboarding Factory) Enforce checklists/peer reviews/config reviews. Partner with Security/GRC on customer questionnaires and ISO27001/SOC2 evidence in scope. Run on-boarding sprints and daily stand-ups Run onboarding/expansion customer check-ins. Lead go-live readiness, formal acceptance, and 30-day post-go-live hypercare. KPI Definition, Tracking & Reporting Define KPIs and keep dashboards updated. Publish weekly ops summary and MBR packs Coordinate QBR inputs with COO/CSM/AE. Stakeholder & Customer Rhythm Own the RACI; chair daily/weekly standups; maintain a decision/action tracker; publish schedule burn-down and risk posture; keep meetings decision oriented. Coordinate training/enablement; ensure clean handoffs to Remote Monitoring/CS. Audit weekly/bi-weekly customer alert review calls Align CSMs/AEs and client champions on ROI inputs, timelines and outcomes; manage changes vs SOW. Documentation & Enablement Maintain SOPs/templates/runbooks. Enable team on ClickUp usage, dashboards, automation hygiene. Experience 5–8 years in project/program management in enterprise software implementations; industrial analytics/IIoT/APM preferred. ClickUp/Jira/equivalent power-user & admin (templates, automations, dashboards, permissions, integrations). Proven experience in stakeholder management with external customers; strong change control & SOW hygiene, process design (stage gates, RACI, SLAs); risk management (critical path, dependencies, escalations). Data-driven; pro spreadsheet skills. Excellent communication & stakeholder management. Bonus: industrial data protocols, industrial automation, reliability management, or Oil & Gas context. Preferred Qualifications Bachelor’s in engineering (Mechanical/Instrumentation/Electrical/Chemical/Industrial) or Operations/Industrial Engineering/Management. PMP/Prince2/CSM a plus; not mandatory if experience shows equivalent rigor. Tools Planning & docs: Whimsical, ClickUp, Miro/Visio. Delivery tracking: ClickUp (primary), RAID logs. Collaboration: Slack/Teams, OneDrive/SharePoint; Git for config versioning (optional). Workflow automation: N8N, GenAI (must have agentic AI skills) Soft Skills Strong ownership and independence Excellent written and verbal communication Passion for automation, processes, and learning Ability to communicate with both technical and non-technical audiences Precision-driven approach to project management, ensuring every process is planned, tracked, measured and scalable About Mechademy Mechademy is a next-generation prescriptive analytics company serving leading industrial giants. Our flagship product, Turbomechanica, transforms raw Industrial IoT sensor data into actionable, real-time insights through a powerful diagnostics engine that blends Physics-based Models, Machine Learning, Generative AI, and Large Language Models (LLMs). By leveraging Agentic AI workflows, Turbomechanica not only diagnoses equipment problems early but also recommends prescriptive actions, reducing downtime and enabling predictive maintenance at scale. With our mission-critical monitoring solutions, reliability, accuracy, and client trust remain at the core of everything we build. As we continue to scale, we are investing in a world-class process driven engineering function to ensure resilience, speed, and confidence across our product ecosystem, enabling the future of AI-driven industrial reliability management. More about us: 45 employees and growing Multi-national team with employees based in India and the United States Venture-funded and ready to close Series A funding round Billion-dollar customers like Berkshire Hathaway, Chevron, SM Energy, and Freeport LNG (among others) Subject-matter expertise of one of the world’s foremost Turbomachinery experts provides invaluable learning and mentoring opportunities What We’re Looking For Are you ready to push boundaries and create impact? We're looking for innovative, analytical thinkers with a passion for leveraging cutting-edge technology to solve complex challenges. You’re an ideal candidate if you: Thrive in a fast-paced environment with the freedom to experiment, adopt new tools, and help shape technological choices as the product evolves. Are highly motivated, driven, and committed to excellence. Are eager to drive transformation with an entrepreneurial mindset and a strong desire to learn Are a builder and problem-solver who relishes taking ownership, adapting quickly, and making an impact. Enjoy being part of a dynamic, energetic team that knows how to celebrate success Why Mechademy? Kickstart your career with a company that’s fun, innovative, and shaping the future of the oil and gas industry. Mechademy is where cutting-edge predictive analytics meets a culture of collaboration and creativity. We’re not your typical start-up company – we thrive on solving complex challenges with technology, fostering growth, and making an impact. Whether you're diving into groundbreaking projects, learning from industry leaders, or enjoying team outings, you’ll feel valued and inspired every step of the way. Work on groundbreaking technology that is shaping the future of rotating equipment diagnostics. Relish a challenging, dynamic role with opportunities for individual contributions that direct impact on the success of the company. Grow into a leadership position as Mechademy grows. Generous compensation to help you achieve financial stability. What We Offer Opportunity to build scalable processes for a company serving Fortune 500 clients. A collaborative environment with engineering, product, and customer success teams solving hard problems. Competitive compensation, performance incentives, and professional growth opportunities. At Mechademy, your ideas matter, your growth is our priority, and your future starts now.
About the Role Location: New Delhi / Gurugram, India Availability: Hybrid (2–3 days on-site/week) with overlap to customer time zones (US/Australia) as needed. Function: Customer Onboarding, Operations & Servicing Reports to: COO Works with: Onboarding, Operations, Data science, Dev & Sales Teams As the Project manager for customer onboarding & operations you will own the end-to-end onboarding for new enterprise customers and ensure stable, value-visible onboarding and operations post go-live. Turn our stage-gated delivery into a ClickUp-automated operating system—reducing time to first data/insight, keeping data within SLOs, and making business impact visible at Monthly & Quarterly Business Reviews (MBRs & QBRs). Combine program management, OT/IT integration coordination (OSIsoft PI, Honeywell PHD/IP.21, OPC UA/MQTT), and hands-on ClickUp administration to run a repeatable “onboarding factory.” Key Outcomes / Success Metrics On-time delivery: ≥ 90% milestones met; schedule variance 90% with +10% per quarter On-time rhythms: weekly updates ≥ 95% , MBR/QBR inputs to COO on time ≥ 98% . Customer value-add dashboard: ROI logs 100% complete for live sites each month; expansion briefs triggered on schedule. Key Deliverables: Project charter, GANTT, stakeholder map & communication plan. Onboarding templates Operations templates Own Mechademy’s Experience List Operations health dashboard Own customer value-add dashboard Validation/back testing plan with acceptance criteria. Go-live checklist & handoff plan; formal handoff package to Customer Support / RML Team. Responsibilities: Program/Project Delivery Build the stage-gated onboarding plan for each customer, milestones, critical path; own RAID and change control. Define onboarding scope, acceptance criteria, and success metrics per asset class (turbines; centrifugal / reciprocating / screw compressors). Enforce entry/exit criteria for each stage and inculcate a “show the artifact” discipline. Run kaizen cycles on bottlenecks (5-Whys) Develop a data-driven problem-solving methodology (DMAIC - Define, Measure, Analyze, Improve, and Control) Publish SOP updates and measure deviations. Run weekly stage-gate review; unblock risks within 24 hours via escalations. Design methodologies to monitor alert backlog/lifecycle. ClickUp Workspace Architecture & Automation (hands-on) Design Spaces/Folders/Lists for stage gates, onboarding tracker, velocity measurement Design methodologies to feed QBR content, feed ROI tracker. Create ClickUp templates with custom fields, workflows and artifacts links. Create Automations: auto-assign on stage entry; SLA due dates; mandatory compliance rules; auto-move when checklist=100%; recurring tasks. Design onboarding dashboards: Go-live time, Time to first insight, Stage aging, Automation % Design operations dashboards: MEAT, MTRSR, Customer value-add. Create Integrations: ClickUp ticketing, Slack alerts, SharePoint links as needed. Coordinate Integrations & Data Readiness Manage dependencies (customer side, data engineering, SME availability); maintain critical path. Coordinate data flow from customer’s historian (PI, PHD/IP.21, OPC UA/MQTT) and internal data engineering. Coordinate access prerequisites (whitelisting, certificates, service accounts) and data quality checks (tags, units, gaps). Manage access register for customer’s data and services. Ensure integration documentation is up to date. Setup & Configuration (Onboarding Factory) Enforce checklists/peer reviews/config reviews. Partner with Security/GRC on customer questionnaires and ISO27001/SOC2 evidence in scope. Run on-boarding sprints and daily stand-ups Run onboarding/expansion customer check-ins. Lead go-live readiness, formal acceptance, and 30-day post-go-live hypercare. KPI Definition, Tracking & Reporting Define KPIs and keep dashboards updated. Publish weekly ops summary and MBR packs Coordinate QBR inputs with COO/CSM/AE. Stakeholder & Customer Rhythm Own the RACI; chair daily/weekly standups; maintain a decision/action tracker; publish schedule burn-down and risk posture; keep meetings decision oriented. Coordinate training/enablement; ensure clean handoffs to Remote Monitoring/CS. Audit weekly/bi-weekly customer alert review calls Align CSMs/AEs and client champions on ROI inputs, timelines and outcomes; manage changes vs SOW. Documentation & Enablement Maintain SOPs/templates/runbooks. Enable team on ClickUp usage, dashboards, automation hygiene. Experience 5–8 years in project/program management in enterprise software implementations; industrial analytics/IIoT/APM preferred. ClickUp/Jira/equivalent power-user & admin (templates, automations, dashboards, permissions, integrations). Proven experience in stakeholder management with external customers; strong change control & SOW hygiene, process design (stage gates, RACI, SLAs); risk management (critical path, dependencies, escalations). Data-driven; pro spreadsheet skills. Excellent communication & stakeholder management. Bonus: industrial data protocols, industrial automation, reliability management, or Oil & Gas context. Preferred Qualifications Bachelor’s in engineering (Mechanical/Instrumentation/Electrical/Chemical/Industrial) or Operations/Industrial Engineering/Management. PMP/Prince2/CSM a plus; not mandatory if experience shows equivalent rigor. Tools Planning & docs: Whimsical, ClickUp, Miro/Visio. Delivery tracking: ClickUp (primary), RAID logs. Collaboration: Slack/Teams, OneDrive/SharePoint; Git for config versioning (optional). Workflow automation: N8N, GenAI (must have agentic AI skills) Soft Skills Strong ownership and independence Excellent written and verbal communication Passion for automation, processes, and learning Ability to communicate with both technical and non-technical audiences Precision-driven approach to project management, ensuring every process is planned, tracked, measured and scalable About Mechademy Mechademy is a next-generation prescriptive analytics company serving leading industrial giants. Our flagship product, Turbomechanica, transforms raw Industrial IoT sensor data into actionable, real-time insights through a powerful diagnostics engine that blends Physics-based Models, Machine Learning, Generative AI, and Large Language Models (LLMs). By leveraging Agentic AI workflows, Turbomechanica not only diagnoses equipment problems early but also recommends prescriptive actions, reducing downtime and enabling predictive maintenance at scale. With our mission-critical monitoring solutions, reliability, accuracy, and client trust remain at the core of everything we build. As we continue to scale, we are investing in a world-class process driven engineering function to ensure resilience, speed, and confidence across our product ecosystem, enabling the future of AI-driven industrial reliability management. More about us: 45 employees and growing Multi-national team with employees based in India and the United States Venture-funded and ready to close Series A funding round Billion-dollar customers like Berkshire Hathaway, Chevron, SM Energy, and Freeport LNG (among others) Subject-matter expertise of one of the world’s foremost Turbomachinery experts provides invaluable learning and mentoring opportunities What We’re Looking For Are you ready to push boundaries and create impact? We're looking for innovative, analytical thinkers with a passion for leveraging cutting-edge technology to solve complex challenges. You’re an ideal candidate if you: Thrive in a fast-paced environment with the freedom to experiment, adopt new tools, and help shape technological choices as the product evolves. Are highly motivated, driven, and committed to excellence. Are eager to drive transformation with an entrepreneurial mindset and a strong desire to learn Are a builder and problem-solver who relishes taking ownership, adapting quickly, and making an impact. Enjoy being part of a dynamic, energetic team that knows how to celebrate success Why Mechademy? Kickstart your career with a company that’s fun, innovative, and shaping the future of the oil and gas industry. Mechademy is where cutting-edge predictive analytics meets a culture of collaboration and creativity. We’re not your typical start-up company – we thrive on solving complex challenges with technology, fostering growth, and making an impact. Whether you're diving into groundbreaking projects, learning from industry leaders, or enjoying team outings, you’ll feel valued and inspired every step of the way. Work on groundbreaking technology that is shaping the future of rotating equipment diagnostics. Relish a challenging, dynamic role with opportunities for individual contributions that direct impact on the success of the company. Grow into a leadership position as Mechademy grows. Generous compensation to help you achieve financial stability. What We Offer Opportunity to build scalable processes for a company serving Fortune 500 clients. A collaborative environment with engineering, product, and customer success teams solving hard problems. Competitive compensation, performance incentives, and professional growth opportunities. At Mechademy, your ideas matter, your growth is our priority, and your future starts now.
Company Description Mechademy is a pioneering company combining decades of expertise in turbomachinery with cutting-edge machine learning algorithms through its IoT platform, Turbomechanica®. The platform leverages data from numerous sources to identify operational anomalies and optimize performance, supported by advanced AI and physics-based performance models. With targeted algorithms addressing specific use cases like performance degradation, machine vibrations, and gas contamination, Turbomechanica® has identified issues previously missed by other monitoring solutions. Its remote monitoring ensures operational reliability, reducing costs and enhancing machine efficiency for clients. Role Description We’re looking for an SDE-2 Full-Stack Engineer (4–7 yrs) who thrives at the intersection of tech and AI — fluent in JavaScript (React) and Python (Django) , and excited to ship production-ready code that powers intelligent diagnostics and automation. You’ll collaborate with Product, Data, and ML teams to build scalable APIs, dynamic UIs, and integrate AI-driven features — including GenAI and Agentic AI assistants that augment industrial decision-making. If you love solving real-world problems with clean code and curiosity, we’d love to meet you. Qualifications Strong foundation in Computer Science and knowledge of core programming concepts Familiarity with full-stack development, experience in Front-End and Back-End Web Development, Software Development, and implementing scalable solutions Proficiency in Programming and Object-Oriented Programming (OOP) and Low level Design. Strong understanding of System Design, Distributed Systems, Understanding of SQL/NoSql Databases Understand concurrency concepts — multithreading, multiprocessing, and asynchronous execution . Excellent problem-solving skills and the ability to debug complex systems effectively Bachelor's degree or higher in Computer Science, Engineering, or a related field Ability to work in a hybrid work environment with strong organizational skills
Company Description Mechademy combines decades of expertise in Turbomachinery with advanced machine learning algorithms to power its IoT platform, Turbomechanica®. By analyzing data from multiple sources, the platform identifies anomalies and flags sub-optimal operations through advanced AI and physics-based performance models. These models provide deep insights into machine health and performance, addressing use cases such as performance degradation, machine vibrations, and motor insulation health. By detecting issues overlooked by other providers, Turbomechanica® ensures operational reliability and significant cost savings for clients. Mechademy is dedicated to revolutionizing industrial monitoring with innovative technology and targeted solutions. Role Description We’re looking for an Software Engineering Manager (9–13 yrs) to lead a cross-functional team across backend, Fullstack engineers, data, and ML and AI engineering — while staying hands-on with system design, concurrency, DevOps, and performance engineering . You’ll architect and scale high-throughput systems that blend AI, ML, and domain expertise — transforming raw sensor data into actionable insights. This is a hybrid role based in Gurugram, offering flexibility for some work-from-home days. Qualifications Proficiency in Software Development and Software Design Experience in Team Leadership and Leading Delivery Strong knowledge of System Design, Distributed Systems and scalable architecture Strong problem-solving skills and knowledge of Low level Design Proficiency in either of these Java, Go, Python, JavaScript/TypeScript Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields Excellent communication and organizational skills
Company Description Mechademy combines decades of expertise in Turbomachinery with advanced machine learning algorithms to power its IoT platform, Turbomechanica®. By analyzing data from multiple sources, the platform identifies anomalies and flags sub-optimal operations through advanced AI and physics-based performance models. These models provide deep insights into machine health and performance, addressing use cases such as performance degradation, machine vibrations, and motor insulation health. By detecting issues overlooked by other providers, Turbomechanica® ensures operational reliability and significant cost savings for clients. Mechademy is dedicated to revolutionizing industrial monitoring with innovative technology and targeted solutions. Role Description We’re looking for a Lead Engineer (7–12 yrs) — a hands-on technical leader who loves building distributed systems, designing scalable architectures, and bringing ideas from whiteboard to production. You’ll work across Python, Go, JavaScript , collaborating with Product, ML, and Data teams to power our reliability intelligence platform. You’ll architect and scale high-throughput systems that blend AI, ML, and domain expertise — transforming raw sensor data into actionable insights. If you’re passionate about system design, concurrency, and performance , and want to help shape a platform trusted by enterprises worldwide — we’d love to meet you. Qualifications Proficiency in Software Development and Software Design Experience in Team Leadership and Leading Delivery Strong knowledge of System Design, Distributed Systems and scalable architecture Strong problem-solving skills and knowledge of Low level Design Proficiency in either of these Java, Go, Python, JavaScript/TypeScript Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields Excellent communication and organizational skills