Salary : 60 to 100 LPA Note : Computer Science graduates only apply for this role or they have exceptional work experience with graduation from IITs preferred. Role Overview We are seeking a Backend Developer with strong Python expertise to join our dynamic team. You will contribute to high-impact projects involving quantitative models, risk frameworks, and trade optimization strategies. This role requires hands-on experience in developing scalable systems, building robust databases, and implementing complex algorithms. Key Responsibilities Quantitative Solutions Development : Design and implement quantitative models for portfolio analysis and alpha generation. Develop robust risk models to optimize trade execution and performance. Back-Testing & Data Management : Build comprehensive back-testing infrastructure for strategy validation and performance monitoring. Design and maintain databases with automated updates, anomaly detection, and job monitoring. Custom Data Collection & Analytics : Develop advanced web scrapers for collecting datasets for research and analysis. Create analytics frameworks and interactive dashboards to visualize portfolio performance and research insights. Required Skills Education : Bachelor's Degree in Computer Science or related field. Technical Proficiency 4-6 years of professional software development experience. Strong programming skills in Python with a focus on object-oriented design and algorithms. Proficiency in database technologies (SQL, PostgreSQL). Understanding of system architecture, design patterns, and scalability. Preferred Skills Master's Degree in Computer Science or related field. Experience in software engineering best practices (coding standards, code reviews, testing, source control). Familiarity with cloud services like AWS, Azure, or GCP. Exposure to fintech, quantitative models, or data-driven applications. Knowledge of data visualization tools (Tableau, Power BI) and Python libraries (Pandas, NumPy, Matplotlib) (ref:hirist.tech)
What You'll Work On Develop state-of-the-art time series models for anomaly detection and forecasting in observability data. Design a root cause analysis system using LLMs, causal analysis, machine learning and anomaly detection algorithms. Develop Large Language Models for time series analysis Create highly scalable ML pipelines for real-time monitoring and alerting. Build and maintain ML Ops workflows for model deployment, evaluation, monitoring, and updates. Build frameworks to evaluate AI agents. Handle large datasets using Python and its ML ecosystem (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, Statsmodels). Use Bayesian methods, Granger causality, counterfactual analysis, and other techniques to derive meaningful system insights. Collaborate with other teams to deploy ML-driven observability solutions in production. What We're Looking For 5+ years of hands-on experience in Machine Learning, Time Series Analysis, and Causal Analytics. Bachelors degree in Computer Science, Mathematics or Statistics. Masters or PhD is a plus Strong proficiency in Python and libraries like Scikit-Learn, TensorFlow, PyTorch, Statsmodels, Prophet, or similar. Deep understanding of time-series modeling, forecasting, and anomaly detection techniques. Expertise in causal inference, Bayesian statistics, and causal graph modeling. Experience in ML Ops, model evaluation, and deployment in production environments. Working knowledge of databases and data processing frameworks (SQL, Spark, Dask, etc.). Experience in observability, monitoring, or AI-driven system diagnostics is a big plus. Background in AI Agent evaluation and optimization is a plus. Working with LLMs, fine-tuning LLMs, LLM Ops, LLM Agents is a big plus Our Values Loyalty & Long-term Commitment - We invest in people who invest in us. Opinionated yet Open-Minded - We value strong perspectives but encourage constructive discussions. Passion - We seek individuals who are passionate about their craft. Humility & Integrity - Honest, transparent, and accountable team members are key. Adaptability & Self-Sufficiency - Ability to thrive in a fast-paced and evolving environment. Build Fast and Break Fast - We believe in rapid iteration and learning from failures. What You'll Work On You will be instrumental in building the next-generation Observability platform for automated Root Cause Analysis using LLMs, Machine Learning algorithms. You will be innovating on building LLMs for time series analysis. You'll have the opportunity to work with an experienced team, gain deep insights into how startups are built, and be at the forefront of disruptive innovation in Observability. Comp - upto 2Cr+ (ref:hirist.tech)
QA Engineering Manager Job Title : QA Engineering Manager Location : NCR (Gurgaon - Head Office) Type : Full-Time Compensation : Up to 25 LPA About The Role Were looking for an experienced QA Engineering Manager to lead quality initiatives across dynamic and fast-paced engineering teams. These teams work on a diverse range of products from complex internal business platforms (covering domains such as sales, inventory, finance, and operations) to highly engaging consumer-facing applications. In this role, you'll take complete ownership of quality engineering including test automation strategy, quality sprints, triaging, support workflows, and long-term quality roadmaps. You'll be responsible for mentoring and scaling a high-performing QA/SDET team, and for cultivating a strong quality-first mindset across the organization. You'll also be instrumental in driving shift-left practices, enabling earlier and more effective testing through robust frameworks, tools, and processes. Your leadership will ensure reliable, high-quality releases through structured decision-making and close collaboration with product and engineering teams. Key Responsibilities Lead the QA function across multiple product teams, defining the quality roadmap and execution plans. Design and implement test automation frameworks and tools for web, mobile, and backend systems. Drive quality best practices across SDLC including test planning, risk assessment, and automation coverage. Build and mentor a team of QAs and SDETs; foster a culture of learning, ownership, and continuous improvement. Collaborate with cross-functional teams (product, design, engineering, support) to ensure product quality at every stage. Identify, prioritize, and resolve quality issues efficiently; oversee support-related escalations and RCA workflows. Promote adoption of CI/CD pipelines and shift-left testing strategies. What Makes You a Strong Fit 3+ years of experience in a QA leadership role (QA Lead, QA Manager, SDET Lead/Manager), ideally within the e-commerce or consumer tech space. Demonstrated experience in managing and scaling quality teams and driving a quality roadmap from scratch. Hands-on expertise in designing and implementing automation tools for both business platforms and consumer-facing products. Strong interpersonal and communication skills, with the ability to align stakeholders across technical and non-technical functions. Bonus Points For Prior experience working with ERP platforms such as Odoo, ERPNext, or similar. Proficiency in Python, Flutter, PostgreSQL, and working knowledge of cloud platforms like AWS or GCP. Deep understanding of modern test automation tools and frameworks such as Selenium, Playwright, or similar. Background from Tier 1 technology companies or high-growth startups. Why Join Us? Be part of one of the fastest-growing sectors in India the pet care industry. Work in a dynamic, collaborative environment where innovation and ownership are valued. Join a mission-driven organization that blends technology, creativity, and compassion. Opportunity to make meaningful contributions to products that directly impact families and their furry companions. Enjoy a supportive, inclusive, and pet-friendly workplace. Perks & Benefits Comprehensive health insurance A pet-friendly, open, and collaborative work culture Real ownership of your projects and career path A chance to work on impactful challenges at scale (ref:hirist.tech)
Role : Path Planning and Motion Control Lead Location : Gurgaon / Pune Experience : 5+ years Type : Full-Time About The Company We are a fast-growing robotics startup developing intelligent navigation and control systems for autonomous mobile platforms. Our focus is on delivering high-performance, real-world deployable robotics solutions powered by world-class engineering and deep domain expertise. Role Overview We are looking for a Path Planning and Motion Control Lead to develop and lead the motion stack that drives our robots. This includes high-efficiency planners, safe obstacle avoidance, and smooth trajectory generation in complex : Architect global and local path planning systems (A-, RRT-, DWA, etc.). Develop trajectory optimization and control modules (e.g., MPC, PID). Interface closely with SLAM, perception, and hardware teams. Ensure stability, responsiveness, and safety under real-world constraints. Build test frameworks and simulate performance edge : Strong expertise in motion planning, control systems, and path smoothing. Practical experience with control theory and robotics middleware (ROS, Gazebo). Proficient in C++, Python, and relevant planning libraries. Demonstrated success in deploying navigation stacks on real Qualifications : Graduates from Tier-1 institutions preferred. A Masters or PhD in Robotics, Controls, or a related field is an added : 5 to 9 years (ref:hirist.tech)
Product Technical Lead (AI Platform) 📍 Location: Chandigarh/Mohali 💼 Compensation: Up to ₹40 LPA + ESOPs 🎓 Tier-1 grads preferred About the Role We’re looking for a Product Technical Lead to drive the technical direction of our AI-powered chatbot platform. This is a strategic leadership role where you’ll bridge the gap between product vision and engineering execution—guiding teams, shaping system architecture, and building scalable, high-performance systems used globally. You’ll work closely with Product Managers, AI engineers, and cross-functional stakeholders to turn bold ideas into intelligent automation solutions. This role is ideal for someone who thrives in fast-paced environments, enjoys technical challenges, and is excited about shaping the future of conversational AI. What You'll Do Lead technical architecture and roadmap planning for the core platform. Collaborate with Product Managers to align vision with execution. Design and develop major system components including automation workflows, analytics, and multi-agent support. Define product-level architectural patterns and ensure scalable system design. Evaluate and integrate LLMs, AI agents, and other automation tools. Drive engineering best practices: clean code, documentation, security, and performance. Conduct code reviews and low-level design discussions. Build backend APIs and ensure seamless frontend integration. Support QA and Customer Success teams with technical debugging and RCA. Foster a culture of mentorship, collaboration, and continuous improvement. Monitor system performance and proactively implement optimizations. Document APIs, development processes, and troubleshooting protocols. What We’re Looking For Experience & Education 5+ years of software engineering experience, including 2+ years in a technical leadership role. Bachelor's degree in Computer Science, IT, or a related field. Candidates from Tier-1 institutes are preferred. Technical Skills Expertise in scalable system design and product architecture. Hands-on with MEAN or MERN stack technologies. Experience designing robust APIs and backend systems. Strong grasp of cloud infrastructure (AWS), containerization (Docker, Kubernetes). Familiarity with AI/ML systems and integration patterns. Proficiency in Git-based version control and tools like Notion or Jira. Soft Skills Strategic thinker with strong communication and leadership skills. Passionate about mentoring and team development. Highly analytical and proactive problem solver. Why Join Us? Own and lead the architecture of a fast-growing, global AI platform. Be part of a cutting-edge product transforming conversational automation. Work in a collaborative, learning-first environment with top-tier engineers. High-growth trajectory with a path to VP/CTO based on performance. Exposure to international clients and impactful real-world projects. Flexible work culture that supports innovation and work-life balance. Competitive compensation: Up to ₹40 LPA + ESOPs. Interested in shaping the future of AI automation? Let’s talk Apply - https://lnkd.in/gmiuttZ5