Site Reliability Engineer

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

Meet the Team: Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.

Role Overview: This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:

● Drive complex backend architecture initiatives that span across multiple engineering and technology domains.

● Lead strategic R&D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide. ● Spearhead our Multi-Cloud & Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.

What our ideal candidate may look like:

● 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.

● A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.

● Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.

● In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support

● Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.

● Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.

● Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.

● Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.

● Proven experience mentoring engineers and guiding architectural decisions at scale.

What We Offer

● Opportunity to lead large, high-impact projects for global Fortune 500 clients.

● Work in a high-growth startup environment with a flat, collegial culture.

● Best-in-class remuneration and benefits.

● A platform for personal and professional growth with ownership and autonomy.

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Associate AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 5+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Role & responsibilities

1. Develop and maintain native Android applications using Kotlin and Java.

2. Familiarity with RESTful APIs to connect Android applications to back-end services

3. Work with APIs, third-party libraries and Familiarity with MVC, MVVM.

4. Proficient in code versioning tools including GitHub and Gitlab.

5. Familiarity with push notifications,and cloud messaging.

6. Identifying potential problems and resolving application bugs.

7. Fixing application bugs before the final release.

8. Publishing application on Play Store.

9. Maintain code quality and Ensure the performance, quality, and responsiveness of applications.

10. Collaborate with cross-functional teams for seamless integration.

11. Stay up to date with the latest industry trends and technologies.

Preferred candidate profile

• Minimum 3+ Years of Android Developer Experience or Created an App Before.
• Strong knowledge of Kotlin and Java.
• Experience with Jetpack Compose, Android Jetpack Components, Room, and Coroutines.
• Experience with UI/UX Designing, RESTful APIs and third-party libraries.
• Understanding of agile development methodologies.
• Strong problem-solving and debugging skills.
• Excellent communication and teamwork abilities.
• Knowledge of Firebase Integration is an added advantage.
• Previous experience in fintech industry considered as plus point.

Perks and benefits

• Competitive Salary and Professional development opportunities and training.
• Opportunity to work with cutting-edge technologies in a fast-paced environment.
• Collaborative and supportive work environment.

Are you passionate about gaming? Join our team and dive into the world of esports! We're looking for gamers of all levels to participate in free matches on our esports platform. Whether you're a casual player or a seasoned pro, there's a place for you here. 

Requirements:

• Minimum 100 hours of gaming experience. 
• Ability to work in a team and communicate effectively with other players. 
• Enthusiasm for gaming and a willingness to learn and grow. 

Responsibilities:

• Participate in free matches on the esports platform for 1-3 hours daily.
• Collaborate with other players to improve skills and achieve better results.

Benefits:

• Salary: $100 - $300 depending on performance. 
• Flexible work schedule, work from home. 
• Possibility of temporary employment on a contract basis. 
• Opportunities for advancement and development in the esports industry.

🎮 Gaming exp: 100+ hrs

💵 Salary: $100-$300

🏠 Remote: work from home 

🗓 Schedule: self-managed 

Roles & Responsibilities:-

• Discuss training plans with customers to build custom courses to suit their needs.
• Maintain records of training activities, participant progress, and program effectiveness.
• Develop programs and processes that provide a service to industry, business, students, and/or other external/internal clients.
• Serve as technical assistant or point of contact with customer until 'go live' date and hand-off to support.
• Update course documentation as needed to ensure timeliness and relevance.
• Has a mix of being a technical instructor, a solution architect, and an evangelist.
• Coordination of training schedules to ensure the most efficient use of resources.
• Work in tandem with peers in technical training to develop best in class training department across all areas of training.
• Responsible for lectures, demonstration, discussion, and related instructional delivery methods.
• Deliver standard and customized training based on field needs and the delivery of new product and technology training in support of field readiness.
• Help to create, test, and review new and existing courseware.
• Build relationships with OCI product development teams to understand roadmaps and plan for content updates or new training offerings.
• Keep informed of and maintain proficiency with all company products.
• Coordinate logistics for instruction events, including scheduling classes reserving classrooms, travel arrangements and preparing workstations.

Skills

• Teaching
• Adaptability
• Public speaking
• Active listening
• Communication

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! https://www.happyfox.com/

We’re looking for a Senior Backend Engineer to join our engineering team to help build and maintain our growing list of products. You should have prior experience being responsible for building sufficiently complex features by yourself.

Responsibilities: 

• Implement product features by writing clean, robust, reusable code with tests
• Conduct peer reviews to keep the codebase a great environment to work on
• Collaborate with Product Managers, Designers and Engineers to deliver high-quality features
• Bring new ideas and best practices to improve the team and the codebase

Requirements:

• 5+ years of professional work experience
• Proficiency in backend programming languages like Python
• Experience working with web application frameworks like Django
• Experience in building web services using relational databases like PostgreSQL or NoSQL databases like MongoDB
• Proficiency in writing highly performant and scalable code
• Experience in building REST APIs and a good understanding of best practices around building APIs
• Good communication skills with an ability to articulate your views
• Excellent analytical and problem-solving skills

• Own development, design, scaling and maintenance of application and messaging engines that power the central platform of Capillary's Cloud CRM product. 
• Contribute to overall design and roadmap.
• Mentor Junior team members.

Required Skills:

• Innovative and self-motivated with passion to develop complex and scalable applications.
• 3-5 years of experience in software development with strong focus on algorithms and data structures.
• Strong coding and design skills with prior experience in developing scalable & high availability applications using Core Java/J2EE, Spring, Hibernate. 
• Work experience with Relational databases is required (Primarily MySQL)
• Prior work experience with Non-Relational databases (primarily Redis, MongoDb) is an added plus.
• Strong Analytical and Problem Solving Skills.
• BTech