Product Manager (Evening Shift )

Must Have Skills:

• Overall 10+ years of experience in application development using Golang.
• Experience in designing and developing REST based services / Microservice development.
• Ability to design scalable, robust, and error-tolerant systems.
• Understanding of software architecture and distributed systems.
• Proficient in writing efficient and optimized algorithms under time constraints.
• Skilled in developing solutions that balance performance, readability, and maintainability.
• Ability to effectively communicate coding decisions and rationale during problem-solving discussions.
• Hands-on experience with queuing mechanisms such as Kafka or RabbitMQ.
• Candidates should be adaptable and eager to quickly learn and integrate into the existing tech stack if they lack direct experience.
• Candidate should have good communication skills (written and verbal).
• Experience with delivering projects in an agile environment using SCRUM methodologies.

Good to have:

• Experience to AWS, CI/CD, DevOps.
• Experience using container management tools such as Kubernetes, Docker and Rancher.
• Any one of these data store Cassandra, Postgres, Couchbase, or other NoSQL servers.

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.

Job Overview

Experienced Coupa Implementation and Configuration Consultant to lead and support end-to-end implementations of the Coupa Business Spend Management (BSM) platform, including Supplier Information Management (SIM).

The ideal candidate will possess strong Procure-to-Pay (P2P), Source-to-Contract (S2C), and financial process expertise, along with hands-on Coupa configuration and ERP integration experience.

This role requires close collaboration with Finance, Procurement, IT teams, and executive stakeholders to deliver scalable, compliant, and optimized spend management solutions.

Key Responsibilities

Implementation & Roll-Out

• Lead full lifecycle implementation of Coupa BSM modules.
• Drive Business Process Design workshops and requirement gathering.
• Manage global or multi-entity roll-outs.
• Conduct SIT, UAT, and go-live support.

Configuration & Technical Expertise

• Configure Procurement, Sourcing, Contracts, Catalogues, Invoicing, and Expenses modules.
• Manage Supplier Information Management (SIM) and onboarding workflows.
• Configure PR, PO, Receipt, and Invoicing lifecycle.
• Implement approval workflows, compliance controls, and security configurations.
• Handle advanced system configurations and policy enforcement.

Integration & Technical

• Lead API-based integrations between Coupa and ERP systems (SAP / Oracle / Workday, etc.).
• Support data migration, reconciliation, and validation.
• Ensure system performance and compliance alignment.

Reporting & Governance

• Enable spend visibility through dashboards and analytics.
• Support audit controls and procurement governance frameworks.

Required Skills

• Strong hands-on experience in Coupa BSM implementation.
• Expertise in P2P and S2C processes.
• Experience in Supplier Information Management (SIM).
• ERP integration exposure (API-based preferred).
• Business process design and documentation capability.
• Experience in enterprise or multi-country roll-outs.
• Strong stakeholder management skills.
• Coupa certification is mandate

Manual and Automation testing

CICS( MAINFRAME)

TOSCA

SQL and Playwright are desirable

Years of exp – 6+ yrs

Location – Chennai & Pune

Work Mode – 5 days WFO

Notice Period – Immediate Joiners

Responsibilities:

- Collaborate with cross-functional teams including front-end developers, designers, and system administrators to develop robust and scalable server-side applications.

- Design and implement RESTful APIs and services using Node.js, ensuring efficient data handling and integration.

- Develop database schemas and models for MongoDB, optimizing queries and ensuring data integrity.

- Implement data migration and transformation tasks between different data sources.

- Write efficient and reusable code, following best practices and coding standards.

- Conduct thorough testing and debugging of applications to identify and fix issues promptly.

- Collaborate with DevOps team to deploy applications on servers or cloud platforms.

- Continuously monitor application performance and optimize it for scalability and reliability.

- Stay updated on emerging technologies and trends, actively suggesting improvements and innovative solutions.

Requirements:

- Strong proficiency in Node.js and JavaScript.

- Solid understanding of server-side development and asynchronous programming concepts.

- Experience working with NoSQL databases (e.g., MongoDB).

- Knowledge of database design and query optimization techniques.

- Familiarity with web application security principles and best practices.

- Proficiency in using version control systems (e.g., Git).

- Good understanding of agile development methodologies.

- Excellent problem-solving and analytical skills.

- Effective communication and collaboration abilities.

Responsibilities

• Design and implement Azure BI infrastructure, ensure overall quality of delivered solution 
• Develop analytical & reporting tools, promote and drive adoption of developed BI solutions 
• Actively participate in BI community 
• Establish and enforce technical standards and documentation 
• Participate in daily scrums  
• Record progress daily in assigned Devops items 

Ideal Candidates should have

• 5 + years of experience in a similar senior business intelligence development position 
• To be successful in the role you will require a high level of expertise across all facets of the Microsoft BI stack and prior experience in designing and developing well-performing data warehouse solutions 
• Demonstrated experience using development tools such as Azure SQL database, Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure DevOps. 
• Experience with development methodologies including Agile, DevOps, and CICD patterns 
• Strong oral and written communication skills in English 
• Ability and willingness to learn quickly and continuously 
• Bachelor's Degree in computer science 

• 💰  Early-stage, ed-tech, funded, growing, growing fast.
• 🎯  Mission Driven: Make Indonesia competitive on a global scale.
• 🥅  Build the best educational content and technology to advance STEM education 
• 🥇  Students-First approach

• ❤️  Love what we do
• 🎮  Committed to making learning fun, accessible, and safe 
• 🤝  Teams are better. We value ownership, responsibility, transparency
• 🌏  Global, diverse backgrounds. Been there, done that.

• CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
• You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
• You’re exploring what Data Science can do for the students, parents, teachers, educators.
• You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
• The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
• You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.

• Highly-skilled and experienced Data Scientist and leader
• You are interested in creating next-gen data-powered education tech products. 
• You’ve worked in a Data Science role before where you took a data product to market
• You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
• You’ve built platforms and systems from scratch
• You have a track record of developing and deploying data-science models to production

• End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
• Deep Learning and Computer Vision models, ideally in a production environment
• Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc. 
• Experience in Scala/Java/Go/C/C++ is a plus plus
• Airflow/Luigi/Oozie and the likes
• Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale

• B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
• 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
• Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams 
• Experience developing a data science strategy, building the roadmap, and leading the execution
• Track record of recruiting talent in analytics and data science

• You’ve won algorithm and machine learning competitions such as ACM and Kaggle
• You have research publications and citations in top tier journals 
• You have a portfolio of side projects and can show it to us

• Assessment of product requirements
• Definition of test strategy, test methods, acceptance criteria, etc.
• Development of automated tests
• Development of new test cases and conversion of manual test cases into reliable and repeatable automated tests
• Execution of the SW test using automated tools
• Support debugging and improvement of simulation/testing environment
• Development of manual test.
• 4+ years relevant working experience with Coded UI Test or equivalent automated testing using C#
• Execution of manual test on HW / final system
• Preparation of test protocols/test reports and reporting of identified issues
• Investigation of identified issues (root cause analysis, reproducibility steps, etc.)
• Collaboration with other functions (development, system engineering, QA) to define the appropriate approach for the above-mentioned activities
• Documentation on relevant tools
• Supporting definition of the project test strategy, project plan, and metrics
• Supporting the definition of process improvement, tools, and laboratory management
• Definition and improvement of test techniques
• Support the Manager for team activities and mentoring other team members
• Facilitate discussion within the team and with other departments

Required Skills

• Technical experience in software testing
• Experience in programming in C# and Visual Studio
• Professional experience with Agile methodologies
• Understanding of API Testing and automated testing frameworks
• Experience in testing on complex hardware
• Ability to derive test cases from requirements
• Ability to work independently while staying aligned with the functional team
• Effective written and spoken communication skills in English
• Bachelor’s or Master´s degree in a related field
• Clinical Chemistry background is a plus
• Preferred experience with the regulated environment (e.g. medical devices)
• Ability to drive activities, facilitate discussions and improve processes
• Ability to work with multi-functional and remote teams
• Attention to detail and result-oriented
• Ability to work independently.