Mobile Automation Testing

Job Title: Senior AI/ML Engineer/Team Lead

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 4-9 Years

CTC: Up to 15LPA

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 Senior 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:
• 4+ 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.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

Job Title: Tele Caller (Bengali Language)

Location: Thane

Openings: 2

Job Description:

We are hiring experienced Tele Callers with a strong sales background. The candidate will be responsible for making outbound calls, explaining products/services to customers, and closing sales. Maintaining proper follow-ups and achieving assigned targets will be part of the role.

Key Responsibilities:

Make outbound sales calls to customers

Explain products/services clearly and confidently

Handle customer queries and objections

Achieve daily and monthly sales targets

Maintain call records and follow-ups

Requirements:

Graduation is mandatory

Experience in sales/telecalling background required

Fluent in Bengali (mandatory)

Good communication and convincing skills

Salary:

₹35,000 to ₹40,000 take-home per month

Preferred Candidate:

Immediate joiner

Target-oriented and self-motivated

Our Mission

To make video as accessible to machines as text and voice are today.

At lookup, we believe the world's most valuable asset is trapped. Video is everywhere, but it's unsearchable—a black box of insight that no one can open or atleast open affordably. We’re changing that. We're building the search engine for the visual world, so anyone can find or do anything with video just by asking.

Text is queryable. Voice is transcribed. Video, the largest and richest data source of all, is still a black box. A computer can't understand it, and so its value remains trapped.

Our mission at lookup is to fix this.

About the Role

We are looking for founding Backend Engineers to build a highly performant, reliable, and scalable API platform that makes enterprise video knowledge readily available for video search, summarization, and natural‑language Q&A. You will partner closely with our ML team working on vision‑language models to productionize research and deliver fast, trustworthy APIs for customers.

Examples of technical challenges you will work on include: distributed video storage, a unified application framework and data model for indexing large video libraries, low‑latency clip retrieval, vector search at scale, and end‑to‑end build, test, deploy, and observability in cloud environments.

What You’ll Do:

• Design and build robust backend services and APIs (REST, gRPC) for vector search, video summarization, and video Q&A.
• Own API performance and reliability, including low‑latency retrieval, pagination, rate limiting, and backwards‑compatible versioning.
• Design schemas and tune queries in Postgres, and integrate with unstructured storage.
• Implement observability across metrics, logs, and traces. Set error budgets and SLOs.
• Write clear design docs and ship high‑quality, well‑tested code.
• Collaborate with ML engineers to integrate and productionize VLMs and retrieval pipelines.
• Take ownership of architecture from inception to production launch.

Who You Are:

• 3+ years of professional experience in backend development.
• Proven experience building and scaling polished WebSocket, gRPC, and REST APIs.
• Exposure to distributed systems and container orchestration (Docker and Kubernetes).
• Hands‑on experience with AWS.
• Strong knowledge of SQL (Postgres) and NoSQL (e.g., Cassandra), including schema design, query optimization, and scaling.
• Familiarity with our stack is a plus, but not mandatory: Python (FastAPI), Celery, Kafka, Postgres, Redis, Weaviate, React.
• Ability to diagnose complex issues, identify root causes, and implement effective fixes.
• Comfortable working in a fast‑paced startup environment.

Nice to have:

• Hands-on work with LLM agents, vector embeddings, or RAG applications.
• Building video streaming pipelines and storage systems at scale (FFmpeg, RTSP, WebRTC).
• Proficiency with modern frontend frameworks (React, TypeScript, Tailwind CSS) and responsive UI design.

Location & Culture

• Full-time, in-office role in Bangalore (we’re building fast and hands-on).
• Must be comfortable with a high-paced environment and collaboration across PST time zones for our US customers and investors.
• Expect startup speed — daily founder syncs, rapid design-to-prototype cycles, and a culture of deep ownership.

Why You’ll Love This Role

• Work on the frontier of video understanding and real-world AI — products that can redefine trust and automation.
• Build core APIs that make video queryable and power real customer use.
• Own systems end to end: performance, reliability, and developer experience.
• Work closely with founders and collaborate in person in Bangalore.
• Competitive salary with meaningful early equity.

A Telesales Representative job description typically involves making outbound calls to potential and existing customers to promote products or services, building relationships, and ultimately closing sales. They are responsible for meeting sales targets, handling customer inquiries, and providing excellent customer service over the phone. 

Here's a more detailed breakdown of the responsibilities and skills involved:

Responsibilities:

• Outbound Calling: Contacting potential and existing customers to present products or services, often using sales scripts. 
• Sales Target Achievement: Meeting or exceeding individual and team sales quotas. 
• Customer Relationship Management: Building rapport with customers, understanding their needs, and providing solutions to encourage repeat business. 
• Product Knowledge: Developing a comprehensive understanding of the company's products and services to effectively address customer inquiries. 
• Lead Generation: Identifying and qualifying potential leads for the sales team. 
• Order Processing: Accurately processing customer orders and ensuring timely delivery. 
• Customer Service: Addressing customer inquiries, resolving complaints, and providing support. 
• Record Keeping: Maintaining accurate records of calls, sales, and customer information. 
• Collaboration: Working with other members of the sales team to achieve overall sales goals and strategies. 
• Market Research: Staying informed about industry trends, competitors, and customer feedback. 

Required Skills:

• Communication Skills: Excellent verbal communication, active listening, and persuasive skills. 
• Interpersonal Skills: Ability to build rapport, empathize with customers, and create positive relationships. 
• Sales Skills: Ability to identify customer needs, present solutions, and close sales. 
• Negotiation Skills: Ability to handle objections and resolve customer issues. 
• Time Management: Ability to manage a high volume of calls and prioritize tasks effectively. 
• Resilience: Ability to handle rejection and maintain a positive attitude. 
• Product Knowledge: Understanding of the products or services being offered. 
• CRM Proficiency: Familiarity with customer relationship management (CRM) software. 
• Technical Skills: Proficiency in using phone systems and other relevant

1. Vendor Outreach: Initiate outbound calls to vendors, introducing the e-commerce platform, and establishing or maintaining relationships.
2. Order Confirmation: Communicate with vendors to confirm orders, ensuring accurate product details, quantities, and delivery timelines.
3. Issue Resolution: Address and resolve any issues related to orders, payments, or product discrepancies by liaising between vendors and internal teams.
4. Feedback Collection: Gather feedback from vendors regarding their experiences with the e-commerce platform, identifying areas for improvement.
5. Contractual Agreements: Communicate and ensure vendors adhere to contractual agreements, including pricing, terms, and conditions.
6. Inventory Management: Coordinate with vendors to manage and update inventory information, ensuring product availability and accuracy on the platform.
7. New Vendor Onboarding: Assist in the onboarding process for new vendors, providing necessary information and documentation requirements.
8. Payment Follow-Up: Follow up on payment-related issues, ensuring timely and accurate processing of vendor payments.
9. Performance Tracking: Monitor vendor performance metrics, identifying trends and areas for improvement, and providing feedback to vendors.
10. Market Intelligence: Gather information on industry trends, competitor activities, and market conditions to provide insights for vendor management strategy.

Requirements:

1. Communication Skills: Excellent verbal communication skills, with the ability to convey information clearly and professionally.
2. Relationship Building: Strong interpersonal skills to build and maintain positive relationships with vendors.
3. Problem-Solving: Ability to identify and solve problems efficiently, especially in the context of order discrepancies or vendor-related issues.
4. Detail-Oriented: Attention to detail is crucial, particularly when confirming orders, managing inventory, and reviewing contractual agreements.
5. Negotiation Skills: Basic negotiation skills to ensure mutually beneficial terms with vendors.
6. Time Management: Efficiently manage time to handle multiple vendor interactions and tasks simultaneously.
7. Tech-Savvy: Comfortable using e-commerce platforms, CRM systems, and other tools relevant to vendor management.

Job Title: React Native Mobile Developer ( 4+ years experience) 

Are you passionate about shaping the future of technology and being a part of a dynamic team of developers? Do you thrive in challenging and innovative environments, ready to take on the responsibility of spearheading cutting-edge projects? If so, we have an exciting opportunity for you! 

Job Description: 

We are seeking an experienced React Native Developer with over 4 years of experience to join our dynamic team. The ideal candidate will have a strong background in mobile development, particularly with React Native, and a passion for creating high-quality, scalable applications. You will play a key role in the development and maintenance of our cross-platform mobile applications, ensuring seamless integration with our web solutions and a superior user experience.

Key Responsibilities:

• Mobile Development: Develop, maintain, and optimize React Native applications for both iOS and Android platforms.

• Integration: Work closely with back-end developers to integrate mobile applications with APIs and other services.

• Collaboration: Collaborate with cross-functional teams, including UI/UX designers, product managers, and other developers, to deliver a cohesive product experience.

• Performance Optimization: Ensure the performance, quality, and responsiveness of applications by identifying bottlenecks and implementing solutions.

• Code Reviews: Conduct code reviews and ensure adherence to coding standards, best practices, and company guidelines.

• Testing: Write and maintain unit and integration tests to ensure the reliability and robustness of the application.

• Documentation: Create and maintain technical documentation for code and APIs.

• Stay Updated: Keep up with the latest industry trends and technologies, and continuously improve the development process.

Qualifications:

       •  Education: Bachelor's degree in Computer Science, Software Engineering, or a related field        (or equivalent work experience) 

• Experience: 4+ years of experience in mobile development, with at least 3 years of hands-on experience with React Native.

• Skills: Proficiency in JavaScript and strong experience with React Native, including working with state management libraries (such as Redux or MobX) and navigation libraries.

• Platform Knowledge: Solid understanding of mobile development for both iOS and Android, including platform-specific considerations.

• Performance: Experience with performance optimization techniques for mobile applications.

• Version Control: Familiarity with version control systems (e.g., Git).

• Collaboration: Ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders.

• Problem-Solving: Strong problem-solving skills and attention to detail.

Preferred Skills:

• TypeScript: Experience with TypeScript for type safety and better code maintainability.

• UI/UX Understanding: Familiarity with UI/UX design principles and ability to collaborate effectively with designers.

• Back-End Knowledge: Basic understanding of back-end technologies and APIs to facilitate seamless integration.

• Testing Frameworks: Experience with testing frameworks such as Jest or Mocha.

• CI/CD: Knowledge of continuous integration and continuous deployment (CI/CD) pipelines.

• App Store Deployment: Experience with deploying applications to the Apple App Store and Google Play Store.

Minimum 4 to 14 Years OTM Technical / Functional experience

• Must have functional and techno-functional experience in OTM implementation and/or have supported projects dealing with these systems, and/or have worked on OTM Cloud
• Must have strong technical and functional knowledge of the latest OTM Application
• Must have knowledge of preparing mapping document to interface OTM system with EDI, WMS, order management and finance systems, and be able to translate the functional specifications into design specifications for the Offshore Delivery Centre
• Must have ability to write SQL statements for automation agents and other technical topics
• Hands on experience on JSPX/XSL will be additional advantage.
• Experience in end-to-end OTM life cycle/implementations/up-gradation and OTM architecture will be preferred

• 6+ years of experience working with MongoDB or other NoSQL databases.
• Maintain and configure MongoDB (developer)
• Keep clear documentation of the database setup and architecture.
• Backup and Disaster Recovery management.
• Adept with all the best practices and design patterns in MongoDB for designing document schemas.
• Good grasp of MongoDB’s aggregation framework.
• Ensure that the databases achieve maximum performance and availability.
• Design indexing strategies.
• Configure, monitor, and deploy replica sets.
• Should have experience with MongoDB Atlas.
• Should have minimum experience with development and performance tuning.
• Create roles and users and set their permissions.
• Excellent written, verbal communication skills and critical thinking skills