Senior-Automation tester

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.

We Are Hiring at Brainayan!

Who We Are:

Brainayan is a dynamic People Development Company, catering to clients such as

Google, Facebook, Netflix, Grab, Viacom 18, Tonic, Deloitte, We Work, Sumo Logic,

Cred Avenue, Lenskart, BHTC, Vymo, Scaler, Uber, TikTok, Hone, Zepto, App Dynamics,

Piramal, Xiaomi, and many more. We design and deliver customized workshops and

organizational development initiatives to meet our clients’ unique talent development

needs. Our key services include:

• Leadership & Manager Development Programs

• Organizational Development Interventions

• Experiential Learning

• Training OCsites & Leadership Retreat Meets

• Leadership & Executive Coaching

• Innovative Tech Solutions

Innovation is at our core—we're always exploring new ways to engage participants and

build tech-driven solutions to support behavior change. Our passion lies in creating

impactful, tailored learning experiences that drive growth and transformation.

About the Role:

We're seeking a passionate and experienced Learning & Development Expert who

excels in every aspect of L&D—from needs analysis and content design to facilitation

and pre/post program evaluation. This role is for someone who thrives on providing

strategic client consultations, writing compelling articles for our website, leading

innovative research projects, and collaborating closely with our sales and tech teams.

Experience Range: 5-10 years

Salary Range: Up to 15 LPA (can be renegotiated for exceptional candidates)

Key Responsibilities:

• L&D Mastery: As an L&D expert, you know what it takes to deliver impactful

training. You’ll bring your expertise across a range of topics, from meeting

management to leadership development, creating and delivering content with

agility.

• Content Innovator: Translate complex research and books into actionable,

simple learning materials that resonate with participants.

• HR Insight: Leverage a nuanced understanding of the HR function to consult on

various talent management areas, driving real results for clients.• Engaging Facilitator: Ebectively connect with diverse audiences, from interns to

C-suite leaders, making each interaction valuable and meaningful.

• Collaborative Partner: Demonstrate exceptional collaboration and stakeholder

management skills, ensuring seamless cross-functional teamwork.

Required Qualifications:

• Educational Background: A degree in psychology (IO/OB) is highly desirable. An

additional HR qualification or relevant experience would be a strong plus.

• Certifications: L&D certifications are a bonus.

• Learning Agility: You adapt quickly, absorb new information ebortlessly, and

thrive in a fast-paced environment.

• Passion for L&D: Your enthusiasm for all things L&D sets you apart. You’re

always looking for ways to make learning experiences more engaging and

impactful.

Position: Sales Counter Executive

Number of Positions: 15-18

Location: Cuttack

Salary: ₹10,000 - ₹12,000 per month (In Hand)

Job Summary

As a Sales Counter Executive, you will be the face of Bishandayal Jewellers. Your primary role is to welcome customers, understand their needs, and guide them through our exquisite collection of jewellery, ensuring an exceptional and trustworthy shopping experience.

Key Responsibilities

• Customer Engagement: Warmly greet and attend to all customers entering the showroom.
• Sales & Presentation: Present and showcase jewellery (gold, diamond, silver, etc.) in an appealing and secure manner.
• Product Knowledge: Learn and clearly explain product details, including weight, purity (karat), and craftsmanship, to customers.
• Understanding Needs: Actively listen to customer requirements (e.g., for weddings, gifts, personal use) and suggest suitable items.
• Counter Management: Ensure the cleanliness, safety, and proper display of jewellery at your counter.
• Customer Service: Handle customer queries with patience and politeness, building trust and a strong rapport.
• Security: Adhere strictly to all store security and inventory handling procedures.

Required Qualifications & Skills

• Qualification: Minimum 12th Pass.
• Experience: Freshers are strongly encouraged to apply.
• Skills:
• Excellent interpersonal and communication skills (Odia, Hindi).
• A polite, professional, and patient demeanor.
• A high degree of honesty and integrity (essential for this role).
• Well-groomed and professional appearance.
• Eagerness to learn about jewellery and sales.

RELEASE MANAGER

Bangalore/Pune

Full Time

We are seeking a collaborative, organized, process and detail oriented Release manager to drive high quality, on-time deployment of quarterly product releases by designing, implementing and executing effective release management processes in a collaboration with global Engineering, Operations, Product Management, services and Technical Support teams.

Responsibilities

•  Managing risks and resolving challenges that impact release scope, quality, and
• schedules
• Planning release windows and cycles across portfolios, components
• Managing relationships working on interrelated processes
• Communicating crucial release plans and changes
• Measuring and monitoring progress to achieve a timely software release within
• defined budgetary limits and defined quality standards
• Producing deployment, implementation, and run books plans
• Conducting release readiness and milestone reviews
• Maintaining release schedules for every core service and ensuring it aligns with major vendors and other stakeholder. Qualifications
• Mid-Senior: 7-12+ years of experience
• Experience as a release manager leading a substantial feature/product in the enterprise
• space
• Curiosity to learn + Extreme ownership + EQ/interpersonal skills
• Enjoys streamlining complex engineering processes and wants to gain mastery ∙
• Excellent written and verbal communication skills
• Excellent analytical skills
• Structured thinking
• Experience in coordinating cross-functional work teams up to task completion.

We have a passion for excellence. We love what we’re doing and have fun doing it. We value great minds, but we’re also humble enough to rally around the best solution, regardless of whose idea it was. We appreciate talent, and we are always on the lookout for the right people to join us. dial for info nine one zero one four double three eight one two.

We are looking for an experienced Senior Software Engineer (Integrations) to contribute to PriceLabs' ambitious plans. We have an existing product that's being used by thousands of customers worldwide and are looking to upgrade our design and launch new features that will serve customers worldwide.

What you will learn at PriceLabs:

Scaling:

• We currently exchange tens of millions of prices between us and our partners multiple times every day! As we continue to grow, designing our architecture to keep working seamlessly is going to need a lot of teamwork 
• Doubling in size every year brings unique scaling challenges. Our product started with one single server doing everything needed, but over time we've created a fairly distributed architecture of micro-services. Ensuring our systems continue to provide the same level of service with twice the number of customers next year teaches us (and you!) forward thinking!

Fundamentals:

• We have a very strong emphasis on fundamentals - writing code in strict memory requirements, setting up a server from scratch, being able to use open source services (like nginx, mysql, linux servers, redis, rabbitmq) to get the best performance out sets our team up for long term success.
• Implementing to the standards of operating systems, working in a thread safe/unsafe environment.
• Understand how servers interact with each other in a data center. How does nginx and unicorn power the communication for our APIs.

Customer-centric engineering:

• Making a product that needs to work for both single home-owners as well as enterprise customers to property management businesses - we're on a journey towards design and process thinking to ensure systems are easy to use. Expect strong collaboration with customer facing, design and data science teams!

New products:

• We have a lot of ground level infrastructure available for us to build new products for both our customers and our industry partners to use. Architecting these systems from scratch is a joy in itself (our team has done this a few times!)

Amazing team:

• Our engineering team is very focused on getting things done, and getting them done the right way so the last long! Write better code everyday, solving customer and co-worker pain points, and learning from our peers is what keeps us going!

Responsibilities:

• You will work with Ruby, we are a RoR platform so understanding how ruby interacts with database would be ideal but not preferred.
• Build new integrations with property management systems (PMS) and also maintain existing ones.
• Understand nuances of downstream systems and design and architect your solution keeping in mind third party systems
• Talk to existing PMS and understand what new features can be incorporated and what existing features need to be updated.
• Fix issues that break and keep a track of daily status and understand inefficiencies.
• Engage with PMS partners and optimise the existing pipeline.
• Continuous improvement to our web stack, set standards, automate mundane tasks

Requirements:

• 4+ years experience in back end web development and understanding Ruby would be great but not mandatory.
• You should be comfortable working with git, visual studio code(or any IDE that you prefer) and test your own code thoroughly before making a PR.
• Ability to architect and develop systems so it can connect seamlessly with PMS and third party systems.
• Ability to understand Message queues and how a pub-sub system works with multiple servers
• Experience in building distributed systems that integrate with RESTful APIs and SOAP XMLs.

Required Experience : 2 to 6 Years

Technical Skillsets Required :