Business Development Associate

Position: E-Commerce Manager

Location: Jaipur

Salary: Up to ₹50,000 per month

Experience Required: 3+ Years

Qualification: Graduate

Working Hours: 9 Hours per Day

6 Days a Week

Job Overview

The E-Commerce Manager will oversee the company’s online sales platforms, drive digital revenue growth, and enhance customer experience. The role involves coordinating with marketing, operations, and logistics teams to optimize website performance, increase conversions, and ensure smooth online operations.

Key Responsibilities

·        Platform Management

Manage day-to-day operations of all e-commerce platforms.

Oversee product listings, catalog management, merchandising, and pricing updates.

Ensure smooth functioning of the website and online marketplaces.

·        Digital Strategy

Collaborate with the marketing team for SEO, PPC, email marketing, and social media campaigns.

Plan and execute strategies to improve online visibility and sales performance.

Monitor competitor activities and market trends.

·        User Experience (UX)

Conduct regular website audits to improve navigation and mobile responsiveness.

Ensure a seamless and user-friendly checkout process.

Optimize customer journey and overall shopping experience.

·        Performance Analytics

Track and analyze KPIs such as conversion rate, bounce rate, traffic, and ROI.

Generate reports and provide data-driven recommendations for improvement.

Use analytics tools like Google Analytics and CRM systems effectively.

·        Inventory & Fulfillment

Coordinate with inventory and logistics teams to maintain stock availability.

Ensure timely order processing and delivery.

Monitor returns, refunds, and customer satisfaction metrics.

Required Skills & Qualifications

·        Proficiency in e-commerce platforms such as Shopify, Magento, WooCommerce, or Salesforce Commerce Cloud.

·        Strong understanding of digital marketing and online merchandising.

·        Experience with Google Analytics, CRM tools, and reporting systems.

·        Knowledge of inventory management and supply chain coordination.

·        Excellent communication, analytical, and problem-solving skills.

Preferred Candidate Profile

·        Strong leadership and coordination abilities.

·        Detail-oriented with a customer-focused mindset.

·        Ability to manage multiple tasks and meet deadlines efficiently.

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!

BDM Cum Operation Manager

Candidate to drives revenue and growth by identifying new opportunities, forging strategic partnerships with travel agencies and corporate clients, and developing effective sales strategies. Key responsibilities include conducting market research, negotiating contracts, building client relationships, and collaborating with internal teams to achieve sales targets and increase profitability. Along with defining and executing business growth strategies, identifying new corporate or inbound travel opportunities, building strong client relationships, developing sales proposals, managing sales pipelines, and collaborating with internal operations teams to ensure client satisfaction and achieve sales targets. Has also done MICE and Corporate empanelment

Key Responsibility

Prospecting and Lead Generation

Strategic Partnerships

Sales Strategy Development

Negotiation and Contracting

Client Relationship Management

Financial Planning

Strategy & Growth

Opportunity Identification

Sales & Proposals

Market Monitoring

Qualification :- 12/15 years of Min experience in Travel Agency.

Understand Sales generation, Business Development and Operations. Reporting to the CEO/Director of the company. Graduate/PostGraduate

Salary : 12-15 Lacs.

Industry: The candidate must be from Travel/tourism Industry only.

Destinations Unplugged Travel Services Pvt Ltd

Phoenix House A, T-8

East Zone, Phoenix Palledium,

462 Senapati Bapat Marg, Mumbai-400 013

Landmark Phoenix Palledium Mall (Lower Parel)Fountain Side entry

Working Days -5 Days

At Dolat Capital, we blend cutting-edge technology with quantitative finance to drive high-performance trading across Equities, Futures, and Options. We're a fast-moving team of traders, engineers, and data scientists building ultra-low latency systems and intelligent trading strategies.

🎯 What You’ll Work On

1. Designing and deploying high-frequency, high-sharpe trading strategies

2. Building low-latency, high-throughput trading infrastructure (C++/Python/Linux).

3. Leveraging AI/ML to detect alpha and market patterns from large datasets

Real-time risk systems, simulation tools, and performance optimization

4. Collaborating across tech and trading teams to push innovation in live markets.

🧠 What We’re Looking For

1. Master’s (U.S.) in CS or Computational Finance (MANDATORY)

2. 1–2 years of experience in a quant/tech-heavy role

3. Strong in C++, Python, algorithms, Linux, TCP/UDP

4. Experience with AI/ML tools like TensorFlow, PyTorch, or Scikit-learn

5. Passion for high-performance systems and market innovation.

We’re looking for someone who doesn’t just collect leads, but actually understands how to find the right ones. You’ll research high-intent prospects, qualify them with a clear logic, and build targeted lists that make outreach easier and more predictable. You’ll run structured campaigns across LinkedIn, cold email, and other channels, while keeping the CRM clean, updated, and usable for the sales team.

What you’ll handle

• Deep research on companies, industries, and decision-makers

• Build segmented, high-accuracy lead lists

• Qualify leads based on relevance, authority, timelines, and potential

• Plan and execute multi-channel outreach sequences

• Refine messaging, subject lines, and connection strategies

• Maintain CRM hygiene and ensure every conversation has a next step

• Track performance data and share insights with the sales team

• Identify new markets, ICP variations, and emerging opportunities

• Collaborate closely with sales and marketing to improve conversions

What we’re looking for

• Strong experience in B2B lead generation, especially for tech, design, or service businesses

• Comfort with LinkedIn search, automation tools, prospecting databases, and email outreach platforms

• Ability to evaluate prospects quickly and filter out poor-fit leads

• Clear writing skills and a good understanding of how to spark interest

• Sharp attention to detail and the discipline to maintain clean data

• Someone who can plan, prioritise, and work independently

• A strategic mindset with a marketing touch is a bonus

What this really means is you’ll be the one shaping the quality of our pipeline. When you do your job well, the sales team gets better conversations, faster cycles, and stronger deals.

Location

Bestech Business Tower, Mohali (this is an onsite role.)

Five-day workweek

Our office operates from 9 am to 2 am across three shifts, so you should be comfortable working within these hours.

Salary

Up to 6 LPA for each role, negotiable based on experience, plus additional incentives for hitting targets.

Job Title: Project cum Sales (Techno-Commercial) – ALC Wall Panels

Experience: Minimum 5 years in ALC wall panels or related industry

Location: Bangalore / Hyderabad / Chennai

Salary: Up to ₹10 LPA (based on experience and fit)

Industry: Building Materials / Construction / Precast Panels

Job Overview:

We are looking for a dynamic and experienced Techno-Commercial Professional to handle project coordination and sales for ALC Wall Panels. The ideal candidate should possess strong technical knowledge of wall panel systems, a proven sales track record, and hands-on project execution experience in the construction or precast industry.

Key Responsibilities:

Sales & Business Development

• Identify and generate business opportunities in residential, commercial, and industrial construction sectors.
• Develop and maintain relationships with architects, builders, contractors, and consultants.
• Conduct product presentations and site demos.
• Prepare and deliver techno-commercial proposals and quotations.
• Drive sales targets and market penetration across assigned regions.

Project Coordination & Execution

• Coordinate end-to-end execution of ALC panel projects: planning, site supervision, installation, and quality control.
• Act as a liaison between the client, design team, and site team to ensure timely execution.
• Manage logistics, delivery schedules, and manpower coordination.
• Provide on-site technical support and resolve issues during installation.

Techno-Commercial Responsibilities

• Evaluate client requirements and offer optimal technical solutions.
• Prepare BOQs, project estimates, and cost sheets.
• Negotiate contracts, payment terms, and commercial agreements.
• Monitor receivables and ensure timely collections.

Key Requirements:

• Bachelor’s degree/Diploma in Civil Engineering or related field.
• Minimum 5 years of experience in ALC wall panels or precast wall panel industry.
• Strong knowledge of construction practices, site execution, and building material sales.
• Excellent communication, presentation, and negotiation skills.
• Willingness to travel within South India as per project and client needs.
• Proficient in MS Office, AutoCAD (basic), and project tracking tools.

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish: 88 O2 74 97 43

Role: Director of Field Sales

About the Role

If you have a flair for the field, you love achieving targets, thrive in managing large teams, enjoy the blend of the chaos & the nuances of data, with a dream to take this from a 12 cr to a 50 Cr team (ARR), then we would love to have a chat with you.

We envisaged this vertical to drive and tap the unlimited potential of the retail market across India. It's a wonderful problem to solve considering the vertical has grown 6X in 12 months.

As the Director of Field Sales, you will be responsible for leading a large sales team and driving revenue growth for the company. You will work closely with the executive team to develop and execute the company's sales strategy, while also managing the day-to-day operations of the sales team.

What you will be doing

● Develop and execute a comprehensive sales strategy that drives revenue growth for the company

● Build and lead a high-performing sales team of 200+ that consistently exceeds sales targets

● Develop and maintain strong relationships with key customers and partners

● Analyze sales data and market trends to identify opportunities for growth

● Manage the sales budget and ensure that all sales activities are aligned with the company's financial

goals

● Develop and implement sales training programs to ensure that the sales team is equipped with the skills

and knowledge needed to succeed

● Ensure that all sales activities are in compliance with company policies and procedures

● Provide regular updates to the executive team on sales performance, market trends, and other key

metrics

What we are looking for

● Someone with 10 + years of experience managing a sales team in product-based start-up

● Someone who has successfully managed field sales of more than 200 people in the past

● Someone who has seen a scale of at least 50 crore net revenue per annum

● Someone who is analytically strong and has a good grip on numbers

You will be responsible for overseeing full-stack development as well as the R&D around creating various, unique, and bespoke solutions.

You should be able to quickly understand and support initiatives that will contribute to the goals and success of operations. You would also be working with various departments to coordinate and develop digital solutions for bespoke in-house software.

RESPONSIBILITIES

• Work with development teams and product manager to implement software solutions.

• Developing front end and back end website Architecture.

• Build user interactions on web pages.

• Develop and manage databases for functionalities.

• Designing and developing effective APIs.

• Test Software to ensure the responsiveness and efficiency of applications.

• Meeting both technical and consumer/client needs.

• Write technical documentation.

• Troubleshoot, debug, and review the code.