sales executive

Job Overview:

We are looking for a passionate and skilled React.js Developer with 1-2 years of experience in front-end development. The ideal candidate will be responsible for developing and maintaining web applications using React.js while ensuring high performance, responsiveness, and seamless user experiences.

Key Responsibilities:

• Develop and maintain responsive web applications using React.js.
• Collaborate with designers and backend developers to implement UI/UX designs.
• Optimize components for maximum performance across multiple devices and browsers.
• Work with RESTful APIs and integrate third-party services.
• Troubleshoot and debug application issues.
• Maintain clean, scalable, and reusable code following industry best practices.
• Participate in Agile development processes, including scrum meetings and sprint planning.

Required Skills:

• Strong proficiency in React.js, JavaScript (ES6+), HTML, and CSS.
• Knowledge of Redux, Context API, or other state management libraries.
• Experience with RESTful APIs and asynchronous programming.
• Familiarity with Git version control.
• Understanding of responsive design and cross-browser compatibility.
• Basic knowledge of Node.js (preferred but not mandatory)

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.

Are you someone who loves writing sharp, persuasive content? Do you enjoy crafting messages that feel like they were written just for one person — because they were? Are you excited to be part of a fast-moving team trying to win our first 100 customers in a space that hasn't seen real innovation in decades?

If yes, this is your chance to own storytelling, content, and outbound GTM for a construction AI startup built by second-time founders.

🔧 What You’ll Do (Day to Day)

You’ll work directly with the founders to build and scale our go-to-market engine from zero to one:

• Write cold emails that get responses — tailored, trade-specific, and rooted in real-world context
• Research potential buyers deeply — LinkedIn, job descriptions, project pages, and tech stacks
• Craft outreach sequences and storytelling hooks for specific personas (Estimators, Precon Managers, PMs)
• Author GTM content: email templates, case studies, landing page copy, value props, and 1-pagers
• Help shape our narrative: What problem are we solving? Why now? Why us?
• Coordinate outreach campaigns via email, LinkedIn, and niche construction networks
• Track responses, refine messaging, and learn fast from what doesn’t work
• Become an industry-native writer — your content will reflect how construction professionals think, talk, and decide

This is not a generic marketing internship. This is the front line of company building — where storytelling meets strategy and writing drives revenue.

What We’re Looking For

• Strong writing skills — especially crisp, persuasive copy in plain English
• Research ability — can you dig deep and find sharp personalization angles?
• Curiosity — you'll need to learn the language of a new industry quickly
• Ambition — you want to grow into a core GTM role, not just “do tasks”
• Grit — you’ll face silence and rejection before you see replies and deals

osition: Team *Leader 

Shift Timing: 10 AM to 7PM 

Monday to Saturday (Remote)

Company: JNJ Technologies & Services LLP - https://www.jnjservices.co.in 

Location: Vijayawada, Andra Pradesh

Language: English & Hindi 

Salary: according to your previous experience and market standards 

We are looking for a result-driven Team Leader to be responsible for monitoring and 

supervising a team of consultants to achieve the organization’s objectives and increase 

sales. You will be responsible for providing guidance, instruction, training, and leadership 

skills to inspire the team to perform at their optimum. You should create a cohesive team 

that works efficiently together to maximize the sales team's potential.

Requirements:

• A bachelor's or associate's degree in marketing, sales, or a related field may be 

advantageous.

• Experience in sales is necessary.

• Strong sales ability, business acumen, and commercial awarenes

Company Description

VOIZ is a tele-jobs marketplace that specializes in providing fully outsourced tele-jobs for small, medium, and large companies. With 25K active work-from-home agents and over 300 clients served, VOIZ offers efficient and reliable tele-job solutions.

Job Description

The candidate's primary responsibility is to engage with the provided leads, collect pertinent information, identify opportunities to pitch for appointments, and schedule them for a rapidly growing interiors company.

Company: VOIZ (voizworks.com)

Location: Work from home

Experience: Outbound Sales/Pre sales experience - 6 Months to 1 Year.

Language : Should be fluent in English and Hindi/Tamil/Kannada/Gujarati/Assamesse.

Looking for immediate joiners with prior experience in cold calling/Outbound sales

Salary: 18k to 20k / Variable pay upto 2k and uncapped incentive upto 8k could be easily earned

Shift 10:00 am - 07:00 pm

Week off - 1/Rotational (Tue-Friday as Saturday , Sunday and Monday will be Mandatory working days)

Need aggressive people willing to do 200-250 calls and pre sales

Job Type: Full-time

Work Location: Remote

Dear Candidates,

Greetings from AxionConnect.

This is Shweta from the recruitment team of AxionConnect.

As per your profile on the job portal, currently, we have openings for SAS professionals.

• Experience in SAS development.
•   Should have strong experience on Base SAS.
•   Should have strong experience in SQL.
•   Should have experience in Data Integration Studio (must have).
•   Should have strong experience in Enterprise guide.
•   Should have good communication skills.
•   Exposure to BASE SAS, SAS MACROS, SAS Advance, and SAS Enterprise Guide.
•   Banking or financial reporting experience.

Primary Skills

• SAS DI Studio (SAS Data Integration Studio) (Mandatory)

• SAS Eg (Enterprise Guide)

Experience: 3-5yrs

Location: Mumbai (onsite)

We, at GlobalShiksha, are on a mission to Make Learning Fun for the K-12 segment by delivering high-quality, affordable supplementary educational products. The GlobalShiksha team of 150+ people works out of offices in Bengaluru. We're backed by the top investor of the world, Accel Partners. Founded in 2011 by an IIT Graduate, GlobalShiksha is among the top five Ed-tech companies of India and has the trust of 1 million parents.

Job Summary

• The candidate must be able to communicate effectively since the job involves coordinating with clients, couriers, and other operational departments.
• The candidate must ensure that quality assurance checks are completed and maintained.
• A Candidate is responsible for monitoring deliveries, ensuring customer satisfaction, and maintaining accurate logs of all transportation and goods.
• Preparation of Non-Delivery Report.
• Should have sound knowledge of Microsoft Excel (advanced), Microsoft word, MIS, maintaining and updating trackers.
• The candidate should be fluent in Hindi, English, and regional languages.

Responsibilities and Duties

• Logistic Management
• Warehousing
• Courier Management
• Verification and Customer Support
• Team Management

• Quick & Excellent Problem solving skills for complex & large scale problems
• Exposure to a wide variety of problem spaces, technologies
• Very Strong System design and OO skills with a nifty ability to craft clean interfaces and operate at the right levels of abstraction
• Solid coding skills with ability to drive teams through massive refactoring exercise & improve coding standards across large code bases
• Deep knowledge, understanding & experience of working with a large variety of multi-tier architectures.
• Awareness of pitfalls & use cases for a large variety of solutions
• Deep understanding & experience of high performance web scale & real-time response systems with experience & expertise in a variety of large scale persistent systems including large databases
• Exposure to complete product development cycles - From inception to production to scaling up, supporting new requirements, re-architectures the Principle architects should have seen it all and ideally in multiple cycles.
• Should have been part of scalable product development cycles with either large data handling or large transaction processing exposure for 5 years
• Must have worked in a small setup (either a startup or a small & reasonably independent team)
• 8+ years of overall experience
• B Tech or higher in Computer Science or equivalent required