Student Success Manager

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 Details

- Job Title: Senior Account Executive (Inside Sales)

- Industry: SAAS

- Function: Sales/Business Development

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Preferred Skills: Excellent Communication Skills, SaaS Sales, lead generation, End to End Sales

Criteria:

6+ years of overall experience with 4 and more years in SaaS sales (mandatory)

Proven experience in inside sales / outbound sales, preferably in APAC markets.

Strong track record of owning end-to-end sales cycle (prospecting u2192 demo u2192 negotiation u2192 closure).

Strong experience in pipeline generation, opportunity management, and accurate forecasting.

Experience delivering product demos and articulating technical features & business value. 

Job Description

What will you create and do?

We are looking for a smart, well-spoken Account Executive with experience in the APAC markets to assist our company in expanding our customer base. The Account Executive’s responsibilities include promoting and selling company products by demonstrating the advanced technical functions of the product as well as its uses and benefits, understanding customer requirements & documenting the same, creating opportunities, submit proposals, negotiate & close deals. To be a successful Account Executive, you must have excellent communication, interpersonal, customer and closing skills. You should also demonstrate the ability to meet deadlines and have strong analytical skills.

Experience Range: Overall 6+ years, 4+ years in SaaS sales

Education Qualification: Graduation

What will qualify you for this role?

Essential:

● Planning and Organization – The ability to establish a process for activities that lead to the implementation of systems, procedures or outcomes

● Results Orientation – The ability to identify actions necessary to complete tasks and obtain results

● Goal Achievement – The overall ability to set, pursue, and attain achievable goals, regardless of obstacles or circumstances

● Flexibility – The ability to readily modify, respond to, and integrate change with minimal personal resistance

● Data Analysis – The ability to read and analyze data

● Customer Focus – Commitment to customer satisfaction.

Desired Skills:

● Interpersonal Skills

● Personal Accountability

● Diplomacy & Tact

● Self-Management

Key Responsibilities:

● Identify and develop new business through networking and prospecting techniques.

● Prepare and deliver customer presentations, including high-level solution overviews and/or demos.

● Understand customers’ business needs and challenges and position the relevant solutions that address those needs.

● Persuade potential buyers that a product or service best satisfies their needs in terms of quality, price, and service delivery while managing customer objections.

● Develop pipeline by using the company’s sales methodology and processes.

● Manage sales opportunities throughout the sales cycle.

● Strong outbound sales experience

● Ensure accurate and timely forecasting and reporting for management visibility.

● Strong knowledge of scientific and technical products.

● Excellent interpersonal skills.

● Create sales literature to promote company solutions, products, and services.

● Demonstrate the technical features and benefits of our products.

● Advise customers on technology upgrades and related products.

● Compose tender documents and customer proposals.

● Generate purchase orders and sales receipts.

● Maintain strong customer relations.

● Attend product training courses and seminars.

● Meet sales targets.

Job Title: Technical Support Engineer

Location: Indore Location (Night Shift)

Job Type: Full time from office only – 5 days in a week

Experience Level: 3+ Years

Job Summary

We are seeking an experienced Technical Support Engineer who can provide advanced technical support while leading and mentoring a team of support engineers. The ideal candidate will combine strong troubleshooting expertise with leadership capabilities to ensure high-quality customer service, efficient issue resolution, and continuous team performance improvement.

Key Responsibilities:

• Provide exceptional technical support through voice and chat, troubleshooting and resolving customer issues related to software and hardware.
• Utilize API knowledge to address technical inquiries and challenges.
• Effectively communicate with customers, offering solutions in a clear, professional, and empathetic manner.
• Maintain accurate and up-to-date technical documentation for internal use and customer reference.
• Collaborate with cross-functional teams to ensure seamless issue resolution and continuous service improvement.
• Utilize support tools, including Salesforce, Jira, and Zoom, to manage customer interactions and service requests.
• Demonstrate strong problem-solving skills and analytical thinking to identify root causes and deliver effective solutions.

Required Skills & Qualifications

• Minimum 2+ years of experience in offshore voice and chat technical support.
• Strong understanding of:
• Software and hardware troubleshooting
• API concepts and integrations
• Hands-on experience with Salesforce, Jira, and Zoom.
• Excellent communication, interpersonal, and stakeholder management skills.
• Strong analytical thinking and problem-solving abilities.
• Ability to work independently in a fast-paced environment.
• Comfortable working night shifts.

#javascript #javascriptdevelopers #nodejs #nodejsdeveloper #mongodb #expressjs #angularjs #angularjsdeveloper #javadeveloper #phyton #phpdeveloper #backenddevelopers #fullstackdevelopers #urgentrequirement DSS Software Solutions Sdn. Bhd.

Outstanding career growth & development opportunities

Competitive salary & work benefit package

Passionate, energetic & innovative work culture

Experience building high-performance, large-scale, distributed server applications.

Experience with any of the back-end programming languages such as JavaScript (NodeJS), Java, C#, Python, PHP, etc.

Commitment to developing clean code that is easy to maintain and enhance strong logical thinking, analytical and problem-solving skills

Candidate must possess at least Diploma/Advanced/Higher/Graduate Diploma, Bachelor's Degree/Post-Graduate Diploma/Professional Degree in Computer Science/Information Technology or equivalent.

Required language(s): English, Mandarin

Preferably Junior Executive specialized in IT/Computer - Software or equivalent.

Preferably candidate with at least 2-year experience in IT/Computer - Software or equivalent.

Responsibilities :

• Design, build, and maintain high performance, reusable, and reliable code

• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Skills :

• Should have 2 - 4+ years of experience in Java
• Hands on experience in designing and building Java application using various frameworks is must
• Experience in Spring, Spring cloud and Spring Boot
• Experience in Angular,SQL,GIT.
• Experience in Maven and Gradle
• Should Possess good knowledge in creating test plans and test strategies.
• Knowledge of implementing various testing methodologies, test automation tools
• Designing and documenting detailed test cases to cover all levels of tests
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly

Education:

• Bachelor's (Required)

Experience:

• total work: 2 -4 years (Required)

Job Types: Full-time, Permanent

Salary: ₹60,000.00 - ₹100,000.00 per month

• Build a short-term & long-term Content strategy for company
• Conceptualize content initiatives & design experiments to create unique value proposition for existing and potential members; lead the charter to create programs & new formats.
• Develop content governance guidelines for tone, style, and voice of all content, and ensure they are followed, Oversee writing style and tone for all content
• Manage content projects end-to-end (for app + YouTube) through collaboration with teams across format, creative, marketing, growth, merchandising, etc.
• Analyze data in decision making for content design and market rollout, Track and calculate content ROI
• Work closely with the Marketing & Growth teams to see how content led initiatives can be planned + how we can help take content to our existing potential customers
• Support new initiatives with content and effectively communicate, collaborate with production team to enhance content output and brainstorm on new ideas

Desired Skills: 

• 8+ years of experience in content production and strategy
• Should be hands on & should be able to manage teams at the same time
• Should be willing to hustle across various tasks & new initiatives and simultaneously should be able to build SOPs, structure around it all to prepare for scale
• Strong creative/design skills with high attention to detail
• Project management experience is a plus 4
• Knowledge of Lending/ Insurance, relevant industry is a good to have large scale on Videos contents and understanding of what works on SEO is a must.

• Maintaining and updating databases in Excel, Mailchimp and other platforms 
• Executing marketing campaigns on Mailchimp and other email marketing platforms
• Montoring calendars and booking in meetings and calls for the management team 
• Competitor research, analysis and reporting
• Liaising and co-ordinating with suppliers including design agencies, hotels, publications and others
• Ad hoc support to team including assisting with events and promotional activity