Digital Transformation – Project Lead

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!

We are looking for energetic and motivated Business Development Associates to join our growing EdTech team. This role is ideal for fresh graduates who are passionate about sales, education, and building customer relationships. You will be responsible for connecting with prospective learners, understanding their needs, and guiding them toward suitable learning programs.

Key Responsibilities

• Reach out to prospective students and parents via outbound/inbound calls, WhatsApp, and emails
• Understand learner requirements and recommend relevant courses or programs
• Clearly explain course features, benefits, pricing, and enrollment process
• Follow up with leads and maintain a structured sales pipeline
• Achieve daily/weekly/monthly enrollment targets
• Maintain accurate records of interactions in CRM systems
• Coordinate with internal teams (counseling, operations, marketing) to ensure smooth onboarding
• Build long-term relationships with learners for repeat and referral business

Eligibility & Requirements

• Freshers are welcome (graduates / final-year students can apply)
• Any graduate (BBA, B.Com, BA, B.Sc, B.Tech, etc.)
• Strong communication skills in English and Hindi (additional languages are a plus)
• Willingness to work in a target-driven sales environment
• Basic knowledge of sales, customer handling, or EdTech is an advantage (training will be provided)
• Comfortable with calling, follow-ups, and objection handling

Skills Required

• Excellent verbal communication & interpersonal skills
• Persuasion and negotiation abilities
• Customer-focused mindset
• Time management and discipline
• Willingness to learn and grow in a fast-paced startup environment

• Builds business by identifying and selling prospects; maintaining relationships with clients.
• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.
• Sells products by establishing contact and developing relationships with prospects; recommending solutions.
• Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements.
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.
• Prepares reports by collecting, analyzing, and summarizing information.
• Maintains quality service by establishing and enforcing organization standards.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.

Skill set required
• Contributes to team effort by accomplishing related results as needed.
• Presentation Skills
• Client Relationships
• Emphasizing Excellence
• Energy Level
• Negotiation
• Prospecting Skills
• Meeting Sales Goals
• Creativity
• Sales Planning
• Independence
• Motivation for Sales

About the Job:

We are looking for a Content Writer, preferably a medical professional who has a passion for writing or a writer who found niche in healthcare industry, to create, edit and maintain high quality edit technical and marketing documents for internal and external use.

In this role, you will research, organize, write, and edit health Insurance related medical policies, technical and marketing & sales-related contents, as required.

Responsibilities:

As a Product Marketing Content Writer:

• Create, curate and syndicate content to increase brand awareness.
• Write storyboard and script content for digital and print channels for Sales and Marketing materials.
• Maintain a comprehensive library of technical terminology, standards, and documentation to unify communications.
• Plan future content in collaboration with management to maintain consistency and high-quality for future documentation.
• Proactively and strategically plan content to achieve business goals and user needs.
• Analyse documents to maintain continuity of style of content.
• Serve as writing consultant to other business segments as needed.

As a Technical Writer:

• Obtain a deep understanding of the Medical and Healthcare industry to summarize policy information into simple, polished, and engaging content for internal and external users.
• Write health insurance and medical related content that meets the business needs.
• Develop and maintain detailed repositories of appropriate reference materials in healthcare policies. 
• Research, develop and document technical design specifications and requirements documents and translate technical data into user-focused language.
• Gather information through research, subject matter experts and by reviewing technical requirements.
• Evaluate current content and develop innovative approaches for summarizations and improvement.
• Establish standards and protocols with team members for project documentation.
• Plan, develop, organize, write, and edit internal operational procedures, and training manuals.

Our client is a leading nature-based personal care products company backed by a Private Equity firm. It manufactures and markets Ayurveda/nature-based hair and skincare products under a well-known brand known for its commitment to marry the principles of Ayurveda with the best of natural ingredients to deliver outstanding products to customers across the globe.

Responsibilities:

• Design, develop, and maintain software applications.
• Go the extra mile to identify customer needs and pain-points. 
• Relentless focus on delivering high quality, bug-free code.
• Closely work with the SRE and DevOps team to set up microservices infrastructure. 
• Maintaining and auditing code/design quality as per set guidelines and standards in assigned projects.
• Testing of completed tasks in ongoing projects in the team before sending updates to reporting authority/client.
• Participate in application design, code reviews and documentation.

Requirements:

• Experience in agile development process.
• Excellent knowledge of HTML5, CSS3.
• Excellent knowledge of JavaScript.
• Experience with cross-browser, cross-platform and design constraints on the web
• Good understanding and experience of working on Vue.js/React.js.
• Prior experience building REST APIs
• Hands-on experience with Node.js/Golang/Java + Redis + Elasticsearch.
• Experience with AWS/GCP is a plus
• Knowledge of version control systems like GIT.
• Experience in developing automated unit and functional tests
• A minimum of 1 year of experience is needed.

Requirements:

- Knowledge of digital ad tech ecosystem

- Minimum 3 years of experience working in a professional environment on full-stack development

- Proven expertise in creating and developing scalable enterprise or B2C web applications

- Experience in REST API development and MVC/MVVM development methodologies

- Deep understanding of the underlying architecture of web servers, load balancing, and browser nuances. Basically, a solid understanding of fundamentals - including execution models, asynchronous programming, object-oriented concepts, relational concepts, etc.

- Proficiency in one or more of Node.js/MEAN stack, Python, Java or other frameworks and willing to be flexible on stack as per the requirement of the project. Most of our current development is on the MEAN stack - expertise in the stack will be a definite plus

- Proficiency in one or more of databases such as MySQL, MongoDB, Cassandra or other equivalent databases and willing to be flexible as per the requirement of the project. Most of our current development is on MongoDB and MySQL - expertise in these will be a definite plus

- Good understanding of developer tools and devops such as Git, Ansible, cloud platforms such as AWS, Docker, etc.