Founding Applied AI Engineer

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Job Overview: 

 We are looking for an experienced, proactive, and self-driven Marketing Executive who can independently manage and execute the overall marketing function. This role requires a strong understanding of both traditional and digital marketing, combined with the ability to plan, implement, and monitor marketing activities end-to-end. 

The ideal candidate will take full ownership of marketing initiatives, coordinate with internal teams, and drive brand visibility, lead generation, and marketing performance with minimal supervision. 

Key Responsibilities: 

 1. Marketing Strategy & Execution (Core Responsibility) 

• Develop and execute quarterly and annual marketing plans. 

• Plan and implement campaigns for product promotion, lead generation, and brand building. 

• Ensure consistent branding and messaging across all channels. 

• Collaborate with sales, product, and leadership teams to align marketing initiatives with business goals. 

2. Digital Marketing (Part of the Role) 

PPC & Lead Generation 

• Plan, manage, and optimise Google Ads and other paid campaigns. 

• Track performance metrics (CTR, CPC, CPA, conversions, ROI) and refine campaigns. 

• Develop effective ad copies and assist with landing page enhancements. 

SEO & Website Management 

• Implement on-page/off-page SEO strategies to improve organic search visibility. 

• Conduct keyword research, optimise content, and review analytics. 

• Coordinate with design/content teams to ensure SEO standards are met. 

3. Brand, Content & Communication 

• Oversee the creation of marketing content — blogs, emails, social posts, brochures, case studies, videos, and presentations. 

• Maintain brand guidelines and ensure cohesive communication across the organisation. 

• Work with internal and external creative teams for design and content execution. 

4. Exhibitions, Events & Offline Marketing 

• Lead planning and execution of marketing for exhibitions and trade shows. 

• Support stall layout planning, branding materials, and event promotions. 

• Manage lead handling and coordination before, during, and after events. 

5. Lead Management & CRM Collaboration 

• Ensure prompt assignment of incoming leads to the respective territory managers. 

• Track lead flow, progress, and campaign effectiveness. 

• Work closely with the sales team to improve follow-up quality and conversion tracking. 

6. Market Research & Data Management 

• Conduct competitive research, pricing insights, and industry analysis. 

• Prepare scraping data and market intelligence reports. 

• Support management with MIS and performance dashboards. 

7. Performance Analysis & Reporting 

• Monitor marketing KPIs across both digital and offline activities. 

• Prepare regular performance reports with insights and improvement suggestions. 

• Conduct A/B tests and track results for continuous optimisation. 

Requirements: 

• Excellent communication, planning, and coordination skills. 

• 3–5+ years of experience in a marketing role (preferably B2B). 

• Strong understanding of digital marketing (PPC, SEO, analytics). 

• Ability to independently manage marketing activities with high ownership. 

• Proficiency in tools: Google Ads, Analytics, Search Console, MS Office, CRM systems. 

• Understanding of website platforms (WordPress, CMS tools). 

• Ability to manage multiple projects and meet deadlines. 

Desirable Skills: 

• Experience with LinkedIn, Facebook, and Instagram marketing. 

• Knowledge of email marketing tools or automation platforms. 

• Creative thinking and copywriting ability. 

• Google certifications are an added advantage. 

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 description

About the job

Department: Search Engine Optimization (SEO)

Joining: Immediate

Job Overview

We are seeking a detail-oriented and analytical SEO Specialist to join our growing digital marketing team. The ideal candidate should have a strong understanding of SEO fundamentals, be comfortable working with data and SEO tools, and be passionate about improving website visibility and organic search performance across multiple industries.

Key Responsibilities of SEO Specialist

• Manage and optimize Google Business Profiles (GMB) for local and national clients.
• Conduct keyword research and competitive analysis to identify growth opportunities.
• Execute on-page SEO activities, including meta tags, content optimization, internal linking, and URL structuring.
• Assist in developing and implementing SEO strategies to increase organic traffic and search rankings.
• Monitor website performance using tools such as Google Analytics, Google Search Console, and SEMrush.
• Perform technical SEO audits and coordinate with developers to implement improvements.
• Execute link-building activities to acquire high-quality backlinks from relevant and authoritative sources.
• Work closely with the content team to ensure content is optimized for search engines and user intent.
• Track, analyze, and report SEO performance and provide actionable insights.
• Stay updated with the latest SEO trends, algorithm updates, and best practices.

Requirements for SEO Specialist Job in Pune

• 13 years of experience in Search Engine Optimization (SEO).
• Strong understanding of on-page SEO, keyword research, and link building.
• Experience using SEO tools such as Google Analytics, Google Search Console, SEMrush, Ahrefs, or similar.
• Basic knowledge of technical SEO concepts such as site structure, indexing, crawling, and page speed optimization.
• Strong analytical and problem-solving skills.
• Good communication and reporting skills.
• Ability to manage multiple tasks and meet deadlines in a fast-paced agency environment.

Preferred Skills for SEO Specialist Job in Pune

• Experience with local SEO and Google Business Profile optimization.
• Familiarity with WordPress or other CMS platforms.
• Understanding of basic HTML and website structure.

Role: SEO

Industry Type: Advertising & Marketing (Digital Marketing)

Department: Marketing & Communication

Employment Type: Full Time, Permanent

Role Category: Digital Marketing

Education

UG: Any Graduate

 4 to 8 years of experience.

Certification A2 or any

Azure Component Provisioning.

Hands-on experience on configuring and troubleshooting application gateway firewall, load balancers, VM/Disk encryption, Azure vaults, network security group, web application firewalls.

Hands-on experience and troubleshooting on Azure Virtual Network Gateway, ExpressRoute,Azure chatbot services.

Hands-on experience on Azure Automation with hands skills in PowerShell.

Extensive knowledge of Windows Server operating systems and Active Directory.

Extensive knowledge of Linux operating systems (Centos and Ubuntu).

Installing, Configuring and Managing AD / DHCP / DNS Services.

Creating Group Policies and implementation as per standard procedures.

Install, secure, maintain, troubleshoot and upgrade Windows/Linux Server operating systems.

Knowledge of network architecture and design, network security, Web sites/Portal security and client/server security.

Experience with configuration management single sign on with azure active directory.

Server performance monitoring and apply the solution to increase the performance if needed.

Cost management and cost analysis.

Backup and disaster recovery administration.

SSL/App services certificates configuration with Linux and windows-based websites/portals.

Roles & Responsibilities:

• You will be coordinating our enterprise account-specific teams called squads, consisting of members from engineering, machine-learning, and conversation-design teams.
• There are five working groups in the organization, (i) Business (ii) Research (iii) Solutions (iv) Product, and (v) Operations, where you will be joining the Solutions, working group.
• You will be collaborating with the sales team to design an appropriate solution to the customer's problems and help them showcase the value of the product.
• You will be collaborating with the operations team to ensure we are not compromising on our quality standards.
• You will also be co-working with the product working group to help them improve the overall platform and to prioritize the high-impact initiatives in the roadmap.

Work you will be doing:

• You will be building bespoke voice bots for enterprise clients using internal tools.
• You're expected to help build the Solutions stack whose goal is to reduce the amount of effort put into building our voice bots. 
• You will be involved in analyzing client calls where you're expected to use either data pipelines or SQL to get insights into caller behavior.

• Professional experience of at least 1 year.
• Has experience with integrating or building HTTP APIs
• Has hands-on experience working with Python
• Good communicator

Optional Requirements:

• Has experience working in any of Django Rest Framework, Redis, Celery

Skit uses a microservices architecture where we employ both HTTP and GRPC to communicate between our services

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, which not only improves developer productivity but also increases software’s robustness.

As a Quality Assurance Engineer, you will help ensure the experience of our users by ensuring our products meet the highest standards of security, reliability, performance, and user-friendliness. Your work will encompass building automation tooling, test automation frameworks, optimize test automation throughout the continuous integration pipeline, and helping with manual testing.

• Help design an end-to-end test strategy and automation framework and implement a comprehensive test suite.

• Collaborate with the engineering team to integrate the automation framework into our Continuous Integration workflows.

• Estimate, prioritize, plan and coordinate testing activities and track quality assurance metrics.

• Identify, record, document thoroughly, and track bugs and improvements.

• Perform thorough regression testing on every release and when bugs are resolved.

• Work with the engineering team during the development cycles to establish proper test coverage.

• Collaborate with engineering and design teams to assess risk and develop test strategies around new features.

• At least 2 years of professional experience in QA automation.

• Demonstrable ability in writing software in Python/JavaScript (or similar language).

• Experience using automated testing tools, like TestCafe, Selenium, JUnit, Cypress, Appium, XCTest.

• Ability to collaborate and work well with others in a fast-paced, complex environment with attention to detail.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

Position description:

We’re looking for a senior full stack developer (MERN) with a proven experience to design and create software. The responsibilities will include coding both on the front and back-end, writing APIs, and React components.  

Having an experience of web development using JavaScript, you should be able to create web applications from scratch. The ideal candidate should have experience of working in agile teams. 

Primary Responsibilities:

• Participating in the design and creation of scalable software
• Writing clean, functional code on the front- and back-end
• Writing unit tests and fixing bugs or other coding issues
• Develop and manage well-functioning databases and applications
• Write effective APIs and react components
• Perform peer code reviews

Reporting Team

• Reporting Designation: Full Stack Development (KH_PPLS_PE_SPD.Full Stack Development)
• Reporting Department: Software Product Development (KH_PPLS_PE_SPD)

Required Certification/s:

Required work experience

• Industry: IT
• Role: Web Development
• Years of experience: 3 to 6

Key Performance Indicators:

• 3-6 years of industry work experience 
• Proven experience as a Full Stack Developer or similar role 
• 1+ years of web application development with JavaScript as full stack 
• End-to-end full stack experience designing and building scalable applications 
• Excellent JavaScript / Typescript skills 
• Strong proficiency in React (hooks knowledge is plus) 
• Strong proficiency in Nodejs 
• Good HTML5 / CSS3 skills with expertise on responsive web design 
• Must have development experience in Micro services using NodeJS and TypeScript 
• Experience with NoSQL databases such as MongoDB, mongoose, aggregation framework and Redis 
• Experience with Web sockets and related frameworks (e.g. Socket.IO) 
• Experience in using and developing GraphQL APIs 
• Knowledge of code versioning tools such as Git, Mercurial or SVN. 
• Open minded to take up any challenge, research and provide solutions –  

Required Competencies:

• Great attention to detail 
• Testing libraries – jest, testing-library is plus 
• TDD / BDD experience is plus 
• Experience with AWS, K8S is plus 

• Familiar with SDLC methodologies like SCRUM, AGILE, Continuous Integration  

Required Skills:

ReactJS, Node.JS, HTML, CSS, Javascript, NoSQL