HTML/CSS
Javascript
AngularJS (1.x)
React.js
XMLServicenow Scripting candidates with UI and Portal / platform development.
Position - ServiceNow Consultant
Exp : 5+ yrs
Shift - UK
Hands on experience in Java Script, HTML, CSS,XML, AJAX, Angular JS & React JS
A fundamental understanding of ITSM, ITIL or CMDB.
Good to have- ServiceNow Certification, CSA, CAD, CIS- ITSM
Hands-on design, development, and deployment experience with the ServiceNow platform.
End to End Integration Exp. Using Scripted Rest API, Rest API (Outbound & Inbound) & Authentication Process.
ServiceNow implementation experience in ITSM, Service Portal, Performance Analytics (Adv. Reporting) & Employee Centre Knowledge.
Should be multitasking, Self-Learner and possess good Functional Knowledge.
Should be able to take lead on Project, Support activity and guide or train the team.
Strong communication, presentation, and problem-solving skills.
Thorough understanding of ITIL/ITSM processes.
Working knowledge of ITBM process and implementation
Shubham Vishwakarma
Full Stack Developer - Averlon
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Deep Learning
Machine Learning (ML)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 have opening for Paid Marketing Executive for Ahmedabad ( Ambavadi ) Location
Paid Marketing Executive
Job Description:
- Plan, launch, and optimize performance marketing campaigns across Google Ads, Meta Ads, and LinkedIn Ads.
- Manage end-to-end campaign execution - from targeting, ad setup, creative testing, landing page optimization, to post-campaign reporting.
- Drive lead generation and user acquisition by optimizing for lower CPA and higher ROAS.
- Run remarketing, retargeting, and lookalike campaigns to nurture leads and improve conversion rates.Implement A/B testing for ad creatives, copies, landing pages, and funnels to maximize campaign performance.
- Leverage AI tools and automation techniques to streamline campaign processes, enhance efficiency, and improve overall campaign performance.
- Monitor budgets, track KPIs (CTR, CPC, CPA, ROAS, Conversion Rates), and ensure efficient utilization of ad spend.
- Track, analyze, and report performance using tools like Google Analytics, Google Tag Manager, Meta Ads Manager, LinkedIn Campaign Manager, and dashboards.
Requirements
2 + years of experience in performance marketing / digital marketing,
preferably in B2B or in Finance sector.
Hands-on expertise in Google Ads, Meta Ads, and LinkedIn Ads for B2b Marketing.
Strong analytical skills with experience in A/B testing, funnel optimization, and data-driven decision-making.
Proficiency in campaign tracking and analytics tools (Google Analytics, GTM, Ads Managers, etc.).
Ability to manage budgets effectively and deliver measurable business
outcomes.
Bachelor’s degree in Marketing, Business, or a related field
Certifications in Google Ads or Facebook Blueprint are a plus
NodeJS (Node.js)
MongoDBPythonWe are looking for a seasoned fullstack developer who combines hands-on technical skills with strong experience in AI/ML and a deep understanding of market & website analytics. This role will play a strategic part in building intelligent platforms and driving data-informed decisions.
Key Responsibilities
- Architect and develop scalable, modular systems using Node.js, React/Next.js, PostgreSQL/MongoDB, and GraphQL/REST APIs. Build extensible APIs and content management workflows.
- Use OpenAI, Anthropic, or Gemini APIs to build features like automated FAQ generation, AI visibility scoring, and citation-ready content enrichment. Optimize for AI Answer Engines (AEO)
- Implement and analyze data from tools like Google Analytics, Mixpanel, Amplitude, Hotjar, etc.
- Develop dashboards and data visualizations to support marketing and product teams
- Collaborate with designers, data engineers, and product managers to align tech with business strategy
- Own product performance and conversion metrics with regular audits and improvements
- Evaluate user behavior, funnels, and attribution to improve product and marketing decisions
Required Skills
- Strong fullstack capabilities (JavaScript, Node.js, React/Angular, APIs, databases)
- Solid understanding and practical experience in AI/ML frameworks (e.g., Python, TensorFlow, Hugging Face, OpenAI API, Langchain)
- Experience implementing bot tracking pipelines: identifying and measuring search engine bots, AI crawlers, and language model spiders.
- Use of tools like server logs, Cloudflare bot management, or custom bot classification systems.
- Knowledge of how to measure AEO performance: visibility in AI answers, citation signals, crawl frequency, and interaction patterns.
- Comfortable collaborating with a business co-founder — a fast-moving, product-minded builder who thrives in zero-to-one environments
Python
Docker- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 3 years of professional experience in developing and deploying AI/ML solutions.
- Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers.
- Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services.
- Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts.
- Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
- Proven experience working with the Azure cloud platform and its AI/ML and container services.
- Familiarity with data engineering concepts and tools for data processing and preparation.
- Experience with CI/CD pipelines and DevOps practices.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Experience with MLOps practices and tools for managing the ML lifecycle.
- Familiarity with other cloud platforms (e.g., AWS, GCP).
- Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis).
- Contributions to open-source AI/ML projects.
- Relevant certifications in AI/ML or cloud technologies.
Job Responsibilities:
- 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.
- Contributes to team effort by accomplishing related results as needed.
Working Conditions:
- Sales engineers will drive the sales growth from their respective zones (it may be Bangalore/Chennai).
- Work timings are from 9:30 AM to 07: 30 PM with suitable time offs for lunch and snacks. (Monday to Friday)
- Travelling to prospective clients may be required for demo/trial as and when required.
About us:
Rubick.ai is one of the fastest-growing eCommerce enablement platforms. We specialise in Product Discovery, Search and Market Intelligence for marketplaces, brands, and sellers. We offer an end-to-end full-stack Product Information, Cataloging, and Marketing platform as a solution for eCommerce.
Rubick has catalogued over 5M SKUs for 200+ leading eCommerce brands like Amazon, Hudson Bay US, Zilingo Singapore, The Luxury Closet-UAE, and Myntra in India, the US, Singapore, and other international markets.
Visit us: https://www.rubick.ai/
Mode: Work from Home
Days of work: 5 days (Monday to Friday)
Job type : Contract (2 months)
Timings: 9:30 am - 6:30 pm (Full-Time)
Salary: INR 30,000 per month (Fixed Pay)With TDS deduction of 10%
Responsibilities
- Edit around 13,000 words daily, ensuring the content follows the organisation's style guide and guidelines.
- Format documents according to established guidelines, ensuring consistent font usage, headings, and paragraph structures.
- Work within set timelines to meet project deadlines.
- Assess the accuracy, coherence, and overall quality of written content.
- Improve the language flow and readability of content
- Verify information, statistics, and references to ensure accuracy and reliability.
- Collaborate with writers, senior editors, and other team members to provide constructive feedback and suggestions for improvement.
- Research to gather information on various topics, ensuring the accuracy and relevance of the content being edited.
- Play a role in maintaining the overall quality and integrity of the content produced by the organisation.
Qualifications
- 1 - 2 years of work experience in content editing.
- Bachelor or Master degree in any related field.
- Ability to work independently and as part of a team.
- Strong attention to detail and organisational skills.
- Effective communication skills, both written and verbal.
Key skills:
- Proofreading,
- Excellent writing and editing skills
- Fact-checking
- An impeccable command of the English language.
- Understanding of SEO-related content
- Ability to handle multiple projects simultaneously
- Basic proficiency with computers, especially tools like Google Docs, MS Word, etc
- (Optional) A medical background or experience in editing similar content.
The job is applicable only for Mumbai-based candidates.
Immediate/Digital Marketing agency Experience preferred.
Job description
We are looking for Digital Marketing professionals with a creative approach and unconventional thinking process.
- Conceptualizing, Managing, Moderating and Analysing Brand Pages and Ads on Facebook and Instagram, google on all Social Media Platforms.
- Developing Content Strategies for Promoting the Brand on Social Media Platforms like Facebook, Instagram
- Conducting online research for clients and competition.
- Developing Proposals and Pitches for Prospective clients
- Client Servicing
Skills Required:
- Must understand Social Media platforms
- First-hand experience in creating and using social media ads (FB+INSTA + Google)
- Ability to learn quickly
- Able to work in teams and ability to quickly adapt to the processes of ever-changing nature of the social media world
- Understanding of SEM- Google Adwords, basics of SEO, Social Media Marketing
- Minimum of 2 years experience managing clients in a digital ad agency. Digital Marketing Executives can apply.
- Great communication, presentation skills and client servicing skills
- Proactive and a self-starter
- Strategic thinker with hand on experience
Mode: Hybrid
Working days: 4 days a week WFO and 2 alternate Saturdays working from home
Time: 9:30am to 6:30pm or 10:00am to 7:00 pm
Office address : A 301, Kailash Business Park, Hiranandani gardens, Powai 400076
Jo
NodeJS (Node.js)
KubernetesDocker
Amazon Web Services (AWS)CricStox is a Pune startup building a trading solution in the realm of gametech x fintech.
We intend to build a sport-agnostic platform to allow trading in stocks of sportspersons under any sport
through our mobile & web-based applications.
We’re currently hiring a Backend Cloud Engineer who will gather, refine specifications and requirements
based on technical needs and implement the same by using best software development practices.
Responsibilities?
● Mainly, but not limited to maintaining, expanding, and scaling our microservices/ app/ site.
● Integrate data from various back-end services and databases.
● Always be plugged into emerging technologies/industry trends and apply them into operations and
activities.
● Comfortably work and thrive in a fast-paced environment, learn rapidly and master diverse web
technologies and techniques.
● Juggle multiple tasks within the constraints of timelines and budgets with business acumen.
What skills do I need?
● Excellent programming skills in Javascript or Typescript.
● Excellent programming skills in Nodejs with Nestjs framework or equivalent.
● A solid understanding of how web applications work including security, session management, and
best development practices.
● Good working knowledge and experience of how AWS cloud infrastructure works including services
like APIGateway, Cognito, S3, EC2, RDS, SNS, MSK, EKS is a MUST.
● Solid understanding of distributed event streaming technologies like Kafka is a MUST.
● Solid understanding of microservices communication using Saga Design pattern is a MUST.
● Adequate knowledge of database systems, OOPs and web application development.
● Adequate knowledge to create well-designed, testable, efficient APIs using tools like Swagger (or
equivalent).
● Good functional understanding of ORMs like Prisma (or equivalent).
● Good functional understanding of containerising applications using Docker.
● Good functional understanding of how a distributed microservice architecture works.
● Basic understanding of setting up Github CI/CD pipeline to automate Docker images building,
pushing to AWS ECR & deploying to the cluster.
● Proficient understanding of code versioning tools, such as Git (or equivalent).
● Hands-on experience with network diagnostics, monitoring and network analytics tools.
● Aggressive problem diagnosis and creative problem-solving skills.
1. Understand creative briefs and generate unique ideas
2. Act as an active contributor to brainstorming discussion
3. Thinking of interesting clutter breaking ideas and its execution
4. Must have the ability to ideate, evolve content and refer to relevant design touch-points
5. Ideation and execution of the design
6. Ability to deliver work as per timeline requirement
7. Act upon feedback and make necessary changes that meet the brief
8. Explore a variety of techniques and evolve solutions that lead to improvement in consumer impact
Here’s what you should have:
1. Candidates from NID/NIFT
2. Well versed in basic graphic design software - Adobe Photoshop, Adobe Illustrator, After Effects etc.
You should apply if you:
1. Love taking ownership of your work and enjoy the creative freedom that comes with it
2. Aren’t scared to dream big, think scale, and chase big hairy audacious goals
3. Want to work in a free, flexible, and performance-driven environment
4. Are a scientist at heart - Try, test, validate, implement, scale. Run experiments!
Scala- 5+ years of experience in a Data Engineer role
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases such as Cassandra.
- Experience with AWS cloud services: EC2, EMR, Athena
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
- Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon