PythonAbout the Role
We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.
Key Responsibilities
– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.
– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).
– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.
– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.
– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.
– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.
– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.
– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.
Required Technical Skills
Languages
– Expert-level Python; working knowledge of R or C++ is a plus.
Frameworks
– TensorFlow, PyTorch, Scikit-Learn, Keras.
Data & Cloud
– Strong SQL and NoSQL fundamentals.
– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.
– Experience with distributed data processing frameworks: Spark, Hadoop.
MLOps & Deployment
– Proficiency with Docker and Kubernetes for containerized deployment.
– Experience building CI/CD pipelines for ML workflows.
– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.
Advanced / Nice-to-Have
– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.
– Experience fine-tuning transformer-based models for domain-specific use cases.
Qualifications & Experience
– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.
– Demonstrated track record of taking models from prototype to production in a real-world business setting.
What We Offer
– Competitive compensation, benchmarked to top-tier tech talent in the industry.
– Comprehensive health insurance coverage for you and your family.
– Annual learning & development stipend for courses, certifications, and conferences.
– A collaborative, high-ownership culture where engineering excellence is celebrated.
– The opportunity to work on cutting-edge AI systems with direct, visible impact.
About Tech Transient
Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.
We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.
Shubham Vishwakarma
Full Stack Developer - Averlon
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About the Company
We are a fast-growing consumer technology and recommerce organization focused on making high-quality refurbished smartphones accessible to customers across India. Operating at scale across online and offline channels, the company partners with multiple brands and suppliers to build a reliable, data-driven sourcing and pricing ecosystem. Innovation, operational excellence, and strong partner relationships are at the core of our business.
Role Overview
The Category Manager – Sourcing will be responsible for managing end-to-end sourcing of refurbished mobile devices. This role requires strong experience in supplier negotiations, pricing, inventory planning, and margin optimization. The ideal candidate should currently be working as a Sourcing Manager or above in a leading refurbished mobile or recommerce organization.
Key Responsibilities
Sourcing & Price Management
- Lead negotiations with sourcing partners and suppliers to achieve competitive buy prices and margins
- Drive month-on-month (MoM) category and brand-level performance metrics
- Analyze margin performance and ensure alignment with overall business targets
Inventory Planning & Forecasting
- Own SKU-level and city/store-level demand forecasting
- Ensure optimal inventory availability while controlling aging and excess stock
- Coordinate with sourcing partners to ensure timely availability of key models and launches
Partner & Performance Management
- Set and track monthly sourcing and sales targets
- Design incentive and payout structures to improve supplier performance and supply consistency
- Build long-term, scalable relationships with sourcing partners
Catalogue, Data & MIS
- Ensure accurate catalogue pricing, grading, and product information across platforms
- Track key metrics such as stock aging, sell-through, fill rate, and supplier performance
- Generate MIS reports and provide actionable insights to leadership
Eligibility & Experience
Education
- Any Graduate
Experience
- 5+ years of experience in sourcing, buying, or category management within refurbished mobiles, recommerce, or consumer electronics
- Mandatory: Currently working as a Sourcing Manager or above in a large-scale refurbished mobile organization (Cashify or equivalent ecosystem experience preferred)
Skills & Competencies
- Strong negotiation and supplier management skills
- High analytical ability with strong command of Excel and MIS reporting
- Deep understanding of refurbished mobile grading, pricing, and demand trends
- Ability to manage multiple suppliers, SKUs, and targets simultaneously
- Strong communication and stakeholder management skills
Why Join Us
- Opportunity to build and scale a high-impact sourcing category
- Work in a fast-paced, data-driven environment
- High ownership role with direct business impact
Please upload your resume here: https://magicworksitsolutions.com/google-ads-expert-scaling-level-projects/
Job Description:
We are seeking a highly skilled Google Ads Expert to lead, optimize, and scale our paid advertising campaigns to drive business growth. The ideal candidate will have extensive experience managing high-budget Google Ads accounts, implementing advanced strategies, and optimizing campaigns for performance at scale. You will play a critical role in maximizing ROI, automating processes, and ensuring continuous revenue growth.
Experience: 3-5+ years
Qualification: Google Ads Certifications (Search, Display, Video, Shopping, etc.)., Experience with eCommerce, SaaS, or lead generation scaling strategies, Knowledge of Python or JavaScript for Google Ads automation is a plus.
Key Responsibilities:
1. Google Ads Strategy & Execution
• Develop and execute high-level Google Ads strategies for scaling campaigns.
• Manage and optimize large-budget campaigns across Search, Display, YouTube, Performance Max, and Shopping Ads.
• Implement advanced audience targeting, including first-party data, remarketing, and lookalike audiences.
• Utilize AI-driven bidding strategies and automation to enhance ad performance.
2. Performance Optimization & Scaling
• Continuously analyze campaign data to improve CTR, Quality Score, and Conversion Rates.
• A/B test ad creatives, copy, bidding strategies, and landing pages to maximize ROI.
• Scale campaigns effectively without compromising cost efficiency.
• Identify and leverage new growth opportunities within Google Ads.
3. Advanced Tracking & Analytics
• Set up and manage Google Tag Manager, Google Analytics 4 (GA4), and conversion tracking.
• Implement and optimize Enhanced Conversions and Offline Conversion Tracking.
• Generate detailed reports on key KPIs, providing insights and recommendations for growth.
4. Automation & AI-Driven Strategies
• Leverage scripts, rules, and API integrations to automate campaign management.
• Optimize Performance Max campaigns using AI-driven insights.
• Develop dynamic ad creatives using automation and feed-based strategies.
5. Cross-Channel Growth & Integration
• Coordinate Google Ads with Facebook Ads, TikTok Ads, LinkedIn Ads, and other digital platforms for cohesive marketing strategies.
• Work closely with the content, design, and development teams to optimize landing pages for conversions.
• Monitor competition and industry trends to stay ahead of the curve.
Requirements:
• 3-5+ years of experience managing large-scale Google Ads campaigns.
• Proven success in scaling campaigns beyond six and seven figures in ad spend.
• Strong analytical skills and experience with GA4, Google Tag Manager, and Data Studio.
• Deep understanding of bidding strategies, Quality Score, and conversion optimization.
• Experience with Performance Max, Shopping Ads, and AI-driven campaign automation.
• Familiarity with Google Ads scripts, API integrations, and automation tools.
• Strong proficiency in A/B testing, audience segmentation, and CRO (Conversion Rate Optimization).
• Excellent communication skills and ability to collaborate with cross-functional teams.
Preferred Qualifications:
• Google Ads Certifications (Search, Display, Video, Shopping, etc.).
• Experience with eCommerce, SaaS, or lead generation scaling strategies.
• Knowledge of Python or JavaScript for Google Ads automation is a plus.
Benefits:
• Competitive salary with performance-based bonuses.
• Opportunity to work on high-scale, fast-growing campaigns.
• Continuous learning and access to the latest tools and training.
• Flexible working environment and career growth opportunities.
React.js
NodeJS (Node.js)Location: Indore
Position: Full Stack Developer Intern
Type: Unpaid Internship
Duration: 3–6 Months
🎯 Role Overview
We are looking for enthusiastic and passionate Full Stack Developer Interns who are eager to learn, build real-world projects, and gain hands-on experience in a professional environment.
✅ Key Responsibilities
- Assist in developing web applications (Frontend + Backend)
- Work with technologies like React.js, Node.js, MongoDB, Express.js
- Develop and integrate APIs
- Debug, test, and optimize code
- Collaborate with the development team on live projects
- Follow best coding practices
🎯 Requirements
✔ Basic knowledge of HTML, CSS, JavaScript
✔ Understanding of MERN Stack (React, Node, MongoDB, Express)
✔ Interest in Backend / Frontend development
✔ Willingness to learn and adapt quickly
✔ Fluent communication skills
✔ Immediate joiners preferred
💡 Preferred Skills
✔ Knowledge of Git/GitHub
✔ Basic understanding of APIs & databases
✔ Exposure to CI/CD or DevOps (bonus)
🎓 Eligibility
- B.Tech / BCA / MCA / Any Graduate (IT background preferred)
- Freshers & Students can apply
🎁 What You Will Gain
- Hands-on experience on live projects
- Real industry exposure
- Certificate of Internship
- Opportunity for full-time role based on performance
Position: Deputy Manager / Assistant Manager & Below
Location: Gurgaon (Onsite)
Employment Type: Full-Time Employee (FTE)
Function: TMT-CST-EE – Cybersecurity Strategy & Third-Party Risk
Minimum Qualification & Requirements:
- BE / BTech (Engineering or equivalent field)
- 6–10 years of relevant experience in one or more of the following:
- SOC Reporting
- Third-Party Risk Management (TPRM)
- ITDR / ITGC
- Cloud Security
- Governance, Risk & Compliance (GRC)
- Prior experience with a Big 4 or similar consulting firm is highly desirable
- Strong verbal and written communication skills
Share Cv to
Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three
PHP
JavascriptReact.js
Angular (2+)
AngularJS (1.x)Php and framework full stack developer
Knowledge of Nodejs and python an added advantage
Understands ci cd and webapp deployment
Aws development and deployment understanding
Javascript understanding
- Designing and deploying database
- Ensuring the entire stack is designed and built for speed and scalability
- Designing and constructing REST API
- Mentoring other developers of the team with code and design reviews
What you need to have:
- Strong proficiency Primary Stack (Golang, Node.Js, Express, ES6, Docker, AWS, PHP, Laravel, Microservices, Rest APIs)
- Strong proficiency in Database tools (MongoDB, Mongoose, MySQL, Postgres, Eloquent, Sequelize, DynamoDB, Lucid Models, PDO, Redis, Memcached, GraphQL)
- Experience implementing testing platforms and unit tests Proficiency with Git
- Proficiency in tools (Ajax, Axios, TDD, OOP, MVC, jQuery, npm, Webpack, Guzzle, Git, HTML, CSS, Linux, Kubernetes,SVN, Blade, Ubuntu, PHPunit, jest, JIRA)
- Strong proficiency in AWS, or similar environments (Microservices, Docker, AWS, Lambda, S3 bucket, SQS).
Thanks for your time today, as discussed on call I am sharing you the JD for Insurance Profile.
Job description
Roles and Responsibilities
Meeting with clients.
Offering specialized financial guidance and advice.
Completing financial needs analysis.
Creating and explaining customized plans.
Utilizing knowledge of tax investment strategies.
Assessing clients' financial portfolios.
Analyzing clients' risk.
Encouraging clients to invest in the future.
Desired Candidate Profile
You should have a strong command of English and Hindi.
Preference would be given to those candidates who are from banking background experience.
Must have good knowledge in Insurance and good connections with agents.
Experience required 1-5 years.
Perks and Benefits
1. Chart a rapid career growth in a fast-paced start-up company.
2. Opportunity to be the core team member of the technology team.
3. Opportunity to work in an upcoming B2B2C Fintech start-up founded by IITians.
4. Stock options for high performers.
5. Health Insurance.
Location: HSR Layout, Sector-4, Bangalore
Notice Period: 1-15 days, Immediate Joiners
CTC: 3-8 LPA
Openings: 2
Relevant experience: 4-8 Years (Senior Profile)
Relevant Experience : 1-2 Years (Junior Profile)
Looking forward to hearing from you soon, any assistance would be needed. You can reach me out on the below contact details!
* Managing the clients
* Making cold calls
* Attending direct walk-ins
* converting cold calls & walk-in inquiries
* Achieving the given sales target
It is a marketplace that connects the hiring needs of companies ranging from startups to MNCs with consultants who fulfill them i.e we are an aggregator between the clients and the consultants. With a staff strength of 50-100 employees, we handle requirements for marketing, sales, IT, e-commerce, BFSI, etc. the company boasts of young and dynamic employees, free work environment, weekends off, a movie every month and regular fun and game sessions.
Responsibilities-
Lead generation, Prospecting, Client Acquisition, Negotiation, Closure, Client servicing, Cross Selling and Client Retention.
Managing corporate clients with an enhanced business portfolio.
Making presentations to clients with a precise display of their visibility when placed in the online space.
Designing email campaigns to spread awareness of new products launched.
Prospecting/Providing standard and customized solutions to Clients across domains/segments
Handling tough negotiations/closing deals
Consistency in achieving the sales targets assigned
Setting and managing client expectations
Managing client relationships/Up selling and Cross Selling.
Meeting the weekly, monthly and quarterly targets and generate revenue for the organisation.
To maximise market share and client preference in the assigned market through high quality servicing.
Generates own business leads, business planning/sales planning.
Ensures a customer on boarding process is fast and smooth.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon