Founding ML Engineer

Company: Altruist technologies, Gb palya, Bangalore

*Customer support executive

Process: *MLOB*

Education: Graduation

Salary: 20k take home

Language: Excellent English+any other language

6 days of working 1 day rotational weekoff

Shifts: rotational shifts

Responsibilities

• Perform detailed QC of 2D engineering drawings with a strong focus on accuracy, standards, and manufacturability.
• Validate dimensions, tolerances, GD&T symbols, views, callouts, and BOM elements.
• Cross-check drawings against 3D CAD models and identify mismatches.
• Flag design or annotation errors and guide drafters on corrective actions.
• Ensure compliance with ASME/ISO standards and internal guidelines.
• Develop and refine QC checklists, SOPs, and quality frameworks.
• Collaborate with design, drafting, and automation teams to improve quality.
• Maintain QC reports and drive continuous improvement.
• Mentor junior engineers.

Must-Have Skills

• Diploma/B.E./B.Tech in Mechanical or Production Engineering.
• 5–12 years of experience reviewing mechanical drawings in manufacturing, aerospace, automotive, tooling, or precision engineering.
• Strong command of GD&T (ASME Y14.5) and engineering drawing standards.
• Ability to interpret 3D CAD models in SolidWorks/Creo/NX or similar tools.
• Exceptional attention to detail with high accuracy.
• Strong communication and documentation skills.
• Worked with Plastic components and parts
• ASME Certified with strength in GD&T concepts.

Why Hanomi.ai?

Hanomi.ai is an AI-driven engineering automation platform that transforms how mechanical engineers move from design to production. Our technology generates production-ready 2D technical drawings directly from 3D CAD, cutting drafting time from hours to minutes. Hanomi supports native CAD output, GD&T automation, and seamless integration with existing PLM systems — helping teams ship tools faster while maintaining their engineering standards.

Backed by global investors and trusted by leading manufacturing innovators, our mission is simple: bridge the gap between design and manufacturing so engineers can focus on what truly matters — innovation.

Job Title: Full Stack Developer

Location: Bengaluru, India

Experience: 5–8 Years

Employment Type: Full-time

Company Overview

iAI Solution Pvt Ltd (https://iaisolution.com/) operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.

Position Summary

We are seeking an experienced Full Stack Developer (5–8 years) to design, build, and maintain scalable frontend and backend systems across multiple domains. You’ll work closely with product, DevOps, and other stakeholders to deliver mission-critical solutions that power our growth.

But beyond just technical chops, we want a go-getter who’s not afraid to jump in, figure things out, and make things happen. You’re scrappy, resourceful, and all about execution — solving problems with creativity, logic, and whatever tools you can get your hands on. You’ve got a solid work ethic, owning your projects end-to-end and stepping up when the heat is on. You’re a self-starter who doesn’t wait for all the answers — you research, learn, and just get it done. Feedback? You take it, grow from it, and come back stronger. Most importantly, you’re a team player with accountability — someone who backs up the crew, takes ownership.

Key Responsibilities

• Develop and maintain secure, scalable full stack applications using modern frameworks.
• Collaborate with frontend and backend teams to design APIs, services, and UI components.
• Write clean, efficient, and reusable code using React.js, Next.js, Node.js, Python (FastAPI).
• Implement CI/CD pipelines with GitHub Actions or Azure DevOps.
• Work with containerization (Docker) and orchestration (Kubernetes).
• Integrate applications with cloud platforms (Azure or AWS) and databases (PostgreSQL, MongoDB).
• Ensure application performance, responsiveness, and security across devices.
• Monitor and troubleshoot issues using observability tools (Prometheus, Grafana, ELK Stack).
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Qualifications

• 5–8 years of professional experience as a Full Stack Developer, delivering production-grade applications.
• Proficiency in JavaScript frameworks (React.js, Next.js) and backend technologies such as Python (FastAPI).
• Strong understanding of REST APIs, microservices architecture, and modern web application design.
• Hands-on experience with relational and non-relational databases (PostgreSQL, MongoDB).
• Exposure to containerization (Docker) and orchestration tools like Kubernetes.
• Experience working with cloud platforms, preferably Azure (AWS experience is also acceptable).
• Familiarity with Agile methodologies and version control systems (Git).
• Strong problem-solving, debugging, and communication skills.
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Must-Have Skills

• Frontend: Next.js ,React.js, 
• Backend: Python (FastAPI), Java, Node.js 
• Databases: PostgreSQL, MongoDB, Redis 
• DevOps/Cloud: Azure (preferred), AWS, Docker, Kubernetes, Terraform 
• CI/CD: GitHub Actions, Azure DevOps 
• Messaging: Kafka, RabbitMQ, Azure Service Bus(preferred)
• Monitoring: Prometheus, Grafana, ELK Stack

Good-to-Have Skills

• Experience with animation libraries (GSAP, Framer Motion)
• Exposure to SaaS platform development
• Knowledge of testing frameworks (Jest, Cypress, React Testing Library)
• Understanding of CI/CD pipelines and DevOps practices
• Exposure to AI/ML integrations or MLOps workflows
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Preferred Qualifications

• Hands-on experience with Kafka, RabbitMQ, or Azure Service Bus (preferred).
• Working knowledge of Terraform for infrastructure automation.
• Prior experience with real-time audio/video applications.
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Perks & Benefits

• Competitive salary with performance-based bonuses.
• Opportunity to work on cutting-edge real-time audio/video applications.
• Flexible working hours.
• Access to the latest development tools and technologies.

The Department of Finance and Accounting oversees the financial operation of the company and provides a wide range of services such as financial information and reporting, set-up and monitor internal controls, implement financial policies and procedures, billing and record keeping.

CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to rapidly achieve Continuous and Autonomous Cloud Governance at Scale. CoreStack enables enterprises to realize outcomes such as 40% decrease in cloud costs and 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well Architected Framework (WAF). We work with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government.

Responsibilities:

• Part of a Cloud Governance product team responsible for installing, configuring, automating and monitoring various Cloud Services (IaaS, PaaS, and SaaS)
• Be at the forefront of Cloud technology, assisting a global list of customers that consume multiple cloud environments.
• Ensure availability of internal & customers' hosts and services thru monitoring, analysing metric trends, investigating alerts.
• Explore and implement a broad spectrum of open source technologies. Help the team/customer to resolve technical issues.
• Extremely customer focused, flexible to be available on-call for solving critical problems.
• Contribute towards the process improvement involving the Product deployments, Cloud Governance & Customer Success.

Skills Required

• Minimum 3+ Years of experience with a B.E/B.Tech
• Experience in managing Azure IaaS, PaaS services for customer production environments
• Well versed in DevOps technologies, automation, infrastructure orchestration, configuration management and CI/CD
• Experience in Linux and Windows Administration, server hardening and security compliance
• Web and Application Server technologies (e.g. Apache, Nginx, IIS)
• Good command in at least one scripting language (e.g. Bash, PowerShell, Ruby, Python)
• Networking protocols such as HTTP, DNS and TCP/IP
• Experience in managing version control platforms (e.g. Git, SVN)

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.

• Build relationships with prospective clients
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's degree 3+ years in sales industry
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong negotiation skills
• Strong communication and presentation skills
• CRM experience is preferred

• Deep knowledge of website development, Facebook marketing, Mail Chimp, Hub Spot, Google Ad words and SEO
• Run PPC campaign and management (other paid campaigns)
• Social Media Strategy
• Promote content online
• Keep an eye on current updates in social media and work accordingly
• Co-ordinate with the US team
• Design Magazine(Vibe and Pac Buzz)
• Portals management
• Write Relevant blogs
• Online Database storage & Management
• Online Reputation Management
• Campaigns on Nearbuy & similar portals
• Coordination with Relevant online portals for banner work
• Coordination with the USA office for research on their localized requirements
• Post-execution performance analysis of the campaign

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis