Data Science Analyst

• Strong UX-focused Product Design Profile
• Mandatory (Experience 1) – Must have 8+ YOE in Product Design, with a focus on UX Research, Designs and Design Operations, primarily in the B2B domain
• Mandatory (Experience 2) - Must have strong experience with Large-scale B2B Enterprise products, and should be leading multiple verticals in the ERP products
• Mandatory (Experience 3) – Must have strong experience in Project Management and Design operations - Like leading Design sprints, team task allocation, delivery planning, estimation and execution.
• Mandatory (Designation) – Must be Manager / Staff or above designation in Current role
• Mandatory (Team Managememt) - Must have atleast recent 2+ YOE as a Team Manager (Not mentoring, should be in a complete Manager role)
• Mandatory (Portfolio) - Must have strong B2B Products Case Studies for Complex B2B Enterprise level applications, with multiple connected modules (Dont want just simple UI screens in portfolio)
• Mandatory (Company) - Large-Scale B2B SaaS / Enterprise-level Products

Preferred

• Preferred (Experience) - Automotive, Retail or Dealerships domain experience
• Preferred (Companies) - Linkedin, Blikit, Intuit, Razorpay, Workday, Octa, Posman, Oracle, Walmart and similar companies

Preferred Companies

Linkedin, Blikit, Intuit, Razorpay, Workday, Octa, Posman, Oracle, Walma

Join the MachineHack - AIM Media House Team

At MachineHack, we craft AI-powered platforms and products that push the boundaries of

learning and innovation. From MachineHack (the hackathon hub) to CloudLab (hands-on AI

playground) to Datalyze (data-driven insights), plus countless experimental AI projects, we’re

always building, always shipping.

We’re not just coding software, we’re creating experiences where people can learn, compete, and create. If you’re passionate about solving problems, experimenting with AI, and vibing with a team that learns every day, you’ll feel right at home here

Why Work With Us?

● Be part of a fast-moving AI-first team where new ideas turn into products quickly.

● Work with modern tech stacks across AI, backend, frontend, and DevOps.

● Collaborate with engineers who are learners first,humble, supportive, and curious.

● Opportunity to contribute to high-impact platforms used by thousands in the AI/ML community.

● A culture that values learning > titles and team vibe > ego.

Our Tech Playground

We don’t shy away from complexity. We thrive in it. Here’s what we love working with:

● Backend & AI: Node.js, Python, TypeScript, Low-Level System Design, DSA, Prompt Engineering

● Frontend: React, Next.js, TypeScript

● DevOps & Cloud: AWS (EC2, Lambda, Terraform, CI/CD), Docker, Kubernetes, Helm Charts

● Testing & Quality: Playwright, Selenium, Unit Testing frameworks

● Infra & Systems: Container orchestration, Virtual Machines, AWS Infra Deployment

● Bonus Points: ML/AI model experience, guiding juniors, proven UX understanding

What Makes You a Good Fit

● 2–6 years of experience in software development

● Strong grounding in JS, Python, Node, and cloud-native tools

● Comfortable with system design, backend architecture, and team collaboration

● Can mentor juniors and handle multiple projects at once

● Fluent in English and able to communicate ideas clearly

● Humble, supportive, approachable,like a teammate and a friend

● Excited to learn, build, and experiment in AI projects

● Bonus: Some ML exposure (but not mandatory)

Description: 

As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights. 

Key Responsibilities: 

1. Team Leadership: 

a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management. 

b. Foster a culture of innovation, collaboration, and continuous learning within the team. 

2. Data Pipeline Development (Google Cloud Focus): 

a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.

b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP. 

3. Data Architecture and Optimization: 

a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently. 

b. Optimize data storage, processing, and retrieval for maximum 

performance and cost-effectiveness on GCP. 

4. Data Governance and Quality: 

a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues. 

5. Cross-functional Collaboration: 

a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights. 

b. Participate in discussions regarding data strategy and provide technical expertise. 

6. Documentation and Best Practices: 

a. Create and maintain documentation for data engineering processes, standards, and best practices. 

b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed. 

Qualifications 

● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 

● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform. 

● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage. 

● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java. 

● Excellent problem-solving and communication skills. 

● Leadership experience and the ability to manage and mentor a team.

About the Company

iTech India is a premier digital transformation services organization established in 2003. With over 21 years of operations, we have achieved significant milestones by serving a diverse range of domestic and international clients. Our team of over 400 employees operates from multiple locations. Our mission is to drive the success of our clients by delivering innovative solutions and exceptional service. We specialize in providing end-to-end digital transformation services that enable businesses to leverage cutting-edge technologies and optimize their operations. Our expertise spans across various domains, including software development, IT consulting, data analytics, and more. Join us at iTech India, where we are committed to making a difference through technology and innovation.

About the Role:

We are looking for ambitious sales professionals to join our team. The Inside sales executive is responsible for bringing clients onboard in the US Market. They will be creating visibility through high volume of Lead Generation, cold calling, targeted email campaigns and networking.

Key Responsibilities:

• Understand offerings clearly to effectively communicate with prospects and result oriented and aggressive.
• Know and understand the assigned territory.
• Validate and Manage assigned Target Accounts on CRM.
• Effective Prospecting (via cold calling, inbound calls, emailing, and networking).
• Tailor pitch according to account/contact profile and effectively engage a prospect (at various stages of sales cycle cold call/follow-up).
• Good Knowledge of tools like LinkedIn Sales Navigator, ZoomInfo & other tools.
• Qualify by BANT (Budget Authority Need & Time).
• Present value prop over telecon and web sessions to Leaders as per the account profiling.
• Engage the Sales team / Support Team as and when needed.
• Working with internal teams to get SOW/Proposals in line with client discussions Negotiation/Closure.
• Work closely with Sales Manager and support in engaging with Key Accounts by qualifying prospects and drive new opportunities.
• Strives to meet or exceed Lead targets on a daily, weekly, monthly, and quarterly basis.

Key Requirements and Skills

• A bachelor’s degree in Sales and Marketing or an MBA with Sales and Marketing Specialization.
• 2 - 5 years’ experience in IT Services Sales for International markets.
• Excellent communication skills (especially engaging customers over the phone and email).
• Organized, disciplined, and a Hunter by choice.
• Key Skills: Business Development, Inside Sales, International Sales, and Sales

Responsibilities:

-Manage and oversee the day-to-day operations of a WORKIE location or multiple locations.

- Ensure the smooth functioning of facilities, services, and amenities provided to members.

- Handle member inquiries and resolve operational issues promptly.

- Collaborate with the community team to create a positive and productive workspace environment.

- Oversee facility maintenance and coordinate with vendors.

- Assist in budget management and cost control.

- Implement operational policies and procedures.

- Maintain high levels of member satisfaction through exceptional service delivery.

- Support and contribute to community-building efforts within the WORKIE space.

Your skills and experience should cover:

• 5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).

• Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.

• 5+ years of experience using one or more modern programming languages (Python, Node.js).

• Hands-on experience migrating data to the AWS cloud platform

• Experience with Scrum/Agile methodology.

• Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)

• Experience with AWS Data Storage Tools.

• Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.

• Experience working with GIT, or similar tools.

• Ability to communicate and represent AWS Recommendations and Standards.

The following areas are highly advantageous:

• Experience with Docker

• Experience with PostgreSQL database