Data Science
Python
Machine Learning (ML)
Docker
Amazon Web Services (AWS)Review Criteria
- Strong Data Scientist/Machine Learnings/ AI Engineer Profile
- 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
- Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
- Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
- Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
- Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
- Preferred (Company) – Must be from product companies
Job Specific Criteria
- CV Attachment is mandatory
- What's your current company?
- Which use cases you have hands on experience?
- Are you ok for Mumbai location (if candidate is from outside Mumbai)?
- Reason for change (if candidate has been in current company for less than 1 year)?
- Reason for hike (if greater than 25%)?
Role & Responsibilities
- Partner with Product to spot high-leverage ML opportunities tied to business metrics.
- Wrangle large structured and unstructured datasets; build reliable features and data contracts.
- Build and ship models to:
- Enhance customer experiences and personalization
- Boost revenue via pricing/discount optimization
- Power user-to-user discovery and ranking (matchmaking at scale)
- Detect and block fraud/risk in real time
- Score conversion/churn/acceptance propensity for targeted actions
- Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
- Design and run A/B tests with guardrails.
- Build monitoring for model/data drift and business KPIs
Ideal Candidate
- 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
- Proven, hands-on success in at least two (preferably 3–4) of the following:
- Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
- Fraud/risk detection (severe class imbalance, PR-AUC)
- Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
- Propensity models (payment/churn)
- Programming: strong Python and SQL; solid git, Docker, CI/CD.
- Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
- ML breadth: recommender systems, NLP or user profiling, anomaly detection.
- Communication: clear storytelling with data; can align stakeholders and drive decisions.
Shubham Vishwakarma
Full Stack Developer - Averlon
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About the Role
We are looking for a motivated Junior Project Engineer to support project execution, production planning, and coordination activities. The role is ideal for candidates looking to build a career in project management within the pharma machinery industry.
Qualifications
• Degree / Diploma in Mechanical Engineering Key Skills
• Basic knowledge of fabrication and production processes
• Understanding of engineering drawings
• Good communication and coordination skills
• Strong time management and planning abilities
• Problem-solving mindset
Key Responsibilities
• Assist in planning and scheduling production and project activities
• Support in managing timelines and resource allocation
• Coordinate with internal teams for smooth execution
• Ensure adherence to quality standards and client requirements
• Monitor day-to-day production and project progress
• Assist in preparation of reports and documentation
• Support implementation of process improvements
• Coordinate with clients for updates and execution support
• Help in resolving basic manufacturing and operational issues
Autosys Engineer with EEM.
Mandatory Technology: Autosys R12 & above, EEM (Embedded Entitlements Manager), Linux, MSSQL Server, GitLab, Ansible
Roles & Responsibilities:
- Design, build, and integrate new Autosys instances within existing enterprise ecosystems.
- Develop, test, and deploy RPM and MSI packages for Autosys components
- Create and maintain Ansible playbooks for automated installation, configuration management, and patch deployment
- Manage agent deployment, configuration updates, and compliance enforcement across global infrastructure
- Provide Tier 3 and Tier 4 support for Autosys environments serving global operations
- Independently engineer, develop, and maintain proprietary codebases and automation frameworks
- Design and implement frameworks for internal tools development and web portals
- Develop automation solutions, self-service portals, and operational tooling
- Produce comprehensive technical documentation including runbooks, architecture diagrams, and knowledge transfer materials
- Troubleshoot complex issues across Autosys platforms and custom-developed solutions
Key Skills:
• Primary interest and expertise in IT infrastructure domain
Autosys & EEM
• Deep architectural understanding of Autosys components including Application Server, Event Server, and Agent infrastructure
• Expert-level proficiency in configuring Autosys environments from scratch, including complex job workflows, dependencies, and conditional logic
• Implementation and administration of Embedded Entitlements Manager (EEM) with role-based access controls, credential management, and audit compliance
• Configuration of real-time monitoring, alarm management, and integration with enterprise monitoring platforms
• Design and implementation of high-availability failover configurations and backup/restore procedures
• Understanding of TCP/IP protocols, port configurations, and firewall rules for Autosys and EEM communication
Database (MSSQL Server)
• Installation & Integration of MSSQL databases for Autosys Instances
• Implementation of backup strategies and point-in-time recovery procedures
• Analysis of database performance metrics, index optimization, and query execution plans
Operating System
• Strong understanding of Linux/Unix environments where Autosys agents and servers are deployed
• Administration skills for Windows-based Autosys components and agents
• Bash/KSH for system-level automation and integration tasks
• Development, testing, and deployment of RPM and MSI packages for Autosys agents and clients
CI / CD
• Creation and maintenance of Ansible playbooks for automated installation, configuration management, and patch deployment
• Agent deployment, configuration updates, and compliance enforcement
• Dynamic inventory configuration for multi-environment Autosys landscapes
• Automated deployment pipelines and configuration validation
• Proficiency in GitLab workflows including branching strategies, pull requests, and code review processes
• Experience with ServiceNow, CMDB, Grafana, and enterprise monitoring/ITSM platforms
Soft Skills
• Demonstrated ability to work independently and collaboratively within project teams
• Strong analytical and troubleshooting capabilities for complex, multi-system technical issues
• Excellent written and verbal communication skills for cross-functional collaboration with application teams, DBAs, and infrastructure engineers
• Proven capability to develop and document procedures for production releases, feature enhancements, and operational process documentation for steady-state service management
• Good communications and interpersonal skills
Key Competencies/Behaviors:
• Demonstrated ability to work independently with minimal supervision and take ownership of technical initiatives
• Excellent written and verbal communication skills for effective stakeholder engagement and technical documentation
• Flexible and responsive to changing business requirements, technologies, and operational priorities
• Strong team player with proven ability to work effectively in cross-functional, global teams
• Service-focused mindset with capability to perform effectively in high-pressure, production-critical environments
• Proactive identification of technical and operational risks with ability to propose timely mitigation actions
• Strong technical writing skills for reports, runbooks, and formal documentation
📢 We're Hiring: Community Development Manager at Sigma
🚀 Join the heartbeat of the most powerful founders' community!
At Sigma, we’re building something extraordinary—a thriving, high-impact network of 250+ ambitious founders creating category-defining startups. In just the past year, Sigma founders have launched, raised pre-seed capital, joined Y Combinator, and secured multimillion-dollar funding rounds. And we’re just getting started.
We’re looking for a Community Development Manager to own and elevate the Sigma experience—ensuring our founders, investors, and partners are deeply engaged, supported, and continuously benefiting from the network. If you thrive in dynamic environments, love working with visionary entrepreneurs, and want to play a pivotal role in shaping the future of startups, this is the role for you.
What You’ll Do:
- 🎯 Be the backbone of the Sigma community—ensuring founders get the connections, resources, and insights they need to succeed.
- 🤝 Engage top-tier investors & partners—build strong relationships with world-class VCs, angel investors, and operators who want to back the next generation of great startups.
- 🚀 Supercharge founder success—host high-impact events, curate key introductions, and provide direct support to help Sigma startups thrive.
- 🎤 Lead flagship community events—orchestrate our exclusive Demo Days, Investor Summits, AMAs, and intimate founder gatherings.
- 🌍 Expand our network—identify and onboard incredible founders, investors, and mentors who align with Sigma’s mission.
- 🔥 Spot and create opportunities—from partnerships with top accelerators to job placements at breakout startups, you’ll shape initiatives that drive massive impact.
Who You Are:
- You’re a natural community builder—energized by bringing people together and creating meaningful connections.
- You have a deep passion for startups and venture capital—you get what it takes to build from zero to one and love being at the center of the action.
- You’re an exceptional communicator—equally comfortable engaging with first-time founders and seasoned investors.
- You’re a self-starter—proactive, resourceful, and always thinking one step ahead.
- You thrive in fast-paced, high-growth environments—Sigma moves fast, and so do you.
- You have experience in community management, partnerships, or ecosystem development (VC, accelerator, founder communities, or tech organizations are a big plus).
Why Sigma?
✅ Unparalleled access—work closely with the brightest founders and top-tier investors in the startup ecosystem.
✅ Massive career growth—be at the forefront of startup-building and venture investing.
✅ High-impact work—your role directly contributes to the success of groundbreaking startups.
✅ A dynamic, no-bureaucracy culture—move fast, execute big ideas, and make a real difference.
💡 This is more than a job—it’s an opportunity to shape the future of startups and venture capital.
📍 Location: Remote (with opportunities to travel for key events)
💰 Compensation: Competitive salary + upside in the form of other incentives (let’s talk!)
Ready to build something amazing? Apply now and let’s talk! 🚀
Job Description:
- Prospecting, generating, qualifying, and following up on leads and appointment setting for the external sales team
- Direct email marketing/cold calling to key clients and prospects
- Collaboratively work with the sales, and marketing team to develop lead generation strategies to generate lead opportunities with prospective customers
- Initiates lead/demand generation strategies that include inbound/outbound sales and marketing campaigns and initiatives
- Research, track, maintain, and update leads
- Develop a strong knowledge of the company’s products and services to facilitate the sales process
- Achieving sales lead generation and appointment quota
Key Responsibilities:
- Inside Sales
- Lead Generation
- Executive Email marketing and Cold calling
- International sales experience preferred
- Relevant IT/ERP sales experience preferred
Requirements:
- Minimum 2 years of Sales experience in the US market
- Bachelor's or relevant degree
- Need to work in US timings
- Immediate availability
PHP
Javascript
React.js
Angular (2+)
AngularJS (1.x)Job Responsibilities:
- You will build new features across everything from the backend logic to UI components.
- Working on back-end web development using core PHP/ Laravel framework.
- You have a good understanding of backend and database technologies. This means that you are comfortable owning and working on a feature end-to-end on both its frontend and backend parts.
- Working on database management and operations using MySQL
- Explore new technologies, new platforms, API integration and development, database development, etc. to help the company build desired product
- Ability to write clean, scalable, and highly testable code
- Solid understanding of software development best practices
C++Job Description:
Strong on C++, Linux Background
Strong on Algorithms
Hands on experience on Data Structure & Multithreading
Vue.jsAngularJS (1.x)Angular (2+)React.jsJavascript- Expertise in Java server-side development: Core Java, Golang Servlets, Spring Core, React JS, Spring Boot with GRPC, and Hibernate.
- Exposure to microservice design patterns.
- Good knowledge in Data Structures, Algorithms, Object-Oriented Design, Analysis, Design patterns, and other computer science concepts.
- Knowledge of GraphQL, Kafka, PostgreSQL will be added advantage.
React.js
Java
ScalaJavascript
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon