Business Development Executive

We are hiring a Senior Data Engineer with strong expertise in Databricks, Azure Data Factory, and PySpark.

Must Have:

• Databricks, ADF, PySpark
• Mastery: AWS/Azure/SAP, ELT, Data Modeling
• Skills: Data Integration & Processing, GitHub/GitHub Actions, Azure DevOps, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest

Responsibilities:

• Build and optimize scalable data pipelines
• Architect & implement ELT/data models
• Manage data ingestion, integration, and processing workflows
• Enable CI/CD with DevOps tools
• Ensure code quality & reliability

Strong HR Generalist profiles

Mandatory (Experience 1) – Must have 1+ years of relevant experience as an HR Generalist / HR Executive / HR Operations role

Mandatory (Experience 2) – Must have hands-on experience in end-to-end recruitment, including job postings, resume screening, interview coordination, and reference checks

Mandatory (Experience 3) – Must have practical exposure to employee onboarding and offboarding processes, documentation, and employee lifecycle management

Mandatory (Experience 4) – Experience in day-to-day HR operations, maintaining employee records, HR databases, and coordination with internal stakeholders.

Mandatory (Tools) – Must be proficient in MS Office and have working experience with ATS and HRIS systems

Mandatory (Soft Skills) – Strong interpersonal, communication, organizational, and multitasking skills with high attention to detail

Mandatory (Company) - Product companies

Required Skills: Advanced AWS Infrastructure Expertise, CI/CD Pipeline Automation, Monitoring, Observability & Incident Management, Security, Networking & Risk Management, Infrastructure as Code & Scripting

Criteria:

• 5+ years of DevOps/SRE experience in cloud-native, product-based companies (B2C scale preferred)
• Strong hands-on AWS expertise across core and advanced services (EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, VPC, IAM, ELB/ALB, Route53)
• Proven experience designing high-availability, fault-tolerant cloud architectures for large-scale traffic
• Strong experience building & maintaining CI/CD pipelines (Jenkins mandatory; GitHub Actions/GitLab CI a plus)
• Prior experience running production-grade microservices deployments and automated rollout strategies (Blue/Green, Canary)
• Hands-on experience with monitoring & observability tools (Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.)
• Solid hands-on experience with MongoDB in production, including performance tuning, indexing & replication
• Strong scripting skills (Bash, Shell, Python) for automation
• Hands-on experience with IaC (Terraform, CloudFormation, or Ansible)
• Deep understanding of networking fundamentals (VPC, subnets, routing, NAT, security groups)
• Strong experience in incident management, root cause analysis & production firefighting

Description

Role Overview

Company is seeking an experienced Senior DevOps Engineer to design, build, and optimize cloud infrastructure on AWS, automate CI/CD pipelines, implement monitoring and security frameworks, and proactively identify scalability challenges. This role requires someone who has hands-on experience running infrastructure at B2C product scale, ideally in media/OTT or high-traffic applications.

 Key Responsibilities

1. Cloud Infrastructure — AWS (Primary Focus)

• Architect, deploy, and manage scalable infrastructure using AWS services such as EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, ELB/ALB, VPC, IAM, Route53, etc.
• Optimize cloud cost, resource utilization, and performance across environments.
• Design high-availability, fault-tolerant systems for streaming workloads.

2. CI/CD Automation

• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Automate deployments for microservices, mobile apps, and backend APIs.
• Implement blue/green and canary deployments for seamless production rollouts.

3. Observability & Monitoring

• Implement logging, metrics, and alerting using tools like Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.
• Perform proactive performance analysis to minimize downtime and bottlenecks.
• Set up dashboards for real-time visibility into system health and user traffic spikes.

4. Security, Compliance & Risk Highlighting

• Conduct frequent risk assessments and identify vulnerabilities in:

  o Cloud architecture

  o Access policies (IAM)

  o Secrets & key management

  o Data flows & network exposure

• Implement security best practices including VPC isolation, WAF rules, firewall policies, and SSL/TLS management.

5. Scalability & Reliability Engineering

• Analyze traffic patterns for OTT-specific load variations (weekends, new releases, peak hours).
• Identify scalability gaps and propose solutions across:
•   o Microservices
•   o Caching layers
•   o CDN distribution (CloudFront)
•   o Database workloads
• Perform capacity planning and load testing to ensure readiness for 10x traffic growth.

6. Database & Storage Support

• Administer and optimize MongoDB for high-read/low-latency use cases.
• Design backup, recovery, and data replication strategies.
• Work closely with backend teams to tune query performance and indexing.

7. Automation & Infrastructure as Code

• Implement IaC using Terraform, CloudFormation, or Ansible.
• Automate repetitive infrastructure tasks to ensure consistency across environments.

Required Skills & Experience

Technical Must-Haves

• 5+ years of DevOps/SRE experience in cloud-native, product-based companies.
• Strong hands-on experience with AWS (core and advanced services).
• Expertise in Jenkins CI/CD pipelines.
• Solid background working with MongoDB in production environments.
• Good understanding of networking: VPCs, subnets, security groups, NAT, routing.
• Strong scripting experience (Bash, Python, Shell).
• Experience handling risk identification, root cause analysis, and incident management.

Nice to Have

• Experience with OTT, video streaming, media, or any content-heavy product environments.
• Familiarity with containers (Docker), orchestration (Kubernetes/EKS), and service mesh.
• Understanding of CDN, caching, and streaming pipelines.

Personality & Mindset

• Strong sense of ownership and urgency—DevOps is mission critical at OTT scale.
• Proactive problem solver with ability to think about long-term scalability.
• Comfortable working with cross-functional engineering teams.

Why Join company?

• Build and operate infrastructure powering millions of monthly users.

• Opportunity to shape DevOps culture and cloud architecture from the ground up.

• High-impact role in a fast-scaling Indian OTT product.

Job Title: Pre-Sales Engineer

Location: Navi Mumbai, Vashi

Department: BMS (Building Management System)

Reports To: Regional Sales Manager

Job Summary:

We are seeking a dynamic and technically proficient Pre-Sales Engineer to join our team. In this role, the individual will be responsible for providing technical expertise and support to our sales teams, ensuring that customers receive accurate, tailored solutions that meet their needs. The individual will collaborate with internal and external stakeholders to drive sales growth, manage quotations, and ensure smooth execution of customer orders. The ideal candidate will have a strong technical background, sales aptitude, and excellent interpersonal skills.

Key Responsibilities:

 Technical Expertise: Leverage technical knowledge to support sales teams and provide accurate, technical solutions to meet customer needs.

 Commercial Awareness: Apply commercial understanding to enhance the precision of deals and customer proposals.

 Customer Solutions: Understand customer requirements and present customised technical solutions that align with their business goals.

 Collaboration: Work closely with sales teams to build strong customer relationships and drive revenue growth.

 Communication: Exhibit excellent communication skills, creating compelling sales presentations and effectively collaborating with customers, vendors, and internal teams.

 Solution Development: Develop solution architecture, detailed equipment lists, and presentation materials to meet customer requirements.

 Customer Support: Assist customers with technical issues related to equipment setup and resolve any post-sales concerns.

 Negotiation: Facilitate negotiations with potential customers, aligning technical and commercial aspects for successful deals.

 Quotation Management: Prepare accurate quotations based on customer requirements and ensure timely delivery through Regional Sales Managers.

 Vendor Coordination: Negotiate with vendors to secure backup quotes and select appropriate vendors based on technical product needs.

 Performance Tracking: Track issued quotations to monitor win rates, processing time, and the proportion of clean orders received.

 Internal Support and Coordination: Provide technical sizing, product selection, and support to Regional Sales Managers, ensuring timely and accurate quotations.

 Sales Support: Assist Regional Sales Managers and Dealers in technical discussions with customers to facilitate deal closure.

 Order Processing: Review purchase orders, ensure compliance with submitted offers, and coordinate with customers for amendments when necessary.

 Execution Handover: Once orders are finalized, pass on clean orders along with all required documentation to the Sales Operations Manager (SOM) for execution.

 Team Collaboration: Partner with the Regional Sales Manager to meet and exceed assigned regional sales targets.

Qualifications and Skills Required:

 Strong technical skills and comfort in leading technical discussions.

 Sales aptitude with a keen interest in interacting with customers.

 Proactive approach with a strong customer focus and problem-solving skills.

 Ability to quickly learn and adapt to new products and technologies.

 Excellent interpersonal and teamwork abilities.

 Knowledge of the PLC/Controller BMS industry preferred, though experience in HVAC is also acceptable.

 Familiarity with commercial terms and conditions and their application in sales processes.

 Proficiency in MS Office tools, including Word, Excel, PowerPoint, and Project.

Preferred Qualifications and Experience:

 Engineering Degree (Electrical, Electronics, Mechanical)

 Strong communication and presentation skills.

 Familiarity with basic PLC and DDC design and software applications.

 Experience: 3-5 years of relevant in BMS or HVAC/ELV industry

This role offers the opportunity to be part of a team that drives innovation and customer

satisfaction. We are looking for highly motivated individual with a passion for both technical

and sales functions.

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Key Responsibilities:

• Develop and fine-tune large language models for diverse applications.
• Implement and optimize LLMs to create efficient, scalable solutions.
• Build intelligent agents that utilize LLMs to interact and perform complex analytical tasks.
• Collaborate with cross-functional teams to integrate LLM technology into our products and services.
• Conduct research to stay ahead of the latest trends and advancements in generative AI and machine learning.
• Document and present model development processes and results for stakeholders.

Required Qualifications:

• 4-8 years of experience in machine learning, specifically with generative AI and large language models.
• Strong proficiency in Python and familiarity with AI and ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Experience in fine-tuning LLMs and deploying AI models in a production environment.
• Proven ability to design and implement AI agents using LLMs.
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Key Responsibilities:

• Setting up processes related to finance, accounts, vendor payments, payroll and implementation of those processes across the organization to prevent fraud and ensuring efficient operations

• Preparing financial statements (quarterly, annual) and MIS dashboards for management and investors

• Preparing and analyzing budgets, financial data, cash flows, and providing insights for business planning

• Work closely with cross-functional teams to ensure financial data accuracy, budget planning

• Manage the finance and accounting team, including hiring, training, and developing of team

• Manage relationships with external partners, such as banks and NBFCs, auditors, tax consultants, and regulatory bodies

Requirements:

• Full ownership and accountability, be instrumental in building the organization and growing with the organization for a leadership role

• CA or ICWA is mandatory

• 5+ years of experience in finance and accounting, preferably in fintech, banks, microfinance, NBFC

• Strong Excel or google sheet skills

• Experience in managing financial operations, budgeting, forecasting, and financial planning

• Strong communication and interpersonal skills, with the ability to build relationships with

• Excellent analytical and problem-solving skills

• Experience in managing and developing a team

• Understand the business requirements and prepare the requirements documents
• Conduct knowledge transfer sessions with the development team
• Will be responsible for creating user stories and test cases
• Perform Software testing, GUI, Functional Testing, and Usability testing
• Work closely with the development and QA teams to ensure that the right product goes out to the customers

Requirements

• Excellent Communication
• 2+ Years of experience
• Should be able to conceptualize ideas and propose solutions to customers
• Should have experience creating wireframes
• Good in documentation
• Good understanding of SDLC
• worked on multiple systems