Content Writer

Job Title: Data Engineer

About the Role

We are looking for a highly motivated Data Engineer to join our growing team and play

a critical role in shaping the data foundation of different software platforms. This role sits

at the intersection of data engineering, product, and business stakeholders, and is

responsible for building reliable data pipelines, delivering actionable insights, and

ensuring data quality across systems.

You will work closely with internal teams and external partners to translate business

requirements into scalable data solutions, while maintaining high standards for data

integrity, performance, and usability.

Key Responsibilities

Data Engineering & Architecture

 Design, build, and maintain scalable data pipelines and ETL/ELT processes

 Develop and optimize data models in PostgreSQL and cloud-native

architectures

 Work within AWS ecosystem (e.g., S3, Lambda, RDS, Glue, Redshift, etc.) to

support data workflows

 Ensure efficient ingestion and processing of large-scale datasets

Business & Partner Integration

 Collaborate directly with business stakeholders and external partners to

gather requirements and deliver reporting solutions

 Translate ambiguous business needs into structured data models and

dashboards

 Integrate with third-party APIs and other external data sources

Data Quality & Governance

 Implement robust data validation, monitoring, and QA processes

 Ensure consistency, accuracy, and reliability of data across the platform

 Troubleshoot and resolve data discrepancies proactively

Reporting & Analytics Enablement

 Build datasets and pipelines that power dashboards and reporting tools

 Support internal teams with ad hoc analysis and data requests

 Partner with product and engineering teams to embed data into the SaaS product experience

Performance & Scalability

 Optimize queries, pipelines, and storage for performance and cost efficiency

 Continuously improve system scalability as data volume and complexity grow

Required Qualifications

 3–6+ years of experience in Data Engineering or related role

 Strong proficiency in Python for data processing and scripting

 Advanced experience with PostgreSQL (query optimization, schema design)

 Hands-on experience with AWS data architecture (S3, RDS, Lambda, Glue,

Redshift, etc.)

 Experience integrating with external APIs

 Solid understanding of ETL/ELT pipelines, data modeling, and warehousing

concepts

 Experience working cross-functionally with business stakeholders

Preferred Qualifications

 Experience in AdTech, eCommerce, or SaaS platforms

 Familiarity with BI tools (e.g., Looker, Tableau, Power BI)

 Experience with workflow orchestration tools (e.g., Airflow)

 Understanding of data governance and compliance best practices

 Exposure to real-time or streaming data pipelines

What We’re Looking For

 Strong problem-solver who can operate in a fast-paced, ambiguous

environment

 Ability to balance technical depth with business context

 Excellent communication skills — able to work directly with non-technical

stakeholders

 Ownership mindset with a focus on execution and quality

Senior Cloud & ML Infrastructure Engineer

Location: Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi

Experience: 6–10+ Years

Night Shift - 9 pm to 6 am

About the Role:

We’re looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal forsomeone passionate about solving complex platform engineering challenges across AWS, witha focus on model orchestration, deployment automation, and production-grade reliability. You’llarchitect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.

Key Responsibilities:

● Architect and manage end-to-end ML infrastructure using SageMaker, AWS StepFunctions, Lambda, and ECR

● Design and implement multi-region, highly-available AWS solutions for real-timeinference and batch processing

● Create and manage IaC blueprints for reproducible infrastructure using AWS CDK

● Establish CI/CD practices for ML model packaging, validation, and drift monitoring

● Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, andcompliance standards

● Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale

● Collaborate on data lake and analytics integration

● Serve as a technical mentor and guide AWS adoption patterns across engineeringteams

Required Skills:

● 6+ years designing and deploying cloud infrastructure on AWS at scale

● Proven experience building and maintaining ML pipelines with services like SageMaker,ECS/EKS, or custom Docker pipelines

● Strong knowledge of networking, IAM, VPCs, and security best practices in AWS

● Deep experience with automation frameworks, IaC tools, and CI/CD strategies

● Advanced scripting proficiency in Python, Go, or Bash

● Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)

Nice to Have:

● Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA deployments

● Experience designing systems for physical robot fleet telemetry, diagnostics, and control

● Familiarity with multi-stage production environments and robotic software rollout processes

● Competence in frontend hosting for dashboard or API visualization

● Involvement with real-time streaming, MQTT, or edge inference workflows

● Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices

Job Summary:

We are looking for a dynamic and results-driven Business Development Executive with 1 to 2 years of experience in IT sales to join our team. The ideal candidate will have a strong background in selling IT solutions and services, with a proven track record of achieving sales targets and building long-term client relationships.

Key Responsibilities:

● Identify and generate new business opportunities through various channels including networking, cold calling, and market research.

● Develop and maintain a robust sales pipeline to meet or exceed sales targets.

● Understand customer needs and requirements to propose effective IT solutions and services.

● Prepare and deliver detailed sales proposals and contracts.

● Negotiate and close sales deals, ensuring profitability and customer satisfaction.

● Build and nurture relationships with existing clients to encourage repeat business and referrals.

● Stayup-to-date with industry trends, competitor activities, and new product developments.

● Provide regular sales reports and forecasts to the BDM.

Qualifications and Skills:

● Bachelor's degree in Business, Marketing, Information Technology, or a related field.

● Minimum of 1to 2 years of experience in IT sales or business development.

● Proven track record of meeting or exceeding sales targets.

● Strong understanding of IT products and services, including software, hardware, and cloud solutions.

● Excellent communication, presentation, and negotiation skills.

● Ability to build and maintain strong client relationships.

● Self-motivated, with a proactive approach to identifying and pursuing sales opportunities.

● Strong problem-solving skills and ability to think strategically

1. Sr. Technical Writer/ Product Documentation Position

Job Description

We’re searching for an experienced technical writer to join our team and help take our client-focused services to new

heights. An ideal candidate, with proven experience Individual to have ability to evaluate and analyze complex

information and document in simple terms.

Skills and Qualifications

 Bachelor’s degree in B.E/ B.Tech/ BCA.

 6-7 years industry experience as an effective technical writer

 Proven ability to quickly learn and understand complex topics.

 Previous experience writing documentation and procedural materials for multiple audiences. Must have

experience in MSTP standards.

 Have experience in developing User guides, Troubleshooting or FAQ guides, Design guides and API

technical reference guides.

 Superior written and verbal communication skills, with a keen eye for detail.

 Experience working with engineering to improve user experience: design, UI, and help refine content and

create visuals and diagrams for technical support content.

 Proven ability to handle multiple projects simultaneously, with an eye for prioritization.

 Firm understanding of the Document development life cycle (DDLC)

 Good to have Certification through the Society for Technical Communicators (STC)

 Experience in using Tech writing tools like Robohelp, (preferred), FrameMaker, Madcap Flare, Mulesoft,

Design Center or other Contemporary tools to create documentation.

 Good to have experience in understanding and writing API documentation in specialized tools like

Swagger (Open API 3.0) or Postman for SOAP & REST APIs.

Objectives:

 Develop comprehensive documentation that meets organizational standards.

 Obtain a deep understanding of products and services to translate complex product information into simple,

polished, and engaging content.

 Write user-friendly content that meets the needs of the target audience, turning insights language that sets

our users up for success.

 Ability to improve search results using SEO techniques in Technical writing.

 Evaluate current content and develop innovative approaches for improvement.

 Research, outline, write and edit content, working closely across product portfolios and solutions to

understand requirements.

 Independently gather information from subject matter experts to develop, organize, and write procedure

manuals, technical specifications, and process documentation.

 Work with development and support leads to identify all documentation repositories, revise and edit, and

determine the best solution for data compilation and centralized storage.

 Research, create, and maintain information architecture templates that uphold organizational and legal

standards, and allow for easy data migration.

 Develop content in alternative media forms for maximum usability, with a consistent and cohesive voice

across all documentation.

Development Projects

Backlog Create: Work with cross functional teams to breakdown the quarterly objectives into tasks and create backlog in Jira

Groom: Review the backlog regularly for each product / team and keep the items up-to-date and prioritized

Planning: From the backlog create sprint plans for all our products and cross functional teams every two weeks

Estimation: Ensure all the tasks in sprint have assignments, estimates added in Jira and the time spent is recorded

• Ensure all the tasks in sprint have start and end dates - Scheduling, Tracking, Releases
• Work with team to plot the tasks in the sequence as they would be delivered to ensure the planning is realistic
• Attend regular sprint meetings and monitor the progress against the plan o Find out the dependencies and work with cross functional teams to resolve them. 
• Find out the risks, create plans to mitigate them
• Work with cross functional teams to determine the scope of each release o Prepare release plans
• Review the release progress regularly 
• Manage the dependencies and risks

Documentation

• Process Documents : Document the processes that the teams follow and their life-cycle

• Product Documents : Work with cross functional teams to ensure the documentation artifacts are created for each release, reviewed and signed off before the release

Reporting : Weekly Progress Reports o Sprint Reports

Communication

Apart from regularly reporting the project manager need to be able to communicate with teams and management on a day-to-day basis on ongoing product development and release activities to be effective

Customer Projects

• Meet regularly with customers to understand the issues, solution to the use-cases, update implementation schedule and key milestones                                                                                                                   
• Work with customers to plans, schedule and execute the deployment, integration, upgrade, migration activities                                                                                                                                                                                                                                                                                                                 Obtain feedback on product and service performance and take them to management and cross functional teams to ensure they are added to the product backlog                                                                                                                   
• Serve as the primary voice of the customers within Acceldata and advocate on customers’ behalf                                                                                                                   Engage in and coordinate efforts to provide customer support and solutions by leading cross-functional efforts to ensure customer success                                                                                                                   
• Attend periodic business review meetings, as required, to provide progress on specific customer accounts                                                                                                                   Develop and manage improvement strategies for customer success. Hold retrospective reviews after every key milestone, document the outcomes and ensure the actions are implemented                                                                                                                   
• Coordinate with the Site Reliability team to drive value with key accounts
• Prepare periodical reports on customer’s health and report out to management to identify customer experience risks and drive internal change to support continuous customer experience improvement                                                                                                                                                                                            

Knowledge, Skills and Experience:                                                                                                    

• To succeed at this job, you must have 5 - 8 years of experience in managing development projects   
• 3 - 5 years of experience in managing releases /roll out to customers 
• Be Customer Success driven to Have strong leadership and influencing skills 
• Have the ability to track and manage multiple customer programs from inception to implementation o Be able to collect, analyze, present data in support of recommendations 
• Possess the ability to foster working relationships and establish trust across the organization both internally and with customers.

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.

Job brief

We are looking for a full stack developer to produce scalable software solutions. You’ll be part of a team that’s responsible for the full software development life cycle, from conception to deployment.

As a full stack developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

Responsibilities

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

Requirements

• 3+ years of experience as a full stack developer
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Good communication
• Attention to detail
• Enthusiasm and aptitude to learn new technologies
• Team player
• Degree in Computer Science