- Have outstanding written and spoken English and experienced in writing business letters for the organization, technical documentation including manuals.
- Responsible for a full range of activities which ensure the operational effectiveness and excellence of the business unit.
- Ability to Review, analyze, and create detailed documentation of business systems and user needs, including workflow and steps required to develop or modify computer programs.
- Have the ability to Design & develop new process & provide expert advice on and/or assist in implementing new processes.
- Have vast experience in proofing and editing.
- Excellent computer skills and expertise in using Microsoft Office tools.
- Have excellent research skill and can use Internet research tools in an efficient way
- Have good Knowledge and experience in SEO techniques.
- Comfortable and ease with using popular web technologies.
- Work with multiple Business Departments and IT teams to capture requirements and help designing and implementing the solution
- Ability to communicate effectively both over the phone and in person & Strong research skills developed through work experience and course work.
Please refer to this link for more details; https://www.senseicrm.com/" target="_blank">https://www.senseicrm.com/
Shubham Vishwakarma
Full Stack Developer - Averlon
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Role & Responsibilities
We are seeking a seasoned Solution Architect to design and lead AI infrastructure and private cloud initiatives. This role focuses on building scalable, high-performance environments to support AI/ML workloads, data platforms, and enterprise applications. The ideal candidate will have deep expertise in private cloud architectures, GPU-based computing, and modern data center technologies, along with the ability to align infrastructure strategy with business and AI innovation goals.
Key Responsibilities-
- Architect and design AI-ready infrastructure platforms, including GPU clusters, high-performance computing (HPC), and storage systems
- Define and implement private cloud solutions using technologies such as OpenStack and VMware
- Design scalable environments for AI/ML workloads, including training and inference pipelines
- Collaborate with data scientists, platform engineers, and infrastructure teams to translate AI requirements into infrastructure solutions
- Drive infrastructure modernization initiatives, including containerization and orchestration using Kubernetes
- Ensure high availability, performance, scalability, and security of AI platforms
- Design storage solutions optimized for AI workloads (e.g., distributed file systems, object storage)
- Implement networking architectures for high-throughput, low-latency data transfer
- Define automation strategies using Infrastructure as Code (IaC) and configuration management tools
- Establish governance, standards, and best practices for AI infrastructure and private cloud environments
- Evaluate emerging technologies and recommend solutions aligned with enterprise strategy
- Provide technical leadership and guidance across architecture, design, and implementation phases
Ideal Candidate
- Strong Solution Architect – AI Infrastructure & Private Cloud profiles
- Mandatory (Experience 1) – Must have 8+years of experience in IT infrastructure, cloud, or data center architecture roles
- Mandatory (Experience 2) – Must have strong expertise in private cloud and virtualization (OpenStack, VMware vSphere) along with solid knowledge of Linux, networking, and storage architectures.
- Mandatory (Experience 3) – Must have hands-on experience designing AI/ML infrastructure, including GPU-based systems (e.g., NVIDIA platforms), HPC, and AI-optimized storage
- Mandatory (Experience 4) – Must have strong experience with containerization and orchestration (Docker, Kubernetes) and IaC/automation tools (Terraform, Ansible)
- Mandatory (Experience 5) – Must have experience designing scalable AI/ML environments for training/inference pipelines, with high-throughput, low-latency networking and distributed storage
- Mandatory (Experience 6) – Must have familiarity with hybrid cloud integration (AWS, Azure, or GCP) and proven ability to lead architecture design with strong stakeholder management.
- Mandatory (Skill) – Must have familiarity with hybrid cloud integration involving AWS, Azure, or GCP.
- Preferred (Skill 1) – Certifications in cloud (AWS/Azure/GCP), Kubernetes, or VMware/OpenStack, along with experience in MLOps platforms and AI lifecycle management
- Preferred (Skill 2) – Knowledge of high-performance networking (InfiniBand, RDMA) and exposure to data lake architectures and big data platforms
- Preferred (Skill 3) – Experience in large-scale enterprise or hyperscale environments.
NodeJS (Node.js)
MongoDB
ExpressIntegration of user-facing elements developed by front-end developers
with server-side logic
Writing reusable, testable, and efficient code
Design and implementation of low-latency, high-availability, and
performant applications
Implementation of security and data protection
Integration of data storage solutions
Skills And Qualifications
Strong proficiency with JavaScript
Knowledge of Node.js and frameworks available for it
Understanding the nature of asynchronous programming and its quirks
and workarounds
Good understanding of server-side templating languages
Good understanding of server-side CSS preprocessors
Basic understanding of front-end technologies, such as HTML5, and CSS3
Understanding accessibility and security compliance
User authentication and authorization between multiple systems,
servers, and environments
Integration of multiple data sources and databases into one system
Understanding fundamental design principles behind a scalable application
Understanding differences between multiple delivery platforms, such as
mobile vs. desktop, and optimizing output to match the specific
platform
Creating database schemas that represent and support business processes
Implementing automated testing platforms and unit tests
Proficient understanding of code versioning tools, such as Git
Key Responsibilities:
- Plan and execute offline marketing campaigns.
- Organize events, promotions, and partnerships.
- Create marketing materials for brands
- Track and report campaign performance.
- Manage budgets for marketing activities.
- Client relationship management
Requirements:
- Bachelor’s degree
- Strong communication and organizational skills.
- Ability to manage multiple tasks.
Benefits:
- Competitive pay
- Health insurance
- Opportunities to learn and grow
DATA ENGINEER
Overview
They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.
Responsibilities:
Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.
Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.
Optimize and tune the performance of data systems to ensure efficient data processing and analysis.
Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.
Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.
Implement and maintain data governance and security measures to protect sensitive data.
Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.
Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.
Qualifications:
Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.
Strong programming skills in languages such as Python, Java, or Scala.
Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.
Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).
Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).
Solid understanding of data modeling, data warehousing, and ETL principles.
Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).
Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
Excellent communication and collaboration skills to work effectively in a team environment.
Preferred Qualifications:
Advanced knowledge of distributed computing and parallel processing.
Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).
Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
Certification in relevant technologies or data engineering disciplines.
Data Science
Machine Learning (ML)
Python
Go Programming (Golang)Job Description:
We are looking for an exceptional Data Scientist Lead / Manager who is passionate about data and motivated to build large scale machine learning solutions to shine our data products. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modeling of terabytes of daily data for various use cases.
Location: Pune (Initially remote due to COVID 19)
*****Looking for someone who can start immediately / Within a month. Hands-on experience in Python programming (Minimum 5 Years) is a must.
About the Organisation :
- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.
- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom and India.
- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.
Qualifications:
• 8+ years relevant working experience
• Master / Bachelors in computer science or engineering
• Working knowledge of Python and SQL
• Experience in time series data, data manipulation, analytics, and visualization
• Experience working with large-scale data
• Proficiency of various ML algorithms for supervised and unsupervised learning
• Experience working in Agile/Lean model
• Experience with Java and Golang is a plus
• Experience with BI toolkit such as Tableau, Superset, Quicksight, etc is a plus
• Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Dask, Tensorflow, PyTorch, Keras, GCP ML Stack
• Exposure to modern Big Data tech such as Cassandra/Scylla, Kafka, Ceph, Hadoop, Spark
• Exposure to IAAS platforms such as AWS, GCP, Azure
Typical persona: Data Science Manager/Architect
Experience: 8+ years programming/engineering experience (with at least last 4 years in Data science in a Product development company)
Type: Hands-on candidate only
Must:
a. Hands-on Python: pandas,scikit-learn
b. Working knowledge of Kafka
c. Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)
d. Good on analytical & debugging skills
e. Strong communication skills
Desired (in order of priorities)
a.Go (Strong advantage)
b. Airflow (Strong advantage)
c. Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databases
d. Data structures, Algorithms
e. Experience with multi-threaded and thread sync concepts
f. AWS Sagemaker
g. Keras
NodeJS (Node.js)MongoDBExpress
What we expect of you:
- 4+ years of experience building scalable backends using Nodejs
- In-depth knowledge of any framework of Nodejs (i.e. Express, Hapi, Koa.js)
- Hands on experience with developing REST APIs using Node.js and any of the above framework
- Good understanding of standard authentication systems such as OAuth2 and JWT
- Should have experience with Socket.IO
- Should have understanding of Model, Caching, Async mechanisms
- Knowledge of server-side templating (e.g. Jade, Handlebars.js, etc.)
- Hands-on experience with implementing Role based User authentication and authorization system
- Understanding of Caching, Database Interactions, Middlewares
- Able to engineer the best performing solutions and always keeping scalability in mind
Must haves:
- Strong problem solving skills
- Passion for building robust systems that are engineered to handle failure scenarios, an attitude to maintain coding standards
- Strong advocate for producing quality software who makes sure issues are raised and resolved
What makes you a great fit for Aubergine:
- Knowledge of data structures and algorithms
- Hungry for more responsibility and knowledge
- Experience with at least one of the cloud platforms like AWS, GCP, Azure, Digital Ocean etc. (docker, Kubernetes, microservice good to have)
Skills: NodeJs
Experience required: 4+ years
Job Type: Full time/ Permanent
Perks and Benefits:
- Flexible shift timings
- Company-sponsored certifications.
- Team friendly culture
- Flat hierarchy
- Carrom, Table tennis games, Cricket Tournament Participation for interested employees
- Snack-filled pantry for team members
- Group Medical Insurance (*)
- 5 days working.
Employment Type
Full-time
PythonMachine Learning (ML)Data ScienceDo you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Being accountable for boosting performance management, growth mindset, and keeping happiness in culture intact.
- Creating a strategic onboarding & performance evaluation keeping human resources excited about the workplace and their growth and achievements.
- Creating a performance-driven culture by creating a robust performance awarding structure and policies.
- Observing and initiating ideas to create a happier & efficient workplace. Developing policies to keep organizational sanity.
- Ensuring grievance handling, company policies & compliance with labor laws and other binding provisions.
- Working with other department leaders and CXOs to design and improvise on structures, policies, and growth plans.
- Monitoring and presenting HR metrics and review the departmental budgets.
What you need to have:
- Masters degree in Human resource management.
- At least seven years of experience in human resource management.
- Previous work experience as a senior manager or similar position.
- Understanding of labor regulations or similar laws applicable.
- Excellent mentoring, coaching, and people management skills.
- Ability to work, manage, and meet competing deadlines in a fast-paced, high volume environment and on the deadline; aptitude for problem-solving and decision making needed
PHP
Laravel- Build innovative, state-of-the-art applications and collaborate with the User Experience (UX) team.
- Prepare and maintain all applications utilizing standard development tools
- Develop backend data services and contribute to increasing existing APIs
- Ability to act individually in a complex and fast-paced environment
- Closely work with the Product and QA teams to ensure smooth delivery
- Participate in solution designing with Tech leads and Systems Architects
- Document the development process, architecture, and standard components
- Coordinate with co-developers and keep project manager well informed of the status of development efforts
- Keep abreast of new trends and best practices in web development
- BE/BTech or some equivalent academic stance.
- 2-5 years’ experience
- A confident, self-starter, team player with drive, enthusiasm, and excellent interpersonal, communication, and negotiation skills
- Ability to manage yourself and be a self-starter.
- Great people skills to closely work with other teams.
- Strong in establishing systems & processes
- Expertise in Laravel, MySQL, and Git
- Thorough in Object-oriented concepts
- Knowledge of Restful Web services
- Understanding of web applications
- Working knowledge of one or more caching, queuing systems in desirable
- Familiarity with AngularJs or React is a big plus
- Excellent problem solving
- Can-do attitude
.NET
AngularJS (1.x)
Angular (2+)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon