Experience Requirements:

• Proven track record of successful sales experience, with a focus on technology solutions

Other Requirements:

• Interest in applying AI to real world difficult problems

• Passion for technology and infrastructure

• Excellent communication and interpersonal skills, ability to effectively communicate technical information to non-technical customers

• Strong problem solving and analytical skills, ability to think creatively to find solutions to customer challenges

• Ability to prioritize and manage multiple tasks and projects

• A positive and can-do attitude, with a strong sense of responsibility and ownership of your work

• Ability to work in a fast-paced and dynamic environment, comfortable with ambiguity and change

• Up to 20-30% travel.

Responsibilities:

• Work directly with railroad operators to implement solutions.

• Communicate technical information to non-technical customers.

• Solve customer challenges using technology solutions.

• Understand operational challenges within the railroad industry.

• Travel to railroad sites for client engagement.

Experience Requirements:

• 3+ years

Experience Requirements:

• 5+ years

Experience Requirements:

• 4+ years

Experience Requirements:

• 4+ years

Experience Requirements:

• 1-3 years of business development experience in SaaS for Retail/D2C companies.

• Must have experience working with international markets such as North American and European markets.

Other Requirements:

• Clear, concise, and effective written and oral communication skills.

• Empathy towards customers and understanding their needs.

• Interest, curiosity, and openness to learning new technologies.

• Good interpersonal skills and ability to collaborate with internal stakeholders as well as end customers.

• Learning mindset and the right attitude will help you thrive and adapt in a fast-paced, performance-driven environment.

Responsibilities:

• Generate qualified opportunities for the company by rigorously prospecting and researching in the assigned region/market using modern tools

• Do rigorous research on companies to assess opportunities

• Strike and initiate conversations, set up meetings & demos with relevant personas of companies you are prospecting.

• Identify and implement the right sales techniques to close the deals.

• Maintaining a strong relationship with the client and advising them on issues related to the market and offering solutions on the same.

Experience Requirements:

• 4+ years of model training, deployment and maintenance in a production environment.

• Strong skills in computer vision, NLP, or deep learning.

• Solid background in algorithms, data structures, and object-oriented programming.

• Strong programing skills in Python, experience in Tensorflow or PyTorch.

• Experience with deep learning with large scale video processing. An experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Mentored and grown members of your team or been a tech lead on large projects.

Other Requirements:

• Published research in areas of machine learning at major conferences and/or journals.

Experience Requirements:

• Developing front end website architecture and user interactions web pages.

• Designing and developing APIs.

• Experience building complex web products end-to-end in one of the frameworks(Angular, React.)

• Expertise working on all parts of the stack (frontend, backend).

• Familiarity with databases (e.g. Cassandra, MongoDB). A good understanding of deep learning workflows. Experience working with Docker, Kubernetes, and Infrastructure as code. MEAN stack development exposure with 3-5 years of industry experience.

Other Requirements:

• An analytical mind.

Other Requirements:

• a self-starter, detail-oriented and adaptable

• value challenge in their work

• Ability to work independently, cooperatively, and collaboratively as a team member.

• Strong sense of ownership, urgency, and drive.

• Ability to handle ambiguity and changing prioritiy.

Responsibilities:

• Label machine learning data from customers.

• Complete tasks in a timely manner, meeting SLA deadlines.

• Do post-process audits and review video and tasks.

• Work in-sync with Company to meet weekly goals.

Education Requirements:

• Bachelor’s degree in Graphic Design or a related field.

Experience Requirements:

• 1-2 years of graphic design experience, preferably in a marketing or advertising environment.

Other Requirements:

• Proficient in Adobe Creative Suite (Photoshop, Illustrator, InDesign).

• Experience in video editing software (e.g., Adobe Premiere Pro, After Effects) is a plus.

• Experience using canva

• Strong portfolio showcasing a variety of design skills, especially in digital media.

• Excellent communication and collaboration skills.

• Ability to work in a fast-paced environment and manage multiple projects.

Responsibilities:

• Social Media Graphics: Design engaging and on-brand graphics for various social media platforms, ensuring consistency across all channels.

• Email Campaigns: Create visually appealing email templates that effectively communicate our messages and promotions.

• Flyers and Print Materials: Design flyers and other print materials for events, promotions, and other company activities.

• Presentation Decks: Develop professional and visually compelling presentation decks that effectively communicate information to various audiences.

• Video Content: Assist in creating and editing video content for social media, website, and other platforms (if applicable).

Other Requirements:

• Proficient in both frontend and backend development technologies.

• Strong understanding of databases, API integrations, and system architectures.

• Ability to multitask, prioritize, and manage time effectively.

• Strong analytical and problem-solving skills.

• A team player with excellent communication skills.

Responsibilities:

• Develop end-to-end solutions, from database design to user-facing interfaces.

• Collaborate with cross-functional teams to integrate new features and improvements.

• Optimize applications for maximum speed and scalability.

• Ensure code quality, best practices, and maintainability.

• Troubleshoot, debug, and upgrade software components as needed.

Experience Requirements:

• 5 - 7 Years

• 5 – 7 Years of L2 monitoring

Other Requirements:

• Knowledge in monitoring tools such as Zabbix, Nagios, etc

• Knowledge/experience in ticketing systems such as Zoho Desk /JIRA etc

• Strong problem-solving skills, particularly in investigating and analyzing recurring issues.

• Hands-on knowledge of Linux fundamentals, System administration, scripting, performance tuning, etc

• Strong problem-solving skills and ability to think under pressure

• Basic knowledge of cloud environments such as AWS, Azure, Google Cloud, etc

• Basic knowledge of networking, routing and switching

• Communication and documentation skills

Responsibilities:

• Lead the Site reliability engineering team

• Layout schedule and shift plans for the team

• Manage tickets and allocate tasks for team members

• Work collaboratively with peers and management

• Ensure transparent communication with the customer

Experience Requirements:

• 2 - 3 Years

Other Requirements:

• Acquaintance with software development processes and methodologies

• Experience with cloud infrastructure platforms such as AWS, Azure and GCP

• Excellent scripting skills in Bash, Python or Ruby

• Strong problem-solving and troubleshooting skills, with the ability to identify root causes and implement effective solutions.

• Proficiency in configuration management tools such as Ansible, Chef, or Puppet

• Knowledge of security best practices and the ability to implement security controls at the infrastructure level.

• Experience in monitoring tools such as Zabbix, Nagios, etc

• Hands-on knowledge of Linux fundamentals, System administration, performance tuning, etc

• Good knowledge of networking, routing and switching

• Communication and documentation skills

• Knowledge of containerization tools such as Docker, Kubernetes, etc

• Zabbix, Nagios

• Containerization

• AWS, Azure, GCP

• Jenkins

• Sonarqube

• Ansible, Chef, Puppet, etc

Responsibilities:

• Ensure infrastructure scalability, reliability, and security by implementing infrastructure as code (IaC) principles.

• Collaborate with software developers, quality assurance engineers, and IT professionals to guarantee smooth deployment, automation, and software infrastructure management.

• Design and implement CI/CD pipelines for multiple software applications and environments.

• Automate and streamline deployment processes, minimizing manual intervention and improving system efficiency.

• Stay up-to-date with industry trends and emerging technologies, assessing their potential impact and recommending adoption where appropriate.

Experience Requirements:

• 2 - 3 Years

• 2-4 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.

Other Requirements:

• Proficient in data engineering tools and languages such as Python, SQL, and Java.

• Strong knowledge of business intelligence (BI) tools such as Tableau, Power BI or similar for creating reports and dashboards.

• Ability to work with databases(SQL & NoSQL) and perform complex data queries.

• Familiarity with data wrangling, ETL processes and data cleaning techniques.

• Clear understanding of data warehousing & cloud based analytics .

• Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.

Responsibilities:

• Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.

• Develop and maintain data reports and dashboards using business intelligence tools (e.g., Tableau, Power BI, etc.)

• Collaborate with business teams to understand key business objectives and data needs.

• Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.

• Ensure data models and structures are well-designed to facilitate analysis and reporting.

Experience Requirements:

• 3 - 5 Years

• 3-5 years of development experience

Other Requirements:

• Excellent communication and presentation skills are essential.

• Strong proficiency in PHP and PHP frameworks(Laravel/CodeIgniter/CakePHP)

• Experience with Vue.js or React.js, and modern frontend development.

• Strong proficiency in JavaScript, TypeScript, HTML5, and CSS3.

• Proficiency in MySQL, PostgreSQL, or other relational databases.

• Strong understanding of RESTful API development and authentication (OAuth, JWT).

• Familiarity with Docker, CI/CD pipelines, and cloud services (AWS/GCP/Azure).

• Experience with version control systems (Git, GitHub, GitLab).

• Knowledge of CSS frameworks (Tailwind CSS, Bootstrap, or Material-UI).

• Understanding of server-side performance optimization and caching techniques.

• Strong problem-solving skills and ability to work independently or as part of a team.

Responsibilities:

• Design, develop, and maintain full-stack web applications using PHP (Laravel, CakePHP, or CodeIgniter) and Vue.js or React.js.

• Develop and integrate RESTful APIs and third-party services.

• Optimize applications for performance, scalability, and security.

• Work with databases such as MySQL, PostgreSQL, or MongoDB for data management.

• Implement responsive and interactive UI components using Vue.js/React.js. and Tailwind CSS.

Experience Requirements:

• 1 - 2 Years

• 1-2 years of experience

Other Requirements:

• Experience as a Business Analyst in IT or related industries.

• Good understanding of the full software development lifecycle.

• Strong communication, stakeholder management, and presentation skills.

• Proficiency in requirements gathering, process mapping, and data analysis.

• Strong understanding of Agile, Scrum, and Waterfall methodologies.

• Ability to analyze complex data sets and translate findings into actionable insights.

• Understanding of UI/UX principles and experience working with designers.

• Experience with tools like JIRA, Confluence, Backlog, and SQL.

• Knowledge of database queries, reporting tools, and BI (Business Intelligence) platforms is an advantage.

Responsibilities:

• Collaborate with stakeholders to gather, document, and analyze business requirements.

• Conduct market research, competitive analysis, and feasibility studies for new projects.

• Work closely with development teams to translate business requirements into technical specifications.

• Create business process models, workflows, and use case diagrams to illustrate system functionalities.

• Define and maintain project documentation, including BRDs (Business Requirements Documents) and FRDs (Functional Requirements Documents).

Experience Requirements:

• 2 - 4 Years

• 2 – 4 years of experience in DevOps

Other Requirements:

• Expertise in Google Cloud Platform (GCP) services like Compute Engine, GKE, Cloud Storage, Cloud Functions, Cloud SQL, BigQuery, and more.

• Excellent communication and presentation skills are essential.

• Hands-on experience with Infrastructure as Code (IaC) using Terraform, Cloud Deployment Manager, or Pulumi.

• Experience with containerization and orchestration using Docker and Kubernetes (GKE preferred).

• Proficiency in scripting languages such as Bash.

• Experience with CI/CD tools like Jenkins, GitLab CI, ArgoCD, or Cloud Build.

• Strong understanding of networking, VPC, load balancing, firewalls, and DNS in cloud environments.

• Knowledge of logging, monitoring, and alerting tools (Prometheus, Stackdriver, ELK, Datadog).

• Experience with security best practices, including IAM, OAuth, and compliance frameworks.

• Excellent problem-solving and troubleshooting skills.

• Knowledge of other cloud platforms (AWS/Azure)

Responsibilities:

• Design, implement, and manage GCP infrastructure using Terraform, Deployment Manager, or similar IaC tools.

• Develop and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, GitHub Actions, or Cloud Build.

• Automate provisioning, configuration management, and deployments with Terraform, Ansible, or Chef/Puppet.

• Monitor system performance, reliability, and security using Prometheus, Grafana, Stackdriver, or Datadog.

• Manage and optimize Kubernetes (GKE) clusters, ensuring efficient container orchestration.

Experience Requirements:

• 5 - 7 Years

• 5 – 7 years

Other Requirements:

• Acquaintance with software development processes and methodologies

• Experience with cloud infrastructure platforms such as AWS, Azure and GCP

• Excellent scripting skills in Bash, Python or Ruby

• Strong problem-solving and troubleshooting skills, with the ability to identify root causes and implement effective solutions.

• Proficiency in configuration management tools such as Ansible, Chef, or Puppet

• Knowledge of security best practices and the ability to implement security controls at the infrastructure level.

• Experience in monitoring tools such as Zabbix, Nagios, etc

• Hands-on knowledge of Linux fundamentals, System administration, performance tuning, etc

• Good knowledge of networking, routing and switching

• Communication and documentation skills

• Knowledge of containerization tools such as Docker, Kubernetes, etc

• Zabbix, Nagios

• Containerization

• AWS, Azure, GCP

• Jenkins

• Sonarqube

• Ansible, Chef, Puppet, etc

Responsibilities:

• Collaborate with software developers, quality assurance engineers and IT professionals to guarantee smooth deployment, automation and management of software infrastructure.

• Design and implement CI/CD pipelines for multiple software applications and environments.

• Automate and streamline deployment processes, minimizing manual intervention and improving system efficiency.

• Stay up-to-date with industry trends and emerging technologies, assessing their potential impact and recommending adoption where appropriate.

• Troubleshoot software infrastructure issues and collaborate with the team to resolve them.

Experience Requirements:

• 2 - 4 Years

• 2-4 years of development experience

Other Requirements:

• Excellent communication and presentation skills are essential.

• Strong proficiency in PHP and PHP frameworks(Laravel/CodeIgniter/CakePHP)

• Proficiency in MySQL, PostgreSQL, or other relational databases.

• Strong understanding of RESTful API development and authentication (OAuth, JWT).

• Familiarity with Docker, CI/CD pipelines, and cloud services (AWS/GCP/Azure).

• Experience with version control systems (Git, GitHub, GitLab).

• Understanding of server-side performance optimization and caching techniques.

• Strong problem-solving skills and ability to work independently or as part of a team.

• Experience with Vue.js or React.js and modern frontend development is an added advantage.

Responsibilities:

• Design, develop, and maintain web applications using PHP (Laravel, CakePHP, or CodeIgniter)

• Develop and integrate RESTful APIs and third-party services.

• Optimize applications for performance, scalability, and security.

• Work with databases such as MySQL, PostgreSQL, or MongoDB for data management.

• Collaborate with designers, frontend developers, and project teams to ensure seamless development workflows.

Experience Requirements:

• 2 - 3 Years

• Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

Other Requirements:

• Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

• Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face).

• Strong grasp of machine learning concepts, model development lifecycle, and performance evaluation.

• Experience working with transformer-based architectures and generative techniques like GANs, VAEs, or diffusion models.

• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and MLOps tools.

• Excellent problem-solving, communication, and teamwork skills.

• Experience deploying models into production environments.

• Familiarity with LLM fine-tuning, prompt engineering, or synthetic data generation.

• Excellent communication and presentation skills are essential.

Responsibilities:

• Design, develop, and implement machine learning models and algorithms for real-world applications.

• Research and experiment with Generative AI models (e.g., GPT, diffusion models, transformers) to solve complex problems.

• Collaborate in a culture of experimentation, contributing to PoCs, rapid prototyping, and iterative model development.

• Build and maintain data pipelines and infrastructure in collaboration with Data Engineers.

• Partner with cross-functional teams including product, engineering, and analytics to define AI/ML use cases and deliver impactful solutions.