Accelya Group

Project Manager

• Develop and manage project plans, timelines, and budgets.
• Coordinate with clients and internal teams to define project scope and objectives.
• Monitor project progress and make adjustments as needed.
• Identify and manage project risks and issues.
• Ensure all project documentation is complete and up-to-date.
• Facilitate project meetings and provide regular status updates to stakeholders.

Specialist – Project Management

Software Engineer

• Lead a cross-functional team of developers in delivering high-quality software solutions
• Oversee implementation of cloud-native and microservices-based architectures using Kubernetes, AWS, and containerization technologies
• Provide hands-on technical leadership in C++ and NodeJS
• Ensure adherence to Test-Driven Development (TDD) and continuous integration practices
• Conduct architecture and code reviews
• Mentor and coach engineers
• Participate in capacity planning, risk assessment, and release management
• Drive continuous improvement in velocity, code quality, and system reliability metrics.

Team Lead – Software Development

Data Scientist

• Build and maintain demand-forecasting and marginal-revenue models used to produce opportunity costs (bid prices) at route/flight/segment granularity.
• Derive customer segments with clustering, embeddings, and rule-based approaches that are predictive of purchase behavior.
• Develop conditional choice / purchase-probability models that control for endogeneity. Design and interpret natural or randomized experiments where applicable, using IVs, control-function approaches, double ML, or structural methods as needed.
• Integrate forecasted demand, choice probabilities and bid price constraints into an optimization layer (deterministic optimization, dynamic programming, or gradient-based methods).
• A/B/Experimentation & measurement: design online/offline evaluation frameworks and randomized experiments to validate price strategies, measure revenue impact, and control risk.
• Production & MLOps: deploy models and optimizers into low-latency production pipelines (APIs/real-time scoring), implement monitoring for model performance, price sensitivity drift and KPI alerts.
• Cross-functional delivery: communicate results and trade-offs to RM/product/stakeholders and translate business requirements into model constraints and instrumentation.

Senior Data Scientist – Dynamic Pricing, Revenue Optimization

• Design and implement LLM-powered solutions for enterprise-scale use cases requiring structured outputs and domain adaptation.
• Develop and maintain AI agents capable of handling domain-specific knowledge and workflows in production.
• Apply prompt engineering, retrieval-augmented generation (RAG), and other techniques to embed company expertise into LLM pipelines.
• Contribute to LLM continuous pretraining and fine-tuning efforts to adapt models to specialized tasks.
• Integrate LLM-based agents into production environments with a focus on scalability, latency, reliability, and compliance.
• Conduct experiments to evaluate model quality, effectiveness, and business impact.
• Establish monitoring, guardrails, and evaluation frameworks for safe and effective GenAI usage.
• Stay current with research and developments in LLMs, agent architectures, orchestration frameworks, and generative AI platforms.
• Use predictive modeling to enhance customer experience, revenue generation, dynamic pricing, and demand forecasting.
• Communicate complex findings and insights to both technical and non-technical audiences.
• Collaborate with different functional teams to integrate models into business operations.

Senior Data Scientist – Gen AI

Analyst

• Taking Care of Digital Operations Center as a DOC Analyst.
• You will be primarily responsible for monitoring our applications, 24x7.
• Monitor system alerts and notifications to proactively address potential issues before they impact end-users, following established protocols.
• You will utilize monitoring tools for monitoring issues, monitoring trends, and performing data analysis.
• If there is any error in Trends and analysis need to report to production and development teams.
• Understanding data traffic and user logs.

Analyst I – DOC Monitoring

Engineer

• Middleware Management: Install, configure, and maintain middleware platforms including Apache Tomcat, RedHat JBoss, Microsoft IIS, and Oracle Weblogic.
• Network Security: Implement and manage network encryption technologies such as SSL and HTTPS.
• Authentication and Authorization: Manage SSO solutions, particularly with Active Directory, and implement MFA.
• System Administration: Perform basic Linux administration tasks and manage VPNs, DNS, and IPAM.
• Messaging Technologies: Work with messaging technologies like IBM MQ and Rabbit MQ.
• Infrastructure-as-Code: Use tools like Terraform, Ansible, and Git for infrastructure management.
• Shared Services Support: Support applications delivering MFA, data tokenization, and data encryption.
• Continuous Improvement: Identify and implement improvements to middleware and shared service applications.
• Agile Methodologies: Participate in Agile environments using Scrum and/or Kanban.

Specialist – Project Management

Team Lead – Software Development

Senior Data Scientist – Dynamic Pricing, Revenue Optimization

Senior Data Scientist – Gen AI

Analyst I – DOC Monitoring

Middleware Engineer