11+ Defense Travel System Jobs in Bangalore (Bengaluru) | Defense Travel System Job openings in Bangalore (Bengaluru)

Job Title: Business Development Manager (BDM)

Location: Mumbai and Bangalore 

Working Days: 6 Days 

About the Role

We are seeking an experienced and dynamic Business Development Manager (BDM) to drive revenue growth by acquiring new corporate clients and managing strong business relationships. The role requires a results-driven professional with proven expertise in corporate travel sales and business expansion.

Key Responsibilities

• Identify, target, and acquire new corporate clients for travel solutions.
• Develop and implement effective business development strategies.
• Build and maintain long-term relationships with corporate and mid-sized clients.
• Achieve and exceed assigned revenue and sales targets.
• Conduct market research to identify new opportunities and industry trends.
• Negotiate and close high-value business deals.
• Collaborate with internal teams to ensure seamless client servicing and delivery.
• 
  

Requirements

• Minimum 4 years of experience in corporate travel sales/business development.
• Preferred candidates from Airlines,Travel Trade or Hotels.
• Strong network and connections with corporate clients in Mumbai.
• Proven track record of achieving high-value sales targets.
• Excellent communication, negotiation, and presentation skills.
• Ability to work in a target-driven environment with 6 working days.

Hi,

Greetings from Ampera!

we are looking for a Data Scientist with strong Python & Forecasting experience.

Title                               : Data Scientist – Python & Forecasting

Experience                   : 4 to 7 Yrs

Location                       : Chennai/Bengaluru

Type of hire                  : PWD and Non PWD

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Working hours           : 09:00 a.m. to 06:00 p.m.

Workdays                   : Mon - Fri

Job Description:

We are looking for an experienced Data Scientist with strong expertise in Python programming and forecasting techniques. The ideal candidate should have hands-on experience building predictive and time-series forecasting models, working with large datasets, and deploying scalable solutions in production environments.

Key Responsibilities

• Develop and implement forecasting models (time-series and machine learning based).
• Perform exploratory data analysis (EDA), feature engineering, and model validation.
• Build, test, and optimize predictive models for business use cases such as demand forecasting, revenue prediction, trend analysis, etc.
• Design, train, validate, and optimize machine learning models for real-world business use cases.
• Apply appropriate ML algorithms based on business problems and data characteristics
• Write clean, modular, and production-ready Python code.
• Work extensively with Python Packages & libraries for data processing and modelling.
• Collaborate with Data Engineers and stakeholders to deploy models into production.
• Monitor model performance and improve accuracy through continuous tuning.
• Document methodologies, assumptions, and results clearly for business teams.

Technical Skills Required:

Programming

• Strong proficiency in Python
• Experience with Pandas, NumPy, Scikit-learn

Forecasting & Modelling

• Hands-on experience in Time Series Forecasting (ARIMA, SARIMA, Prophet, etc.)
• Experience with ML-based forecasting models (XGBoost, LightGBM, Random Forest, etc.)
• Understanding of seasonality, trend decomposition, and statistical modeling

Data & Deployment

• Experience handling structured and large datasets
• SQL proficiency
• Exposure to model deployment (API-based deployment preferred)
• Knowledge of MLOps concepts is an added advantage

Tools (Preferred)

• TensorFlow / PyTorch (optional)
• Airflow / MLflow
• Cloud platforms (AWS / Azure / GCP)

Educational Qualification

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.

Key Competencies

• Strong analytical and problem-solving skills
• Ability to communicate insights to technical and non-technical stakeholders
• Experience working in agile or fast-paced environments

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Role- Sr Software Developer (Fullstack)

Location- Gurgaon/ Bangalore

Mode- Hybrid

Job Description: Sr Software Developer (Golang expertise) – 5+ years 

Role Summary:-

We are seeking an experienced Senior Engineer with strong expertise in Golang and cloud-based web applications. The ideal candidate will work across multiple backend services, contribute to architectural decisions, ensure quality through best practices, and collaborate effectively with cross-functional teams. 

Key Responsibilities:- 

• Design, develop, and maintain backend services using Golang. 

• Work across multiple Golang applications and microservices. 

• Have good understanding of internal enterprise services such as SSO, authorization, and user management. 

• Collaborate with cloud engineering teams to build and manage applications on AWS or Azure. 

• Follow and enforce backend development best practices including CI/CD, coding guidelines, and code reviews. 

• Use tools like SonarQube for static and dynamic code analysis. 

• Write high‑quality unit tests and maintain test coverage. 

• Document system designs, APIs, and technical workflows. 

• Mentor junior team members and contribute to overall team maturity.

Required Skills:-

• Strong, hands‑on experience with Golang across multiple real‑world projects.

• Good experience with dell cloud 

• Good understanding of cloud services (AWS or Azure) for web application development. 

• Knowledge of SSO, authorization services, and internal service integrations. 

• Excellent communication and collaboration skills. 

• Experience with CI/CD pipelines, coding standards, and automated testing. 

• Familiarity with code quality tools such as SonarQube. 

• Strong documentation skills. 

Good-to-Have Skills:-

• Knowledge of Python or JavaScript. 

• Understanding of frontend technologies (react.js). 

• Experience mentoring or guiding team members.

Note- We are looking out immediate joiners.

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Experience:- Overall 10 to 12 years of experience of which atleast 5 to 7 years’ experience should be in Information Security. Mandatory is 5 to 7 years’ experience in Information security and with one full end to end implementation experience.

Base location: - Bengaluru - Must

Joining requirement: - Not later than second week of June 2023.

Requirements: -

1.      Mandatory - ISO 27001:2013 lead implementor certified

2.      Mandatory - ISO 27001:2013 lead auditor certified (but if it is a good candidate, we can still consider)

3.      Good to have – CISA, CISM, Risk management certification, Privacy certifications.

4.      Mandatory - Atleast one end to end implementation experience of ISO 27001 standard. The candidate should have a good implementation knowledge of ISO 27001, ISO 27002 standards and is required to implement the ISO requirements and run the ISMS program for multiple countries.

5.      This immediate requirement is for implementing the ISMS program for our Canadian office location. The candidate should be willing to work from Bengaluru in EST time zone during this implementation phase whenever required.

6.      Good documentation skills.

7.      Develop, implement, maintain, review and continually improve Information Security policies.

8.      Good understanding and knowledge of applicable legal and regulatory requirements as relevant to information security.

9.      Manage and maintain a risk register / risk database along with risk treatment plans.

10.  Good understanding of physical and environmental security.

11.  Conduct Internal Audits based ISO 27001 standards and Personal Data Protection policies. A good experience in independently conducting Internal and supplier audit with respect to information security.

12.  Provide training to the employees on Privacy & Information Security Management System on regular intervals.

13.  The greater part of the job involves interacting with people, interviewing them / auditing, Preparing audit reports, discussing / persuading / influencing.

14.  Mandatory: Good verbal and written communication skills. Eye for details.

15.  Good presentation skills.

16.  Since this is a trusted role, candidates must be willing to undergo extensive background checks to verify their identity, character, qualifications, skills and experience.

• Strong understanding of ServiceNow platform architecture,applications and modules
• Experience with integrations between ServiceNow and other
  tools/systems
• Proficient in all phases of the Application Development
  lifecycle with experience in an agile environment
• Excellent verbal and written communication skills, with
  experience interacting with clients at multiple levels
• ServiceNow certifications are preferred
• Experience with Knowledge Base platforms, ideally
  ServiceNow Knowledge Management application is a plus

Product Responsibilities:

As an Engineering Manager, you will be responsible for the end-to-end delivery of one or more products and solutions.

10+ years of relevant industry experience.

Be technically strong and deliver product excellence.

Collaborate with your team and cross-functional partners to define and influence strategy.

Drive roadmap creation and execution.

Collaborate with various functions, drive engineering initiatives, and have an impact at an organizational level.

Participate in technical design. You will be the owner of the technical direction of the products.

Define clear OKRs and measure the impact of your team and individual members.

Evangelize your products across various teams and also to external customers.

Work with the GTM team to deliver success for the products.

Collaborate with the Recruitment/HR team to hire exceptional talent for your own team and also for other teams.

Minimum Qualifications:

Bachelor degree preferably in Computer Science from a reputed engineering college.

10+ years of proven experience, with 2+ years of leading a team.

Very strong in hands-on coding.

8+ years of combined experience in JVM languages(Java, Scala, Kotlin, etc), any scripting language like python, relational and non-relational databases.

Very strong in system design. You should have designed and implemented large-scale Web applications or data systems.

Strong verbal and written communication skills.

Demonstrated experience recruiting and managing technical teams, including performance management.

Good to have:

Don't worry, we'll ramp you up, but experience in any of these areas will help you hit the ground running:

Familiarity with technologies such as Apache Spark, Apache Hadoop ecosystem, and modern warehouses like Snowflake, AWS Redshift, etc.

Experience working with public cloud systems such as AWS, GCP, or Azure.

Experience with containerization and technologies such as Kubernetes and Docker.

 Knowledge of large-scale, data-heavy distributed systems.

• Integrate data from various back-end services and databases
• Gather and refine specifications and requirements based on technical needs
• Create and maintain software documentation
• Stay plugged into emerging technologies/industry trends and apply them into operations and activities

What are we looking for in the Ideal Candidate?

• Proficient in creating Web (Responsive) applications using Angular 8+, AngularJS/ React JS, JavaScript, JQuery.
• Experience developing/consuming REST APIs
• Knowledge of multiple back-end languages (e.g. Python) and JavaScript frameworks (e.g. Node.js)
• Familiarity with databases (e.g.MSSQL, MySQL), and UI/UX design
• Hands-on experience with code versioning systems like Git, SVN.
• A clear understanding of client requirements & design specifications
• Aggressive problem diagnosis and creative problem-solving skills
• Ability to work and thrive in a fast-paced environment, learn rapidly, and master diverse web technologies and techniques.

Attributes:

• Team player, Positive Attitude
• Proven ability to work well with others in a fast-paced, iterative product definition and development environment.
• Able to work independently with little direct supervision and take initiative and willing to mentor and solve problems