Engineering Manager

The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

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 Overview:

We are looking for a skilled Golang Developer with 3.5+ years of experience in building scalable backend services and deploying cloud-native applications using AWS. This is a key position that requires a deep understanding of Golang and cloud infrastructure to help us build robust solutions for global clients.

Key Responsibilities:

• Design and develop backend services, APIs, and microservices using Golang.
• Build and deploy cloud-native applications on AWS using services like Lambda, EC2, S3, RDS, and more.
• Optimize application performance, scalability, and reliability.
• Collaborate closely with frontend, DevOps, and product teams.
• Write clean, maintainable code and participate in code reviews.
• Implement best practices in security, performance, and cloud architecture.
• Contribute to CI/CD pipelines and automated deployment processes.
• Debug and resolve technical issues across the stack.

Required Skills & Qualifications:

• 3.5+ years of hands-on experience with Golang development.
• Strong experience with AWS services such as EC2, Lambda, S3, RDS, DynamoDB, CloudWatch, etc.
• Proficient in developing and consuming RESTful APIs.
• Familiar with Docker, Kubernetes or AWS ECS for container orchestration.
• Experience with Infrastructure as Code (Terraform, CloudFormation) is a plus.
• Good understanding of microservices architecture and distributed systems.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with Git, CI/CD pipelines, and agile workflows.
• Strong problem-solving, debugging, and communication skills.

Nice to Have:

• Experience with serverless applications and architecture (AWS Lambda, API Gateway, etc.)
• Exposure to NoSQL databases like DynamoDB or MongoDB.
• Contributions to open-source Golang projects or an active GitHub portfolio.

Job Title: Product Owner – Payments & Funds Transfer

Location: Pune, India

Experience: 5+ Years

Employment Type: Full-time

Job Summary:

We are looking for a skilled and driven Product Owner with proven experience in business and systems analysis within the Payments and Funds Transfer domain. The ideal candidate will possess deep domain knowledge of SWIFT, Clearings, RTGS, and familiarity with SEPA, CHIPS, and Fedwire. You will serve as the key liaison between business stakeholders and technical teams to define, prioritize, and deliver impactful product features in a fast-paced financial services environment.

Key Responsibilities:

• Act as the primary point of contact for product features and roadmap in the Payments domain.
• Gather, analyze, and translate business and system requirements into detailed user stories and product backlogs.
• Collaborate with cross-functional teams including developers, QA, business analysts, and stakeholders.
• Own and manage the product backlog; prioritize features based on business value and technical feasibility.
• Conduct gap analysis, define workflows, and ensure business rules and compliance requirements are captured.
• Participate in agile ceremonies such as sprint planning, reviews, and retrospectives.
• Provide subject matter expertise in payment systems, clearing mechanisms, and regulatory compliance.

Required Skills & Experience:

• Minimum 5 years of experience as a Product Owner or Business/System Analyst in the Payments/Funds Transfer domain.
• Strong understanding of SWIFT, RTGS, and Clearing Systems.
• Working knowledge of SEPA, CHIPS, Fedwire is a plus.
• Proven experience translating business needs into functional and technical specifications.
• Familiarity with Agile/Scrum methodology and tools like Jira, Confluence, etc.
• Excellent communication, stakeholder management, and problem-solving skills.
• Bachelor’s degree in Computer Science, Finance, Business, or related field.

Performance Testing

With C#/Java, and basic coding knowledge.     

At Regions, the Performance Engineer conducts a

wide range of quality control tests and analysis to ensure that software meets or exceeds specified standards and end-user requirements as well monitor the performance of the production systems.

Primary Responsibilities

• Collaborates with other engineers to develop

testing and monitoring approaches

• Focuses on assurance in the areas of error

rates, response times, and impact to infrastructure

• Designs, scripts, configures, and run

performance tests to validate production readiness of software applications and

infrastructure for stability and performance

• Supports testing needs of new projects,

infrastructure upgrades, and application enhancements by validating application

functionality against documented test cases

• Uses dashboards that enable efficient

monitoring of applications and systems running in production environments to

troubleshoot issues and report finding.

• Support for Incident and Request management tasks as assigned.
• Administration and understanding of the following network services to support Incident and Request tasks as assigned:
• Palo Alto Firewalls
• LAN Routing and Switching
• Microsoft Azure Networking – Vnets, Express Route, Vnet Peering, VPN Gateways
• LAN to LAN VPN Tunnels
• Arista Network devices
• Work with Networking Monitoring tools such as one or more of the following: Solar Winds, Splunk, Prime, NetMRI, Nagios
• Work directly with telecom carriers and Network infrastructure maintenance providers as needed, such as Verizon, Tata, Bharti, and Cisco.
• Maximize network performance by monitoring performance, troubleshooting network problems and outages, scheduling upgrades, and collaborating with network architects on network optimization
• Supports routing and switching and work on BGP, OSPF protocols
• Support China retail store infrastructure and data center through on-call rotations

QUALIFICATIONS:

• Graduate or above
• 6-7 years experience in LAN/WAN Routing including 2 or more years of LAN/WAN Administration experience within a multi-platform technical environment.
• In-depth understanding of voice and/or data technologies and subject matter expert in at least one area.
• Cisco Certified or equivalent combination of knowledge and experience.
• Understanding on IPsec, VPNs, GRE, NAT/PAT over varied platforms
• Expert knowledge of all LAN switching technologies eg Spanning Tree, VLAN management, and VTP concepts on Cisco, Nexus, and Arista
• Good understanding of MPLS routing and OSPF routing