AI Engineer

Role & Responsibilities

As a Business Analyst, we will require that you interact with a multitude of leaders and managers, from customers, prospects, AI suppliers, Internal stake-holders from technology and quality assurance as well as the entire research, analysis, development, delivery and support teams.

This requires maturity, empathy and an engaging personality. You must have excellent presentation and communication skills, written, spoken and creative. We seek candidates who are passionate, committed, innovative, self-driven and result focused. If you see yourself with these attributes and facets, then you are the candidate for Quantum.

Towards this end, you would be involved in the following:

• Shape new concepts and features
• Work with global QHSE leaders and AI/ML teams
• Bring your expertise and certifications into product strategy
• Engage with clients worldwide
• Support delivery teams in transforming safety performance

Ideal Candidate

• Strong Business Analyst – HSE (Ports & Terminals) Profiles
• Mandatory (Experience 1) – Must have 7+ years of experience as a Business Analyst, with 3+ years within the Ports, Container Terminals, Shipping, or Maritime industry OR with 3+ years in Health, Safety and Environment
• Mandatory (Experience 2) – Must have strong domain expertise in Health, Safety & Environment (HSE / QHSE) specifically in Ports and Terminals operations
• Mandatory (Experience 3) – Must have hands-on experience with HSE / QHSE software products (implementation, configuration, rollout, or functional ownership) used in Ports or Terminals
• Mandatory (Experience 4) – Must have proven experience in requirements gathering, gap analysis, and writing detailed functional specifications / FRDs for enterprise or ERP-style applications
• Mandatory (Experience 5) – Must have strong client-facing experience, including stakeholder interactions, UAT coordination, go-live support, and post-implementation functional support
• Mandatory (Experience 6) – Must be comfortable with onsite client visits, product delivery, and training end-users on the HSE software product
• Mandatory (Skill) – Excellent communication, presentation, and stakeholder management skills with the ability to independently own functional delivery
• Mandatory (Note 1) – Technical qualification is not mandatory; strong functional, process, and domain expertise is essential
• Preferred (Domain) – Experience working with ERP or large enterprise applications in Ports, Container Terminals, Logistics, or Maritime environments.
• Preferred (Experience) – Exposure to QHSE / Safety Management Systems, ISO standards (ISO 45001, ISO 9001, ISO 14001), or regulatory compliance frameworks.
• Preferred (Certification) – NEBOSH / IOSH / ISM Code or equivalent HSE certifications.

We are looking for QA role who has experience into Python ,AWS,and chaos engineering tool(Monkey,Gremlin)

⦁ Strong understanding of distributed systems

• Cloud computing (AWS), and networking principles. 
• Ability to understand complex trading systems and prepare and execute plans to induce failures
• Python. 
• Experience with chaos engineering tooling such as Chaos Monkey, Gremlin, or similar

Job Description

Roles and Responsibilities

· Design, Code, test, debug, implement and document complex WSO2 sequences.

· Monitoring and logging tool stacks - Splunk/ELK/Prometheus, Grafana 4 Design, Code, test, debug, implement and document complex WSO2 sequences.

· Perform Build activities for WSO2 ESB Middleware integration, involves writing XSLT, ESB coding, configuration, and Analysis activities.

· Trouble shooting various problems in different stages of development using logs files, Traces and Log Analyzer.

· Responsible for understanding the requirement, solution design, coordinate the development and testing activities (end to end)

· Guide the team regarding WSO2 platform best practices, framework, reusable artefacts and ensure code quality and timely deliverables.

· Work with functional and technical customers to determine solutions that drive additional business value.

· Work with Github, Azure Devops and CI tools to automate dev, build, deployment and testing.

· Good knowledge in messaging brokers: WSO2 Message Broker, Apache Kafka.

· Monitoring the server (Monitoring logs and WSO2 metrics).

· Desired Candidate Profile

Desired Candidate Profile

· Candidate must have minimum 2+ years of hands-on experience in WSO2, preferably with WSO2 certification.

· Extensive experience in Integration by using WSO2 Product Stack (API Manager 2.6/3.x, Enterprise Integrator 6.5 and Identity Server 5.7.0)

· Experience in Implementing APIs in WSO2 EI and On-boarding APIs into WSO2 API Manager

· Experience in WSO2 API Manager for designing API facades and designing and implementing API Proxies.

· Hands-on experience in designing and developing high volume web services using API Protocols and Data Formats (REST, JSON, SOAP & XML).

· Must have hands on experience / knowledge with CI tools to automate dev, build, deploy.

· Experience in programming languages: Java, JavaScript, Python

· Experience in on boarding web applications into WSO2 Identity Server for authentication and authorizatio

Qualifications

• Minimum of a Bachelor's or Master’s degree in Computer Science, or a related four-year degree.

• 4 years of hands on experience in Integration

Experience: 0 to 3 Years

Annual CTC: ONR : 1.5 LPA - 3 LPA

**Required Knowledge and Skills:**

- Basic understanding of income tax laws and regulations.

- Familiarity with the filing of income tax returns and audit reports.

- Knowledge of TDS-TCS returns and related compliances.

- Proficiency in using accounting software and tax filing tools.

- Strong attention to detail and organizational skills.

- Excellent communication and interpersonal skills.

- Ability to work independently as well as part of a team.

- Proficiency in MS Office (Word, Excel, Outlook).

**Qualifications:**

- Bachelor’s degree in Accounting, Finance, Commerce, or a related field.

- Prior experience or internships in a similar role will be an advantage.

- Professional certifications (e.g., CA Inter, CPA) will be a plus but not mandatory.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Need to call to customers for there outstanding dues

Need to work for Banks and NBFC for their collection & recovery services

Basci excel knowlledge required

Prefrence to DRA passed candiadtes.

Prefrence to female candiadates

Best in class performance incentive..