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he Java Developer role exists to design, build, and maintain scalable software solutions that drive the company’s technology initiatives, enabling efficient product delivery and supporting business growth Duties and Responsibilities • Design, develop, test, and deploy high-quality Java applications following best practices. • Collaborate with product managers, designers, and other developers to gather and refine requirements. • Write clean, maintainable, and efficient code with proper documentation. • Troubleshoot, debug, and optimize existing applications for performance and scalability. • Participate actively in code reviews, providing and receiving constructive feedback. • Implement and maintain RESTful APIs and microservices architecture. • Integrate with databases using ORM frameworks such as Hibernate. • Stay updated with emerging technologies and incorporate them into projects as appropriate. • Follow Agile/Scrum methodologies to deliver iterative improvements. Required Qualifications and Experience • Bachelor’s degree in computer engineering, Computer Science, Information Technology, or a related discipline. • 4-5 years of professional experience in Java development. • Strong expertise in Core Java, including Java 8+ features (Streams, Lambdas, Concurrency). 6. Additional/Preferred Technical Skills: • CI-CD Pipelines • AWS / Azure / Google Cloud Platform (GCP) • JavaScript / HTML / CSS / React / Angular (Basic front-end knowledge) • SQL Databases (Oracle, MySQL) • Log4j / SLF4J (Logging frameworks) • Agile / Scrum Methodology • Design Patterns / Object-Oriented Design (OOD) • Apache Kafka / RabbitMQ/ Docker / Kubernetes 7. Core Technical Skills/ Keywords: • Java (Core Java, Java SE, Java EE) • Spring Framework (Spring Boot, Spring MVC, Spring Security) • Hibernate / JPA • RESTful APIs / Web Services • Microservices Architecture • SQL / MySQL / PostgreSQL / Oracle • Maven / Gradle • Git / GitHub / GitLab • JUnit / TestNG • IntelliJ IDEA / Eclipse

Job Description:-

10 -15 years of complete SDLC experience with minimum 5+ years of hands-on experience as an enterprise / solution architect or similar position

Minimum 3 years of experience in transforming complex business requirements/plans into workable technology solutions

Very good understanding in design principles, web standards and concepts, coding best practices and end-to-end software development life cycle

Must possess Excellent Technical and team leadership skills

Familiarity with server architectures and extensive experience in architecting / designing Cloud, Microservices, and/or distributed systems

Sound knowledge in different deployment architectures, release engineering and DevOps

Creative, Innovative, thought leader who can create a culture of learning, sharing among millennials

Extensive experience and knowledge in one of the core technologies such as Microsoft .NET, Cloud, Data, etc.

Experience in following agile methodology and/or working in scrum teams

Excellent written and oral communication skills with clearly communicate designs, thoughts, and ideas and ability to adjust the communications based on the audience

Prepare Detailed Estimates and Proposals for Client requirement

Define, Create and Build reusable assets for large/complex projects Defining project standards and procedures, contribute to continuous improvement activities related to issues management or quality processes

Advanced problem solving and analytical skills and ability to automate processes

Nice to Have:

Working with Geographically distributed teams and experience in onsite-offshore team models

Good understanding of front-end technologies such as React and Angular.

Skill: AWS Cloud Engineer + FinOps

• Build and manage production-grade AWS cloud platforms with multi-account architecture.
• Implement Infrastructure as Code using Terraform or CloudFormation for automation.
• Lead FinOps practices for budgeting, forecasting, and cost optimization on AWS.
• Analyze AWS Cost & Usage Reports and create actionable dashboards for stakeholders.
• Handle FinOps and SecOps tickets related to cost anomalies and security compliance.
• Optimize AWS resources through rightsizing, Savings Plans, and Reserved Instances.
• Enforce tagging governance and resource accountability across all environments.
• Implement AWS security best practices (IAM, SCPs, GuardDuty, Security Hub).
• Collaborate with engineering and finance teams to align cloud spend with business goals.
• Provide executive insights and recommendations on AWS cost trends and security posture.

ob Summary

We are looking for a POS Test Engineer with strong experience in testing Point of Sale (POS) systems across retail or hospitality environments. The candidate will be responsible for ensuring POS applications are stable, accurate, and compliant with business and payment standards.

Key Responsibilities

• Test POS applications including billing, payments, refunds, and promotions
• Validate POS integrations with payment gateways, card readers, scanners, and printers
• Perform functional, integration, system, and regression testing
• Test different payment modes (Cash, Credit/Debit Cards, UPI, Wallets)
• Verify tax calculations, discounts, offers, and loyalty programs
• Ensure compliance with PCI-DSS and payment security standards
• Log, track, and retest defects using defect management tools
• Coordinate with developers, product owners, and business teams
• Support UAT and production validation

Job Responsibilities

1. Design and implement scalable, secure, and reusable MLOps architecture frameworks aligned with enterprise cloud standards.

2. Act as a hands-on architect, contributing directly to MLOps implementation and platform development.

3. Drive architectural decisions and adoption of MLOps platforms across teams.

4. Define best practices for model development, deployment, monitoring, and lifecycle management.

5. Enable seamless collaboration between data science, engineering, and platform teams.

6. Ensure architecture aligns with security, governance, and scalability requirements.

7. Monitoring and Maintenance:

· Implement and manage robust monitoring solutions to track model performance, data drift, and other relevant metrics.

· Proactively identify and address issues related to model degradation or system failures.

8. Cloud Expertise:

· Demonstrate expertise in cloud platforms, particularly Azure and/or AWS, for deploying and managing machine learning services.

9. Remove blockers and ensure smooth execution of sprint goals.

10. Align sprint deliverables with the product roadmap and business priorities.

11. Drive continuous improvement in delivery and team collaboration.

Requirements & Qualifications:

· Experience: 5-8 years of hands-on experience in deploying and monitoring machine learning models.

· Basic understanding of ML and data science/modeling aspects.

· Strong hands-on experience in MLOps architecture and implementation

· Azure Cloud (DevOps, Azure ML, Data Factory) & MLOps tools (Databricks, MLflow, Azure ML)

· Strong understanding of ML lifecycle management and deployment patterns

· Experience designing secure, scalable, enterprise-grade solutions.

· Certified Scrum Master

· 2+ years of experience leading Agile/Scrum teams.

· Strong ability to manage dependencies, remove blockers, and drive delivery

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

Summary 

We are seeking a highly skilled Generative AI Engineer with hands-on experience in transformer-based architectures and 

advanced model training. You will work on cutting-edge applications involving large language models (LLMs), attention 

mechanisms, and generative AI systems across text and multimodal domains

www.c5i.ai

Course5 Intelligence Limited, 

201, Ceejay House,

Dr. Annie Besant Road, Worli,

Mumbai – 400018 India. Tel: +91 22 40682822

Internal

Key Responsibilities

• Design, implement, and fine-tune transformer-based models (GPT, BERT, T5, etc.) for NLP and generative tasks

• Optimize training using advanced techniques like gradient checkpointing, label smoothing, and mixed-precision 

training

• Implement and explain attention mechanisms including self-attention, cross-attention, and causal masking

• Apply and compare generation strategies (e.g., beam search, top-k, top-p, temperature tuning)

• Improve inference latency and reduce hallucination in large-scale transformer deployments

• Adapt transformer models for low-resource datasets and multimodal generation (text + image/audio)

• Collaborate with product and research teams on prompt engineering and context window management

Required Skills

• 3+years of experience in machine learning, deep learning, or Al research, With a focus on generative models. 

• Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational 

Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E) RAG and Prompt Engineering

• Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language 

models (LLMS). 

• Strong programming skills in python and familiarity with relevant libraries and frameworks. 

• Hands-on experience in building data applications using Streamlit or similar tools

• Deep understanding of transformer architecture, including multi-head attention, layer normalization, and residual 

connections

• Proficiency with Hugging Face Transformers, PyTorch or TensorFlow

• Experience in training and deploying LLMs for tasks like text generation, summarization, or translation

• Familiarity with AdamW, learning rate warm-up, and optimization strategies

• Exposure to advanced transformer variants (e.g., Transformer-XL, Longformer, BigBird, LoRA)

• Solid debugging and performance tuning skills

Good-to-Have

• Experience with Docker, Kubernetes, and MLOps

• Knowledge of CI/CD pipelines and model deployment best practices

Soft Skills

• Clear and effective communicator with a knack for data storytelling

• Ability to align diverse stakeholders around a shared AI vision

• Demonstrated leadership in cross-functional environments

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of 

race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or 

special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor 

necessary accommodations