Retail Store Manager

We are seeking a passionate Embedded System Trainer cum Developer who can train engineering students or professionals in embedded technologies and contribute to in-house development projects. This is a hybrid role that combines technical training with real-time project execution in embedded systems.

Role : Actimize SAM Developer / Suspicious Activity Monitoring is a must and should be min of 3 years exp

Location : Mumbai / Bengaluru

Duration : FTE with Client payroll direct

Type : Hybrid Mode

Skills:

• Proven experience with AML Actimize SAM, AIS processes, and UDM table structures with minimum 4 years of experience
• Strong understanding of Actimize models, rules, and alert workflows.
• Proficiency in SQL and database management.
• Excellent analytical, problem-solving, and collaboration skills.
• Detail-oriented with subject matter expertise in AML systems.
• Experience with Git and Visual Studio is desirable.
• Strong stakeholder engagement and requirement analysis capabilities.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

 Automation & MuleSoft experience is a must

 Automation Tools -> Test NG + Rest Assured

 Testing scope -> Integration & API Automation testing (EAPI/PAPI/SAPI), Salesforce integration experience is required

 Mulesoft experience -> Knowledge of API-led architecture, API specification knowledge, Anypoint platform experience - Runtime Manager/Exchange/API Manager/Anypoint Monitoring/Visualizer & Experience with Anypoint Studio is required for the QA Lead

 DevOps automation -> Integrating automated test to DevOps pipelines (Jenkinds/GitHub Actions). GitHub actions experience is a plus.

Programming Languages: Strong proficiency in Java, Python, JavaScript, or C# for writing automation scripts.

 API Testing Tools: Expertise in Postman, REST Assured, Karate, and similar tools for REST API validation and automation.

 Automation Frameworks: Hands-on experience with Selenium, Cypress, Playwright, TestNG, JUnit, and BDD frameworks like Cucumber or SpecFlow.

 CI/CD Integration: Ability to integrate automated tests into pipelines using Jenkins, GitHub Actions, or Azure DevOps.

 Version Control: Familiarity with Git, Bitbucket, and branching strategies for collaborative development.

 Database Knowledge: SQL for data validation and backend testing.

Testing Expertise

 API Automation: Design and execute automated API tests, validate endpoints, and ensure reliability across environments.

 Functional & Regression Testing: Strong understanding of test types including smoke, sanity, and integration testing.

 Defect Management: Experience with tools like Jira and TestRail for tracking and reporting

Apply Link - https://tally.so/r/wv0lEA

Key Responsibilities:

1. Software Development:

• Design, implement, and optimise clean, scalable, and reliable code across [backend/frontend/full-stack] systems.
• Contribute to the development of micro services, APIs, or UI components as per the project requirements.

1. System Architecture:

• Collaborate and design and enhance system architecture.
• Analyse and identify opportunities for performance improvements and scalability.

1. Code Reviews and Mentorship:

• Conduct thorough code reviews to ensure code quality, maintainability, and adherence to best practices.
• Mentor and support junior developers, fostering a culture of learning and growth.

1. Agile Collaboration:

• Work within an Agile/Scrum framework, participating in sprint planning, daily stand-ups, and retrospectives.
• Collaborate with Carbon Science, Designer, and other stakeholders to translate requirements into technical solutions.

1. Problem-Solving:

• Investigate, troubleshoot, and resolve complex issues in production and development environments.
• Contribute to incident management and root cause analysis to improve system reliability.

1. Continuous Improvement:

• Stay up-to-date with emerging technologies and industry trends.
• Propose and implement improvements to existing codebases, tools, and development processes.

Qualifications:

Must-Have:

• Experience: 2–5 years of professional software development experience in [specify languages/tools, e.g., Java, Python, JavaScript, etc.].
• Education: Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Technical Skills:
• Strong proficiency in [programming languages/frameworks/tools].
• Experience with cloud platforms like AWS, Azure, or GCP.
• Knowledge of version control tools (e.g., Git) and CI/CD pipelines.
• Understanding of data structures, algorithms, and system design principles.

Nice-to-Have:

• Experience with containerisation (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Knowledge of database technologies (SQL and NoSQL).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment and manage multiple priorities effectively.

Responsibilities and duties

• Create content marketing campaigns to drive leads and subscribers Use SEO best practices to generate traffic to our site
• Regularly produce various content types, including email, social media posts, blogs, and white papers
• Actively manage and promote our blog, and pitch articles to relevant third-party platforms
• Edit content produced by other members of the team
• Analyze content marketing metrics and makes changes as needed
• Collaborate with other departments to create innovative content ideas

Job Description: Software Developer

Position Overview:

As a Software Engineer, you will play a crucial role in the development and implementation of innovative software solutions. You will be responsible for designing, coding, testing, and debugging applications while collaborating with cross-functional teams to deliver high-quality software products. This position offers the opportunity to work on diverse projects, solve complex technical challenges, and contribute to the advancement of cutting-edge technologies.

• Key Responsibilities:

1. Software Development: Design, develop, and maintain software applications in accordance with project requirements and coding standards. Write clean, efficient, and well-documented code using appropriate technologies and programming languages.

2. System Architecture: Contribute to the design and architecture of software systems, ensuring scalability, reliability, and performance. Collaborate with architects and senior engineers to design robust solutions that meet business objectives.

3. Testing and Debugging: Conduct unit testing, integration testing, and debugging to ensure software quality and reliability. Identify and resolve software defects promptly, documenting issues and solutions as necessary.

4. Collaboration: Work closely with cross-functional teams including product managers, designers, and other engineers to understand project requirements, provide technical insights, and deliver high-quality software solutions on time.

5. Continuous Improvement: Stay updated on emerging technologies, industry trends, and best practices in software engineering. Proactively identify opportunities to improve processes, tools, and methodologies to enhance team productivity and product quality.

6. Documentation: Create and maintain technical documentation including design specifications, system architecture diagrams, and user manuals. Ensure documentation is accurate, comprehensive, and accessible to relevant stakeholders.

7. Communication: Communicate effectively with team members and stakeholders to provide status updates, discuss technical solutions, and address challenges. Foster a collaborative and inclusive team environment built on trust, respect, and open communication.

• Qualifications:

- Bachelor's degree in computer science, Software Engineering, or related field.

- Proven experience in software development, with expertise in one or more programming languages such as Java, Python, C++, or JavaScript.

- Strong understanding of software engineering principles, algorithms, and data structures.

- Experience with software development methodologies such as Agile, Scrum, or Kanban.

- Proficiency in using version control systems (e.g., Git) and development tools (e.g., IDEs, debuggers).

- Excellent problem-solving skills and attention to detail.

- Effective communication and interpersonal skills, with the ability to collaborate in a team environment.

- Commitment to continuous learning and professional development.

Additional Desired Skills :

- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

- Knowledge of web development frameworks (e.g., React, Angular, Django, Flask).

- Familiarity with containerization technologies (e.g., Docker, Kubernetes).

- Understanding of DevOps practices and tools for automation (e.g., CI/CD pipelines).

- Experience with relational and NoSQL databases (e.g., MySQL, MongoDB).

- Knowledge of cybersecurity principles and best practices.