Digital Marketing Coordinator

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.

Role Overview 

We are looking for a proactive and detail-oriented Business Analyst with strong communication and analytical 

skills to support requirement gathering, client coordination, and project execution activities. The ideal candidate 

should possess good aptitude, structured thinking, and the ability to work closely with cross-functional teams in 

a fast-paced delivery environment. 

Key Responsibilities 

●Gather, analyze, and document business and functional requirements 

●Coordinate with clients, internal stakeholders, and technical teams for requirement clarification 

●Prepare BRDs, user stories, workflows, wireframes, and functional documentation 

●Assist in project planning, effort discussions, and task tracking 

●Conduct requirement validation and support QA/UAT activities 

●Identify process gaps and recommend improvement opportunities 

●Participate in client meetings, workshops, and status discussions 

●Ensure timely communication of risks, dependencies, and change requests 

Required Skills 

●Strong verbal and written communication skills 

●Good analytical and problem-solving ability 

●Strong aptitude and logical thinking 

●Understanding of SDLC and Agile methodologies 

●Ability to convert business requirements into functional specifications 

●Good documentation and presentation skills 

●Strong coordination and stakeholder management abilities 

Preferred Qualifications 

●Bachelor’s degree in Business, IT, Engineering, or related field 

●Prior exposure to software/web/mobile projects preferred 

●Familiarity with tools like Jira, Trello, Confluence, Figma, or similar platforms is a plus 

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. 

Job Opening: Pre Sales & Sales Manager

Location: Pitampura

Salary: ₹40,000 - ₹50,000 per month

Experience: 4+ years

A leading Chemical Export Company is looking for an experienced Pre Sales & Sales Manager with excellent MS Office skills and fluency in English.

Requirements:

Minimum 4 years of experience in pre-sales and sales.

Strong communication and negotiation skills.

Proficiency in MS Office.

Fluency in English.

Responsibilities:

Skills:

1. Strong knowledge of PHP web frameworks {such as Laravel, CI, etc depending on your technology stack}
2. Understanding the fully synchronous behavior of PHP
3. Understanding of MVC design patterns

Who should Apply:.

• iOS Engineers with 2-4 years of experience in iOS app development using Swift or

objective C.

• Engineers with working experience in Swift or Objective C, iOS Frameworks, various

architecture patterns, OOPs concepts, MVVM etc.

• Experienced with iOS frameworks such as Core Data, Core Animation, UI Kitetc.

• Hands-on experience in multi-threaded programming and good knowledge of

networking concepts along with enhancing profiling apps.

• Hands-on with the tools like Git Bitbucket, JIRA, or Confluence.

• Experience of accessing data as JSON/ XML using REST APIs.

• Good to be experienced on Swift UI, Swift Package Manager, Swift Lint

• Knowledge of iOS design patterns and best practices.

• Consistently embarking an excellent first impression on call, delivering exceptional customer experience
• Engage potential customers in dialogue that opens opportunities with the help of scripts and presence of mind
• Going an 'extra mile' to create happy customers to drive loyalty and increase repeat purchase
• Contacting prospective clients / existing customers to inform them about the product using scripts
• Accurately record details of communication with customers
• Developing and sustaining solid relationships with customers to encourage repeat business
• Answer questions about product features in an engaging manner
• Answer all customer questions honestly and accurately
• Using sales scripts drive sales and respond to customer objections
• Developing in-depth knowledge of products and services offered by us to make suitable recommendations based on customers' needs and preferences.

• Develop Android handset clients
• Develop architecture and low-end designs based on customer and product management requirements
• Communication of designs and other development issues to developers and managers
• Design, develop and manage automated unit and acceptance tests
• Peer review of design code and tests
• Participate in the agile development program
• Bug Fixing
• Take ownership of deliverables
• Adhere to development methodologies

ESSENTIAL SKILLS/ATTRIBUTES:

• Excellent knowledge of Android
• Appreciation for the limitations of handset development
• Attention to detail and subtleties of UI design and implementation
• Understanding of design patterns
• Ability to design for scalability and resilience
• Strong application process flow and problem-solving techniques
• Strong focus on refactoring and code quality
• Understanding of software configuration management and release management
• High levels of software engineering literacy and communication skills
• Friendly and professional manner
• Minimum 3 - 5 years java development
• Third Level Qualifications in computing, mathematics, or science
• Experience in building web (PWA)/mobile app using ionic/reactjs (react native)

DESIRED SKILLS:

• Experience of working in an agile environment
• Product development and lifecycle experience
• Experience in unit testing
• Scripting (JavaScript, Ruby, Python, Shell, etc.)
• Knowledge of build systems such as Maven and Gradle
• RESTful development
• XML, JSON, HTTP, SyncML, HTML 5, CSS, Groovy
• Windows and Unix development
• Experience leading development teams or performing customer-facing duties is an advantage
• Kotlin Language Skills

Stylopay is one of the few companies globally who offer a payment platform, pre- integrated with the payment ecosystem, as a service to businesses. They have global issuance capabilities through partnerships with Issuers in Europe/UK, South East Asia and Middle East, payment processors and KYB/KYC/Risk service providers. IBAN, Wallet and Pre-card card programs are live in geographies across Europe and Asia.
To augment our Operations, we require a resource with experience in generating reports from IT production environment, preferably in financial domain. She/he should have strong problem solving, analytical and communication skills (verbal and written). She/he should be an excellent team player, with ability to work in a global team and with deadlines.