Content Writer

Hiring: Marketing Manager

Experience: 2–6 Years Industry: Fashion / Retail / Apparel

Working Days: 5 Days

We are looking for a young, dynamic, and hands-on Marketing Manager to lead brand building and marketing campaigns

The ideal candidate should be a self-starter with fresh, out-of-the-box ideas and strong experience in fashion/apparel marketing, retail marketing, digital marketing, and brand building.

Key Responsibilities

• Own and strengthen the brand identity across retail, digital, and outdoor touchpoints • Conceptualize, plan, and execute marketing campaigns to drive footfall, engagement, and brand recall • Develop creative and cost-efficient marketing initiatives, including organic social media, partnerships, in-store activations, and influencer collaborations • Plan and execute marketing initiatives that directly contribute to retail sales growth across EBOs, MBOs, and department stores • Manage the brand's digital and social media presence, including content calendars, social platforms, e-commerce marketing, and online presence • Track campaign performance, ROI, and sales impact and continuously optimize marketing spends • Work closely with Retail, Sales, and Design teams to align marketing initiatives with business priorities and new collection launches • Monitor competitor activity, fashion trends, market developments, and consumer preferences to keep campaigns relevant

Required Skills & Competencies

• 2–6 years of experience in Marketing, Brand Management, or a related field • Fashion, retail, or apparel industry experience preferred • Strong ideas-first and entrepreneurial mindset • Proven ability to deliver impactful campaigns with limited or no budgets • Strong understanding of social media, digital marketing, and e-commerce platforms • Ability to analyze campaign metrics, ROI, and sales impact • Excellent communication, coordination, and project management skills • Strong understanding of brand building and retail marketing

Qualification

Graduate/Postgraduate in Marketing, Mass Communication, Business Administration, or a related field.

• Work with the CG Lead / Creative Director to design and build interactive experiences and Cinematic sequences using Unreal.
• Work on Virtual production, Real-time animation projects and XR projects.
• Create, manage and optimize 3D assets for high-end photorealistic cinematic in UE.
• Material Creation - Design complex materials in Unreal and instruct artists on best practices for material creation.
• Manage render pipelines and optimize settings to ensure compatible outputs in required formats.
• Work on Particle system and Niagara FX system to author custom FX.
• Perform Lighting passes on scenes to ensure high graphical fidelity that meets the art requirement while maintaining an optimized scene.
• Work within time and budget constraints and develop optimal workflows to ensure the best visual and technical quality of the scenes/levels.

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 Description: Data Engineer 

Position Overview:

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.

· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).

· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.

· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.

· Ensure data quality and consistency by implementing validation and governance practices.

· Work on data security best practices in compliance with organizational policies and regulations.

· Automate repetitive data engineering tasks using Python scripts and frameworks.

· Leverage CI/CD pipelines for deployment of data workflows on AWS.

Required Skills and Qualifications

· Professional Experience: 5+ years of experience in data engineering or a related field.

· Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.

· AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:

· AWS Glue for ETL/ELT.

· S3 for storage.

· Redshift or Athena for data warehousing and querying.

· Lambda for serverless compute.

· Kinesis or SNS/SQS for data streaming.

· IAM Roles for security.

· Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.

· Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.

· DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.

· Version Control: Proficient with Git-based workflows.

· Problem Solving: Excellent analytical and debugging skills.

Optional Skills

· Knowledge of data modeling and data warehouse design principles.

· Experience with data visualization tools (e.g., Tableau, Power BI).

· Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

· Exposure to other programming languages like Scala or Java.

Education

· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Why Join Us?

· Opportunity to work on cutting-edge AWS technologies.

· Collaborative and innovative work environment.

Software Development Engineer:

Major Responsibilities:

• Translation of complex functional requirements into technical requirements, implementing and maintaining a coherent and progressive development strategy for our product line
• Design, develop and maintain complex systems using best of the breed development practices and technology.
• Responsible for the over-all software development life cycle.
• Delivery of High Quality, Scalable and Extensible systems and applications on-time and on-budget.
• Adoption and Evolution of the software engineering practices and tools within the organization
• Keep in sync with the latest technology developments and open source offerings. Evaluate and adopt them for solving business problem of organization.
• Collaborate with other technology and business teams within the organization to provide efficient robust solutions to the problems.
• Drive and manage the bug triage process
• Report on status of product delivery and quality to management, customer support and product teams.

Desired Skills

• Strong programming, debugging, and problem-solving skills
• Strong understanding of data structures and algorithms
• Sound understanding of object-oriented programming and excellent software design skills.
• Good experience of SOA/Microservices/Restful services and development of N-tier J2EE / JavaSpringboot applications (API’s).
• Strong understanding of database design and SQL (mySql/mariaDB) development
• Good to have knowledge of NoSQL technologies like MongoDB, Solr, Redis, Cassandra or any other NoSQL database
• Knowledge of design patterns and good to have experience of large-scale applications
• Should have experience in Apache Kafka, RabbitMQ or other Queueing systems.

Ideal Experience

• 3 to 8 years of industry experience.
• Bachelors or Master’s Degree in Computer Science/ IT
• Drive discussions to create/improve product, process and technology
• Provide end to end solution and design details
• Lead development of formalized solution methodologies
• Passion to work in startup like environment

Personal Characteristics

• Passion and commitment
• Strong and excellent software design intellect
• High integrity
• Self-starter

Soft Skill:

• Self-driven, Motivated, Hardworking, Proactive, Good communication skill and documentation skill, should have experience in gathering business requirement and documentation. Should be a team player

Technical Skills:

• A must:- ASP.Net MVC, JavaScript, jQuery, Windows Azure, SQL Server, PL/SQL, ASP.NET using C# - SD [Primary], API creation PL SQL, Azure
• Desirable: - Knowledge on MVC dot net core

Roles and Responsibilities

• 5 - 8 years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
• Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
• Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
• Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
• Experience with cloud technologies like Azure
• Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
• Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
• Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
• Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
• Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
• Experience with chaos or similar methodologies is a plus

• Excellent knowledge in one or more of Python/NodeJS REST Frameworks 
• Hands on experience in system architecture and data modelling. Experience with databases like MySQL, Postgres, MongoDB.
• Devops capabilities - with good understanding of deployments and cloud infrastructure. In depth knowledge of container architecture using Docker is must. 
• Scaled systems using RabbitMQ/ Redis /Celery/ Kafka