Desktop Support

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

• A job description for an SAP subject matter expert (SME) may include the following skills and responsibilities:
• Analytical and problem-solving skills: SMEs need to be able to analyze complex problems, identify patterns, and propose solutions. 
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• Communication skills: SMEs need to be able to share their expertise with others, including in meetings, training sessions, and seminars. They may also need to interact with customers. 
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• Commitment to relevancy: SMEs need to keep up with changes in industry practices and protocols. 
• 
  
• Continuous learning and adaptability: SMEs need to be eager to learn and stay current with the latest updates. 
• 
  
• SAP functional skills: SMEs need to have a deep understanding of SAP modules. 
• 
  
• Process standardization: SMEs may be responsible for standardizing processes and ensuring proper alignment within their area of the business. 
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• Identifying and fixing operational issues: SMEs may identify and fix operational issues that staff face on a daily basis

We are looking for a resilient, empathic Business Development Executive to contribute to 

the growth of our company. Business development executives are responsible for finding 

and retaining clients, encouraging extant clients to purchase added products or features, 

and remaining abreast of changes in consumption.

Requirements:

• Bachelor's degree in business management, marketing, or related field.

• 0 - 3 years' relevant work experience in business development or similar field 

preferred.

• Excellent written and verbal communication skills.

• Ability to handle multiple projects simultaneously and work under pressure.

• Proficient in Microsoft Office and relevant software.

Responsibilities:

• Identifying profitable business opportunities

• Conducting extensive market research

• Creating actionable business strategies

• Nurturing relationships with clients

• Analyzing market trends.

Roles and Responsibilities

We are looking for smart and driven fashionistas who are quick to learn, passionate about marketing and content and excited about the 0 to 1 journey.

• Strategise and execute all social media content (daily posts)
• Respond to all customer questions & comments on social media channels (Instagram, Facebook, Linkedin).
• Work with the marketing and storefront team to develop social calendars, brand campaigns and promotions.
• Monitor and track content and analyse the trends through comments, shares, followers, etc. Share daily & weekly reports on the influencers and content.
• Strategise and execute content for social media, website, emailers, and on-app content.

Skills (Must have)

• Bachelors degree ongoing/passout.
• Must be a regular social media user.
• Should have a keen eye for identifying new and interesting fashion brands..
• Excel skills required - ability to do basic analysis on Excel.
• Socially engaging and self learner.

Bonus points if you

• Have a social following of your own or are an active member of fashion communities.
• Are an independent brand enthusiast and supporter.
• Are enthusiastic about being a part of a startup and enjoy taking end to end ownership of tasks.

• Strong first principles
• Hustle! We're young, lean, and in our early days. You'd have to set up your own shop, work with design customers to find generalizable use cases, and build them out.
• Ability to collaborate with cross-functional teams to build and ship new features
• At least 2-6 years of experience with primary exp in Python
• Must have skills - Flask / Django, RESTful Web Services, Database SQL / NoSQL
• The preferred Location is Bangalore but is also flexible with PAN India.
• Would require candidates from Tier 1 & 2 Companies or Tier 1 & 2 Colleges preferably.
• Proficient experience of back-end programming language - Python
• The preferred Location is Bangalore but is also flexible with PAN India.
• Would require candidates from Tier 1 & 2 Companies or Tier 1 & 2 Colleges preferably.

Intro

We are looking for an experienced Senior Software Engineer to join our team and drive the technology growth of our pay later platform. At Rely, we want passionate and talented individuals that want a challenge building the next generation payment products for Millennials across Asia. Together we will build the best products using amazing technology.

What will you do

• Design and implement business critical, high performance large scale services.
• Translate business requirements into scalable and extensible design.
• Coordinate with cross functional teams (Data, UX, QA etc.) on planning and execution.
• Continuously improve code quality, product execution and customer delight.
• Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies.
• Building and managing automated build/test/deployment environments.
• Lead team members on functional and nonfunctional requirements and spread goals across the team.
  
  

What will you need

• 3+ years of hands-on experience with python and a backend framework (ideally django)
• 1+ years Hands-on experience working with Javascript and JS frameworks (Angular, React)
• Hands-on experience in designing, developing, testing and deploying applications large scale applications in any language or stack
• Experience working with high scale distributed systems.
• Practical knowledge of scalable software design.
• Good working knowledge of AWS
• Proficient with APIs, web protocols, OAuth, git.
• Ability to understand and implement Continuous Integration and Continuous Delivery.
• Well versed with Lean methodologies, TDD and Test Engineering and Automation.
• Ability to design and implement low latency RESTful services.
• Willingness to learn new languages and methodologies.

What would be a bonus

• Experience in production environments with large data sets
• Experience in scaling systems to millions of users.
• Work experience in a fast-growth startup
• Experience in DevOps tools but not limited to Docker, Kubernetes
• Experience in Gunicorn and Nginx