UI/UX Designer

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)

Job Title: Marketing Executive (Female Only)

Location: Gandhinagar, Gujarat

Employment Type: Full-Time

Salary: 15k to 18k

Job Summary

We are looking for a dynamic and result-driven Marketing Executive to support our marketing initiatives, build brand presence, and contribute to lead generation. The role involves executing marketing campaigns, coordinating with internal teams, managing promotions, and supporting overall business growth.

Key Responsibilities

• Identify, research, and generate new business leads through various channels (digital, calling, email, field visits, events).
• Execute outbound calling, email marketing, and follow-ups for lead nurturing.
• Maintain and update lead databases with accurate information.
• Qualify leads and schedule meetings/demos for the sales team.
• Coordinate with sales teams to support lead generation and promotional activities.
• Manage social media content, branding activities, and digital marketing task.
• Prepare marketing reports, track campaign performance, and provide insights.
• Maintain relationships with vendors, agencies, and partners for marketing activities.

Skills & Qualifications

• Bachelor’s degree in Marketing, Business Administration, or a related field.
• 6 month – 1 year of experience in marketing or a similar role.
• Strong communication and interpersonal skills.
• Basic understanding of digital marketing, social media, and branding.

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 or master’s degree in computer science or equivalent work experience.
• A solid understanding of the full web technology stack and experience in developing web applications
• Strong experience with React JS framework for building visually appealing interfaces and back end frameworks like Django
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Good knowledge of object-oriented programming and data structures in Python
• Experience with NoSQL databases, web server technologies, designing, and developing APIs.
• Strong knowledge and work experience in AWS cloud services
• Proficiency with Git, CI/CD pipelines.
• Knowledge in Agile/Scrum processes.
• Experience in Docker container usage.

Roles and responsibilities:

• Develop sophisticated web applications for drone control, data management, security, and data protection.
• Build scalable features using advanced framework concepts such as Microservices, Queues, Jobs, Events, Task Scheduling, etc.
• Integrate with Third-Party APIs/services
• Use theoretical knowledge and/or work experience to find innovative solutions to the problems at hand.
• Collaborate with team members to ideate solutions.
• Troubleshoot, debug, and upgrade existing software.
• Passionate to learn and adapt in a start-up environment.

Perks:

• Hands-on experience with state of the art facilities we use for robot development.
• Opportunity to work with industry experts and researchers in the field of AI, Computer Vision, and Machine Learning.
• Competitive salary.
• Stock options.
• Opportunity to be an early part of the team and grow with the startup.
• Freedom of working schedule.
• Opportunity to kickstart and lead your own projects.

• A positive attitude, willing to jump in and tackle new challenges.

• 1- 3 years of experience in technical writing

• coordination and collaboration with the internal teams and concered stakeholders