Graphic Designer

About the Role

We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.

Responsibilities

• Develop and implement NLP solutions to automate legal document analysis and extraction
• Create and optimize prompt engineering strategies for large language models
• Design search functionality leveraging semantic understanding of legal documents
• Build document extraction pipelines to process unstructured legal text data
• Develop data visualizations using PowerBI and Tableau to communicate insights
• Collaborate with product and legal teams to enhance our tech-enabled services
• Continuously improve model performance and user experience.

Requirements

• Bachelor's degree in relevant field
• 1-5 years of professional experience in data science, with focus on NLP applications
• Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, )
• Proficiency in prompt engineering and optimization techniques
• Experience with document extraction and information retrieval systems
• Strong skills in data visualization tools, particularly PowerBI and Tableau
• Excellent programming skills in Python and familiarity with NLP libraries
• Strong understanding of legal terminology and document structures (preferred)
• Excellent communication skills in English

What We Offer

• Competitive salary and benefits package
• Opportunity to work at India's largest legal tech company
• Professional growth in the fast-evolving legal technology sector
• Collaborative work environment with industry experts
• Modern office located in Bangalore
• Flexible work arrangements

Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools.

Location: Bangalore, India

Job Title: Mac OS Storage Driver Developer – SCSI

Location: Bangalore

Position Type: Full-time Contract

Shift: Day

Experience: 5 to 8yrs

Key Responsibilities:

• Develop and maintain macOS storage drivers with a focus on SCSI protocols using the DriverKit framework.

• Collaborate with hardware engineers to understand SCSI device specifications and design drivers that seamlessly interface with macOS.

• Implement storage driver functionalities including command handling, data transfer, error recovery, and performance optimizations.

• Debug and troubleshoot driver issues leveraging macOS debugging tools like LLDB and Instruments.

• Ensure driver compliance with Apple’s security, sandboxing, and code signing requirements.

• Develop and maintain test plans, documentation, and quality assurance procedures for storage drivers.

• Participate in code reviews and maintain high code quality and best practices.

• Provide technical support during driver integration, deployment, and production troubleshooting.

Job Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline.

• Proven expertise in developing macOS storage drivers, specifically SCSI-based drivers using the DriverKit framework.

• Strong proficiency in C/C++ programming; knowledge of Swift or Objective-C is a plus.

• Deep understanding of DriverKit APIs, macOS user-space driver architecture, and IO Kit storage concepts.

• Solid knowledge of SCSI protocols, commands, and storage architecture including RAID.

• Experience with debugging and profiling tools on macOS (LLDB, Instruments, system logs).

• Familiarity with macOS security model, driver sandboxing, and code signing procedures.

• Knowledge of hardware interfaces (PCI, Thunderbolt, USB) relevant to storage devices.

• Excellent problem-solving ability and eLective communication skills.

• Ability to work independently and collaboratively in an Agile environment.

Preferred Qualifications:

• Experience with Agile methodologies and SCRUM frameworks.

• Cross-platform storage driver development experience.

• Knowledge of user-space driver and daemon interaction models.

• Familiarity with continuous integration systems and automated testing strategies.

Experience: 5-8 Years

Work Mode: Remote

Job Type: Fulltime

Mandatory Skills: Python,SQL, Snowflake, Airflow, ETL, Data Pipelines, Elastic Search, & AWS.

Role Overview:

We are looking for a talented and passionate Senior Data Engineer to join our growing data team. In this role, you will play a key part in building and scaling our data infrastructure, enabling data-driven decision-making across the organization. You will be responsible for designing, developing, and maintaining efficient and reliable data pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes.

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines for ELT and ETL processes, ensuring data accuracy, completeness, and timeliness.
• Work with stakeholders to understand data requirements and translate them into efficient data models and pipelines.
• Build and optimize data pipelines using a variety of technologies, including Elastic Search, AWS S3, Snowflake, and NFS.
• Develop and maintain data warehouse schemas and ETL/ELT processes to support business intelligence and analytics needs.
• Implement data quality checks and monitoring to ensure data integrity and identify potential issues.
• Collaborate with data scientists and analysts to ensure data accessibility and usability for various analytical purposes.
• Stay current with industry best practices, CI/CD/DevSecFinOps, Scrum and emerging technologies in data engineering.
• Contribute to the development and enhancement of our data warehouse architecture

Required Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience as a Data Engineer with a strong focus on ELT/ETL processes.
• At least 3+ years of exp in Snowflake data warehousing technologies.
• At least 3+ years of exp in creating and maintaining Airflow ETL pipelines.
• Minimum 3+ years of professional level experience with Python languages for data manipulation and automation.
• Working experience with Elastic Search and its application in data pipelines.
• Proficiency in SQL and experience with data modelling techniques.
• Strong understanding of cloud-based data storage solutions such as AWS S3.
• Experience working with NFS and other file storage systems.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Job Title: Operations Manager

Company: Denmonk - Sportswear Brand

Location: [Specify the location]

Job Description:

Denmonk, a leading sportswear brand, is seeking a highly motivated and experienced Operations Manager to oversee and streamline our operational activities. The Operations Manager will play a pivotal role in ensuring the efficient functioning of our company's supply chain, inventory management, and production processes. If you are a dynamic individual with strong skills in MS Excel and a passion for the sportswear industry, we encourage you to apply.

Key Responsibilities:

1. Supply Chain Management:

• Manage and optimize the end-to-end supply chain, including procurement, inventory, and logistics.
• Ensure timely procurement of raw materials and components to meet production demands.
• Establish and maintain relationships with suppliers to ensure a reliable supply chain.

1. Inventory Management:

• Monitor and control inventory levels to prevent overstock or understock situations.
• Implement effective inventory tracking systems to reduce waste and improve efficiency.
• Conduct regular inventory audits and reconcile discrepancies.

1. Production Oversight:

• Collaborate with production teams to ensure efficient manufacturing processes.
• Monitor production schedules and resource allocation to meet delivery deadlines.
• Implement strategies for continuous improvement and quality control.

1. Data Analysis and Reporting:

• Utilize MS Excel to analyze operational data and performance metrics.
• Prepare regular reports and forecasts on operational efficiency and cost management.
• Make data-driven decisions to improve processes and reduce operational costs.

1. Team Leadership:

• Manage and lead a team of operations and logistics professionals.
• Set clear objectives, provide guidance, and facilitate professional development.
• Foster a positive and productive working environment.

Qualifications and Skills:

• Bachelor's degree in Business, Operations Management, or a related field (Master's degree is a plus).
• Proven experience in operations management or a similar role in the sportswear industry.
• Proficiency in MS Excel, including data analysis and reporting.
• Strong analytical and problem-solving skills.
• Excellent organizational and time management abilities.
• Effective leadership and team management skills.
• Knowledge of supply chain best practices and inventory control.
• Excellent communication and interpersonal skills.
• Ability to adapt to a fast-paced and dynamic work environment.
• A passion for sportswear and a keen interest in industry trends.

How to Apply:

Be sure to include "Operations Manager Application" in the subject line.

Denmonk is an equal opportunity employer. We welcome applicants of all backgrounds and experiences to apply.

Job Responsibilities:

• Be a part of a team developing a rapidly growing product used by thousands of small businesses.
• Responsible for building large scale applications that are high performance, scalable, and resilient in an microservices environment
• Evaluate new technologies and tools such as new frameworks, methodologies, best practices and other areas that will improve overall efficiencies and product quality

Skill Set:

• 3+ years of working experience in developing API centric core Java/J2EE applications using Spring boot, JPA, REST API, XML and JSON
• Experience in frontend framework - any one of Backbone, Angular, Vue or React
• Working experience in any one of the Cloud Platforms - Google Cloud (preferable) or AWS
• Experience in large scale databases - NoSQL and MongoDB.
• Hands on experience in Eclipse based development and using Git, SVN, Junit
• Past experience in startups or product development is a big plus.

Required Candidate profile