Graphic Designer

Assist in developing architectural concepts, presentations, and design drawings.

Support in preparing detailed plans, sections, elevations, and 3D models.

Conduct site visits, surveys, and assist in documenting site conditions.

Coordinate with consultants, vendors, and internal teams for accurate design development.

Ensure drawings comply with local building codes and standards.

Assist in preparation of BOQs, material selections, and design documentation.

Participate in client meetings and help translate requirements into design solutions.

Support project planning, documentation, and revisions as required.

Required Skills & Qualifications

Bachelor’s degree in Architecture (B.Arch) from a recognized institution.

Proficiency in Autocad, SketchUp, Revit and MS Office.

Strong understanding of architectural design principles and construction basics.

Good visualization, detailing, and presentation skills.

Ability to learn quickly and work collaboratively within a team.

Strong communication and time management abilities.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Responsibilities:

• Educating customers about our business solutions.

• Presenting product to prospective clients.

• Negotiate agreements and keep records of sales and data.

• Closing customer contracts and generating new sales.

• Using automation tools to track progress and report goals.

• Analyzing consumer needs and developing innovative solutions.

• Remain in regular contact with your clients to understand and meet their needs.

Qualifications:

•Experience in the field of Saas
Strong interpersonal skills. Must be able to negotiate and problem-solve.

• Knowledge of current marketing and advertising trends and best practices.

• Strong leadership and decision-making skills.

• Demonstrable business acumen and a deep understanding of business sales processes.

• Proven experience as an Account Executive, or similar sales/customer service role

• Knowledge of market research, sales and negotiating principles

• Excellent communication/presentation skills and ability to build relationships

• Organizational and time-management skills

• Enthusiastic and passionate

Why should you join us?

We at Fieldproxy provide more than just a startup experience. Some of the perks you will be getting include:

1. Competitive Salary

2. Company paid Health Insurance

3. Friendly and supportive work culture

4. Other perks such as free snacks and an informal dress code

Expi with Node.js, Express, Feather JS
3rd party API integration knowledge
Database- MySql or NoSql

Kafka Client Integration with Nodejs

Redis integration using Nodejs

Commercial / residential Building experience is a must.

Industrial building exposure will not be considered relevant experience.

Material Planning

Monitoring progress of project assigned

Coordination with Project Team, Consultants, Quantity Billing