City Sales Head

Location-Thane

Profile-Research & Product Engineer

About Company-

Smart microscopy solutions. CILIKA Digital Microscope & MICALYS Whole Slide Scanner for healthcare & research professionals.

* Design for plastic products

* Design for sheet metal products

* Design for manufacturing

* Product assembly and functional testing

* Drafting for machine shop vendors

• Job Description

We are looking for a talented Platform Engineer with a strong background in Python programming and AWS services to join our growing team.

Responsibilities:

• Contribute to the development and maintenance of our cloud management platform
• Collaborate with cross-functional teams to define, design, and deliver new features and functionality.
• Provide technical support and guidance to internal and external stakeholders.
• Stay up-to-date with the latest industry trends and technologies.
• 
  

Requirements:

• A total of 2-4 years of professional experience in developing applications/platforms using Python programming
• Strong understanding of Object-Oriented Programming, SOLID principles and RDBMS.
• Demonstrated experience in utilizing AWS services, including Lambda, RDS, and DynamoDB.
• Strong understanding of cloud computing concepts, infrastructure, and architectural best practices.
• Experience in using source control systems, such as Git.
• Excellent problem-solving skills and the ability to debug complex systems.
• Strong communication skills, both written and verbal, with the ability to work effectively with team members and stakeholders.
• A constant hunger for learning and staying up-to-date with the latest industry advancements.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• 
  

Nice to have:

• AWS Certified Developer – Associate or other relevant AWS certifications.
• Experience with the AWS Boto3 SDK for Python.
• Experience with other cloud platforms (Azure, GCP, etc.).
• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes.

We are a small team of closely knit engineers who were able to build a product that helped us to scale until this point. The company’s growth from here is based on the strategy of focusing on  enterprise customers and making products ready for them.

Laundry industry has critical workflows and complex integrations with hardware and machines, and the new developers need to be more confident and fearless about making changes in the system. This will help to deliver products faster to the customers while building more robust products. 

We are looking for an experienced QA Test Automation Engineer to be part of our team. Your understanding of functional testing, writing maintainable tests, written and verbal communication skills will be put to the test.

• Estimate, prioritize, plan, and execute manual testing activities.
• Manage release from the QA perspective and keep the affected parties informed.
• Identify quality assurance process bottlenecks and suggest actions for improvements.
• Preparing test cases for unit, integration and end-end testing.
• Plan and manage automation testing strategy for QDC.

Position Title: Real Estate Sales Manager

Job Overview:

The Real Estate Sales Manager is responsible for leading and managing a team of real estate sales agents to achieve sales targets and organizational goals. They oversee the sales process, develop sales strategies, and provide guidance and support to agents to ensure exceptional customer service and high sales performance.

Key Responsibilities-

Team Leadership:

Recruit, train, and supervise a team of real estate sales agents.

Provide coaching, guidance, and support to help agents achieve their sales targets.

Set performance goals and conduct regular performance evaluations.

Foster a positive and collaborative team environment.

Sales Management:

Develop and implement sales strategies to drive revenue growth and achieve sales targets.

Monitor sales metrics and KPIs to evaluate performance and identify areas for improvement.

Analyze market trends and competition to identify opportunities for growth.

Develop pricing strategies and negotiate contracts with clients.

Client Relationship Management:

Build and maintain strong relationships with clients to understand their needs and preferences.

Provide excellent customer service and address client concerns or inquiries in a timely manner.

Ensure smooth transaction processes and resolve any issues that may arise during the sales process.

Marketing and Promotion:

Collaborate with marketing teams to develop marketing strategies and promotional campaigns.

Create marketing materials, including brochures, advertisements, and online listings.

Utilize digital marketing channels and social media platforms to reach potential clients and generate leads.

Compliance and Legal:

Ensure compliance with real estate regulations, laws, and ethical standards.

Stay updated on industry trends, market conditions, and legal requirements.

Review contracts and agreements to ensure accuracy and compliance with legal requirements.

Qualifications:

• Bachelor's degree in Business Administration, Marketing, or a related field (preferred).
• Proven experience in real estate sales, with a track record of success in sales management.
• Strong leadership and interpersonal skills, with the ability to motivate and inspire a team.
• Excellent communication and negotiation skills.
• Knowledge of real estate laws, regulations, and market trends.
• Proficiency in CRM software and other sales management tools.
• Valid real estate license (required).

Additional Requirements:

• Willingness to work flexible hours, including evenings and weekends, to accommodate client schedules.
• Ability to travel locally to meet with clients and inspect properties.
• Strong organizational and time management skills.

Selected intern's day-to-day responsibilities include:

1. Build and execute social media strategy through competitive research, platform determination, benchmarking, messaging, and audience identification

2. Generate, edit, publish and share daily content (original text, images, video, or HTML) that builds meaningful connections and encourages community members to take action

3. Set up and optimize company pages within each platform to increase the visibility of the company's social content

4. Moderate all user-generated content in line with the moderation policy for each community

5. Create editorial calendars and syndication schedules

6. Continuously improve by capturing and analyzing the appropriate social data/metrics, insights, and best practices, and then acting on the information

7. Collaborate with other departments (customer relations, sales, etc.) to manage reputation, identify key players, and coordinate actions

Who can apply:

1. Internship experience or knowledge on SMM

2. Immediate Joining

3. Should be available for 3 months.
4. Part time Internship

Good to have:

• EE Functional Knowledge and experience in QAD Implementation
• EE Customization experience
• ICT knowledge.
• Hands-on with QRF
• Qxtend handling knowledge
• Knowledge on Automotive / FMCG / Medical Devices / Industrial Manufacturing domains
• Good oral and written communication

Responsibilities:

• Techno-Functional consultant.
• Should be able to handle the tickets assigned on their own.

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models