Location: Mumbai Experience: 3+ years Education: Bachelors or Masters In Engg. Company Information Workplace Fabric is emerging as a leader as a provider of IoT solution which facilitates activity based working in Agile work environments. Built on a strong foundation we are self-funded and are profitable now. We are looking for an iOS developer who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications. Why is this role important: Workplace Fabric is looking for Software Developers in Test (SDET) for its rapidly growing Technology team in order to build the next generation of services and applications that will drive our growing business. As an SDET, you will be a strong advocate for quality on the scrum team and assist in the planning, design, and verification of user stories. You will promptly identify and escalate defects, work with cross-functional product teams to isolate problems and track the issues to complete resolution. You will validate that user stories meet acceptance criteria and have sufficient automation in place. You will write automated tests for the service APIs and the frontend UI and advance best practices such as correct prioritization of exploratory tests and create a robust and maintainable regression test suites Primary Skills and Functional Experience: • Skilled at creating and executing test plans • Good understanding of software development best practices • Passion for finding bottlenecks and thresholds in existing code • Demonstrated skill in testing enterprise distributed systems • Excellent troubleshooting skills to root cause complex issues • Passion for product quality and attention to detail • Demonstrated skill in using coding standards and being an active participant in code reviews • Strong ability and eagerness to quickly learn new technologies • Strong time management skills with a history of meeting commitments • Excellent verbal and written communication skills Desired Skills and Functional Experience: • Should have good experience on bug tracking & test management tools • Good understanding of operating systems, databases and networking protocols • Understanding and demonstrated use of Ruby, Ruby on Rails, RSpec etc. • Good working knowledge of Linux • Demonstrated skill using Git • Knowledge of performance and scalability test approaches and automation Role and Responsibilities will include: You are a highly energetic individual with excellent written and communication skills. You are a great team player, but not afraid to question assumptions and take initiative. You love to solve problems and will work closely with other engineering team members. You will interact with product, design, QA and many other groups to design and develop world class engineering products in an exciting fast-paced environment. You will be involved in defining compelling new features, supporting innovative and intuitive user interfaces, and implementing core application logic. You will work closely with other engineers and different groups across Workplace Fabric. As Software Development Engineer in Test (SDET) at Workplace Fabric, you will design test specs and create test strategy for new and existing features, including the RESTful and SOAP APIs of our services. You will create, prioritize, and organize test cases into logical suites for both automated and manual execution. You will define test framework requirements and develop modules to automate feature test cases. You will automate test cases using frameworks for functional, performance, and stress tests. You will also create automated test tools to reduce manual test execution time. You will execute test cases and report results after initial creation. You will execute and monitor results of automated suites within our CI infrastructure, work with other engineers to increase manual and automated test coverage, research evolving test and automation trends. You will utilize test and development best practices, patterns, and processes within the engineering team. You will participate in Scrum for assigned projects, and work closely with Development to define, research, correct, and retest defects. You will represent testing needs in software requirements and design review inspections. You will research technical advancements to improve testing for new or existing products. You will continuously discover, evaluate, and implement new technologies to maximize testing efficiency. Competencies required for Success in This Role • Customer Focus • Quality of Work • Problem Solving • Ownership & Drive • Collaboration and Teamwork • Creativity and Innovation

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About Workplace Fabric Ltd.

Founded :

2011

Type :

Product

Size :

20-100

Stage :

Profitable

About

Workplace FABRIC helps office users maximise their productivity while ensuring best use of built assets. Our solutions solve daily space challenges and deliver deep insights to help strategic real estate decisions.

Our solutions have been built from deep experience in both agile working and secure cloud technology. Because we understand the challenges, we provide a unique service that focuses on user experience while delivering actionable workplace intelligence.

Connect with the team

Ratnesh Deepak

Raj Krishnamurthy

Jugal Thakkar

Roshani Gami

Company social profiles

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Data Science - Manager / Lead

a leading data & analytics intelligence technology solutions provider to companies that value insights from information as a competitive advantage

Agency job

via HyrHub by Neha Koshy

Bengaluru (Bangalore)

7 - 10 yrs

₹10L - ₹30L / yr

Data Science

Machine Learning (ML)

MLOps

Python

PySpark

What are we looking for?

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
Hands on experience with python, deploying ML models
Hands on experience with time-wise tracking of model performance, and diagnosis of data/model drift
Familiarity with Dataiku, or other data-science-enabling tools (Sagemaker, etc)
Demonstrated familiarity with distributed computing frameworks (snowpark, pyspark)
Experience working with various types of data (structured / unstructured)
Deep understanding of all data science phases (eg. Data engineering, EDA, Machine Learning, MLOps, Serving)
Highly self-motivated to deliver both independently and with strong team collaboration
Ability to creatively take on new challenges and work outside comfort zone
Strong English communication skills (written & verbal)

Roles & Responsibilities:

Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority
Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team
Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support
Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions
Strong business analysis, product design, and product management skills
Ability to work in a collaborative environment - reviewing peers' code, contributing to problem- solving sessions, ability to communicate technical knowledge to a a variety of audience (such as management, brand teams, data engineering teams, etc.)
Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline
Work with all sizes of ML model from linear/logistic regression to other sklearn-like models, to deep learning
Formulate training schema for unbiased model training e.g. K-fold cross-validation, leave-one- out cross-validation) for parameter searching and model tuning
Ability to work on machine learning work like recommender systems, end-to-end ML lifecycle)
Ability to manage ML on largely imbalanced training sets (<5% positive rate)
Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline

What are we looking for?

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
Hands on experience with python, deploying ML models
Hands on experience with time-wise tracking of model performance, and diagnosis of data/model drift
Familiarity with Dataiku, or other data-science-enabling tools (Sagemaker, etc)
Demonstrated familiarity with distributed computing frameworks (snowpark, pyspark)
Experience working with various types of data (structured / unstructured)
Deep understanding of all data science phases (eg. Data engineering, EDA, Machine Learning, MLOps, Serving)
Highly self-motivated to deliver both independently and with strong team collaboration
Ability to creatively take on new challenges and work outside comfort zone
Strong English communication skills (written & verbal)

Roles & Responsibilities:

Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority
Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team
Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support
Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions
Strong business analysis, product design, and product management skills
Ability to work in a collaborative environment - reviewing peers' code, contributing to problem- solving sessions, ability to communicate technical knowledge to a a variety of audience (such as management, brand teams, data engineering teams, etc.)
Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline
Work with all sizes of ML model from linear/logistic regression to other sklearn-like models, to deep learning
Formulate training schema for unbiased model training e.g. K-fold cross-validation, leave-one- out cross-validation) for parameter searching and model tuning
Ability to work on machine learning work like recommender systems, end-to-end ML lifecycle)
Ability to manage ML on largely imbalanced training sets (<5% positive rate)
Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline

Sales Executive

at Synergylabs Technology Pvt Ltd

1 recruiter

Posted by suman yadav

Gurugram

1 - 3 yrs

₹3L - ₹8L / yr

Sales

Inside Sales

bdm

JD for Sales Executive

About SynergyLabs

Synergy Labs is a Gurgaon-based specialized artificial intelligence solution provider focusing on smart policing solutions using computer vision. Synergy Labs has delivered custom-made machine learning solutions tailored to business needs and requirements in various industries, systematically designed by applying MIT's approach to design thinking in order to deliver a scalable product that exceeds customer expectations. Our team of 20+ AI researchers and developers use the latest technologies, frameworks & hi-tech methodologies to offer impeccable and quality services globally.

We help our clients worldwide to deliver their vision to their numerous customers effortlessly. Our services & solutions are designed for large-scale businesses as well as start-ups.

Job brief

We are looking for an enthusiastic marketing executive to join our marketing/Sales department and provide creative ideas to help achieve our goals. You will have administrative duties in developing and implementing marketing strategies.

As a marketing executive, you will collaborate with our marketing and advertising team in all stages of marketing campaigns. Your insightful contribution will help develop, expand and maintain our marketing channels.

It will help you acquire marketing skills and provide you with knowledge of various marketing strategies. Ultimately, you will gain broad experience in marketing and should be prepared to enter any fast-paced work environment.

Responsibilities

● Collect quantitative and qualitative data from marketing research

● Perform market analysis and research on the competition

● Call the client and check the requirements

● Services existing accounts, obtains orders, and establishes new accounts by planning and organizing a daily work schedule to call on existing or potential sales outlets and other trade factors.

● Adjusts content of sales presentations by studying the type of sales outlet or trade factor.

● Submits orders by referring to price lists and product literature.

● Keeps management informed by submitting activity and results reports, such as daily call reports, weekly work plans, and monthly and annual territory analyses.

● Monitors competition by gathering current marketplace information on pricing, products, new products, delivery schedules, and merchandising techniques.

● Resolves customer complaints by investigating problems, developing solutions, preparing reports, and making recommendations to management.

● Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies.

● Provides historical records by maintaining records on customer sales.

● Contributes to team effort by accomplishing related results as needed.

● Manage and update company database and customer relationship management systems (CRM)

Requirements

● Strong desire to learn along with professional drive

● Solid understanding of different marketing techniques

● Excellent verbal and written communication skills

● Excellent knowledge of MS Office

● Familiarity with marketing computer software and online applications (e.g. CRM tools, Online analytics)

● Passion for the marketing industry and its best practices

● Current enrollment in a related BS or Masters degree