Lead Product Analyst

What would make you a good fit?

o You’re both relentless and kind, and don’t see these as being mutually
exclusive
o You have a self-directed learning style, an insatiable curiosity, and a
hands-on execution mindset
o You have deep experience working with product and engineering teams
to launch machine learning products that users love in new or rapidly
evolving markets
o You flourish in uncertain environments and can turn incomplete,
conflicting, or ambiguous inputs into solid data-science action plans
o You bring best practices to feature engineering, model development, and
ML operations
o Your experience in deploying and monitoring the performance of models
in production enables us to implement a best-in-class solution
o You have exceptional writing and speaking skills with a talent for
articulating how data science can be applied to solve customer problems

Must-Have Qualifications

o Graduate degree in engineering, data science, mathematics, physics, or
another quantitative field
o 5+ years of hands-on experience in building and deploying production-
grade ML models with ML frameworks (TensorFlow, Keras, PyTorch) and
libraries like scikit-learn
o Track-record in building ML pipelines for time series, classification, and
predictive applications
o Expert level skills in Python for data analysis and visualization, hypothesis
testing, and model building
o Deep experience with ensemble ML approaches including random forests
and xgboost, and experience with databases and querying models for
structured and unstructured data
o A knack for using data visualization and analysis tools to tell a story

o You naturally think quantitatively about problems and work backward
from a customer outcome

What’ll make you stand out (but not required)

o You have a keen awareness or interest in network analysis/graph analysis
or NLP
o You have experience in distributed systems and graph databases
o You have a strong connection to finance teams or closely related
domains, the challenges they face, and a deep appreciation for their
aspirations

Job Title : Lead Computer Vision Engineer
Location : Gurgaon

About the company:
The company is changing the way cataloging is done across the Globe. Our vision is to empower the smallest of sellers, situated in the farthest of corners, to create superior product images and videos, without the need for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly compose High-Quality "tuned-in" product visuals, instantly. The company has built the world’s leading image editing AI software, to capture and process beautiful product images for online selling. We are also fortunate and proud to be backed by the biggest names in the investment community including the likes of Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that there is an intelligent and efficient way of doing Digital Production than how the world operates currently.

Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of e
commerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.

Job Requirements:
- Min 3+ years of work experience in Computer Vision with 5-10 years work experience overall
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills

We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.

 

Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree

 

Job Responsibilities:

• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team

• Have minimum 3 years of AWS Cloud experience.

• Well versed in languages such as Python, PySpark, SQL, NodeJS etc

• Has extensive experience in the real-timeSpark ecosystem and has worked on both real time and batch processing

• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.

• Experience with modern Database systems such as Redshift, Presto, Hive etc.

• Worked on building data lakes in the past on S3 or Apache Hudi

• Solid understanding of Data Warehousing Concepts

• Good to have experience on tools such as Kafka or Kinesis

• Good to have AWS Developer Associate or Solutions Architect Associate Certification

• Have experience in managing a team

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe. 

We have a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, and we’ve recently acquired our first external studio, TicTales which is based in France. We have a truly global team making games for a global audience. And it’s paying off: Kwalee has been recognised with the Best Large Studio and Best Leadership awards from TIGA (The Independent Game Developers’ Association) and our games have been downloaded in every country on earth!

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

As a Data Executive you will be involved you’ll be writing Python and SQL to help build useful Tools and supply data for Dashboards for all departments of the company

What you tell your friends you do

“My work allows Kwalee staff to see important information on their games!”

 
What you will really be doing

• Maintaining and upgrading custom Internal Tools

• Creating Data sets for different departments

• Data cleaning and validating important Data sets

• Owning and managing new Reporting systems

• General investigative support on any Data related tasks that occur

How you will be doing this

• You’ll be part of an agile, multidisciplinary and creative team and work closely with them to coordinate efforts and get the best results.

• You’ll think creatively and will be motivated by challenges and constantly striving for the best.

• You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you can get it. We even have a robot!

Team

Our talented team is our signature. We have a highly creative atmosphere with around 100 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.

Skills and requirements

• A degree in a relevant discipline 

• 3+ years of experience with Postgres SQL

• 3+ years of experience with Python

• Demonstrable use of connecting to APIs and pulling data

Very Desirable

• Experience with AWS Lambda

• Experience with AWS s3

• Demonstrable use with Tableau 

We offer

• We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment

• In addition to a competitive salary we also offer private medical cover and life assurance

• Creative Wednesdays! (Design and make your own games every Wednesday)

• 20 days of paid holidays plus bank holidays 

• Hybrid model available depending on the department and the role

• Relocation support available 

• Great work-life balance with flexible working hours

• Quarterly team building days - work hard, play hard!

• Monthly employee awards

• Free snacks, fruit and drinks

Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

Position: Business Analyst 

Team : Business Intelligence

Location:  New Delhi

 

Job Description:

 

We are looking for Business Analyst having 2-4 years having an expertise in Tableau development. Candidate should be able to manage the life cycle of Tableau analytics dashboards, including business requirements gathering, functional specification write-up, prototyping, development, quality testing, user acceptance testing, roll-out and post-launch enhancements implementation. As a Tableau Developer, you should have a demonstrated ability to design engaging and interactive business insights dashboards using Tableau and possesses the knowledge and experience on data visualization best practices, with a focus on enhancing user interaction and user experience.

The candidate will work closely with other team members, developers, and product owners and he/she will be responsible for providing user access to the KPI via reports, data extracts, dashboards etc.

 

Key Responsibilities:

• Act as Tableau developer and Subject Matter Expert (SME) as well as work closely with teams to ensure data sources are accurate, available and analyzable.
• Hands on with Tableau Desktop (dashboard creation, report authoring and troubleshooting, data source management).
• Create and edit SQL queries within Tableau to build calculated fields.
• Create interactive filters, parameters and calculations for preparing dashboards and worksheets in Tableau.
  Build and publish interactive dashboards on Tableau Server. Collaborate with teams and QA analysts to test, clean, and standardized data to meet the business requirements.
• Have the confidence to work cross-functionally with various departments including business stakeholders and technical personnel to exchange ideas.
• Must have excellent verbal communications skills and documentation skills to maintain work flows and dashboard functionality.

Required Skills:

• 2+ years of experience designing and developing business intelligence dashboards using Tableau.
• Experience working in UI, UX space (can be concurrent or overlap with Tableau experience) demonstrable with evidence of using a combination of user interface tools such as wire frames, prototypes, mock-ups, or white boarding to illustrate product usability.
• Experience working with large and complex data set able to write simple queries to create calculated fields.
• Empirical understanding of data systems (BI analytics, data blending, data warehousing, data ETL, etc.) on process automation and standardization
• Experience in articulating and translating business questions using statistical techniques.
• Good communication skills and have an attitude to listen, understand and solve the business related problems.

 

 

We are looking for a skilled Senior/Lead Bigdata Engineer to join our team. The role is part of the research and development team, where you with enthusiasm and knowledge are going to be our technical evangelist for the development of our inspection technology and products.

 

At Elop we are developing product lines for sustainable infrastructure management using our own patented technology for ultrasound scanners and combine this with other sources to see holistic overview of the concrete structure. At Elop we will provide you with world-class colleagues highly motivated to position the company as an international standard of structural health monitoring. With the right character you will be professionally challenged and developed.

This position requires travel to Norway.

 

Elop is sister company of Simplifai and co-located together in all geographic locations.

https://elop.no/

https://www.simplifai.ai/en/

Roles and Responsibilities

• Define technical scope and objectives through research and participation in requirements gathering and definition of processes
• Ingest and Process data from data sources (Elop Scanner) in raw format into Big Data ecosystem
• Realtime data feed processing using Big Data ecosystem
• Design, review, implement and optimize data transformation processes in Big Data ecosystem
• Test and prototype new data integration/processing tools, techniques and methodologies
• Conversion of MATLAB code into Python/C/C++.
• Participate in overall test planning for the application integrations, functional areas and projects.
• Work with cross functional teams in an Agile/Scrum environment to ensure a quality product is delivered.

Desired Candidate Profile

• Bachelor's degree in Statistics, Computer or equivalent
• 7+ years of experience in Big Data ecosystem, especially Spark, Kafka, Hadoop, HBase.
• 7+ years of hands-on experience in Python/Scala is a must.
• Experience in architecting the big data application is needed.
• Excellent analytical and problem solving skills
• Strong understanding of data analytics and data visualization, and must be able to help development team with visualization of data.
• Experience with signal processing is plus.
• Experience in working on client server architecture is plus.
• Knowledge about database technologies like RDBMS, Graph DB, Document DB, Apache Cassandra, OpenTSDB
• Good communication skills, written and oral, in English

We can Offer

• An everyday life with exciting and challenging tasks with the development of socially beneficial solutions
• Be a part of companys research and Development team to create unique and innovative products
• Colleagues with world-class expertise, and an organization that has ambitions and is highly motivated to position the company as an international player in maintenance support and monitoring of critical infrastructure!
• Good working environment with skilled and committed colleagues an organization with short decision paths.
• Professional challenges and development

Responsibilities :

1. Create and maintain optimal data pipeline architecture
2. Assemble large, complex data sets that meet business requirements
3. Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
4. Work with Data, Analytics & Tech team to extract, arrange and analyze data
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
7. Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
8. Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
9. Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

Skill Requirements

1. SQL
2. Ruby or Python(Ruby preferred)
3. Apache-Hadoop based analytics
4. Data warehousing
5. Data architecture
6. Schema design
7. ML

Experience Requirement

1.  Prior experience of 2 to 5 years as a Data Engineer.
2. Ability in managing and communicating data warehouse plans to internal teams.
3. Experience designing, building, and maintaining data processing systems.
4. Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
5. Excellent analytic skills associated with working on unstructured datasets.
6. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

We at CarDekho are looking for a self-motivated technology leader in big data and data warehouse, search, and analytics technologies who have hands-on development experience in architecting scalable backend systems with a high volume of data.

Responsibilities: 

• Architect and design for our customers' data-driven applications and solutions and own back-end technology
• stack
• Develop architectures that are inherently secure, robust, scalable, modular, and API-centric
• Build distributed backend systems serving real-time analytics and machine learning features at scale
• Own the scalability, performance, and performance metrics of complex distributed systems.
• Apply architecture best practices that help increase execution velocity
• Collaborate with the key stakeholders, like business, product, and other technology teams
• Mentor junior members in the team

Requirement: 

• Excellent Academic Background (MS/B.Tech from a top tier university)
• 6-10 years of experience in backend architecture and development with large data volumes
• Extensive hands-on experience in the Big Data Ecosystem (like Hadoop, Spark, Presto, Hive), Database (like
• MySQL, PostgreSQL), NoSQL (like MongoDB, Cassandra), and Data Warehousing like Redshift
• Have deep expertise with search engines like Elastic Search and javascript environment like Node.js
• Experience in cloud-based technology solutions with scale and robustness
• Strong data management and migration experience including proficiency in data warehousing, data quality, and analysis.
• Experience in the development of microservices/REST APIs
• Experience with Agile and DevOps development methodology and tools like Jira, Confluence
• Understanding/exposure to complete product development cycle

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics