11+ Foundry Jobs in Delhi, NCR and Gurgaon | Foundry Job openings in Delhi, NCR and Gurgaon

1. Sr. Data Engineer:

 Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python

Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred

Major accountabilities:

• Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
• Have good understanding on Foundry Platform landscape and it’s capabilities
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
• Designs data integrations and data quality framework.
• Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
• Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
• Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed

Desired Candidate Profile :

• Strong data engineering background
• Experience with Clinical Data Model is preferred
• Experience in
• SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
• Java and Groovy for our back-end applications and data integration tools
• Python for data processing and analysis
• Cloud infrastructure based on AWS EC2 and S3
• 7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
• 5+ years of Python and Pyspark development experience
• Strong troubleshooting and problem solving skills
• BTech or master's degree in computer science or a related technical field
• Experience designing, building, and maintaining big data pipelines systems
• Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
• Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
• Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
• Hand-on experience in AWS / Azure cloud platform and stack
• Strong in API based architecture and concept, able to do quick PoC using API integration and development
• Knowledge of machine learning and AI
• Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.

 Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision

• Mandatory - Hands on experience in Python and PySpark.

 

• Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).

 

• Worked on optimizing spark jobs that processes huge volumes of data.

 

• Hands on experience in version control tools like Git.

 

• Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc

 

• Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.

 

• Experience/knowledge of bash/shell scripting will be a plus.

 

• Experience in working with fixed width, delimited , multi record file formats etc.

 

• Hands on experience in tools like Jenkins to build, test and deploy the applications

 

• Awareness of Devops concepts and be able to work in an automated release pipeline environment.

 

• Excellent debugging skills.

Data Scientist

Requirements

● B.Tech/Masters in Mathematics, Statistics, Computer Science or another
quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,
Predictive modeling, Clustering, Deep Learning stack, NLP
● Working knowledge of Tensorflow/PyTorch

Optional Add-ons-

● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark
etc.
● Experience with databases: MongoDB

Oracle OAS Developer

 

 

Senior OAS/OAC (Oracle analytics) designer and developer having 3+ years of experience. Worked on new Oracle Analytics platform. Used latest features, custom plug ins and design new one using Java. Has good understanding about the various graphs data points and usage for appropriate financial data display. Worked on performance tuning and build complex data security requirements.

Qualifications

Bachelor university degree in Engineering/Computer Science.

Additional information

Have knowledge of Financial and HR dashboard

 

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• 4+ years of industrial experience in computer vision and/or deep learning
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

 

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

 

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.

In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that

• Has healthcare experience and is passionate about helping heal people,
• Loves working with data,
• Has an obsessive focus on data quality,
• Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
• Has strong data interrogation and analysis skills,
• Defaults to written communication and delivers clean documentation, and,
• Enjoys working with customers and problem solving for them.

A day in the life at Innovaccer:

• Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
• Measure and communicate impact to our customers.
• Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.

What You Need:

• 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
• Intermediate to advanced level SQL programming skills.
• Data Analytics and Visualization (using tools like PowerBI)
• The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
• Ability to work in a fast-paced and agile environment.
• Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.

What we offer:

• Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
• Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
• Health benefits: We cover health insurance for you and your loved ones.
• Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
• Pet-friendly office and open floor plan: No boring cubicles.

Job Responsibilities :  
As a Data Warehouse Engineer in our team, you should have a proven ability to deliver high-quality work on time and with minimal supervision.
Develops or modifies procedures to solve complex database design problems, including performance, scalability, security and integration issues for various clients (on-site and off-site).
Design, develop, test, and support the data warehouse solution.
Adapt best practices and industry standards, ensuring top quality deliverable''s and playing an integral role in cross-functional system integration.
Design and implement formal data warehouse testing strategies and plans including unit testing, functional testing, integration testing, performance testing, and validation testing.
Evaluate all existing hardware's and software's according to required standards and ability to configure the hardware clusters as per the scale of data.
Data integration using enterprise development tool-sets (e.g. ETL, MDM, Quality, CDC, Data Masking, Quality).
Maintain and develop all logical and physical data models for enterprise data warehouse (EDW).
Contributes to the long-term vision of the enterprise data warehouse (EDW) by delivering Agile solutions.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.  
Participate in data warehouse health monitoring and performance optimizations as well as quality documentation.

Job Requirements :  
2+ years experience working in software development & data warehouse development for enterprise analytics.
2+ years of working with Python with major experience in Red-shift as a must and exposure to other warehousing tools.
Deep expertise in data warehousing, dimensional modeling and the ability to bring best practices with regard to data management, ETL, API integrations, and data governance.
Experience working with data retrieval and manipulation tools for various data sources like Relational (MySQL, PostgreSQL, Oracle), Cloud-based storage.
Experience with analytic and reporting tools (Tableau, Power BI, SSRS, SSAS). Experience in AWS cloud stack (S3, Glue, Red-shift, Lake Formation).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business clients.
Knowledge of Logistics and/or Transportation Domain is a plus.
Ability to handle/ingest very huge data sets (both real-time data and batched data) in an efficient manner.

• Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies • Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints • Collect/Organize/Prepare/Manage data for the analysis and conduct quality checks • Use and implement basic and advanced statistical techniques like frequencies, cross-tabs, correlation, Regression, Decision Trees, Cluster Analysis, etc. to identify key actionable insights from the data • Develop complete sections of final client report in Power Point. Identify trends and evaluate insights in terms of logic and reasoning, and be able to succinctly present them in terms of an executive summary/taglines • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to analysts to ensure an error free output • Aid in decision making related to client management, and also be able to take client calls relatively independently • Support the project leads in managing small teams of 2-3 analysts, independently set targets and communicate to team members • Discuss queries/certain sections of deliverable report over client calls or video conferences Technical Skills: • Hands on experience of one or more statistical tools such as SAS, R and Python • Working knowledge or experience in using SQL Server (or other RDBMS tools) would be an advantage Work Experience: • 2-4 years of relevant experience in Marketing Analytics / MR. • Experience in managing, cleaning and analysis of large datasets using statistical packages like SAS, R, Python, etc. • Experience in data management using SQL queries on tools like Access/ SQL Server

We are building the AI core for a Legal Workflow solution. You will be expected to build and train models to extract relevant information from contracts and other legal documents. Required Skills/Experience: - Python - Basics of Deep Learning - Experience with one ML framework (like TensorFlow, Keras, Caffee) Preferred Skills/Expereince: - Exposure to ML concepts like LSTM, RNN and Conv Nets - Experience with NLP and Stanford POS tagger

Looking for a technically sound and excellent trainer on big data technologies. Get an opportunity to become popular in the industry and get visibility. Host regular sessions on Big data related technologies and get paid to learn.