Senior Computer Vision Engineer

 

We are Numads

Drawn to the unknown, we are new age nomads who seek to bring near what is far. We work as full stack humans, able to operate independently while enjoying the journey together. We see past the sandlines of clan and craft and value the unique and special talents of each. We think, we design, we code, we write, we share, we care and we ride together. We aim to live by our values of Humility, Collaboration and Transformation

 

 

We undisrupt vehicle payments

To impact a highly fragmented v-commerce space, we aim to bring order to simplify & aggregate. We are a full stack v-commerce platform. We build the Network side of the products to achieve dense on-ground digital coverage by working with & aggregating different types of partners. Further help set the standards for scaling sustainably for the future. We also build the User side of the products to make road travel experience for our vehicle owners and drivers contactless and fully autonomous. 

 

How you'll make an impact

• Apply advanced predictive modeling and statistical techniques to design, build, maintain, and improve upon multiple real-time decision systems.
• Visualize and show complex data-sets via multidimensional visualization tools.
• Perform data cleansing, transformation & feature engineering.
• Design scalable automated data mining, modelling and validation processes.
• Produce scalable, reusable, efficient feature code to be implemented on clusters and standalone data servers.
• Contribute to the development/ deployment of machine learning algorithms, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Position: Data Scientist

Experience: 5+ Years

JD..SAP ABAP S4 HANA CONSULTANT

• Design thinking to really understand the business problem
• Understanding new ways to deliver (agile, DT)
• Being able to do a functional design across S/4HANA and SCP). An understanding of the possibilities around automation/RPA (which should include UIPath, Blueprism, Contextor) and how these can be identified and embedded in business processes
• Following on from this, the same is true for AI and ML: What is available in SAP standard, how can these be enhanced/developed further, how these technologies can be embedded in the business process. There is no point in understanding the standard process, or the AI and ML components, we will need a new type of hybrid SAP practitioner.

BRIEF DESCRIPTION:

At-least 1 year of Python, Spark, SQL, data engineering experience

Primary Skillset: PySpark, Scala/Python/Spark, Azure Synapse, S3, RedShift/Snowflake

Relevant Experience: Legacy ETL job Migration to AWS Glue / Python & Spark combination

 

ROLE SCOPE:

Reverse engineer the existing/legacy ETL jobs

Create the workflow diagrams and review the logic diagrams with Tech Leads

Write equivalent logic in Python & Spark

Unit test the Glue jobs and certify the data loads before passing to system testing

Follow the best practices, enable appropriate audit & control mechanism

Analytically skillful, identify the root causes quickly and efficiently debug issues

Take ownership of the deliverables and support the deployments

 

REQUIREMENTS:

Create data pipelines for data integration into Cloud stacks eg. Azure Synapse

Code data processing jobs in Azure Synapse Analytics, Python, and Spark

Experience in dealing with structured, semi-structured, and unstructured data in batch and real-time environments.

Should be able to process .json, .parquet and .avro files

 

PREFERRED BACKGROUND:

Tier1/2 candidates from IIT/NIT/IIITs

However, relevant experience, learning attitude takes precedence

GCP  Data Analyst profile must have below skills sets :

 

• Knowledge of programming languages like  SQL , Oracle, R, MATLAB, Java and  Python
• Data cleansing, data visualization, data wrangling
• Data modeling , data warehouse concepts
• Adapt to Big data platform like Hadoop, Spark for stream & batch processing
• GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)

Required Skills: GSM, Linux, Networking, infrastructure, VOIP, PHP, Perl, SIP, troubleshooting, Python,HTML

• 5+ years of solid experience as an Asterisk Developer
• Must be proficient at developing software using a scripting language. A distinct advantage if you have experience using Python
• Sound knowledge of Asterisk Installation, Configuration, Dialplan, Call troubleshooting (SIP, ISDN)
• Solid experience of working With Linux Operating Systems
• Good understanding of VoIP, SIP, SS7.

• Banking Domain
• Assist the team in building Machine learning/AI/Analytics models on open-source stack using Python and the Azure cloud stack.
• Be part of the internal data science team at fragma data - that provides data science consultation to large organizations such as Banks, e-commerce Cos, Social Media companies etc on their scalable AI/ML needs on the cloud and help build POCs, and develop Production ready solutions.
• Candidates will be provided with opportunities for training and professional certifications on the job in these areas - Azure Machine learning services, Microsoft Customer Insights, Spark, Chatbots, DataBricks, NoSQL databases etc.
• Assist the team in conducting AI demos, talks, and workshops occasionally to large audiences of senior stakeholders in the industry.
• Work on large enterprise scale projects end-to-end, involving domain specific projects across banking, finance, ecommerce, social media etc.
• Keen interest to learn new technologies and latest developments and apply them to projects assigned.

Data pre-processing, data transformation, data analysis, and feature engineering, 
The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment

Amazon has built a reputation for excellence with recent examples of being named #1 in customer service, #1 most trusted, and #2 most innovative. Amazon has a fast-paced environment where we - Work Hard, Have Fun, Make History.-

Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. As a member of the AWS Professional Services team you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications.

Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. You will collaborate with our customers and/or partners on key engagements and will develop and deliver proof-of-concept projects, technical workshops, feature comparisons, and execute migration projects.

You will be based in Hyderabad and might have to travel globally to ensure customer success.

Responsibilities :

- Employ customer facing skills to represent AWS well within the customer's environment and drive discussions with technical and business teams.

- As a key member of the team, ensure success in designing, building and migrating applications, software, and services on the AWS platform

- Participate in architectural discussions and design exercises to create large scale solutions built on AWS and also be part of the development lifecycle.

- Identity workarounds for specific issues and corner scenarios observed during migration

- Automate solutions for repeatable problems

- Develop test plan and testcases to demonstrate application/database readiness post migration

- Work closely with application teams to ensure business functionality and SLAs are met

- Consult for optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance

- Develop innovative solutions to complex business and technology problems

- Educate customers on the value proposition of AWS and AWS services

- Partner with the sales team to design solutions for customers that drive AWS adoption and revenue

- Conduct technical sessions for internal teams, partners and customers

BASIC QUALIFICATIONS :

- 12+ years of experience in a technical position.

- 4+ years on any Cloud Platform (AWS, Azure, Google etc).

- Bachelor's degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field.

- Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations.

- Strong programming skills in Java and/or Python.

- Strong hands-on experience in integrating multiple databases like Oracle, SQL Server, PostgreSQL etc.

- Deep hands-on experience in the design, development and deployment of business software at scale.

- Customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation

- Leading/Involved in highly-available and fault-tolerant enterprise and web-scale software applications.

- Experience in performance optimization techniques.

- High end Troubleshooting and Communication skills.

- Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required

PREFERRED QUALIFICATIONS :

- Implementing experience with primary AWS services (EC2, ELB, RDS, Lambda, API Gateway Route53 & S3).

- AWS Solutions Architect Certified

- Infrastructure automation through DevOps scripting (E.g. shell, Python, Ruby, Powershell, Perl)

- Configuration management using CloudFormation and/or Chef/Puppet

- Experience in database programming like PL/SQL etc.

- Demonstrated ability to think strategically about business, product, and technical challenges

- Integration of AWS cloud services with on-premise technologies from Microsoft, IBM, Oracle, HP, SAP etc.

- Experience with IT compliance and risk management requirements (eg. security, privacy, SOX, HIPAA etc.).

- Extended travel to customer locations may be required to sell and deliver professional services as needed



Amazon is an equal opportunity employer. Amazon or its Recruitment Partners do not charge any fee or security deposit from the candidate for offering employment.

Requirements:

Should have excellent problem solving and programming skills in Python/Java.
Strong interpersonal, communication and analytical skills
Should have the ability to express their design ideas and thoughts.
Should have the zeal and adaptability to learn new technology frameworks.
Should have passed out in 2020 or is passing out in 2020 and have consistently scored above 75% or CGPA of 8.