Principal Engineer - Data Science

RESPONSIBILITIES:

 Requirement understanding and elicitation, analyze, data/workflows, contribute to product

project and Proof of concept (POC)

 Contribute to prepare design documents and effort estimations.

 Develop AI/ML Models using best in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and clearly documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

REQUIREMENTS:

Required Skills

 Overall experience of 4 to 7 Years working on AI/ML framework development

 Good programming knowledge in Python is must.

 Good Knowledge of R and SAS is desired.

 Good hands on and working knowledge SQL, Data Model, CRISP-DM.

 Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.

 Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,

Random Forest, Support Vector Machines and Natural Language Processing.

 Experience with NLP and deep neural networks using synthetic and artificial data.

 Involved in different phases of SDLC and have good working exposure on different SLDC’s like

Agile Methodologies.

Job description

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

Hiring - Python Developer Freelance Consultant (WFH-Remote)

Greetings from Deltacubes Technology!!

Skillset Required:

Python

Pyspark

AWS

Scala

Experience:

5+ years

Thanks

Bavithra

Responsibilities

1. Create data funnels to feed into models via web, structured and unstructured data
2. Maintain coding standards using  SDLC, Git, AWS deployments etc
3. Keep abreast of developments in the field
4. Deploy models in production and monitor them
5. Documentations of processes and logic
6. Take ownership of the solution from code to deployment and performance

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.

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

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.

Job Description - Data Engineer

About us
Propellor is aimed at bringing Marketing Analytics and other Business Workflows to the Cloud ecosystem. We work with International Clients to make their Analytics ambitions come true, by deploying the latest tech stack and data science and engineering methods, making their business data insightful and actionable. 

What is the role?
This team is responsible for building a Data Platform for many different units. This platform will be built on Cloud and therefore in this role, the individual will be organizing and orchestrating different data sources, and
giving recommendations on the services that fulfil goals based on the type of data

Qualifications:
• Experience with Python, SQL, Spark
• Knowledge/notions of JavaScript
• Knowledge of data processing, data modeling, and algorithms
• Strong in data, software, and system design patterns and architecture
• API building and maintaining
• Strong soft skills, communication
Nice to have:
• Experience with cloud: Google Cloud Platform, AWS, Azure
• Knowledge of Google Analytics 360 and/or GA4.
Key Responsibilities
• Work on the core backend and ensure it meets the performance benchmarks.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Key Responsibilities
• Design and develop platform based on microservices architecture.
• Work on the core backend and ensure it meets the performance benchmarks.
• Work on the front end with ReactJS.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

What are we looking for?
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.
• Education - BE/MCA or equivalent.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open-source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, DynamoDB.
• Good experience with Front-end technologies like ReactJS.
• Backend exposure – good knowledge of building API.
• Worked on serverless technologies.
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for the functional/technical track of a project.

Whom will you work with?
You will closely work with the engineering team and support the Product Team.

Hiring Process includes : 

a. Written Test on Python and SQL

b. 2 - 3 rounds of Interviews

Immediate Joiners will be preferred