Senior Data Scientist

Job Location: Ahmedabad - WFO 

Job Description: 

We are looking for an E-commerce Specialist to join our team. You will manage our clients’ accounts on Amazon and solve any arising doubts or queries.

As an Ecommerce Specialist, you should have excellent multitasking skills to handle all of our clients’ accounts in a cohesive way. If you have a creative way of thinking and of presenting our clients’ brands through multiple online selling channels, we would like to make you part of our team. Ultimately, you should be able to ensure our clients' marketplace accounts are in order and that their business is running smoothly.

Responsibilities:

• Manage all marketplace accounts and listings.
• Resolve any errors/issues arising in the account.
• Able to create/manage cases and solve complex listing-level issues
• Create and manage the product listings across channels.
• Research keywords, competition, and optimize product listings organically.
• Prepare weekly and monthly sales and traffic reports.
• Collaborate with the Amazon Ads team to share data analytics.
• Collaborate with clients to address any queries arising from managing the marketplace account.
• Stay up-to-date with best practices

Skills And Qualifications 

• 2-3 years of hands-on experience in back-end development with Node.js. ● Knowledge of Node.js frameworks 
• Good understanding of server-side templating languages 
• Understanding of code versioning tools, such as Git ● Have worked in any of the cloud based platform AWS, GCP, Docker, Kubernetes. 

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

JD:

• Demonstrable hands-on experience working with Azure technologies.
• Extensive experience with Azure DevOps and pipelines.
• Experience working with Jira and Github.
• Experience of Infrastructure as Code using Terraform to model cloud infrastructure.
• Practical experience of engineering best practices with continuous improvement.

Required

• HashiCorp Certified: Terraform Associate
• Microsoft Certified: Azure Fundamentals

Desirable

Microsoft Certified: Azure Administrator Associate

Location- Remote

Job Type: Full time on contract

Requirements

Salary up to 60 LPA (depending upon your experience)

5+ years of solid experience with a wide range of web, backend, or mobile technologies.
● Mastery of Ruby on Rails in a cloud-based ecosystem
● Experience presenting technical solutions to peers and managers.
● A proven track record of designing scalable and maintainable technical solutions.
• Experience coordinating development efforts across multiple managing projects in
parallel.
● Experience working with off-shore/outsourced developers across different time zones.
● Experience with code review tools and practices to ensure best practices are followed
and code quality gates are achieved.
● Experience with creating documentation, unit tests, integration tests, security, and load
tests.
● Solid Understanding of GitOps principles.
Nice to have:
● Working knowledge of Docker, Kubernetes, Terraform, and GitLab CI/CD pipelines
● Comfortable with open source monitoring tools like Prometheus, Grafana, Loki
● Experience with AWS, GCP, Azure, and Digital Ocean

Looking to fill 100+ positions with an MNC client.

Location: Bangalore

Experience: 3-5 years

Need Immediate to 15 days joinees

Initial 6 months will be payroll under the MNC's vendor after which it will be permanent with them (C2H)

Skills:

• Java, Selenium, Strong communication skills
• Need candidates who can join in 15 days or less

• Work closely with completing projects
• Troubleshoot and fix any issues relating to PHP programs
• Ensure smooth operations of web processes and infrastructure
• Create scripts to facilitate client systems to meet performance and objectives
• Test and develop software for client applications
• Create documentation for software created
• Utilize source debuggers and write or modify client software
• Produce results effectively and within the deadlines set

• Proven experience as a PHP developer in a competitive environment
• Expert of Laravel
• Strong knowledge of PHP coding and web-based applications
• Good understanding of website integration and software creation
• Excellent verbal and written communication skills
• Able to follow clear instructions according to client demands
• Strong analytical and problem-solving skills
• Creative ability to produce effective solutions to client problems
• Good team player that is enthusiastic about delivering results
• Able to work seated in front of a computer screen for long hours at a time