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Job Description

Responsibilities:

- Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.

- Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.

- Design and develop machine learning models, algorithms, and data pipelines.

- Collect, preprocess, and clean large datasets to ensure data quality and reliability.

- Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.

- Implement and deploy AI/ML models into production environments.

- Monitor model performance and propose enhancements or updates as needed.

- Collaborate with software engineers to integrate AI/ML capabilities into existing software systems.

- Perform data analysis and visualization to derive actionable insights.

- Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.

Strong experience in Apache pyspark is must

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Proven experience of 3-5 years as an AI/ML Engineer or a similar role.

- Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.

- Proficiency in programming languages such as Python, Java, or C++.

- Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.

- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and their AI/ML services.

- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

- Experience in deploying and scaling machine learning models in production environments.

- Strong problem-solving skills and ability to work on multiple projects simultaneously.

- Excellent communication and teamwork skills.

Preferred Skills:

- Experience with natural language processing (NLP) techniques and tools.

- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.

- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.

- Understanding of DevOps practices for AI/ML model deployment

-Apache ,Pyspark

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

Prelude

Required Skills

• 2+ years of RELEVANT EXPERIENCE in ReactJS
• Strong Computer Science fundamentals - data structures and algorithms
• Strong understanding of ReactJS Ecosystem (State management, Component-based design, Hooks, Responsive design)
• Good with CSS (converting UI designs to code)
• Writing clean and maintainable code
• Proficient understanding of APIs and wiring them   
• Strong testing, debugging, and problem-solving skills
• Familiar with modern development practices - writing clean code, git versioning, understanding development workflows

Essential Duties and Responsibilities

Include the following, other duties that may be assigned:

Lead the Requirement Discovery Calls.

Defining the Vision

Managing & Scoping the Product Backlog

Providing solutions to solving the Assortment, Availability, Merchandizing, and Supply Chain Problems in Retail Space

Working on various metrics for Retail Industry KPIs and assessing the performance of a retail business

Work with Data Engineers on giving in-depth knowledge of the Business Requirements.

Understanding the business purpose of the story and defining and analyzing possible alternative ways of satisfying the business purpose of the story

Estimation of Level of Efforts(LOE) and Deployment Timelines.

Accountable for ensuring advanced analytics and data science outcomes are continually improved such that product and service offerings stay aligned with changing business needs and strategic objectives

Performing line management of product teams operating within an AGILE methodology

Collaborating closely with Business Owners and users to define product roadmaps, epics, features and user stories

Working with team members to take shared responsibility for the overall efforts that the team has committed to

Taking responsibility for the quality data solutions that developers produce

Interacting with Stake holders (Internal & External) as necessary to clarify requirements and agree on priorities

Review project team solution designs to ensure technical alignment & consistency against predefined target architecture and established standards

Work in partnership with third party suppliers to formulate and execute delivery of customer-focused Product & Services

Assist in developing standards for data ingestion, data access layers, application and integration of selected SaaS platforms and Data Science solutions as key components of the overall solution architecture

First Level of the Analysis of the Data Issues.

Understand End-End Flow of the application technically and functionally to enable oneself to be an eventual Product Owner.

Build and maintain architecture, design, and metadata documentation

Desired Qualifications:

Bachelor’s or Master’s in Data or Computer Science or equivalent technical field

Experience in retail industry is must

Lead the Requirement Discovery Calls.

Defining the Vision

Managing & Scoping the Product Backlog

Experience in solving business problems i.e. Assortment, Availability, Merchandizing, and Supply Chain

Providing solutions to solving the Availability, Merchandizing, and Supply Chain Problems in Retail Space

Working on various metrics for Retail Industry KPI’s and assessing the performance of a retail business

8-10 years of Overall IT Experience.

>5 years of Retail Business experience. Experience in Cloud Technologies is a plus

>2 years’ experience managing stakeholder relationships including influencing & negotiating outcomes

Experience in writing SQL and Complex SQL Queries is a Big Plus

About Us:

Prolifics Corporation Limited is a Global Technology Solutions Provider with presence across North America (USA and Canada), Europe (UK and Germany), Middle East & Asia. In India, we have off shore development centres: 3 in Hyderabad & 1 in Pune.

For more than 40 years, Prolifics has transformed enterprises of all sizes including over 100 Fortune 1000 companies by solving their complex IT challenges. Our clients include Fortune 50 and Fortune 100 companies across a broad range of industries including Financial Services, Insurance, Government, Healthcare, Telecommunications, Manufacturing and Retail. We rank consistently in Dream Companies to Work For and Dream Employer of the Year ranking from World HRD Congress, ranked 7 in 2019.

We encourage you to visit us on www.prolifics.com or follow us on Twitter, LinkedIn, Facebook, YouTube and other social media to know more about us.

AD Skills: 

• Implementing Active Directory Infrastructure  
• Expertise on Windows Infrastructure components integration like DNS, DHCP etc. 
• Assess Domain Controllers, Domain Architecture, Centralized Migrations, GPO Designs, Windows DNS/DHCP Management and Forest Level Trust Architecture 
• Cloud Service integration with Active Directory including Amazon Web Services and Azure Active Directory Services 
• Multi Forest/Domain Active Directory and DNS migration 
• In depth knowledge of AD Site Topology, OU’s Structure, Group Policies, NTP, LDAP and implementation and AD components 
• Good knowledge on AD Security and identity principals 
• Strong integration experience of ADFS and integration with the on-prem Active Directory 

• Responsible for collecting all in-scope business requirements
• Able to prioritize requirements and negotiate on deployment timeframes on behalf of the development team
• Ability to perform detailed analysis to ensure all aspects of the business requirement are understood
• Able to formalize business requirements, ready for two way communication business communications up and technical communications down
• Capable of managing all non-technical aspects of the new requirements
• Capable of working with the test team to develop/ review test scripts and profile of test data
• Able to produce ad-hoc SQL queries/ ad-hoc reports that can be used to monitor success of the new requirement by ensuring data is being created as it should
• Must have worked on medium to large size custom application development projects and has exposure to all phases of the SDLC
• Experience in Insurance Domain is a must
• Proficient in using Microsoft Office tools
• Get actively involved in various project phases
• Act as a key interface between users and development teams
• Technology Graduate: B.Sc IT, MSc IT / B.Tech, M.Tech/ BCA, MCA