Data Scientist - Precily AI

JOB DESCRIPTION:

Location: mumbai, bangalore, pune

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Required Skills & Experience:

• 3– 8 years of strong hands-on experience in Core Java, Spring boot, microservices, data structures.
• Deep understanding of Object-Oriented Programming (OOP), data structures, algorithms, and design patterns.
• Proven experience with Spring, CXF, and REST/SOAP web services.
• Solid understanding of microservices architecture and distributed systems.
• Experience working with Sybase or other relational databases.
• Expertise in multithreading, concurrency, and high-throughput server-side development.
• Exposure to capital markets, sales & trading platforms, or similar financial services applications.
• Good working knowledge of Unix/Linux environments.
• Experience in solution architecture and design documentation is a strong plus.
• Strong problem-solving skills, analytical thinking, and a proactive attitude.
• Excellent communication and interpersonal skills to work effectively with global teams.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Previous experience in investment banking, capital markets, or financial technology domains.

For more details:

Website: www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

LinkedIn: Wissen Technology

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

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

Role: Data Scientist

Industry Type: Banking

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Join Our Growing Team!

Are you a proactive and driven individual with a passion for forging new business relationships and driving growth? We're seeking a Business Development Specialist to play a crucial role in expanding our market presence and driving revenue. If you're enthusiastic, results-oriented, and love connecting with clients, this could be the perfect opportunity for you!

No of Positions : 3

JOB RESPONSIBILITIES:

Prospecting: Identifying potential clients and new business opportunities to find prospects that fit the company's target customer profile.

Consultative Selling: Engaging with prospects in a consultative manner, understanding their needs, challenges, and goals. Then tailoring the sales pitch to demonstrate how the company's products or services can solve specific business problems.

Product Knowledge: Developing a deep understanding of the company's products or services, their features, benefits, and competitive advantages. The sales team must effectively communicate this information to potential clients.

Negotiation and Closing Deals: Negotiating terms, pricing, and contractual agreements with clients. The sales team works towards closing deals and getting contracts signed.

Sales Pipeline Management: Managing the sales pipeline, tracking leads and deals at various stages of the sales process. The team ensures the pipeline is healthy and sales targets are met.

Sales Reporting: Keeping track of sales metrics and performance and reporting on progress to sales management and relevant stakeholders.

Collaboration with Marketing and Customer Engagement Teams: Working closely with the marketing team to align sales strategies with marketing efforts. Additionally, collaborating with the customer engagement team to ensure a seamless customer experience.

PRE-REQUISITES:

Minimum 2-3 years of Sales Experience with B2B / SAAS Industry

Excellent Communication Skills (English & Hindi | 3rd Language will be an added advantage)

Ability to handle pressure and meet deadlines

Excellent time management

If interested kindly share your updated resume

Don't miss out on this exciting opportunity to drive growth and success at ICT Circles. Apply now and let's embark on this journey together!

#JoinTheTeam #BusinessDevelopmentExpert

List of responsibilities:

● ServiceNow Development work

● Interaction with customers for project deliverables

● Deadlines should be met

Job requirements:

● The candidate should be L2 and above.

● ServiceNow System Administration and Development Certified is mandatory

● ITSM, Service Portal, Integration 

● ITIL Foundation Certification would be a plus or can do before joining.

● Successfully plan, execute, monitor, control, and close all technical tasks related to configuration and implementation of all

aspects of the ServiceNow platform.

● Provide software coding and customization including, but not limited to: screen tailoring, workflow administration, report

setup, data imports, integration, scripting, third party software integrations, and custom application development

● Update and maintain a comprehensive testing protocol for ServiceNow instance upgrades with the purpose of certifying all

applications for use after the upgrade completes.

● Coordinate and solve complex technical data and transformation issues.

● Obtain and analyze/interpret business requirements to propose sustainable solutions in ServiceNow.

● Answer “how to” technical and application configuration questions.

● Develop, maintain, and execute reports to ensure system operation meets performance targets.

● Create and maintain system design and operations documentation.

● Complete other duties as assigned.

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

Technical Skills:

1. Must have skills:

• MVC, .Net C# 4.0, 4.5, .Net Core 3.1
• ASP .Net & ASP .Net Core
• Angular
• HTML, CSS, & JavaScript
• Database - SQL Server – 12/13/14/15