Partnerships & Alliances Manager

Job Requirement – Looking for fresh MBA`s interested to work in technology company in the banking and financial services segment.

About Us – Gieom Business Solutions. www.gieom.com

Founded in 2012, Gieom is a leading provider of Generative

AI-powered RegTech solutions, focused on enhancing operational resilience for financial institutions. We provide software that streamlines the management of policies, simplifies digital identity verification, mitigates risks, and implements operational resilience frameworks. Over the years Gieom has worked with some marque clients like SBI, RBI, IDFC ( India) , Mashreq Bank, Department of Finance, Kuwait Finance House ( Middle East) , Mauritius Commercial Bank, Diamond Trust Bank, SIPEM ( Africa) , MUFG, FSCS, Synergy ( Europe, UK, Canada) . With a strong partner network across Europe, the Middle East, and Asia Pacific, Gieom serves over 100 customers globally and is certified for ISO 27001 and ISO 9001.

In 2024 Xcelerate Pte Ltd. A Singapore based GRC fund acquires a strategic equity stake in Gieom

Team – Currently with close to 100 FTE`s and approximately 50+ variable employees Gieom is expanding fast with offices in Bangalore, Dubai and Cochin with plan to add additional offices in new cities during the year. Currently we work on a hybrid model with employees operating from offices and online.

Role – Business Analyst

Skills and Qualities

• Good Oral and Written Communication
• Good Interpersonal and Coordination skills
• Should possess presentation skills
• Strong financial and operations domain fundamentals
• Extremely organised and methodical skills
• Aptitude for time management and learn fast
• Team player and ready to help others and go the extra mile

Responsibility

• Working in the area of Governance ,Risk & Compliance and Process Management
• Part of project teams , implementing client project involving global Banks and Financial Firms
• Liaison with various departments of the client and understanding the business requirement , mapping processes, documenting requirements, configuring systems , managing projects etc. 

• Quick learning of the products with ability to deliver presentation on product, requirement, solutioning etc.
• Working closely with Pre Sales Team, Product Teams and end clients to understand requirement, helping with POC and ensuring client satisfaction.
• Work alongside the Product teams to understand new features, use cases etc
• Should take initiative to carry out independent research around the industry, competitors etc and provide insights and display their learning by contributing to writing marketing contents like case study, blogs etc.

Ideal Candidate

• Fresher / Less than 2 years of relevant experience
• Excellent written and oral skill – (is a must , as need to liaison with global clients )
• Ready to carryout local and global travels for long duration – (as clients are spread out)
• Certifications / Qualification in finance or operations domain (will have weightage)
• Must have Strong fundamentals on Financial / Operations domain ( A must)
• Qualification bachelors/MBA/CA/MMS/Diploma – No constraint
• Ready to join immediate

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.

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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.

Data Engineer- Senior

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What are you going to do?

Design & Develop high performance and scalable solutions that meet the needs of our customers.

Closely work with the Product Management, Architects and cross functional teams.

Build and deploy large-scale systems in Java/Python.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.

Follow best practices that can be adopted in Bigdata stack.

Use your engineering experience and technical skills to drive the features and mentor the engineers.

What are we looking for ( Competencies) :

Bachelor’s degree in computer science, computer engineering, or related technical discipline.

Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.

Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.

Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.

Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.

Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.

Ability to work with distributed teams in a collaborative and productive manner.

Benefits:

Competitive Salary Packages and benefits.

Collaborative, lively and an upbeat work environment with young professionals.

Job Category: Development

Job Type: Full Time

Job Location: Bangalore

• Good knowledge of at least one language (C#, Java, Python, Go, PHP, Node.js)
• Have enough experience on application and infrastructure architectures
• Design and plan cloud solution architecture
• Design for security, network, and compliances
• Analyze and optimize technical and business processes
• Ensure solution and operational reliability
• Manage and provision cloud infrastructure
• Manage IaaS, PaaS, and SaaS solutions
• Design strategies around cloud governance, migration, Cloud operations and DevOps
• Design highly scalable, available, and reliable cloud applications
• Build and test applications
• Deploy applications on cloud
• Integration with cloud services

Certification:

• Architect level certificate of any cloud (AWS, GCP, Azure)

As a Area Manager, you will be responsible for facilitating hiring, induction, training and coaching of sales team and distributor.

• Continuously engaging/enhancing capability of the team through personal intervention
• Developing reporting mechanism for sales staff
• Managing regular review, system and processes with frontline sales staff and distributors
• Contributing towards achieving penetration and share objective
• Influencing distributors to carry stock and adhering to route plans that ensure implementation of trade and consumer promotional plan
• Ensuring adequate daily stock replenishment to meet weekly, monthly and quarterly targets through accurate forecasting
• Utilizing market intelligence to build quality retailers data base to launch focus sales drives
• Ensuring to achieve width and depth of distribution norms for company products through sales staff and distributors
• Overall value/volume target achievement in assigned territory

Desired Candidate Profile

• Excellent verbal and written communication skills
• Good coordination skills
• Prior experience in managing a team    

Job Description:

1. Strong Object Oriented designing and programming skills in Java
2. Solid understanding of the Android App Components lifecycle
3. Experience in Google Cloud APIs and Firebase APIs
4. Experience in Flutter
5. Experience in SQLite database
6. Knowledge of important libraries like RxJava, Retrofit, Okhttp
7. Knowledge of MVVM architecture, GPS location tracking
8. Knowledge of source code management tools like Git
9. Have published at least one app on Google play store
10. Experience in working with remote data via REST and JSON
11. Maintain quality and ensure responsiveness of applications.
12. Collaborate with the rest of the engineering team to design and launch new features.
13. Experience with Android SDK and multiple versions of Android.
14. Experience with Android framework, as well as offline storage, threading, and performance tuning.
15. Experience with Android UI principles and best practices.

Good to have skills:

1. Having experience in Kotlin, Dagger, Jetpack, Room database
2. Having experience in Flutter, React-Native.

• Driving and overseeing a team of Customer Service Associate's via outsourced partners to ensure they are providing an exceptional customer experience
• Mastermind creative ways to deliver an exceptional customer experience
• Developing and overseeing the implementation of customer service protocols
• Resolving complex customer problems or disputes in a professional manner
• Coaching and supporting team members to help them meet departmental goals
• Maintaining and documenting records of customer interactions for training purposes
• Preparing monthly and quarterly departmental reports to determine whether KPIs are being met and adopting methods for improvement wherever necessary

What you need to have:

• Graduation degree or equivalent would be mandatory, BE/BTech/Post Graduation degree would be desirable.
• 5+ years prior experience in customer-facing roles
• Proven experience in a leadership role is required
• Excellent communication skills and the ability to anticipate the needs of customers
• Must demonstrate strong analytical thinking skills
• Should possess strong problem-solving skills and the ability to make sound judgement calls 
• Superior organizational and time management skills 
• Innovative, creative thinking skills to ensure the organization is providing a cutting-edge customer experience
• Expertise in MS Excel, Word and PowerPoint 
• Customer Handling Experience in Fintech Setup Mandatory       

This role will work with some of our most important integrations between The company Product and financial institutions & Partners – making sure that API's are implemented and tested and data mapped in a standardized and quality-assured way.

Mandatory skill sets of the Candidate:

• Minimum 3 years of working experience in XSLT language (XSLT 1.0 + 2.0)
• Minimum 3 years of working experience in XML processing (XPath, XSD schema)
• Minimum 3 years of working experience in Java (v11) and Junit
• Excellent English communication skills (speaking, writing, and reading)
• Experience working in agile development processes
• Familiarity with code versioning tools Git, JIRA

Other Desired Skills and Experience

• More than 5 Years of experience with Payment Ecosystems
• More than 5 Years of experience in Integration to Banks, Payment Acquirers, PSP’s
• Upon having demonstrated results in this role – responsibility can expand into the product team for developing the core product