Digital Marketer

Android Full-Stack Engineer

📍 Location: Remote

💼 Type: Full-Time

💰 Salary: $800 - $1,000 USD / month

📩 Apply Now at: https://forms.gle/1XrseYnbCUsJDDuTA

About Us

At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.

Position Overview

We’re looking for an experienced Android Full-Stack Developer to help us bring our user-facing Android app to life. You’ll work closely with our design and engineering teams to build out our map-based UI and integrate key features that power voice scam detection and reporting.

Key Expectations

📌 End-to-End Android Client

• Take our existing codebase from prototype to production-grade
• Implement core features: secure login flows, background call listeners (VoIP/SIP), real-time UI feedback on fraud scores, and call history dashboards
• Optimize across devices for CPU, memory, battery, and low-latency audio processing
• Handle permissions, call audio capture, and background service behavior
• Launch and manage app distribution via Google Play

📌 Serverless Backend & API Development

• Design, build, and maintain AWS-based microservices using Lambda, API Gateway, DynamoDB, and S3
• Implement endpoints for audio streaming, ML model inference (via AWS SageMaker or custom endpoints), and event logging
• Define REST/WebSocket contracts and integrate with Twilio or SIP gateways for VoIP call control

📌 Performance, Security, and DevOps

• Ensure real-time responsiveness and scalable audio data processing
• Implement robust CI/CD pipelines using Git and Gradle
• Build secure auth flows using OAuth/token-based authentication
• Apply best practices in encryption, permissions, and Android security architecture

📌 Cross-Team Collaboration

• Work closely with our CTO and product team to align implementation with roadmap
• Provide clear technical insights, raise blockers, and proactively recommend solutions
• Document backend services and client workflows for maintainability

Required Skills & Qualifications

🎯 Android Expertise

• Kotlin & Java, Android Studio, Jetpack libraries (WorkManager, Room, LiveData)
• Material Design, custom views, background services, and VoIP call handling
• Experience launching Android apps on Google Play

🎯 Backend & DevOps Proficiency

• AWS Lambda, API Gateway, DynamoDB, S3
• Node.js, Python, or similar backend experience
• REST and WebSocket API development
• CI/CD pipelines, Git, Gradle, Serverless Framework

🎯 VoIP & Audio Experience

• Familiarity with SIP/WebRTC, call audio capture, Twilio integrations
• Experience with background audio services and event-driven processing

🎯 Security & API Design

• OAuth/token-based auth
• Secure mobile data handling and encryption in transit
• Android permission model and security best practices

🎯 Bonus

• Experience with AWS SageMaker or deploying custom ML endpoints
• Prior experience with real-time event processing or analytics in telecom or fraud detection

Why Join Momenta?

Work on a real product with a clear mission—protecting users from voice scamsShip a full-stack mobile experience that will be used globallyCollaborate directly with founders and see your work go liveRemote-first, builder-led team with deep focus on product delivery

🚀 Apply now and help shape the future of voice security

Data Engineer - Python

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Use Python web frameworks such as Dash or Streamlit to make latency data accessible to end users.
• Leverage OpenAI API to analyse and generate insights by using latency data and provide visualization interface to end users.
• Improve the Latency Data API to provide seamless access to latency data for end users, including researchers, support, and other teams within QRT.
• Optimize and fine-tune Large Language Models (LLMs) for use cases in natural language understanding, data processing, and predictive modelling. 

Your present skillset

• 4+ years' experience in a related field
• Advanced Python and OpenAI API proficiency.
• Good with LLM Concepts.
• Experience with large data sets, visualizations, and reports.
• High standards in code quality and development practices.
• Proficiency in managing structured/unstructured data.
• Expertise in scalable data systems.
• Strong AI/ML skills for pattern and anomaly detection.
• Experience with CI/CD processes and DevOps.
• Experience in the financial/trading sector.
• Familiarity with latency-sensitive systems and performance optimization

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Profile: Backen API developer

Should be well versed with API knowledge for social media scraping.

Full time remote job

We are seeking a passionate Growth Hacker Intern who thrives in a dynamic environment and loves to experiment with new strategies to drive user growth. As part of our growth team, you will have the opportunity to dive deep into the world of growth hacking, from content creation to conducting market research, and learn hands-on skills that will shape your career.

Key Responsibilities:

1. Content Creation: Assist in writing compelling and SEO-optimized content across platforms to drive user engagement.
2. Webinar Management: Plan, organize, and host webinars to engage with the community and deliver valuable insights.
3. Video Editing: Help edit and create engaging video content for social media and marketing campaigns.
4. Market Research: Conduct in-depth market research to identify growth opportunities and trends.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders