Student Counsellor

We are looking for a visionary and hands-on Head of Data Science and AI with at least 6 years of experience to lead our data strategy and analytics initiatives. In this pivotal role, you will take full ownership of the end-to-end technology stack, driving a data-analytics-driven business roadmap that delivers tangible ROI. You will not only guide high-level strategy but also remain hands-on in model design and deployment, ensuring our data capabilities directly empower executive decision-making.

If you are passionate about leveraging AI and Data to transform financial services, we invite you to lead our data transformation journey.

Key Responsibilities

Strategic Leadership & Roadmap

• End-to-End Tech Stack Ownership: Define, own, and evolve the complete data science and analytics technology stack to ensure scalability and performance.
• Business Roadmap & ROI: Develop and execute a data analytics-driven business roadmap, ensuring every initiative is aligned with organizational goals and delivers measurable Return on Investment (ROI).
• Executive Decision Support: Create and present high-impact executive decision packs, providing actionable insights that drive key business strategies.

Model Design & Deployment (Hands-on)

• Hands-on Development: Lead by example with hands-on involvement in AI modeling, machine learning model design, and algorithm development using Python.
• Deployment & Ops: Oversee and execute the deployment of models into production environments, ensuring reliability, scalability, and seamless integration with existing systems.
• Leverage expert-level knowledge of Google Cloud Agentic AI, Vertex AI and BigQuery to build advanced predictive models and data pipelines.
• Develop business dashboards for various sales channels and drive data driven decision making to improve sales and reduce costs. 

Governance & Quality

• Data Governance: Establish and enforce robust data governance frameworks, ensuring data accuracy, security, consistency, and compliance across the organization.
• Best Practices: Champion best practices in coding, testing, and documentation to build a world-class data engineering culture.

Collaboration & Innovation

• Work closely with Product, Engineering, and Business leadership to identify opportunities for AI/ML intervention.
• Stay ahead of industry trends in AI, Generative AI, and financial modeling to keep Bajaj Capital at the forefront of innovation.

Must-Have Skills & Experience

Experience:

• At least 7 years of industry experience in Data Science, Machine Learning, or a related field.
• Proven track record of applying AI and leading data science teams or initiatives that resulted in significant business impact.

Technical Proficiency:

• Core Languages: Proficiency in Python is mandatory, with strong capabilities in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Cloud Data Stack: Expert-level command of Google Cloud Platform (GCP), specifically Agentic AI, Vertex AI and BigQuery.
• AI & Analytics Stack: Deep understanding of the modern AI and Data Analytics stack, including data warehousing, ETL/ELT pipelines, and MLOps.
• Visualization: PowerBI in combination with custom web/mobile applications.

Leadership & Soft Skills:

• Ability to translate complex technical concepts into clear business value for stakeholders.
• Strong ownership mindset with the ability to manage end-to-end project lifecycles.
• Experience in creating governance structures and executive-level reporting.

Good-to-Have / Plus

• Domain Expertise: Prior experience in the BFSI domain (Wealth Management, Insurance, Mutual Funds, or Fintech).
• Certifications: Google Professional Data Engineer or Google Professional Machine Learning Engineer certifications.
• Advanced AI: Experience with Generative AI (LLMs), RAG architectures, and real-time analytics.

Senior Machine Learning Engineer

📍 Location: Remote

💼 Type: Full-Time

💰 Salary: $800 - $1,000 USD / month

Apply at: https://forms.gle/Fwti67UeTEkx2Kkn6

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 hiring a Senior Machine Learning Engineer with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment.

Key Responsibilities

📌 Design and Deliver Core Detection Pipeline

Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies.

📌 Model Strategy, Development, and Optimization

Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment.

📌 Latency-Conscious Production Readiness

Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments.

📌 Evaluation Framework and Continuous Testing

Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions.

📌 Deployment Engineering and API Integration

Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments.

Required Skills & Qualifications

🎯 Technical Skills:

ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript

Audio Libraries: Librosa, Torchaudio, FFmpeg

Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet

Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation

Optimization: Quantization, pruning, GPU acceleration

DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC

🎯 Preferred Experience:

Prior work on audio deepfake detection or telephony speech processing

Experience with real-time ML model deployment

Understanding of adversarial robustness and domain adaptation

Familiarity with call center environments or telecom-grade constraints

Compensation & Career Path:

Competitive pay based on experience and capability. ($800 - $1,000 USD / month)

Full-time with potential for conversion to a core team role.

Opportunity to lead future research and production deployments as part of our AI division.

Why Join Momenta?

Solve a global security crisis with cutting-edge AI.

Own a deliverable that will ship into production at scale.

Join a fast-growing team with seasoned founders and engineers.

Fully remote, high-autonomy environment focused on deep work.

🚀 Apply now and help shape the future of voice security

Immediately hiring Senior .Net Developer with MNC Experience

We at TechUnity Inc are looking for a .Net developer to build software using languages and technologies of the .NET framework. Your goal will be to work with internal teams to design, develop and maintain software.

Responsibilities

• Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support

Requirements and skills

• Proven experience as a .NET Developer with MVC knowledge
• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC))   Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic . NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Excellent troubleshooting and communication skills
• Attention to detail
• BSc/BEin Computer Science, Engineering or a related field
• The candidate should be from the Coimbatore location
• The candidate must have a two-wheeler
• Willing to work US timings ie 02:00 PM to 11:00 PM IST

ENGINEER / SR ENGINEER– JAVA/ JEE TECHNOLOGIES

 PUNE

EXPERIENCE –  4+ YEARS (4-12 YEARS) EXPERIENCE IN JAVA/ JEE TECHNOLOGIES.

TECHNOLOGY/SKILLS – JAVA1.9, SPRING BOOT, WEB SERVICES, ORACLE, HTTP PROTOCOL, WEB PROXY, JUNIT, XML, JSON

QUALIFICATION – B.E, BTECH, BSC, BCA, BCS OR EQUIVALENT POST-GRADUATION IN ANY BRANCH PREFERABLY IN E&TC, COMPUTERS

OTHER TOOLS USED – ECLIPSE, JIRA, CONFLUENCE, MAVEN, JENKINS, GIT/ BITBUCKET (SOURCE VERSION CONTROL).

SOFT SKILLS – SELF-MOTIVATED, FOCUSED, GOOD TEAM PLAYER, POSITIVE ATTITUDE, GOOD COMMUNICATION SKILLS – WRITTEN AND VERBAL WITH PRODUCT MANAGEMENT, INTERNAL IT AND STAKEHOLDERS.

NICE TO HAVE – KNOWLEDGE OF CRYPTOLOGY, HSM AND KEY MANAGEMENT / PKI / X509, XML SIG /SML ENC, SMART CARD OPERATING SYSTEM, TELECOMMUNICATION (GSM) AND ELECTRONIC PAYMENT SYSTEM, PROVEN KNOWLEDGE TO WORK IN PROCESSES ACCORDING TO CMMI (LEVEL 3).

DETAILS – GOOD TO HAVE ATTRIBUTES:

• KNOWLEDGE OF SOFTWARE ARCHITECTURE, UNDERSTANDING AND PREPARING SEQUENCE DIAGRAMS, ARCHITECTURE, AND PROCESS DOCUMENTATION.
• EXPERIENCE IN ENTERPRISE APPLICATIONS IN THE PAYMENT / BANKING DOMAIN PREFERRED.
• ANALYSIS, DESIGN AND IMPLEMENTATION OF SMART CARD APPLICATIONS FOR THE PAYMENTS SECTOR (MASTERCARD, VISA.)
• TELECOM/ EMBEDDED SYSTEMS OR SMART CARDS BACKGROUND.
• IDENTIFY AREAS FOR IMPROVEMENT TO ACHIEVE - OPERATIONAL EFFICIENCY, CUSTOMER SATISFACTION, AND VALUE ADDITION.
• PREFERABLY NO TRAVEL CONSTRAINTS.
• HIGH / LOW-LEVEL DESIGNING.

Key Responsibilities

1. Experience in Development using Adobe AEM, Android, Cordova, CRX, Java, Html, JavaScript. Also working knowledge of the Mobil app development.

1. Built websites and applications using Adobe Experience Manager
2. Experienced working knowledge of the Experience Server (CRX), including the Content Explorer, Design and build components, templates, dialogs, and workflows using the AEM architecture.

1. Experience in developing applications, templates, and components for the Adobe AEM product.

1. Excellent working knowledge of the Android Mobile app development using java.
2. Excellent working knowledge of the hybrid mobile app development for android and iOS platform (Cordova).

1. Should have knowledge of development of curated content, websites, landing pages and managing digital assets.
2. Desired Profile:

1. 3+ years of AEM / CQ platform experience in developing Components, Templates, Widgets, OSGi framework (Bundles/Services, tag libraries), JCR, Apache Sling, Adobe Cloud Service Integrations, External Integrations (with DB, Web services and other WCMs & DMS), Workflows, Socialization Framework, Packages.

1. Previous experience as a WCM technical lead or as an AEM architect in delivering 2-3 complex Adobe Experience Management (AEM) projects Should have exposure to UI Development and familiar with the full stack development technologies (Java Script, Angular, Node JS)

1. Certification will be plus

You will work with our team and end clients to ensure that the customer requirements are implemented on-time and on-budget. You will coordinate with the rest of the CRM-solutions team to handle sales engineering, support, and technology transformation initiatives.

Requirements