Machine Learning Expert

Job Title : Principal Backend Engineer (AI-Driven)

Experience : 10+ Years

Location : Chandigarh

Tech Stack : PHP, Node.js, Laravel, MySQL, MongoDB

Additional Requirement : Hands-on experience with AI technologies, APIs, or ML integrations

Role Overview :

We're looking for a Principal Backend Engineer (AI-Driven) to design and lead scalable backend systems while driving AI adoption across products.

The role involves integrating AI-powered features, architecting intelligent systems, and mentoring engineering teams on modern backend and AI implementation.

Key Responsibilities :

• Design and lead backend architecture using PHP (Laravel/CodeIgniter) and Node.js
• Build scalable microservices / modular backend systems
• Develop APIs and backend workflows for AI-driven features
• Integrate AI APIs (OpenAI, LangChain or similar frameworks)
• Work with LLMs, embeddings, vector databases, and AI pipelines
• Ensure performance, scalability, and security of backend systems
• Mentor engineering teams and drive backend + AI best practices

Requirements :

• 10+ years of backend development experience
• Strong expertise in PHP / Node.js, MySQL, MongoDB
• Hands-on experience integrating AI/ML APIs or AI-powered features
• Strong system design and architecture skills
• Experience leading engineering teams

Good to Have :

• Prompt engineering or AI cost optimization
• Exposure to MLOps / ML pipelines

AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
• Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
• Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
• Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
• Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

• Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
• Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
• Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
• Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
• Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

About Blitzy

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Location: Pune, India (in-person role, HQ2)

The Role

We're looking for a Forward Deployed Engineer to join our Pune HQ2 team, thriving at the intersection of cutting-edge AI technology and real-world enterprise software challenges. You'll embed directly with customer engineering teams, helping them revolutionize their software development with Blitzy.

This isn't a typical solutions engineer role. You'll write production code, architect solutions, and work shoulder-to-shoulder with customer engineering teams to deliver transformative outcomes. You're equally comfortable debugging a complex integration, participating in sprint planning, or whiteboarding architecture with a CTO.

This role centers on our Java/Spring Boot enterprise stack — from core REST services and event-driven microservices to production operations — and requires close collaboration with our US-based engineering and customer teams, including time zone overlap for handoffs.

What Success Looks Like

• You deploy Blitzy into complex enterprise environments, navigating technical constraints while delivering immediate value
• You write custom integrations and extensions — built on Java 17 and Spring Boot 3.x — that unlock new use cases for customers
• You translate ambitious business goals into concrete technical implementations using Blitzy's AI capabilities
• You identify patterns across customer needs that influence our product roadmap
• You become a trusted technical advisor to engineering leaders, earning their confidence through hands-on expertise
• You drive successful POCs that expand into enterprise-wide deployments
• You contribute code and insights back to our core platform based on field experience

Areas of Ownership

Customer Partnership

• Embed with customer teams during critical implementations, serving as their technical co-pilot
• Participate in customer sprint planning, architecture reviews, and technical decision-making
• Build custom solutions that demonstrate Blitzy's capabilities in their specific environment

Technical Implementation

• Write production-quality Java 17 / Spring Boot 3.x services (Spring MVC, Spring Data JPA, Spring Security, Actuator) to integrate Blitzy with existing enterprise systems
• Build and evolve REST APIs using a contract-first approach with OpenAPI/Swagger
• Own data persistence with PostgreSQL, Hibernate/JPA, and Liquibase-managed database migrations
• Package and deploy containerized services with Docker, managing dependencies through Maven (BOM and multi-module projects)
• Develop reusable patterns, scripts, and tools that accelerate customer adoption
• Debug complex issues spanning customer infrastructure and our platform
• Create technical demos that showcase advanced use cases

Quality & Production Operations

• Write thorough test coverage using JUnit 5, Cucumber/Gherkin, and JMeter for performance validation
• Maintain code quality and observability with Git, Logback/SLF4J, SpotBugs, and SonarQube
• Support microservice architectures and production operations, including health checks, metrics, and configuration management

Strategic Impact

• Decompose executive vision into actionable engineering roadmaps
• Identify expansion opportunities within accounts based on technical insights
• Collaborate with our product team to prioritize features based on field experience
• Contribute to our technical documentation and best practices

Required Experience

• 4–10 years of software engineering experience with a track record of shipping production code
• Strong hands-on experience with Java 17 (must-have)
• Spring Boot 3.x expertise, including Spring MVC, Spring Data JPA, Spring Security, and Actuator
• PostgreSQL and Hibernate/JPA for data persistence
• Maven for dependency management (BOM and multi-module projects)
• Liquibase for database migrations
• REST API development using a contract-first/OpenAPI approach with Swagger
• Docker for containerized services
• Testing and performance tooling: JUnit 5, Cucumber/Gherkin, and JMeter
• Git, Logback/SLF4J, and static analysis tools such as SpotBugs and SonarQube
• Familiarity with microservice architectures and Spring Boot production operations (health checks, metrics, configuration)
• Deep understanding of modern software development practices (CI/CD, microservices, cloud architecture)
• Experience with enterprise development workflows, including Agile/Scrum methodologies
• Strong communication skills, with time zone overlap to support handoffs with our US-based teams—you can explain technical concepts to anyone from intern to CTO
• Must be based in or willing to work in-person from Pune, India

What Makes You Stand Out

• Jakarta EE experience, particularly Spring Boot 3 migrations
• Caching experience using Spring Cache
• Familiarity with Apache HttpClient 5
• Enterprise modernization experience: Java 8 → Java 17 upgrades and monolith → microservices migrations
• Exposure to event-driven architecture, including Spring Kafka, Apache Kafka consumers, dead-letter topics (DLT), and retry patterns
• Experience with Confluent Schema Registry and Apache Avro, including schema evolution and contract-first integrations
• Familiarity with Spring RestClient, Testcontainers, WireMock, and JaCoCo
• Observability experience with Micrometer and Dynatrace
• Exposure to Saga orchestration, resilience/retry patterns, Kubernetes, or the WSO2 API Gateway
• Experience at high-growth startups or in customer-facing engineering roles
• Background in AI/ML, developer tools, or enterprise modernization projects
• Track record of technical thought leadership (blogs, talks, open source contributions)
• Passion for the future of AI-powered software development

What Makes This Role Different

• Production Code, Real Stakes: Unlike traditional FDE roles that focus on configuration and support, you'll be writing production Java/Spring Boot code that directly impacts customer success and enterprise deals you can see the outcome of.
• Frontier AI Work: You'll shape AI adoption at the frontier of what's possible with generative AI—working with a platform that generates complete applications, not just code snippets.
• Influence the Roadmap: You'll influence product direction through direct field experience, feeding real customer insight back into our roadmap.
• Onsite Opportunities: High performers are eligible for company-sponsored trips to our Cambridge, MA headquarters based on business needs, with potential international transfer support for top talent.
• Full Employment Package: This is a full-time role directly with our Private Limited Company in Pune. Benefits include medical insurance, participation in the company stock option program, Employer Provident Fund contributions with gratuity after 5 years, technology allowance, meal provision, and a beautiful office environment.
• Clear Growth Path: Flexibility to transition into core product or platform engineering as Blitzy scales.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.

We believe in being 'everyday athletes'—taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

Azure Chatbot Developer

Location :Bangalore / Mumbai / Pune

Job Description

Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle

f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.

g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET

i) Knowledge of Python and NodeJS is a plus

j) Ability to design and optimize SQL Server 2008 stored procedures.

k) Experience with JQuery, CSS3, HTML5 or similar technologies.

l) Ability to adapt quickly to an existing, complex environment.

About the Role-

Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale.

Reason to Join-

An opportunity for innovators, problem solvers & learners.  Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package.

Requiremets and Responsibilities- (please read carefully before applying)

• The overall experience of 3-6 years in Java/Python Framework and Machine Learning.
• Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API.
• Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing.
• Experience in highly scalable tools like Kafka, Spark, Aerospike, etc.
• Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems.
• Design, implement, and deploy highly scalable and reliable systems.
• Troubleshoot Solr indexing process and querying engine.
• Bachelors or Masters in Computer Science from Tier 1 Institutions