AI ML Engineer

• Developing change management plans for projects and/or change initiatives.
• Evaluating the impact of planned organisational change.
• Identifying risks and developing risk mitigation tactics.
• Identifying and managing anticipated resistance to change.
• Leading change management work streams with a structured methodology / process.
• Supporting development of communications relevant to change initiatives.
• Providing coaching and training to employees at all levels.
• Defining success metrics and measuring performance against these.
• Providing reporting and other updates to management and project teams.

Designation - Product Manager

Experience - 4 to 6 Years

Work Location - Whitefield, Bengaluru

We’re hiring Product Managers to own product lines within our LOS platform end-to-end. You’ll work directly with credit union clients to gather requirements, write user stories, run sprints with your engineering pod, manage vendor integrations, and ship features used by real customers. You’ll also lead full client implementations — from discovery to go-live.

Beyond execution, you’ll help shape the platform roadmap by identifying patterns across clients and driving what should be configurable vs. custom to scale the product. This is a high-ownership, hands-on role — focused on real problem-solving, close collaboration with users and engineers, and making practical trade-offs to deliver impact.

A typical week looks like

• 2-3 client calls with US credit union stakeholders — CXOs, managers, underwriters,
• Act as the bridge between US team & India Engineering team
• Writing PRFAQs, stories and acceptance criteria for upcoming work
• Sprint ceremonies with your engineering pod — planning, grooming, retro
• Coordinating with 2-3 vendor integration teams — API specs, test data, certification
• Ensuring alignment across organisation for delivery for your product line & client implementation

What you'll ship in the first 6 months

• Own a product line end-to-end
• Own a client implementation from requirements through go-live
• Ship features that go live in production for real credit union users
• Manage 3-5 vendor integrations through to QA sign-off
• Run your pod's sprint cycle independently
• Contribute at least one platform-level improvement that benefits all clients

What we're looking for

• Biased for action, grounded in first principles — you ship fast, but you think before you build.
• AI-native — you use AI tools daily to multiply your output, not as a novelty. You write specs faster, research deeper, and make better decisions because AI is part of how you work.
• Comfortable working directly with clients (US business hours overlap required — expect 2-3 late evening calls per week)
• Writes clearly — PRFAQs, story documents, acceptance criteria
• Can own an engineering pod's backlog — sprint planning, grooming, prioritization
• Understands lending workflows — origination, decisioning, underwriting, funding
• Can navigate vendor integrations — read API docs, coordinate with external teams, unblock engineers
• Uses data and judgment to make scope calls fast — you won't have perfect information
• Takes feedback well and gives it directly

Qualifications

Required:

• 3-5 years total experience with at least 2 years in product management
• Lending, banking, or fintech domain experience
• Experience working with engineering teams in an agile environment
• Actively uses AI tools in daily PM work — research, writing, analysis, decision-making
• Familiar with Claude Code to leverage AI & work at 10x productivity
• BTech/BE. MBA preferred.

Preferred / Bonus:

• Familiar with Claude Code to leverage AI & work at 10x productivity
• US lending industry experience
• US indirect auto lending (dealer-lender workflows, RouteOne, DealerTrack)
• US home equity / HELOC product experience
• Credit union operations experience
• Experience with loan origination systems (any vendor)
• Familiarity with core banking integrations (Jack Henry, Fiserv, Corelation)
• Familiarity with credit bureau data (TransUnion, Equifax, Experian)
• Experience with decision engines or business rules platforms

1. FIELD JOBS
2. COMMUNICATION SKILL
3. PRODUCT KNOWLEDGE
4. FIELD JOBS
5. COMMUNICATION SKILL
6. PRODUCT KNOWLEDGE
7. FIELD JOBS
8. COMMUNICATION SKILL
9. PRODUCT KNOWLEDGE
10. FIELD JOBS
11. COMMUNICATION SKILL
12. PRODUCT KNOWLEDGE

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Preferred Qualifications:

• Experience building multimodal systems (text + image, etc.)
• Practical experience with agent frameworks for autonomous or goal-directed AI.
• Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

We are seeking a talented Senior DevOps Engineer to join our team. The ideal candidate will play a crucial role in enhancing our infrastructure and ensuring seamless deployment processes.

Responsibilities:

• Design, implement, and maintain automation scripts for build, deployment, and configuration management.
• Collaborate with software developers to optimize application performance.
• Manage cloud infrastructure and service.
• Implement best practices for security and compliance.
• Proficiency in NoSQL databases- Knowledge of server management and shell scripting.
• Experience in cloud computing environments.
• Familiarity with .NET framework is a plus.
• Migrate existing cloud infrastructure to Infrastructure as Code (IaC) via tools like Terraform.
• Build out and enhance scalable containerized infrastructure using Kubernetes (k8s) and EKS.
• Assist software engineers with migration of applications to leverage configuration management and configuration as code (CaC) using tools like Docker.
• Configure and optimize CI/CD pipelines to minimize lead time for changes, including pipelines for infrastructure changes.
• Ensure applications and infrastructure are properly instrumented via observability tooling to improve alerting, monitoring, and incident response.
• Recommend infrastructure improvements to ensure architectures are centred around customer needs, and improve overall cloud architecture goals around availability, scalability, reliability, security and costs, and metrics like MTTR, MTBF, etc.
• Automate existing manual workflows and implement controls around them in line with the company's security and compliance goals.

Requirements:

• 10+ years of experience in DevOps or SRE fields, with current experience supporting engineering teams implementing scalable cloud architectures using CaC, IaC, and Kubernetes.
• Strong proficiency w/ AWS (certification required), including expert-level knowledge of cloud networking and security best practices.
• Strong programming and/or scripting experience in languages like Python and bash, including extensive experience with source code management and deployment pipelines.
• Extensive experience leveraging observability tooling for logging, monitoring, alerting, incident management, and escalation.
• Exceptional debugging and troubleshooting ability.
• Familiarity with web application architecture concepts, such as databases, message queues, serverless
• Ability to work with Engineering teams to identify and resolve performance constraints.
• Experience managing cloud infrastructure for SaaS applications.
• Experience leading a major cloud migration (on-premise to cloud, poly-cloud, etc.) preferred.
• Experience enabling a continuous deployment capability in a previous role preferred.
• Demonstrated experience guiding and leading other DevOps, cloud, and software engineers, leveling up technical proficiency and overall cloud capabilities.

Benefits:

• Work Location: Remote
• 5 days working

You can apply directly through the link: https://zrec.in/U2vjo?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

Job Description :

You're going to be at the core of our development team. You'll mainly be coding in Node.js. You'll be doing a little bit of everything from writing backend code that communicates with other internal services, to working with APIs, to writing code that controls EC2 instances and so on.

Requirements :

• Strong understanding of object-oriented programming and functional programming  and design concepts like - dependency injection, abstract classes, interfaces, data, providers, factories, middlewares, interceptors, orm
• Strong understanding of database architecture and design principles MySQL, mongo-DB. Understanding of MongoDB’s aggregation framework is a bonus.
• Excellent knowledge of Node.js frameworks (NestJs preferred) and experience in integrating libraries, authentication, queues, jobs, logger services. Past experience in working on multi-tenant SAAS product is a bonus.
• Experience with AWS, Architecture Design, and Web development. 
• 1+ years of relevant experience
• Passionate about working in a startup and creating a great product
• Must be able to show us projects and or websites that you have created. Bonus points if you’ve created these projects/websites outside of your work (we love seeing proof of how much you love technology and coding).
• Must love to program, must be willing to learn, and must be creative. If you are the type of person who finds learning a new technology or language an exhilarating experience, this is the place for you.

Responsibilities : 

• Working alongside front end developers, designers, and other backend developers creating cutting edge applications
• Delivering programming solutions for a variety of challenging and exciting projects
• Testing applications to ensure they meet users' expectations
• Integrating third-party APIs
• Deliver outstanding projects within tight deadlines