AI/ML Engineer – DevOps & Cloud Automation

About the role

We are building AI systems that read, understand and act on real business documents, bank statements, financial reports, policy documents and forms and putting them into production where accuracy and cost both matters.

This is not a research role and it is not a prompt-writing role. You will own features end to end: pick and deploy open-source models, build the pipelines around them, measure whether they actually work on our documents, drive the cost per document down, and keep the whole thing running in production.

You will work closely with the engineering and product teams, and your work will be directly used by business users from day one.

What you will do

Deploy and evaluate open-source models

• Select, deploy and benchmark open-source LLMs and vision-language models for specific, narrow use cases not general chat.
• Build evaluation sets from real documents and define what "good" means numerically (field-level accuracy, extraction recall, hallucination rate) before shipping.
• Run structured comparisons between models and approaches, and write up the trade-offs so the team can make a decision.
• Apply quantization, batching and other optimizations to fit models into a sensible GPU budget.

Build and optimize AI orchestration

• Design multi-step pipelines that combine deterministic code, ML models and LLM calls and know when not to use an LLM.
• Optimize for latency, cost and reliability: caching, batching, request routing, fallback tiers, retries and graceful degradation.
• Instrument pipelines so failures are visible and traceable rather than silent.

Ship to production

• Package models and services with Docker, expose them behind clean APIs, and deploy them to our GPU and CPU infrastructure.
• Handle the unglamorous production concerns: cold starts, timeouts, concurrency limits, versioning, rollback and monitoring.
• Own on-call-style responsibility for the AI features you build, including cost tracking.

Must-have skills

Programming & engineering

• Strong Python: type hints, async/await, dataclasses/Pydantic, clean module design, testing.
• REST API development with FastAPI (or Flask/Django with a willingness to move to FastAPI).
• Git, code review discipline, and the ability to write code someone else can maintain.
• Comfortable in Linux and on the command line.

Machine learning fundamentals

• Working knowledge of PyTorch and the Hugging Face ecosystem (transformers, tokenizers, accelerate).
• Understanding of inference-time concepts: tokenization, context windows, batching, precision (FP16/BF16/INT8), memory footprint.
• Ability to read a model card and a paper well enough to judge whether a model fits a use case.

Document processing

• Hands-on experience with at least two of: pypdfium2, PyMuPDF, pdfplumber, pdfminer.six, Docling, Unstructured, Surya, DocTR, LayoutLM family.
• Practical OCR experience (Tesseract, PaddleOCR, or a cloud OCR) and an understanding of when OCR is the wrong tool.
• Experience extracting tables from PDFs and dealing with merged cells, multi-line rows, and inconsistent column layouts.

Strongly preferred

You will be a much stronger candidate with any of these. We do not expect all of them.

Model serving & optimization

• vLLM, TGI, Ollama, llama.cpp, or Triton Inference Server.
• Quantization formats and tooling: GGUF, AWQ, GPTQ, bitsandbytes, ONNX Runtime, INT8 export.
• Serverless GPU platforms: Modal, RunPod, Replicate, Baseten including cold-start and container-lifecycle management.
• LoRA / QLoRA fine-tuning with PEFT for narrow, task-specific improvements.

Vision-language models

• Practical use of open VLMs: Qwen2.5-VL, InternVL, Granite Vision, Molmo, Phi-Vision, or similar.
• Awareness of where VLMs hallucinate especially on numeric and financial content and patterns for constraining them (using the model for layout only, sourcing values from the text layer, constrained decoding).

Orchestration & pipelines

• Workflow orchestration: Dagster, Airflow, Prefect, or Temporal.
• Async job patterns: Celery, RQ, or platform-native spawn/poll patterns.
• LLM orchestration frameworks (LangGraph, LlamaIndex, Haystack) with the judgement to know when plain Python is a better answer.
• Structured output enforcement: Instructor, Outlines, XGrammar, JSON schema / tool-use modes.

Evaluation & observability

• Building golden datasets and regression suites for extraction tasks.
• Eval tooling: promptfoo, DeepEval, Ragas, or in-house harnesses.
• LLM tracing and monitoring: Langfuse, Arize Phoenix, LangSmith, OpenTelemetry.

Nice extras

• Rule engines and policy evaluation (Open Policy Agent / Rego, Drools, rule-engine).
• Experience in fintech, lending, insurance or accounting documents.
• Handling of PII and data-security practices in document pipelines.
• Contributions to open-source ML or document-processing projects.

Why join us

• Real production ownership from month one your work goes to actual users, not a demo.
• Genuinely hard technical problems in document AI, not wrappers over an API.
• Small team, short decision cycles, direct access to leadership.
• Budget and freedom to evaluate and adopt new open-source models as they land.

To apply: send your CV along with a short note on one AI system you have taken to production what it did, what the accuracy was, and what broke.

Role: Tele-Calling Executive

Experience: Freshers - 3 Years with good comm skills

Location: Noida

Key Responsibilities:

• Make outbound calls to prospective customers and handle inbound inquiries.
• Explain company products/services clearly and professionally.
• Understand customer requirements and qualify leads.
• Generate interested leads and schedule meetings/site visits for the sales team.
• Maintain accurate records of calls, leads, and follow-ups in CRM/Excel.
• Conduct timely follow-ups with potential customers.
• Track call outcomes and submit daily/weekly performance reports.
• Coordinate with sales and internal teams to ensure smooth customer handling.
• Build and maintain positive customer relationships.

Skills & Attributes:

• Minimum Qualification: Graduate (Mandatory).
• Good communication and interpersonal skills.
• Strong convincing and negotiation skills.
• Lead generation and lead qualification ability.
• Understanding of sales funnel and customer lifecycle.
• Ability to handle objections and nurture prospects.
• Strong follow-up and relationship-building skills.
• Basic computer knowledge (MS Excel, CRM tools preferred).
• Target-oriented mindset.
• Prior experience in tele calling, customer service, or lead handling preferred.

Work Location:

• Sector 90, Noida, Uttar Pradesh 201305

Key Responsibilities:

• Prepare control room layouts.
• Develop cable and junction box schedules.
• Create wiring and interconnection drawings.
• Perform 3D modeling using E3D, PDMS, or other relevant tools.
• Work on design software such as AutoCAD and MicroStation.
• Ensure accuracy and compliance with project specifications and industry standards.

Required Skills & Platforms:

• Software Proficiency: E3D, AutoCAD (Combination of E3D + AutoCAD is mandatory).
• Experience with PDMS, MicroStation, and E3D preferred.
• Strong understanding of oil & gas instrumentation design.

Responsibilities:

• Build user journeys and communication strategies for every funnel the user goes through in the app
• Build highly engaging campaigns across user funnels to increase conversion rates
• Drive repeat users, referrals through Email, Push Notifications and other product touchpoints
• Plan & run defined experiments - test open rates, CTR, messaging, conversion rates and renewals.
• Work with internal and external stakeholder to seamlessly drive all campaigns 
• Constantly look for funnel drop offs and optimise every step to increase conversion rates
• Share data on daily, weekly and monthly basis with the larger team

Requirement:

• 5+ years of hands-on experience in working with user engagement platforms like WebEngage
• Experience in building user funnels across app and web and proven record of successfully driving engagement and conversions
• Knowledge of HTML coding to create emailers is a must
• Experience working in a B2C product or Edtech is preferrable

We are looking for an RPA Developer to join our team.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Proven experience (4 years) as an RPA Developer.

Strong experience with RPA tool such as UiPath, Automation Anywhere, or Blue Prism.

Proficiency in programming languages such as C#, Python, Java, or VBScript.

Familiarity with process analysis, design, and improvement.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills to work effectively within cross-functional teams.

Knowledge of software development best practices and methodologies.

Good understanding of .Net technology stack and Excel Macros.

Experience in Design, Development, Test and Support in line with client needs and architectural requirements.

Hands-on experience in Automating Web interfaces, desktop application interfaces, Citrix interfaces, API, Building Custom codes and Mainframes.

Understanding client requirements and preparing required documents (PDD, SDD, BRD...)

Roles and Responsibilities

Collaborate with business analysts, process owners, and project managers to gather requirements and understand business processes for automation.

Design, develop, test, and deploy RPA solutions using industry-standard RPA tools such as UiPath, Automation Anywhere, or Blue Prism.

Analyze, optimize, and document existing business processes for automation feasibility and improvement opportunities.

Develop automation workflows, scripts, and routines that are efficient, reliable, and maintainable.

Implement error handling and exception handling mechanisms to ensure the robustness of automation solutions.

Collaborate with QA teams to ensure the quality of the developed automation solutions.

Provide technical support and troubleshooting for deployed automation solutions.

Responsibilities:

·       Analyze, design and support implementation of business specific Pega solutions and/or framework

·       Responsible for implementing technical solutions on Pega 8.x

·       Ability to create reusable components that can be leveraged across the enterprise for providing top-notch user experience

·       Ability to translate complex business requirement into functional technical requirements using Pega Systems Smart BPM methodology and DCO tools

·       Good hands on implementing PEGA integration services using REST, SOAP, Email etc. Good understanding of PEGA case management features

·       Design and implement product features in collaboration with business and IT stakeholders

·       Design reusable components, frameworks and libraries

·       Ability to interact with business analysts and business team members to refine requirements, Use Cases

·       Perform all phases of software engineering including requirements analysis, application design, code development and testing

·       Work very closely with architecture groups and drive solutions

·       Participate in an Agile / Scrum methodology to deliver high-quality software releases

·       Design and develop innovative solutions to meet the needs of the business

·       Review code and provide feedback relative to best practices and improving performance

·       Troubleshoot production support issues post-deployment and come up with solutions as required

·       Mentor and guide other software/Pega engineers within the team

·       Experience with troubleshooting Production log files and performance issues

·       Responsible for unit testing more complex individual and team deliverables based on established test plans

·       Responsible for ensuring an efficient integration of programming deliverables timely builds and overall code quality

·       Contributes to the delivery of new applications and to the maintenance and enhancement of existing applications with shared responsibility for the technical issues

Experience and Qualifications:

·       Bachelor’s Degree in computer science, or Information Systems or Engineering is required, else in lieu, a demonstrated equivalence in work experience is mandatory.

·       Pega Systems Certified Senior System Architect (CSSA)

·       5+ Years of Experience on Pega PRPC (8.x/7.x versions) and Frame worked Case Management

·       In-Depth knowledge of Pega Upgrades, Integration, Performance Management and all Pega relevant Tools

·       Ability to negotiate and allocate resources appropriately for development and implementation

·       Excellent written, communication and presentation skills