169 AI Specialists jobs in Qatar

Role & responsibilities

We are seeking a dynamic and highly motivated AI Business Development Manager who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.

The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.

Customer Engagement & Opportunity Discovery

• Meet with key stakeholders across industries to understand their business models, challenges, and pain points.
• Conduct detailed needs assessments to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.
• Act as a trusted advisor to CXOs, department heads, and technical decision-makers on AI adoption.

Use Case Ideation & Solutioning

• Co-create and develop AI-driven use cases tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).
• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.
• Translate business requirements into technical solution briefs, PoC proposals, and value propositions.

Business Development & Go-to-Market Execution

• Own and drive the AI sales funnel from lead generation to deal closure.
• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.
• Prepare compelling presentations and demos to articulate the power of AI solutions in solving business problems.

Market & Trend Intelligence

• Stay abreast of the latest AI/ML trends, emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.
• Continuously scout the market for innovative AI use cases and competitor activities.
• Provide strategic inputs for refining our AI portfolio, industry focus, and solution roadmap.

Qualifications

• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
• 5+ years of experience in business development, solution consulting, or customer-facing AI roles.
• Proven experience in identifying and converting AI/Data opportunities into revenue-generating projects.
• Strong understanding of AI technologies: Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling, etc.
• Excellent communication, storytelling, and presentation skills.
• Ability to engage both technical and non-technical stakeholders with equal ease.

Preferred Skills

• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere, Open Source AI frameworks and Data platforms like Cloudera, Snowflake etc.
• Knowledge of industry-specific AI applications in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.
• Prior experience in a consulting, IT services, or AI-focused organization is a strong plus.

We are seeking a dynamic and highly motivated AI Business Development Manager who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.

The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.

Key Responsibilities

Customer Engagement & Opportunity Discovery

• Meet with key stakeholders across industries to understand their business models, challenges, and pain points.

• Conduct detailed needs assessments to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.

• Act as a trusted advisor to CXOs, department heads, and technical decision-makers on AI adoption.

Use Case Ideation & Solutioning

• Co-create and develop AI-driven use cases tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).

• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.

• Translate business requirements into technical solution briefs, PoC proposals, and value propositions.

Business Development & Go-to-Market Execution

• Own and drive the AI sales funnel — from lead generation to deal closure.

• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.

• Prepare compelling presentations and demos to articulate the power of AI solutions in solving business problems.

Market & Trend Intelligence

• Stay abreast of the latest AI/ML trends, emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.

• Continuously scout the market for innovative AI use cases and competitor activities.

• Provide strategic inputs for refining our AI portfolio, industry focus, and solution roadmap.

Qualifications

• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.

• 5+ years of experience in business development, solution consulting, or customer-facing AI roles.

• Proven experience in identifying and converting AI/Data opportunities into revenue-generating projects.

• Strong understanding of AI technologies: Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling, etc.

• Excellent communication, storytelling, and presentation skills.

• Ability to engage both technical and non-technical stakeholders with equal ease.

Preferred Skills

• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere, Open Source AI frameworks and Data platforms like Cloudera, Snowflake etc.

• Knowledge of industry-specific AI applications in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.

• Prior experience in a consulting, IT services, or AI-focused organization is a strong plus.

Position Summary

We are seeking a dynamic and highly motivated
AI Business Development Manager
who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in
Artificial Intelligence (AI)
,
Machine Learning (ML)
, and
Data Science
.

The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.

Key Responsibilities

Customer Engagement & Opportunity Discovery

• Meet with key stakeholders across industries to
  understand their business models, challenges, and pain points
  .
• Conduct detailed
  needs assessments
  to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.
• Act as a
  trusted advisor
  to CXOs, department heads, and technical decision-makers on AI adoption.

Use Case Ideation & Solutioning

• Co-create and develop AI-driven use cases
  tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).
• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.
• Translate business requirements into
  technical solution briefs
  , PoC proposals, and value propositions.

Business Development & Go-to-Market Execution

• Own and drive the
  AI sales funnel
  — from lead generation to deal closure.
• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.
• Prepare compelling
  presentations and demos
  to articulate the power of AI solutions in solving business problems.

Market & Trend Intelligence

• Stay abreast of the
  latest AI/ML trends
  , emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.
• Continuously scout the market for innovative AI use cases and competitor activities.
• Provide strategic inputs for refining our
  AI portfolio, industry focus, and solution roadmap
  .

Qualifications

• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
• 5+ years of experience in
  business development
  ,
  solution consulting
  , or
  customer-facing AI roles
  .
• Proven experience in identifying and converting
  AI/Data opportunities into revenue-generating projects
  .
• Strong understanding of AI technologies:
  Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling
  , etc.
• Excellent communication, storytelling, and presentation skills.
• Ability to engage both
  technical and non-technical stakeholders
  with equal ease.

Preferred Skills

• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere,
  Open Source AI frameworks
  and Data platforms like Cloudera, Snowflake etc.
• Knowledge of
  industry-specific AI applications
  in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.
• Prior experience in a
  consulting, IT services, or AI-focused organization
  is a strong plus.

We are Qatar Insurance Company (QIC), the leading insurance provider in the GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses.

Our vision is to make QIC group the first Digital Ecosystem in the region by combining insurance and non-insurance services on a single platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere.

Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies.

We are looking for an experienced AI/ML Engineer to join our team and help design, build, and scale intelligent systems that power real business solutions. You will work across LLMs, Computer Vision, Speech AI, and AI Infrastructure, embedding advanced AI into core business processes and client-facing products.

• Build chatbots, RAG systems, and automated document processing pipelines involving LLM development.
• Implement OCR for insurance documents, damage assessment from photos, and identity verification using Computer Vision techniques.
• Develop transcription, voice analytics, and multilingual support solutions in Speech AI.
• Deploy and monitor AI models, and integrate them with cloud AI services as part of AI Infrastructure.
• Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences for products.

• At least 3 years of experience in AI/ML engineering with a focus on production systems.
• Strong Python skills (advanced) and experience with FastAPI/Flask for API development.
• Hands-on experience with LLM tools such as OpenAI API, LangChain, Hugging Face Transformers.
• Proficiency in deep learning frameworks like PyTorch or TensorFlow for fine-tuning models.
• Experience with Docker & Kubernetes for containerization and orchestration of AI applications.

Core AI/ML Competencies

• Prompt Engineering: designing effective prompts for LLMs.
• Fine-tuning: adapting pre-trained models to specific business tasks.
• Retrieval-Augmented Generation (RAG): working with vector databases and embeddings.
• Computer Vision Pipelines: from preprocessing to inference.
• Multimodal AI: building solutions that combine text and images.

• Long-term service agreement with QIC.
• A diverse remote team working from 25 different countries.
• Monthly salary paid in US dollars via SWIFT bank transfer.
• Full-time remote work, Sunday to Thursday, 5 days per week.
• Vacation policy aligned with Qatar holidays, including 20 workdays of vacation and 10 sick days.
• Biannual performance reviews with potential raises in March and September.
• Potential opportunity for Qatar ID and relocation to Doha, Qatar.

Quality healthcare with up to $1,500 dental coverage, regardless of your location.

• Language classes to improve communication skills in English, Arabic, or other languages.
• Mental health support services, including Yasno, with 70% coverage, plus 3 mental health days annually.
• Guidance on local and international tax regulations.
• $600/year support for further courses and internal workshops.
• Join our QIC running club for motivation, coaching, and marathon support.
• Salary payouts in USD, EUR, or AED, based on your preference.
• Extra paid leave, including vacation days, sick leave, and bonus days for longevity.

We are open to adopting new stacks and technologies to build market-leading solutions.

We are Qatar Insurance Company (QIC), the leading insurance provider in the GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses.

Our vision is to make QIC group the first Digital Ecosystem in the region by combining insurance and non-insurance services on a single platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere.

Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies.

We are looking for an experienced AI/ML Engineer to join our team and help design, build, and scale intelligent systems that power real business solutions. You will work across LLMs, Computer Vision, Speech AI, and AI Infrastructure, embedding advanced AI into core business processes and client-facing products.

• Build chatbots, RAG systems, and automated document processing pipelines involving LLM development.
• Implement OCR for insurance documents, damage assessment from photos, and identity verification using Computer Vision techniques.
• Develop transcription, voice analytics, and multilingual support solutions in Speech AI.
• Deploy and monitor AI models, and integrate them with cloud AI services as part of AI Infrastructure.
• Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences for products.

• At least 3 years of experience in AI/ML engineering with a focus on production systems.
• Strong Python skills (advanced) and experience with FastAPI/Flask for API development.
• Hands-on experience with LLM tools such as OpenAI API, LangChain, Hugging Face Transformers.
• Proficiency in deep learning frameworks like PyTorch or TensorFlow for fine-tuning models.
• Experience with Docker & Kubernetes for containerization and orchestration of AI applications.

Core AI/ML Competencies

• Prompt Engineering: designing effective prompts for LLMs.
• Fine-tuning: adapting pre-trained models to specific business tasks.
• Retrieval-Augmented Generation (RAG): working with vector databases and embeddings.
• Computer Vision Pipelines: from preprocessing to inference.
• Multimodal AI: building solutions that combine text and images.

• Long-term service agreement with QIC.
• A diverse remote team working from 25 different countries.
• Monthly salary paid in US dollars via SWIFT bank transfer.
• Full-time remote work, Sunday to Thursday, 5 days per week.
• Vacation policy aligned with Qatar holidays, including 20 workdays of vacation and 10 sick days.
• Biannual performance reviews with potential raises in March and September.
• Potential opportunity for Qatar ID and relocation to Doha, Qatar.

Quality healthcare with up to $1,500 dental coverage, regardless of your location.

• Language classes to improve communication skills in English, Arabic, or other languages.
• Mental health support services, including Yasno, with 70% coverage, plus 3 mental health days annually.
• Guidance on local and international tax regulations.
• $600/year support for further courses and internal workshops.
• Join our QIC running club for motivation, coaching, and marathon support.
• Salary payouts in USD, EUR, or AED, based on your preference.
• Extra paid leave, including vacation days, sick leave, and bonus days for longevity.

We are open to adopting new stacks and technologies to build market-leading solutions.

Date: Jul 28, 2025

Location:

Doha, QA

Company: Information and Communication Technology W.L.L

Req ID: 2001

Job Title
Engineer - AI

Job Scope
The Engineer - AI will design and build AI-powered applications using large language models and advanced machine learning techniques. S/he will develop intelligent workflows, integrate APIs, and optimize system performance, with a focus on delivering scalable, efficient, and reliable AI solutions.

Main Duties And Responsibilities

• Design and build applications utilizing LLMs for tasks such as summarization, content creation, classification, Q&A, and conversational agents;
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using domain-specific datasets and vector databases (e.g., FAISS, Pinecone);
• Build agent-based systems with orchestration logic capable of autonomous planning, reasoning, and multi-step task execution;
• Integrate open-source and commercial LLMs into end-user applications using tools like LangChain and other orchestration frameworks;
• Craft prompt templates and implement chaining logic to guide model behavior effectively;
• Explore fine-tuning, embeddings, and context augmentation techniques to improve performance;
• Build and maintain APIs to expose AI capabilities securely and efficiently;
• Orchestrate workflows for real-time and asynchronous use cases;
• Continuously monitor, evaluate, and optimize GenAI pipelines for latency, cost, throughput, and reliability;
• Maintain detailed documentation of systems and effectively communicate results and capabilities to technical and non-technical stakeholders.

Position Requirements
Education
Bachelor's degree in Engineering or any other related field

Experience
1 to 3 years of relevant experience

Design and deliver enterprise-grade AI solutions tailored to sports, healthcare, and education, driving innovation and real-world impact.

Key Responsibilities:

• Architect scalable AI/ML solutions using Azure AI Foundry, Google Agent Builder.

• Integrate AI systems with ERP, CRM, medical, and sports performance platforms.

• Implement governance frameworks for AI transparency, compliance, and ethics.

• Apply NLP, computer vision, predictive analytics, and multi-agent systems to optimize outcomes.

• Define KPIs, monitor performance, and track ROI of AI deployments.

Requirements:

• 8+ years in solution architecture, 4+ in applied AI/ML.

• Bachelor's in AI, Data Science, Computer Science, or Engineering.

• Certifications: Microsoft AI Architect, Azure AI Foundry, Google Cloud AI/ML.

• Expertise in RAG, knowledge graphs, SQL/NoSQL/vector DBs.

• Strong ability to translate business cases into applied AI solutions.

We are hiring AI Engineer in our Qatar campus.

The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus' academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.

Key Responsibilities

AI Development, Support & Deployment (50%)

Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.

Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.

Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.

Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.

Leverage experience with AI/ML solutions in Azure, AWS, or Google Cloud environments to support scalable deployments.

Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines

Training, Stakeholder Engagement & Documentation (30%)

Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.

Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.

Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.

Research, Innovation & Technology Evaluation (10%)

Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.

Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.

Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.

Collaboration (10%)

Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.

Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university's main campus.

Minimum Qualifications

Education:

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field is required.

Master's degree preferred.

Experience:

3–5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.

Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.

Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud environments.

Skills & Competencies:

Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.

Excellent presentation, documentation, and training facilitation skills.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible

employees enjoy a wide array of benefits including

comprehensive medical, prescription, dental, and vision insurance

as well as a generous

retirement savings program

with employer contributions. Unlock your potential with

tuition benefits

, take well-deserved breaks with ample

paid time off

and observed

holidays

, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our

Family Concierge Team

to help navigate childcare needs,

fitness center access

, and much more

For a comprehensive overview of the benefits available, explore our

Benefits page

.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization? Apply today

Location

Doha, Qatar

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Full time

Pay Basis

More Information:

• Please visit "

Why Carnegie Mellon

" to learn more about becoming part of an institution inspiring innovations that change the world.
- Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.

About the Role

We are seeking a highly skilled and experienced Senior AI Engineer a deep understanding of asset-heavy industries such as oil & gas, manufacturing, or utilities to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions.

You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.

Responsibilities

Generative AI Pipeline Development

• • Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads.
• Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs.
• Build CI/CD pipelines with integrated prompt regression testing and version control.
• Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows.
• Monitor system performance using tools like Langfuse or Prometheus.

Data and Document Ingestion

• • Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data.
• Apply preprocessing pipelines for text, images, and code.
• Ensure data integrity, format consistency, and security across sources.

AI Service Integration

• • Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.).
• Build internal APIs for smooth backend-AI communication.
• Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets.
• Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy.

Retrieval-Augmented Generation (RAG) Pipelines

• • Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API).
• Design custom retrieval strategies for multi-modal or multi-source documents.
• Apply post-retrieval ranking using DPO or feedback-based techniques.
• Improve contextual relevance through re-ranking, chunk merging, and scoring logic.

LLM Integration and Optimization

• • Manage prompt engineering, model interaction, and tuning workflows.
• Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design.
• Optimize generation using temperature tuning, token limits, and speculative decoding.
• Integrate observability and cost-monitoring into LLM workflows.

Backend Services Ownership

• • Design and maintain scalable backend services supporting GenAI applications.
• Implement monitoring, logging, and performance tracing.
• Build RBAC (Role-Based Access Control) and multi-tenant personalization.
• Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production.

Required Skills and Qualifications

Education

• Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field.

Experience

• • 5+ years of experience in AI/ML engineering with end-to-end pipeline development.
• Hands-on experience building and deploying LLM/RAG systems in production.
• Strong experience with public cloud platforms (AWS, Azure, or GCP).
• 2+ years of experience in asset-heavy industries (e.g., oil & gas, utilities, manufacturing).

Technical Skills

• • Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch.
• Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph.
• Experience with RESTful API development and version control using Git.
• Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval.
• Familiarity with Docker, Kubernetes, and scalable microservice design.
• Experience with observability tools like Prometheus, Grafana, or Langfuse.

Generative AI Specific Skills

• • Knowledge of LLMs, VAEs, Diffusion Models, GANs.
• Experience building structured + unstructured RAG pipelines.
• Prompt engineering with safety controls, schema enforcement, and hallucination mitigation.
• Experience with prompt testing, caching strategies, output filtering, and fallback logic.
• Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods.

Soft Skills

• • Strong analytical, problem-solving, and debugging skills.
• Excellent collaboration with cross-functional teams: product, QA, and DevOps.
• Ability to work in fast-paced, agile environments and deliver production-grade solutions.
• Clear communication and strong documentation practices.

Preferred Qualifications

• • Experience with OCR, document parsing, and layout-aware chunking.
• Hands-on with MLOps and LLMOps tools for Generative AI.
• Contributions to open-source GenAI or AI infrastructure projects.
• Knowledge of GenAI governance, ethical deployment, and usage controls.
• Experience with hallucination suppression frameworks like , Rebuff, or Constitutional AI.