senior software engineer Jobs in Pakistan

senior software engineer

ai architect

ai/ml engineer

o&m assistant engineer

qa engineer

ai engineer

Volga Partners

<div>Location 
Islamabad, Pakistan 
House #571, Street #35, E-11/3, Islamabad
Employment Type 
Full-time
Work Setup: Hybrid
 
3 days in office 
2 days remote
Compensation 
PKR 600,000 &ndash; 850,000 per month 
(Compensation will be determined based on experience, software and AI background, technical expertise, AI product experience, and overall alignment with the role). 
About Volga Partners
Volga Partners is a global technology and AI solutions company focused on building innovative products, platforms, and intelligent systems that solve real-world business challenges. Our teams work across AI, software development, automation, data operations, and enterprise technology solutions supporting clients and products on a global scale.
We are building the next generation of AI-powered products and platform experiences and are seeking a Product Manager who thrives in fast-paced environments, enjoys solving complex problems, and can connect customer needs, business goals, and technology into a clear product vision.
About the Role
We are seeking a highly experienced Senior Software &amp; AI Engineer to join our growing engineering team. The ideal candidate will possess extensive experience in full-stack software development, system architecture, cloud technologies, artificial intelligence, and modern software engineering practices.
This role requires a hands-on technical leader capable of designing, developing, and deploying scalable enterprise applications while leveraging AI technologies to build innovative solutions. The candidate should be comfortable working across multiple programming languages, frameworks, and cloud environments.
Key Responsibilities<ul><li>
Design, architect, and develop scalable enterprise-grade software applications.</li><li>
Lead the development of AI-powered products and features utilizing modern AI/ML technologies.</li><li>
Build and maintain high-performance backend services, APIs, and distributed systems.</li><li>
Develop modern web applications and user interfaces using current frontend frameworks.</li><li>
Design database architectures and optimize application performance.</li><li>
Integrate third-party services, APIs, payment gateways, and cloud-based solutions.</li><li>
Collaborate with product managers, designers, and stakeholders to define technical requirements.</li><li>
Implement security best practices and ensure compliance with industry standards.</li><li>
Mentor junior and mid-level engineers and conduct technical reviews.</li><li>
Drive architectural decisions and establish engineering best practices.</li><li>
Participate in Agile development processes and technical planning.</li></ul> 
Required Qualifications
Experience<ul><li>
Minimum 8 years of professional Software/AI engineering experience.</li><li>
Proven experience delivering large-scale production applications.</li><li>
Strong experience working with international teams and remote environments.</li><li>
Experience leading technical projects and mentoring engineering teams.</li></ul>
Programming Languages
Candidates should have strong experience with most of the following technologies:<ul><li>
JavaScript</li><li>
TypeScript</li><li>
Python</li><li>
Java</li><li>
C#</li><li>
Go (Golang)</li><li>
PHP</li><li>
C++</li><li>
Rust</li><li>
SQL</li></ul>
Frontend Technologies<ul><li>
React.js</li><li>
Next.js</li><li>
Angular</li><li>
Vue.js</li><li>
HTML5</li><li>
CSS3</li><li>
Tailwind CSS</li><li>
Redux</li></ul>
Backend Technologies<ul><li>
Node.js</li><li>
Express.js</li><li>
NestJS</li><li>
Django</li><li>
FastAPI</li><li>
ASP.NET Core</li><li>
Spring Boot</li><li>
GraphQL</li><li>
REST APIs</li><li>
Microservices Architecture</li></ul>
Artificial Intelligence &amp; Machine Learning<ul><li>
OpenAI API</li><li>
Large Language Models (LLMs)</li><li>
Prompt Engineering</li><li>
AI Agent Development</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Vector Databases</li><li>
LangChain / LlamaIndex</li><li>
Machine Learning Fundamentals</li><li>
AI Workflow Automation</li></ul>
Databases<ul><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li><li>
SQL Server</li></ul>
Cloud &amp; DevOps<ul><li>
AWS</li><li>
Azure</li><li>
Google Cloud Platform (GCP)</li><li>
Docker</li><li>
Kubernetes</li><li>
CI/CD Pipelines</li><li>
GitHub Actions</li><li>
Terraform</li><li>
Linux Administration</li></ul>
Security &amp; Architecture<ul><li>
OAuth</li><li>
JWT Authentication</li><li>
RBAC</li><li>
Secure Coding Practices</li><li>
Distributed Systems</li><li>
Event-Driven Architecture</li><li>
System Design</li><li>
Performance Optimization</li></ul> 
Preferred Qualifications<ul><li>
Experience building SaaS products.</li><li>
Experience working with healthcare, fintech, or enterprise applications.</li><li>
Knowledge of data engineering and analytics platforms.</li><li>
Experience with AI-powered automation systems.</li><li>
Experience with real-time communication systems and WebSockets.</li><li>
Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li></ul> 
Compensation &amp; Benefits<ul><li>
Monthly compensation ranging from PKR 600,000 &ndash; PKR 850,000</li><li>
90-day probationary period.</li><li>
Eligible for company-sponsored medical insurance upon successful completion of probation.</li><li>
Eligible for holiday pay for designated company-observed holidays after 90 days of employment, subject to company policy.</li><li>
Eligible for Paid Time Off (PTO) in accordance with the company's service-based accrual model and eligibility requirements.</li><li>
Opportunity for career growth, product ownership, and direct impact on company strategy.</li></ul> 
Application Process
Qualified candidates are encouraged to submit their updated resume along with details of relevant projects, technical expertise, and availability.
Only shortlisted candidates will be contacted for interviews.</div>

Principal Software & AI Engineer - Pakistan

EDGEC

Company DescriptionAt Edgec.io, we build intelligent digital solutions using Artificial Intelligence, Machine Learning, Cloud Computing, Cybersecurity, Data Analytics, and IoT. We aim to transform ideas into impactful technology products.Job Title: Fresher AI Engineer (Entry Level) Location: Lahore (On-site) Job Type: Full-TimeJob OverviewWe are looking for a motivated Fresher AI Engineer to join our team. This role is ideal for recent graduates who want to start their career in Artificial Intelligence and Machine Learning.You will work under senior engineers and gain hands-on experience in AI model development, NLP, and data processing.Responsibilities<ul><li>Assist in building basic AI/ML models</li><li>Perform data cleaning and preprocessing</li><li>Support NLP and pattern recognition tasks</li><li>Work with Python and AI libraries</li><li>Collaborate with development teams</li><li>Learn and implement AI concepts in real projects</li></ul>Requirements<ul><li>Bachelor&rsquo;s in Computer Science or related field</li><li>Basic understanding of AI/ML concepts</li><li>Knowledge of Python</li><li>Interest in NLP and Neural Networks</li><li>Strong learning mindset and teamwork skills</li></ul>Pay: Rs60,000.00 - Rs120,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

AI/ML Engineer

NXP Semiconductors

<div>We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us! 
Job Summary 
We are seeking a highly skilled Edge AI Engineer/Scientist with a strong theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment. 
You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP&rsquo;s Ara2 family of NPUs, directly supporting the future of on‑device intelligence. 
If you want to the future of efficient on‑device AI, this is the place to be. 
Job Responsibilities 
Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
 
Prototyping: Develop and adapt state-of-the-art methods to NXP&rsquo;s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
 
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
 
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
 
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantified guidance on how choices impact model accuracy and performance.
 
IP Generation: Contribute to NXP&rsquo;s intellectual property portfolio through patents and technical publications. 
Job Qualifications 
Required Background 
Education: MSc or Ph.D (is a plus) in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning or Deep Learning.
 
AI Expertise: Proven practical experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers, LLMs, VLMs, etc.).
 
Technical Stack: Strong hands-on experience with PyTorch, ONNX, and model conversion/optimization pipelines.
 
Software Engineering: Proficient in Python and C++ and best development practices.
 
Embedded Mindset: Familiarity with the constraints of embedded systems (latency, power, memory bandwidth) and how code interacts with underlying hardware. 
Preferred 
Advanced AI: Experience with state-of-the-art quantization techniques for discriminative and generative AI (e.g., GPTQ, SpinQuant, etc).
 
Hardware Acceleration: Experience with NPUs, device-level profiling, and diagnosing memory bottlenecks.
 
Kernel Development: Experience with custom kernel development is a plus.
 
Compilers: Knowledge of MLIR or TVM is a significant plus. 
 
More information about NXP in India...
#LI-29f4</div>

Senior Quantization Engineer - Edge AI Model Optimization

Tata Consultancy Services (TCS)

<div></div><div><div><div><div>Skill- Data Scientist
Exp - 6+years
Location- Hyderabad
JD
Core Programming &amp; Tools
<ul><li> Hands-on experience building and deploying ML models on large-scale production datasets</li></ul>
<ul><li> Strong programming proficiency in Python with production-quality, well-structured code</li></ul>
<ul><li> Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake</li></ul>
<ul><li> Experience with Git for version control, code review, and collaboration</li></ul>
<ul><li> Familiarity with experiment tracking and model versioning (e.g., MLflow)</li></ul>
Classical ML &amp; Statistical Modeling
<ul><li> Time series forecasting (ARIMA, Prophet, deep learning approaches)</li></ul>
<ul><li> Optimization modeling (linear programming, mixed-integer programming)</li></ul>
<ul><li> &amp;nbs p; Classification, regression, clustering, and ensemble methods</li></ul>
<ul><li> Feature engineering, data wrangling, and statistical analysis on structured data</li></ul>
LLM Application &amp; AI Agent Development
<ul><li> AI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestration</li></ul>
<ul><li> RAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpoints</li></ul>
<ul><li> Prompt engineering and chain-of-thought design for complex supply chain workflows</li></ul>
<ul><li> Experience with orchestration frameworks like LangChain or LlamaIndex</li></ul>
Azure &amp; Production Delivery
<ul><li> Familiar with core Azure resources: Azure Machine Learning, Azure AI Studio, Azure OpenAI Service, and Azure storage/compute</li></ul>
<ul><li> Experience delivering production-ready models with proper testing, validation, and monitoring</li></ul>
<ul><li> Basic UI skills (Streamlit or Gradio) for quick prototyping and demos</li></ul>
Work Style
<ul><li> Highly self-motivated, collaborative, and able to deliver in a fast-paced environment</li></ul>
<ul><li> Able to start contributing within 1-2 weeks with minimal ramp-up</li></ul> 
</div></div></div><div><div><div>Location
</div><div>Hyderabad
</div></div><div><div>Job Function
</div><div>TECHNOLOGY
</div></div><div><div>Role
</div><div>Engineer
</div></div><div><div>Job Id
</div><div>416990
</div></div><div><div>Desired Skills
</div><div>Data Science
</div></div></div><div>Desired Candidate Profile
</div><div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

Data Scientist

Global Rescue

<div>
 
 Company
 
 
 
 
 Brief Description
 
 
 
 Global Rescue is the world&rsquo;s leading membership organization providing integrated medical, security, intelligence and crisis response services to consumers, enterprises and governments. Founded in 2004 Global Rescue&rsquo;s unique operational model provides best-in-class services that identify, monitor, and respond to threats and emergencies. For more information, please see www.globalrescue.com.
 
 
 
 Role Overview
 
 
 
 Global Rescue is seeking a versatile and driven Software Engineer &ndash; AI/LLM Applications with a strong focus on building AI-enabled enterprise software solutions. This role is intended for a strong software engineer who has hands-on experience with enterprise application development and has moved into AI-first development using LLMs, agents, automation, and modern AI engineering tools.
 
 
 This role focuses on building production-ready features, AI agents, assistants, and intelligent workflow systems that can use tools, call APIs, integrate with enterprise applications, reason over business context, and support both short-running and long-running business processes.
 
 
 This is primarily a software engineering role focused on building AI-enabled product features within enterprise systems, not a pure data science, ML research, or AI scripting-only position.
 
 
 The role involves integrating third-party LLMs such as OpenAI, Google Gemini, Claude, and other model providers into enterprise systems, while developing AI-powered features such as chatbots, assistants, Q&amp;A systems, contextual search, RAG pipelines, workflow automation, and agentic business processes.
 
 
 You will work on prompt engineering, embedding-based customization, lightweight fine-tuning, structured outputs, tool-calling, agent evaluation, validation flows, and modern agent frameworks such as Pydantic AI, Claude Agent SDK, OpenAI Agents SDK, LangGraph, or similar tools.
 
 
 The role may also involve developing capabilities in speech-to-text, text-to-speech, audio classification, sentiment analysis, intent recognition, and emotion detection to support multimodal AI experiences. Strong software engineering fundamentals, Python skills, applied AI/LLM knowledge, and experience integrating AI into real-world production applications are essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build, enhance, and integrate AI/LLM capabilities into enterprise applications and business systems built on any of the following technology stacks: Java, Spring Boot, Kotlin, .NET, Dynamics 365, or similar platforms, ensuring AI-enabled features are developed with strong software engineering fundamentals, clean architecture, reliable integrations, scalability, maintainability, and modern AI-first development practices.
 </li>
 <li>
 Integrate, leverage, and customize LLMs such as OpenAI, Gemini, Claude, and similar providers through APIs to enhance enterprise product features including chatbots, Q&amp;A systems, contextual search, workflow automation, and AI-assisted user experiences.
 </li>
 <li>
 Design, build, and deploy practical agentic AI systems that work within existing enterprise applications and are capable of handling short-running task execution as well as long-running, multi-step workflows involving APIs, databases, vector stores, and business systems.
 </li>
 <li>
 Design and implement prompt engineering strategies, structured outputs, tool-calling patterns, lightweight model customization techniques, and validation flows to adapt AI capabilities to business-specific software use cases.
 </li>
 <li>
 Build retrieval-augmented generation pipelines by integrating LLMs with vector stores such as FAISS, Pinecone, Qdrant, or similar platforms for reliable and dynamic knowledge grounding.
 </li>
 <li>
 Develop backend services, APIs, and integration components required to connect AI/LLM features with enterprise applications, databases, internal tools, and third-party systems.
 </li>
 <li>
 Develop AI components for speech processing, including speech-to-text, text-to-speech, audio classification, and voice-based workflows using tools and services such as Whisper, Google Speech APIs, Azure Speech, or similar platforms.
 </li>
 <li>
 Implement NLP and classification features such as sentiment analysis, intent recognition, entity extraction, summarization, and emotion detection using open-source libraries, cloud services, or third-party APIs.
 </li>
 <li>
 Follow an AI-first development approach by actively using modern AI coding assistants, LLM-based development tools, automation techniques, and rapid prototyping to improve productivity, code quality, debugging, documentation, and delivery speed.
 </li>
 <li>
 Collaborate with product, engineering, and business teams to identify opportunities where AI can improve workflows, automate repetitive tasks, enhance user experience, or support better decision-making.
 </li>
 <li>
 Develop clean, efficient, maintainable, and testable code using Python and/or relevant enterprise technology stacks, and actively participate in peer reviews, debugging, testing, CI/CD workflows, and MLOps/LLMOps-related activities.
 </li>
 <li>
 Monitor AI model performance, response quality, latency, token usage, and cost in production, and apply best practices for scalability, reliability, security, and cost-efficiency.
 </li>
 <li>
 Implement AI safety, validation, guardrails, error handling, fallback behavior, and evaluation checks to improve reliability of LLM-based workflows.
 </li>
 <li>
 Document workflows, implementation details, prompt strategies, model behavior, evaluation results, and integration patterns for cross-functional collaboration and long-term maintainability.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 4+ years of software development experience, including 2&ndash;3 years of hands-on experience building enterprise applications using any of the following technology stacks: .NET, Java, Spring Boot, Dynamics 365, or similar systems, along with 1&ndash;2 recent years of hands-on AI/LLM application development, preferably within an enterprise stack or using Python.
 </li>
 <li>
 Practical experience integrating LLMs through APIs such as OpenAI, Gemini, Claude, or similar providers.
 </li>
 <li>
 Strong understanding of prompt engineering, embeddings, model customization techniques, and basic LLM evaluation approaches.
 </li>
 <li>
 Experience building AI agents, agentic workflows, or tool-using LLM applications that interact with APIs, databases, vector stores, and enterprise systems.
 </li>
 <li>
 Familiarity with modern AI/agent frameworks such as Pydantic AI, Claude Agent SDK, LangGraph, OpenAI Agents SDK, or similar tools.
 </li>
 <li>
 Knowledge of RAG architectures, vector databases such as Qdrant, Pinecone, Chroma, or FAISS, and common NLP tasks including summarization, sentiment analysis, entity recognition, and intent detection.
 </li>
 <li>
 Experience with audio-based AI applications such as speech-to-text, text-to-speech, audio classification, and emotion or sentiment detection.
 </li>
 <li>
 Experience with REST APIs, FastAPI or similar backend frameworks, microservices, Docker, cloud platforms such as AWS, and GPU-enabled environments.
 </li>
 <li>
 Understanding of production concerns for LLM-based and agentic systems, including observability, latency, cost management, error handling, permissions, prompt/version management, security, and scalable deployment.
 </li>
 <li>
 Strong problem-solving skills, software design fundamentals, ownership mindset, and ability to work collaboratively in a team environment.
 
 
 </li>
 </ul>
 
 LOCATION:
 
 Islamabad
 
 
 
 COMPENSATION:
 
 Based on experience + bonus + benefits
</div>

Software Engineer – AI/LLM Applications

Lloyds Technology Centre

<div>End Date
Sunday 12 July 2026
We Support Flexible Working &ndash; Click here for more information on flexible working options
Flexible Working Options
Hybrid Working
Job Description Summary
Lloyds Banking Group is the UK&rsquo;s largest Digital, Retail and Commercial Bank with a focus on Helping Britain Prosper.
 
 
We&rsquo;re on the mission to build the bank of the future, and we need your help do it. Continuing our extensive transformation programme, we're redefining what a bank is from the inside out. Our technology, our culture, and our mind-set is changing to craft a true engineering-led organisation.
Job Description
Role: Senior/Lead Software Engineer 
Experience: 4-15 years 
Location: Hyderabad 
Job Type: Full Time
Key Accountabilities
1. Document AI Solution Development<ul><li>
Design and implement document processing workflows, including classification, extraction, and validation steps</li></ul><div></div>
2. AI Model Integration and Workflow Orchestration<ul><li>
Support integration of AI/ML and generative AI models into document processing workflows</li><li>
Define and manage workflow execution steps, ensuring traceability and consistency of outputs</li><li>
Support execution monitoring through defined workflow steps and execution tracking mechanisms</li></ul><div></div>
3. Data Processing and Platform Integration<ul><li>
Configure document ingestion, processing, and output flows across platform components</li><li>
Enable integration with on-prem and cloud downstream systems via APIs and automation layers</li><li>
Ensure solutions align with enterprise architecture and interoperability requirements</li></ul><div></div>
4. Operational Support and Performance Monitoring<ul><li>
Support live DocAI use cases by monitoring performance, accuracy, and usage</li><li>
Provide analysis of processing volumes and success rates where available</li><li>
Contribute to the generation and improvement of operational reporting and insights</li><li>
Resolve incidents raised for both on-prem and cloud solutions</li></ul><div></div>
5. Continuous Improvement and Problem Resolution<ul><li>
Identify gaps in current capabilities, including reporting, scalability, and data availability</li><li>
Investigate constraints such as data retention or system limitations and propose viable solutions</li><li>
Support ongoing enhancement of platform capabilities and delivery practices</li></ul><div></div>
6. Collaboration and Stakeholder Engagement<ul><li>
Work closely with Product Owners, engineers, and platform teams to deliver DocAI capabilities</li><li>
Participate in regular forums and working sessions to support delivery and continuous improvement</li><li>
Contribute to the evolution of reusable, platform-based document intelligence solutions</li></ul><div></div>
Skills and Experience
Technical Skills<ul><li>
Extensive experience of at least one high-level programming language, preferably Python and Typescript</li><li>
Experience building solutions following Infrastructure as Code best practices employing Terraform</li><li>
Hands-on experience building solutions for the public cloud (GCP)</li><li>
Experience working with and building CI/CD pipelines</li><li>
Experience with AI/ML or document intelligence technologies</li><li>
Understanding of workflow orchestration and pipeline design</li><li>
Familiarity with API-based integration and enterprise platforms</li></ul><div></div>
Core Capabilities<ul><li>
Analytical problem-solving and data interpretation</li><li>
Attention to detail and accuracy in solution design</li><li>
Ability to assess and make design decisions</li><li>
Ability to work with structured and unstructured data</li><li>
Strong collaboration across technical and product teams</li></ul></div>

Senior Software Engineer

Cobblestone Energy

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

Explore 245+ Ai engineer in Pakistan this July. Find roles across top companies and apply now to boost your career.