Qureos Mentor

Arbisoft

<div>
 
 We&rsquo;re looking for an experienced
 
 Engineering Manager
 
 to support and guide our engineering teams by driving progress, improving workflows, and enhancing visibility across projects. This role blends strong technical understanding with strategic oversight, ensuring projects are delivered on time and with clarity.
 
 
 
 
 
 Experience: Min 10 years in IT industry
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
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 Oversee project progress through structured tracking and reporting.
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 Conduct regular performance reviews, provide constructive feedback, and identify opportunities for team, project and professional growth.
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 Identify bottlenecks and delivery risks and help teams resolve them efficiently.
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 Collaborate with cross-functional teams including PMs, designers, and external stakeholders to help define project scope, technical approach, and resource allocation.
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 Provide insights and recommendations to improve execution across multiple large-scale initiatives using engineering metrics.
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 Use data to drive decisions, measure performance, and support continuous improvement.
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 Facilitate progress review meetings, ensuring visibility and accountability for deliverables.
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 Stay abreast of emerging technologies and trends, and evaluate their potential application within the company.
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 </ul>
 
 
 Qualifications:
 
 
 <ul>
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 Bachelor&rsquo;s or Master&rsquo;s degree in Software Engineering, Project Management, or a related field.
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 Proven experience in engineering leadership roles, preferably in fast-paced environments, with a passion for mentoring and developing talent.
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 Profound understanding of secure software development lifecycles and project management best practices.
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 Strong interpersonal and communication skills, with the ability to align multiple stakeholders.
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 A proactive mindset focused on outcomes, not just process.
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 </ul>
 
 
 
 
 
 Location:
 
 Lahore
 
 
 
 Nature of Job:
 
 Hybrid (Lahore Head Office)
 
</div>

Engineering Manager

<div>
 
 Arbisoft is looking for an experienced ML Engineer to design and deploy cutting-edge AI solutions, including LLMs, RAG pipelines, and agentic workflows. The ideal candidate brings deep expertise in Python, transformers, and scalable cloud-based ML systems.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
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 Design, implement, and evaluate ML/DL models using PyTorch, TensorFlow, or similar frameworks
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 Build and optimize LLM-based systems, including prompt-tuning, fine-tuning, and adapter-based training (e.g., LoRA, QLoRA)
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 Can develop robust and scalable RAG pipelines. In-depth knowledge of embeddings and can work with vector databases like FAISS, Pinecone, Weaviate, etc.
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 Construct and maintain Agentic AI workflows involving multi-step reasoning, tool calling, memory components, and planning logic.
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 Work with Proprietary APIs, as well as open-source libraries and models.
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 Develop modular and clean Python code, adhering to software engineering best practices (OOP, reusable components, testing).
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 Implement scalable solutions in cloud environments (like AWS), leveraging GPU/TPU resources effectively.
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 Design inference pipelines that are robust and optimized for latency and throughput.
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 Collaborate with research and product teams to translate ideas into production-grade ML features.
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 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
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 4+ years of experience in machine learning and deep learning, including building models from scratch.
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 Has a track record of shipping ML solutions that scale in production.
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 Strong proficiency in Python and deep understanding of software design principles.
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 Proven experience with transformer-based architectures, LLMs, and embedding models.
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 Hands-on experience with RAG systems, deep understanding of agent-based systems.
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 Familiarity with LangChain, LlamaIndex, or similar frameworks.
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 Experience with cloud platforms (AWS/GCP/Azure) and understanding of scalability, resource optimization, and model deployment.
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 Familiarity with performance profiling, efficient model serving, and hardware-aware design (e.g., GPU utilization, quantization).
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 Ability to read, debug, and contribute to complex ML/DL codebases.
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 </ul>
 
 
 
 
 
 Good to have:
 
 
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 Experience with MLOps, orchestration tools (e.g., Airflow, AWS Step Functions), containerization (Docker, Kubernetes.
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 Exposure to optimization toolkits (ONNX, TensorRT) and serving frameworks (Triton, TorchServe).
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 Experience with experiment tracking (e.g., Weights &amp; Biases, Comet)
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 Understanding of alignment techniques like RLHF or curriculum learning
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 </ul>
</div>

Senior ML Engineer

Join Arbisoft and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Arbisoft

ABOUT_COMPANY

Engineering Manager

Senior ML Engineer