Lead AIML Engineer

This onsite position based in Islamabad requires a skilled AI/ML Engineer passionate about transforming advanced AI research into robust, production-ready solutions. At Melior ITS, you will contribute to building intelligent applications leveraging machine learning, generative AI, retrieval-augmented generation (RAG), knowledge graphs, and modern MLOps practices. This role demands hands-on expertise in designing scalable AI systems, leading projects, and collaborating across teams to deliver impactful AI-driven products.

Key Responsibilities:
- Lead the AI/ML engineering function, providing technical direction aligned with business goals and product needs.
- Own architecture, design, and delivery of AI/ML solutions, ensuring scalability and performance.
- Mentor and guide AI/ML engineers, conduct code and design reviews, and promote best engineering practices.
- Develop production-grade RAG applications integrating documents, APIs, vector databases, and knowledge graphs.
- Build GraphRAG solutions combining vector retrieval with entity and relationship-based search.
- Create intelligent agents and multi-step AI workflows using LangChain, LangGraph, or similar frameworks.
- Design agent workflows featuring state management, conditional routing, tool calling, retries, checkpoints, and human-in-the-loop controls.
- Develop NLP solutions for document intelligence, classification, extraction, summarization, semantic search, question answering, and conversational AI.
- Prepare and validate datasets through collection, cleaning, transformation, labeling, and feature engineering.
- Build scalable data and ML pipelines using ETL/ELT processes and integrate AI models with enterprise systems via APIs, databases, and cloud services.
- Optimize models for accuracy, latency, scalability, reliability, and cost-efficiency.
- Conduct research on emerging AI technologies and assess their business applicability.
- Collaborate with cross-functional teams including product managers, software engineers, data engineers, QA, and stakeholders.
- Produce technical documentation covering architecture, APIs, prompts, data flows, deployment, testing, and support.
- Troubleshoot AI applications, infrastructure, cloud deployments, and production issues.
- Foster a culture of continuous learning and contribute to coding standards and technical decision-making.

Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related fields.
- Minimum 4 years of professional experience in AI, machine learning, deep learning, or data science.
- Proven leadership in AI/ML projects or teams with ownership of technical direction and delivery.
- Strong proficiency in Python; experience with C/C++ is advantageous.
- Deep understanding of machine learning, deep learning, statistics, NLP, computer vision, and model evaluation.
- Hands-on experience with PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, Pandas, and NumPy.
- Experience with large language models (LLMs) such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, or open-source alternatives.
- Expertise in designing and implementing RAG systems including document ingestion, embedding generation, semantic search, vector databases (Pinecone, Weaviate, Qdrant, Milvus, Chroma, pgvector), hybrid search, reranking, and hallucination reduction.
- Knowledge of knowledge graphs and GraphRAG, including ontology design and graph-based retrieval, with experience in graph databases like Neo4j or Amazon Neptune.
- Familiarity with LangChain and/or LangGraph for building multi-agent AI workflows with state management and human-in-the-loop processes.
- Understanding of prompt engineering, structured outputs, function calling, agent memory, context engineering, and guardrails.
- Experience with model fine-tuning or parameter-efficient methods such as LoRA or QLoRA is a plus.
- Working knowledge of SQL and NoSQL databases including PostgreSQL, MongoDB, and Redis.
- Familiarity with REST APIs, FastAPI, asynchronous Python, Docker, and microservice architectures.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.

Preferred Qualifications and Benefits:
- Experience with MLOps and production engineering, including Git, CI/CD, Docker, Kubernetes, MLflow, Kubeflow, DVC, Airflow, Prefect, and infrastructure-as-code.
- Ability to implement model and dataset versioning, experiment tracking, automated deployment, and monitoring for model quality, latency, drift, and system health.
- Knowledge of observability tools such as LangSmith, OpenTelemetry, Arize, or Phoenix.
- Strong communication skills, analytical thinking, problem-solving, and ability to explain complex concepts to non-technical stakeholders.
- Experience working in Agile or product-development environments.
- Positive, adaptable mindset with strong ownership and attention to detail.

Melior offers a vibrant, diverse workplace culture with numerous opportunities for skills development and career growth. Employees benefit from competitive salaries, 25 holidays, comprehensive health insurance covering OPD, IPD, and maternity, leave encashment, fuel and mobile allowances, quarterly performance and annual retention bonuses, referral bonuses, and internet allowances. This role requires probation clearance.

Join Melior to work in a collaborative environment where your ideas are valued and your contributions recognized as you help shape the future of AI-driven solutions.