Machine Learning Engineer

Work set-up: 
Hybrid
Contract: 
Work from: 
Lahore (PK)

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Tkxel SME https://www.tkxel.com
501 - 1000 Employees
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Job description

Summary
A skilled Machine Learning Engineer with hands-on experience in developing and deploying in-house machine learning models for business-critical applications. Proficient in model lifecycle management, from data preprocessing and feature engineering to training, evaluation, and deployment using scalable frameworks.

Job Description

  • Build autonomous AI-driven agents for tasks such as reasoning, decision-making, automation, and contextual understanding.

  • Customize and deploy GPT, LLaMA, Claude, Mistral, and other foundation models to solve industry-specific challenges.

  • Design scalable, production-ready AI workflows using Python, LangChain, LlamaIndex, OpenAI functions, and AutoGPT.

  • Enhance AI agents with retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, Weaviate, ChromaDB), and knowledge graphs.

  • Work with text, images, audio, and structured data to create multimodal AI applications.

  • Implement reinforcement learning, agentic workflows, and action-planning techniques to enhance AI autonomy.

  • Optimize and deploy models on cloud platforms (AWS, Azure, GCP) and ensure efficiency in a microservices-based architecture.

  • Leverage few-shot learning, prompt chaining, and tool-use APIs to improve AI reasoning capabilities.

  • Develop responsible AI solutions by addressing bias, explainability, and security concerns.



Requirements

  • Proven experience developing GenAI-powered applications and AI agents.

  • Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex, OpenAI API).

  • Hands-on expertise in LLM fine-tuning, model adaptation, and prompt engineering.

  • Familiarity with vector databases (FAISS, Pinecone, Weaviate, ChromaDB) and knowledge retrieval techniques.

  • Experience integrating AI with APIs, automation frameworks, and microservices.

  • Working knowledge of cloud-based AI deployment (AWS, Azure, GCP).

  • Understanding of NLP, reinforcement learning, and multi-agent architectures.

  • Strong problem-solving skills, ability to work independently, and in a collaborative team environment.

  • Excellent communication skills with a passion for AI-driven innovation.




Salary: Market Competitive

Required profile

Experience

Other Skills

  • Collaboration

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