We are looking for a skilled Machine Learning Engineer with strong expertise in both conventional and Generative AI models. The ideal candidate should have hands-on experience in building and deploying scalable AI solutions, working with cloud platforms, and leveraging advanced AI services.
Requirements:
- Minimum 3+ years of experience in Machine Learning and Artificial Intelligence.
- Hands-on experience with Python scientific computing libraries (pandas, numpy, scikit-learn, matplotlib, etc.).
- Strong understanding of the Machine Learning lifecycle and conventional ML models.
- Practical experience with Generative AI models and architectures, including large language models (LLMs), text-to-SQL models, and other generative frameworks.
- Proven experience in developing, fine-tuning, and deploying Generative AI solutions in production environments.
- Solid knowledge of ML model optimization techniques for performance and scalability.
- Experience with MLOps practices and tools.
- Familiarity with cloud platforms such as GCP, Azure, or AWS.
- Knowledge of retrieval-augmented generation (RAG) techniques and their application in AI solutions.
- Experience working with AI services such as speech-to-text, document AI, and other cognitive services.
- Strong foundation in mathematics and statistics.
- Excellent communication and collaboration skills.
- Passionate about researching and applying emerging AI/ML technologies to solve real-world challenges.
Responsibilities:
- Design and develop scalable AI/ML solutions using both conventional and Generative AI models.
- Build, fine-tune, and deploy Generative AI solutions in production environments, including LLMs and text-to-SQL models.
- Implement ML model optimization techniques to ensure high performance and scalability.
- Manage the end-to-end ML lifecycle, from data preprocessing and model development to deployment and monitoring.
- Leverage cloud platforms (e.g., GCP, Azure, AWS) to deploy and scale AI services.
- Utilize Python scientific computing libraries such as pandas, NumPy, scikit-learn, and matplotlib for data analysis and model building.
- Apply MLOps practices to streamline ML model development, deployment, and maintenance.
- Integrate advanced AI services such as speech-to-text, document AI, and other cognitive services into solutions.
- Use RAG (retrieval-augmented generation) techniques to enhance the capabilities of AI systems.
- Collaborate with cross-functional teams to define, design, and implement AI-driven products and features.
- Stay updated with emerging AI/ML technologies and continuously explore their application to solve business challenges.
- Communicate effectively with both technical and non-technical stakeholders to present ideas, findings, and progress.
We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015, 27001:2013 & 20000-1:2018 certified. We have a vibrant culture of learning via collaboration and making the workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
