We are seeking a dedicated and skilled Machine Learning Engineer to join our dynamic and innovative team. In this role, you will be responsible for developing, implementing, and optimizing machine learning models that enhance our products and solutions. You will work closely with cross-functional teams in a collaborative environment that fosters professional growth and offers the opportunity to make a significant impact in the AI field.
Key Responsibilities:
- Develop and deploy machine learning models tailored for real-world applications.
- Enhance and optimize existing models to improve their performance and scalability.
- Collaborate with various teams to collect data, understand project requirements, and implement AI-driven solutions.
- Conduct ongoing research to stay updated on the latest machine learning and AI advancements.
- Assist in building tools and frameworks that support model training, evaluation, and deployment processes.
- Write clean, maintainable, and efficient code to streamline machine learning workflows.
- Document methodologies and results to facilitate knowledge sharing and future reference.
Required Qualifications:
- At least 1 year of practical experience in machine learning and AI model development.
- Strong grasp of machine learning concepts, algorithms, and techniques.
- Proficiency in Python and familiarity with essential data science libraries such as Pandas, NumPy, and Scikit-Learn.
- Experience working with deep learning frameworks like TensorFlow, PyTorch, and HuggingFace.
- Knowledge of model deployment methods and tools, including FastAPI and Python asyncio.
- Hands-on experience in fine-tuning and optimizing AI models for specific applications.
- Excellent analytical and problem-solving abilities with strong attention to detail.
- Effective communication skills and a collaborative mindset.
- A passion for continuous learning and adapting to emerging technologies and methodologies.
- A Bachelor’s degree or higher in Computer Science, Engineering, or a related discipline is preferred.
Preferred Qualifications and Additional Skills:
- Familiarity with Natural Language Processing (NLP) libraries such as SpaCy, Gensim, or transformers is advantageous.
- Experience with Agentic AI frameworks like Langchain, Langgraph, or Llama Index is considered a plus.
This is a full-time, onsite position based in Lahore, with working hours from 3:00 PM to 12:00 AM. Join our forward-thinking team and contribute your expertise to pioneering AI solutions and driving product innovation.