Responsibilities
- Design, implement, and optimise AI pipelines, including data ingestion, preprocessing, model training, and deployment.
- Develop and fine-tune traditional machine learning models and integrate them into production systems.
- Work on cutting-edge projects involving LLMs, including prompt engineering, fine-tuning, and inference optimisation.
- Perform data cleanup and preprocessing, ensuring data quality and consistency.
- Develop and implement feature engineering pipelines to enhance model performance.
- Collaborate with data engineers to manage large-scale datasets efficiently.
- Write clean, maintainable, and efficient code in programming languages such as Python or Go.
- Build scalable, robust, and maintainable solutions for AI/ML models and their deployment.
- Contribute to architecture design and participate in code reviews to ensure best practices.
- Clearly communicate technical concepts and progress to both technical and non-technical stakeholders.
- Act as a team player, contributing to a collaborative and innovative work environment.
- Stay updated on the latest developments in AI/ML, including advancements in LLMs and model optimisation techniques.
- Explore and evaluate emerging AI tools and technologies for potential integration into workflows.
Requirements
- Strong work experience of 3-5 years in the AI domain.
- Strong programming skills in Python (preferred), with proficiency in libraries like TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of ML operations (MLOps) and experience in deploying models in production environments.
- Solid understanding of traditional ML models (e. g., regression, SVM, decision trees, random forests).
- Exposure to large language models (e. g., OpenAI GPT, Llama, BERT) and fine-tuning techniques.
- Familiarity with NLP techniques, transformers, and generative AI models.
- Hands-on experience with data cleanup, preprocessing, and feature engineering.
- Proficiency with data handling tools such as Pandas, NumPy, and SQL.
- Understanding of software architecture and experience contributing to system design.
- Knowledge of CI/CD pipelines for AI/ML projects.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) would be a big plus.
- Strong analytical and problem-solving abilities.
- Excellent communication skills with the ability to present ideas effectively.
- Proven ability to work collaboratively in a team-oriented environment.
- B. Tech/M. Tech/MCA in first Class (CS/IT/ECE) from a Tier-1 College.
This job was posted by Rohit Singh from Amantya Technologies.
