Associate AI Engineer

Job purpose:

This role is responsible for designing, developing, and deploying advanced AI/ML and Generative AI solutions to solve complex business problems. The position focuses on building scalable machine learning models and pipelines while enabling data-driven decision-making across the organization.

Responsibilities:

• Advanced Data Analysis: Go beyond basic data exploration and delve into complex statistical analysis and modelling techniques using Python libraries like scikit-learn and TensorFlow.  Conduct exploratory data analysis to gain insights and inform modelling decisions.
• Machine Learning Expertise: Architect and implement sophisticated machine learning models to solve real-world and complex problems.  Design and implement scalable machine learning pipelines and workflows.
• Communication & Collaboration: Effectively translate technical findings into clear and actionable insights for technical and non-technical stakeholders. Collaborate with business teams to ensure data-driven solutions align with business objectives
• Mentorship & Knowledge Sharing: Guide and mentor junior engineers, fostering a collaborative learning environment and sharing best practices within the team.  Stay updated with the latest advancements in machine learning research and apply them to improve our solutions.

Skills:

• Bachelor's degree in computer science, Data Science, AI, or a related field
• 1+ years of hands-on experience in AI/ML projects (including internships or academic projects)
• Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, or Hugging Face
• Basic understanding of machine learning concepts, evaluation metrics, and data preprocessing techniques
• Experience with MLOps tools such as MLflow or Vertex AI
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with version control tools such as Git
• Experience with Jupiter notebooks, APIs, and basic deployment workflows
• Exposure to GenAI tools and frameworks such as OpenAI, LangChain, or vector databases
• Strong analytical and problem-solving skills
• Ability to work in a collaborative and fast-paced environment
• Strong communication skills
• Exposure to production-level AI deployments
• Understanding of model monitoring and optimization techniques