Data Science & AI Engineer

Data Science & AI Engineer

Roles and responsibilities:

• Develop, implement, and optimize machine learning models and AI algorithms to solve complex business
  problems.
• Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures
  
• Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs.
  
• Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.).
  
• Work closely with clients to understand their data and AI needs and provide tailored solutions.
  
• Collaborate with cross-functional teams to integrate AI solutions into broader software architectures.
  
• Mentor junior team members and provide guidance in implementing best practices in data science and AI development.
  
• Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies.
  

• 5+ years of experience in data science, machine learning, and AI technologies.
  
• Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS.
  
• Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers.
  
• Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  
• Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL).
  
• Experience with MLOps practices and deployment of models in production environments.
  
• Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets.
  
• Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc.
  
• Client-facing experience with strong communication skills to manage and engage stakeholders.
  
• Strong problem-solving skills and analytical mindset.
  
• Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members