Associate

Line of Service

Industry/Sector

Specialism

Management Level

• Model Development and Deployment:

  • Design, develop, and implement Generative AI models (such as GPT, GANs, VAEs) for various applications.
  • Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Deploy AI models into production environments using cloud platforms (AWS, GCP, Azure) and MLOps practices.

• Data Science and Analysis:

  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
  • Develop and validate predictive models using machine learning techniques.
  • Utilize statistical methods and algorithms to analyze large datasets and extract meaningful insights.

• Python Development:

  • Write clean, efficient, and scalable Python code for AI model development and deployment.
  • Build and maintain data pipelines, APIs, and automation scripts.
  • Integrate AI models with existing software systems and services.

• Collaboration and Communication:

  • Work closely with data engineers, product managers, and stakeholders to understand business needs and translate them into technical requirements.
  • Present findings, model performance, and insights to both technical and non-technical audiences.
  • Contribute to research and development efforts, staying up-to-date with the latest advancements in AI and data science.
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Mandatory skill sets

• Technical Skills:

  • Proficient in Python, with a strong understanding of libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.
  • Experience with Generative AI models (e.g., GPT, GANs) and natural language processing (NLP).
  • Strong background in machine learning, deep learning, and statistical modeling.
  • Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps tools.
  • Experience with version control (Git) and CI/CD pipelines.

• Soft Skills:

  • Strong problem-solving skills and attention to detail.
  • Ability to work independently as well as collaboratively in a team environment.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience in developing AI solutions for specific industries (e.g., Pharma, finance, retail).
• Publications or contributions to AI/ML communities or conferences.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
  

*Preferred skill sets

• Soft Skills:

  • Strong problem-solving skills and attention to detail.
  • Ability to work independently as well as collaboratively in a team environment.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience in developing AI solutions for specific industries (e.g., Pharma, finance, retail).
• Publications or contributions to AI/ML communities or conferences.
  
Familiarity with containerization and orchestration tools (Docker, Kubernetes


*Year of experience required

• 3+ years of experience in data science, AI, or machine learning roles.
• Proven track record of deploying AI models in production environments.
• Experience in working with large datasets and big data technologies
  

*Educational Qualification

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
  

Education

Certifications

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date