AI / ML Engineer

Job Description: AI / ML Engineer

Project Role:

• Title: AI / ML Engineer
• Description: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must Have Skills:

• Machine Learning

Good to Have Skills:

• N/A

Experience:

• Minimum 3 years of experience required

Educational Qualification:

• 15 years full-time education

Summary:

These roles have many overlapping skills with GENAI Engineers and architects. Description may scale up/scale down based on expected seniority.

Roles & Responsibilities:

• Implement generative AI models, identify insights that can be used to drive business decisions.
• Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data.
• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
• Optimize existing generative AI models for improved performance, scalability, and efficiency.
• Ensure data quality and accuracy.
• Lead the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.
• Implement cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.
• Determine the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers.
• Experience working with cloud-based platforms (example: AWS, Azure, or related).
• Strong problem-solving and analytical skills.
• Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI.
• Prior statistical modeling experience.
• Demonstrable experience with deep learning algorithms and neural networks.
• Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
• Contribute to the establishment of best practices and standards for generative AI development within the organization.

Professional & Technical Skills:

• Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
• Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
• Must have strong knowledge of data structures, algorithms, and software engineering principles.
• Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
• Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
• Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
• Need to have knowledge of software development methodologies, such as Agile or Scrum.
• Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.