Position Title: AI Engineer
Position Type: Regular FullTime
Position Location: New Delhi
Grade:Grade 06
Requisition ID:32845
Job Purpose
Design develop and implement artificial intelligence (AI) solutions that leverage advanced algorithms and machine learning techniques to solve complex business problems. Work closely with crossfunctional teams to understand requirements gather and analyze data and build AI models that can automate processes improve decisionmaking and drive innovation.
JOB RESPONSIBILITIES:
- Designing developing and implementing generative AI models and algorithms utilizing stateoftheart techniques such as GPT VAE and GANs.
- Collaborating with crossfunctional teams to define AI project requirements and objectives ensuring alignment with overall business goals.
- Conducting research to stay uptodate with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services.
- Optimizing existing generative AI models for improved performance scalability and efficiency.
- Developing and maintaining AI pipelines including data preprocessing feature extraction model training and evaluation.
- Developing clear and concise documentation including technical specifications user guides and presentations to communicate complex AI concepts to both technical and nontechnical stakeholders.
- Contributing to the establishment of best practices and standards for generative AI development within the organization.
- Providing technical mentorship and guidance to junior team members.
- Apply trusted AI practices to ensure fairness transparency and accountability in AI models and systems
- Drive DevOps and MLOps practices covering continuous integration deployment and monitoring of AI
- Utilize tools such as Docker Kubernetes and Git to build and manage AI pipelines
- Implement monitoring and logging tools to ensure AI model performance and reliability
- Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
- Familiarity with DevOps and MLOps practices including continuous integration deployment and monitoring of AI models.
KEY QUALIFICATION & EXPERIENCES:
- Minimum 5 years of experience in Data Science and Machine Learning
- Indepth knowledge of machine learning deep learning and generative AI techniques
- Knowledge and experience in Generative AI
- Proficiency in programming languages such as Python R and frameworks like TensorFlow or PyTorch
- Strong understanding of NLP techniques and frameworks such as BERT GPT or Transformer models
- Familiarity with computer vision techniques for image recognition object detection or image generation
- Experience with cloud platforms such as Azure or AWS
- Expertise in data engineering including data curation cleaning and preprocessing
- Knowledge of trusted AI practices ensuring fairness transparency and accountability in AI models and systems
- Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
- Excellent problemsolving and analytical skills with the ability to translate business requirements into technical solutions
- Strong communication and interpersonal skills with the ability to collaborate effectively with stakeholders at various levels
- Track record of driving innovation and staying updated with the latest AI research and advancements
- You have a degree in Computer Science Artificial Intelligence Machine Learning or a related field. A Master degree is preferred.
- You have solid experience developing and implementing generative AI models with a strong understanding of deep learning techniques such as GPT VAE and GANs.
- You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow PyTorch or Keras.
- You have strong knowledge of data structures algorithms and software engineering principles.
- You are familiar with cloudbased platforms and services such as AWS GCP or Azure.
- You have experience with natural language processing (NLP) techniques and tools such as SpaCy NLTK or Hugging Face.
- You are familiar with data visualization tools and libraries such as Matplotlib Seaborn or Plotly.
- You have knowledge of software development methodologies such as Agile or Scrum.
- You possess excellent problemsolving skills with the ability to think critically and creatively to develop innovative AI solutions.
- You have strong communication skills with the ability to effectively convey complex technical concepts to a diverse audience.
- You possess a proactive mindset with the ability to work independently and collaboratively in a fastpaced dynamic environment.
- Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
- Familiarity with DevOps and MLOps practices including continuous integration deployment and monitoring of AI models.
McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse antiracist inclusive meritbased and equitable workplace. As a global familyowned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity resilience and success and makes our business stronger.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms) please let us know and we will work with you to meet your needs.
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Job Family:Information Technology
Division:Global Digital Technology
Department:Cloud and Data Centre
Location(s): IN India : Haryana : Gurgaon
Company:McCain Foods(India) P Ltd