AI Ops Engineer

Position Title: AI Ops Engineer

Position Type: Regular - Full-Time

Position Location: New Delhi

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 cross-functional teams to understand requirements, gather and analyze data, and build AI models that can automate processes, improve decision-making, and drive innovation.

Job Responsibilities

• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conducting 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.
• 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 non-technical 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
• In-depth 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 problem-solving 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 cloud-based 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 problem-solving 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 fast-paced, 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, merit-based, and equitable workplace. As a global family-owned 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. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Employee Privacy Policy

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