AI Engineer

4 weeks ago

Delhi, Delhi, India mccainfood Full time
Job Title: AI Engineer - System Reliability and Resilience

Job Summary:

We are seeking an experienced AI Engineer to join our team as an AI Engineer - System Reliability and Resilience. In this role, you will be responsible for designing and developing AI solutions to improve system reliability and resilience. Your focus will be on building automation to reduce manual effort and prevent incidents, particularly in incident management.

Key Responsibilities:

* Assist in design and deployment of AI/ML solutions, ensuring alignment with business goals and technical requirements.
* Collaborate with service and solution owners, technical & application teams to gather requirements, identify use cases, and propose solutions.
* Create detailed technical solutions, including system architecture, data flow, and integration points.
* Implement scalable, efficient, and robust AI models, algorithms, and systems.
* Collaborate with service and solution owners, technical, and non-technical teams to collect, clean, and prepare data for AI model training and evaluation.
* Develop and maintain best practices and coding standards for AI solution development.
* Troubleshoot and resolve technical issues related to AI systems.
* Foster a culture of knowledge sharing and growth.
* Create content (Docs, workflow diagrams, testing plans, training) related to specific use cases or best practices.
* Provide training and guidance, as needed.
* Monitor AIOps dashboards for Continual Improvement Opportunities.
* Provide regular KPI and Metric updates including findings and adoption rates to leadership, escalating concerns as appropriate.
* Stay up-to-date on advancements in AI technologies and research to drive innovation and continuous improvement.
* Collaborate with Incident and Problem Management to reduce MTTR and Incident volume.
* Design, implement, and maintain AIOps solutions to monitor and analyze IT systems, applications, and networks.
* Deploy machine learning algorithms for anomaly detection, root cause analysis, and incident prediction.
* Configure and manage observability tools and platforms to gain real-time visibility into system health and performance.
* Develop monitoring dashboards, alerts, and reports to provide comprehensive insights into the IT environment.
* Conduct root cause analysis for incidents using data from AIOps and observability tools to identify underlying issues.
* Work closely with software engineers to instrument applications with appropriate logging, metrics, and tracing capabilities
* Continuously analyze monitoring data to identify trends, anomalies, and opportunities for optimization.
* Stay updated with industry trends and advancements in AIOps and observability practices, and recommend new tools or methodologies for adoption

Requirements:

* Minimum 5 years of experience in Data Science and Machine Learning
* Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
* 8+ years of industry experience in software development.
* Strong proficiency in Java, Spring Boot, REST Web Services, Kafka, and Microservices architecture.
* Strong understanding of object-oriented programming principles and design patterns.
* Experience with AIOps and machine learning is highly desirable.
* Knowledge of OpenTelemetry is an added advantage.
* Experience with other monitoring tools like Prometheus, Grafana, etc.
* Experience with Observability solutions like Dynatrace, DataDog, Instana etc. is highly desirable
* Experience working with mainframe systems is a plus (willingness to learn is also acceptable).
* Excellent problem-solving and analytical skills.
* Strong communication and collaboration skills.
* Ability to work independently and manage multiple projects simultaneously.
* Passion for learning new technologies and continuous improvement.
* 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
* Knowledge of IT operations concepts and processes, such as monitoring, incident management, root cause analysis, remediation.
* You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master degeree. is preffered.
* 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.
* Certification - ITIL V3 / V4
* Hands-on experinece in Observaiblity & AIOP tools (preferably SolarWinds, Moogsoft, BigPanda, Splunk, Science Logic, Logic Monitor , New Relic, AppDynamics etc)
* Experience in working with AI frameworks and tools, such as TensorFlow, PyTorch, Scikit-learn

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