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- Tasks: Design and develop AI systems to solve real-world problems.
- Company: Join Cyber Infrastructure, a leading tech provider with a global presence.
- Benefits: Enjoy onsite work opportunities and benefits across multiple countries.
- Why this job: Be part of innovative projects that shape the future of technology.
- Qualifications: Degree in CS/IT or equivalent; experience with AI frameworks required.
- Other info: Work in a dynamic team and collaborate on cutting-edge AI solutions.
The predicted salary is between 36000 - 60000 £ per year.
Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India.
AI Engineers design and develop artificial intelligence systems and algorithms. AI Engineers work on creating models that can analyze data, make predictions, and automate tasks. By improving machine learning technologies, AI Engineers enhance software capabilities and contribute to innovative solutions across various applications.
Duties & Responsibilities:- Design, develop, and implement AI/ML algorithms and models to solve business challenges.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
- Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
- Develop data pipelines and preprocessing methods for model training and deployment.
- Monitor, evaluate, and improve the performance of AI models and systems.
- Conduct experiments to validate hypotheses and enhance AI system capabilities.
- Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
- Create technical documentation for AI models and workflows.
- Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, R, or Java.
- Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
- Strong understanding of data structures, algorithms, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
- Knowledge of MLOps tools and practices for model deployment and monitoring.
- Ability to work with large datasets and build scalable AI solutions.
- Strong problem-solving and critical-thinking skills.
- Excellent communication and collaboration skills.
- Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
- Exposure to big data technologies (e.g., Hadoop, Spark).
- Knowledge of model interpretability and explainability methods.
Onsite Work Location: London - England
Working Model: Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East. On-site benefits apply.
Apply from Locations: Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad
How to Apply Directly? Visit URL https://career.cisin.com/uk-job/ai-engineer-jobs and Apply directly online by filling our form.
Artificial Intelligence Jobs - AI Engineer employer: Cyber Infrastructure (P) Limited
Contact Detail:
Cyber Infrastructure (P) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Jobs - AI Engineer
✨Tip Number 1
Familiarise yourself with the latest AI technologies and frameworks like TensorFlow, PyTorch, or Keras. Being well-versed in these tools will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Engage with online communities and forums related to AI and machine learning. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for job openings.
✨Tip Number 3
Showcase your hands-on experience by working on personal projects or contributing to open-source AI initiatives. This practical experience can set you apart from other candidates and give you real-world examples to discuss during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm problems relevant to AI. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Artificial Intelligence Jobs - AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and skills required for the AI Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as TensorFlow, PyTorch, and cloud platforms.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your proficiency in programming languages like Python or R, and any hands-on experience with machine learning frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for artificial intelligence and how your background makes you a suitable candidate. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work with large datasets.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial in the tech industry.
How to prepare for a job interview at Cyber Infrastructure (P) Limited
✨Showcase Your Technical Skills
Make sure to highlight your experience with machine learning frameworks like TensorFlow or PyTorch. Be prepared to discuss specific projects where you've implemented AI solutions, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Focus
Research Cyber Infrastructure and their approach to AI. Familiarise yourself with their projects and values, so you can align your answers with their goals during the interview.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex AI challenges, as this will showcase your critical-thinking skills.
✨Emphasise Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with data scientists, software engineers, or product managers in past projects.
