CISIN - Artificial Intelligence Engineer - Machine Learning/Deep Learning

2 weeks ago

Indore, India Cyber Infrastructure (P) Limited Full time

Role : AI Engineer

Experience Required : 3 yrs - 7 yrs.

Skills : Artificial intelligence, Machine learning, Deep learning, Generative AI & Computer Vision.

Qualification : Bachelors degree/ Masters (or equivalent) in computer science, mathematics or a related field.

Location : Indore (WFO)

Job Overview :

Cyber Infrastructure (CIS) is looking for an AI Engineer with expertise in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, and Computer Vision. The ideal candidate will be proficient in frameworks like TensorFlow, PyTorch, and Keras, with strong skills in NLP, LLMs, and Computer Vision. You will design, develop, and deploy advanced AI solutions that address complex business challenges and integrate seamlessly into production systems.

Key Responsibilities :

- Design, develop, and implement AI/ML algorithms and models to solve real-world business problems.

- Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.

- Research and stay up-to-date with advancements in AI, ML, and Deep Learning technologies.

- Develop data pipelines and preprocessing workflows for training and deployment.

- Monitor, evaluate, and improve AI model performance and scalability.

- Conduct experiments to validate hypotheses and enhance AI system capabilities.

- Deploy AI models in production environments with data scientists, engineers, and product managers.

- Create and maintain detailed technical documentation for AI models and processes.

Minimum Requirements :

- Strong experience with ML/DL frameworks (TensorFlow, PyTorch, or Keras).

- Proficiency in Python (mandatory) and familiarity with R or Java.

- Hands-on experience in Deep Learning, NLP, Computer Vision, or Reinforcement Learning.

- Strong understanding of data structures, algorithms, and statistics.

- Experience with cloud platforms (AWS, GCP, Azure) for AI model deployment.

- Knowledge of MLOps tools and practices for deployment and monitoring.

- Ability to work with large datasets and build scalable AI solutions.

- Excellent problem-solving, critical-thinking, and communication skills.

Preferred Skills :

- Experience with Generative AI models and Large Language Models (LLMs).

- Familiarity with server-side deployment and optimizing AI pipelines.

- Innovative mindset with a passion for continuous learning.

(ref:hirist.tech)

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