Artificial Intelligence Engineer

1 week ago


Dehra Dūn, Uttarakhand, India Cynet Systems Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: AI Python Developer

Location: On-site Dehradun Experience

Required: 3–6 years Employment Type: Full-time

About Cynet Cynet India is the staffing and recruiting wing of Cynet Corp. We focus on delivering recruiting solutions for our clients across the globe. From its humble inception in 2010, we have grown into a strong recruiting army of over 150 recruiters and have built a name for ourselves as the go-to staffing provider in Technical Staffing, Professional Staffing, Industrial Staffing, Clinical Staffing, and public sector Staffing.

Job Overview We are looking for an experienced AI Python Developer to design, develop, and implement intelligent systems using AI and machine learning frameworks. The ideal candidate will have a strong background in Python programming, data processing, and familiarity with AI/ML models, NLP, or Generative AI applications.

Key Responsibilities

Develop, train, and deploy AI and machine learning models using Python-based frameworks.

Build and optimize data pipelines for model training and inference.

Work on AI-driven automation, NLP-based chatbots, or predictive analytics tools.

Collaborate with data scientists, cloud engineers, and product teams to integrate AI solutions into existing platforms.

Implement APIs and microservices for AI model deployment and scalability.

Conduct model evaluation, tuning, and versioning for performance improvements.

Stay updated with emerging AI/ML technologies and apply them to solve real-world problems. Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

3–6 years of hands-on experience in Python development.

Strong understanding of AI/ML algorithms and frameworks (TensorFlow, PyTorch).

Experience with NLP, computer vision, or generative AI projects.

Proficiency in REST API development and cloud platforms (AWS, Azure, or GCP).

Solid understanding of data structures, algorithms, and software design principles.

Experience with version control (Git) and CI/CD pipelines. Preferred Skills

Experience with LLMs (e.g., OpenAI, Hugging Face, LangChain).

Familiarity with MLOps tools like Docker, Kubernetes, MLflow.

Knowledge of data visualization tools (Streamlit, Dash, or Plotly).

Exposure to vector databases (Pinecone, FAISS, Weaviate).



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