Description
Posting title : AI Engineer
Experience : 3+ Years
Location : Baner, Pune
Work mode : On-site
Primary skills : AI/ML, Python, Tensorflow/ PyTorch, Pandas/ NumPy, Aws/Azure/ GCP, MLOps
Qualification : Any Technical Degree
About The Role
We are seeking a skilled AI Engineer to design, develop, and deploy intelligent systems that drive business impact.
The ideal candidate will have hands-on experience in building machine learning and deep learning models, managing the full AI project lifecycle, and working collaboratively with cross-functional teams to deliver scalable AI solutions.
Key Responsibilities
- Design, develop, train, and optimize machine learning and deep learning models.
- Manage the end-to-end lifecycle of AI/ML projects from data collection and preprocessing to model deployment and monitoring.
- Collaborate with data scientists, software engineers, and business stakeholders to translate business challenges into AI-driven solutions.
- Implement and fine-tune algorithms for Computer Vision, NLP, Recommendation Systems, or Predictive Analytics based on project requirements.
- Deploy models into production using MLOps best practices and ensure scalability and performance.
- Continuously research and experiment with the latest AI/ML tools, frameworks, and methodologies.
- Troubleshoot, maintain, and improve existing AI models and data pipelines.
Required Skills & Qualifications
- 3+ years of proven experience in AI/ML model development and deployment.
- Strong programming expertise in Python and related libraries (TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, NLTK, etc.).
- Experience with data analysis and manipulation using Pandas, NumPy, etc.
- Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML development and deployment.
- Understanding of MLOps tools and practices (Docker, Kubernetes, MLflow, CI/CD pipelines) is a plus.
- Solid grasp of statistics, linear algebra, and probability.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills (Good To Have)
- Hands-on experience with Large Language Models (LLMs) and Generative AI tools (OpenAI, Hugging Face, LangChain, etc.).
- Exposure to Big Data frameworks such as Spark or Hadoop.
- Experience with API development and integration.
- Prior experience developing AI-powered applications for NLP, Computer Vision, Speech Recognition, or Recommendation Systems.
(ref:hirist.tech)
