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.