AI Engineer
Pune
Full Time
1 position
3 to 5 years
Pune
Full Time
1 position
3 to 5 years
About the Role
We are seeking a highly skilled and motivated AI Engineer to join our growing team. In this role, you will design, develop, and deploy AI driven solutions that solve real-world problems at scale. You will collaborate with cross-functional teams to transition models from research to production, ensuring performance, fairness, and explainability.
Key Responsibilities
- AI Solution Development: Design and develop AI models and algorithms from scratch, utilizing techniques like machine learning, deep learning, natural language processing (NLP), and computer vision.
- Model Management: Train, test, fine-tune, and optimize AI and machine learning models for performance, accuracy, and scalability.
- Deployment and Integration: Deploy AI solutions into production environments using APIs, microservices, Docker, and Kubernetes. Integrate these AI capabilities with existing software systems and applications
- Data Handling: Collect, analyze, and interpret large, complex datasets to derive insights and ensure data integrity for model training.
- Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, product managers, and stakeholders, to define project goals and align AI strategies with business objectives.
- Monitoring and Maintenance: Manage the AI development process (MLOps), monitor model performance in real-time, troubleshoot issues, and implement continuous improvements.
Skills & Experience: Key Requirements
Required Skills:
- Three or more years of experience in applying AI to practical and comprehensive technology solutions
- Working with LLM and prompt engineering and prompt tuning
- Experience in Implementing pipelines for feature engineering and model retraining
- Experience in Collaborating with data scientists to transition models from research to production
- Experience in Managing model deployment in cloud environments (e.g. SageMaker, Vertex AI), MLOps and APIs
- Experience in Testing and validating AI performance across use cases.
- Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
- Experience in basics of data engineering and building data pipelines
- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
- Excellent written and verbal communication skills.
Good to Have:
- Experience of applying AI in real-time or large-scale systems
- Understanding of privacy, bias, and AI risk considerations
- Experience with innovation accelerators
- Experience with cloud environments
- Daat storytelling and model explainability
- Experience in model tuning, monitoring, and improvement
- Experience in Ensuring models is secure, fair, and explainable
Tech Stack
- Proficiency in programming languages like Python (essential), Java, or C++.
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Familiarity with MLOps, cloud platforms (AWS, Azure, GCP), and big data technologies (Hadoop, Spark).
- Knowledge of REST API development and database design.
- Expertise in specific AI domains like NLP, computer vision, or generative AI (LLMs, RAG).
Qualifications
Bachelor’s or master’s degree in computer science or related field.