AI/ML Developer

职位ID

490970

发布时间

28-1月-2026

组织

Siemens Energy

工作领域

Research & Development

公司

SIEMENS ENERGY INDIA LIMITED

经验水平

高级专业人士

工作职位

全职

工作模式

仅办公室/网站

工作性质

长期

通知語言

古尔冈 - - 印度

Job Overview:

As an AI Developer, you will play a crucial role in designing, developing, and deploying advanced machine learning models and AI algorithms. You will work closely with data scientists, software engineers, and product managers to integrate AI solutions into our existing systems and create new, innovative products. Your work will directly impact our ability to deliver smart, data-driven solutions to our customers.

Key Responsibilities:

Model Development: Design, implement, and evaluate machine learning models and algorithms to solve business problems.
Data Analysis: Perform exploratory data analysis to understand data properties and prepare datasets for model training.
Algorithm Optimization: Continuously improve the performance and efficiency of AI models through hyperparameter tuning, feature engineering, and other optimization techniques.
Integration: Collaborate with software engineers to integrate AI models into production systems, ensuring seamless functionality and performance.
Prototyping: Develop prototypes and proof-of-concepts to demonstrate the feasibility of AI solutions.
Research: Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to improve our technologies.
Documentation: Create comprehensive documentation for AI models, algorithms, and processes to ensure knowledge transfer and maintainability.
Cross-Functional Collaboration: Work with cross-functional teams including product management, UX/UI designers, and quality assurance to align AI development with business goals.

Qualifications:

Education: Bachelor’s / master’s degree in computer science, Data Science, Artificial Intelligence, or a related field.
Experience: 7+ years of experience in AI development, machine learning, or a related field is a plus.

Technical Skills:

Proficiency in programming languages such as Python
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of machine learning algorithms and techniques
Familiarity with deep learning concepts and neural networks.
Knowledge of data preprocessing techniques and tools.
Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
Understanding of cloud platforms (e.g., AWS) and their AI/ML services.

职位详情