Job Description

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Looking for challenging role? If you really want to make a difference - make it with us

Can we energize society and fight climate change at the same time?

At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world\xe2\x80\x99s energy systems. Their spirit fuels our mission.

Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you?

oriented.

• Hands-on experience in developing LLM-based applications for both front-end and back-end development.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML.
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.
• Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/ GCP, Databricks, Apache Spark).
• Well-versed in software development and code quality best industry practices.
• Experience working with Agile Development methodologies.
• Experience in the energy sector preferred.

Responsibilities:

• LLM Developer/Engineer, your primary responsibility is to design, develop, and optimize large language models, NLP systems, frameworks, and tools for both front-end and back-end development.
• Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
• Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
• You will work with a team of researchers and engineers to build state-of-the-art language models that can understand and generate human-like text.
• Work with business users to translate functional requirements into data specifications
• Collaborate with data scientists and business users to transform domain know-how into functional requirements.
• Data Analysis and Preprocessing: Collect and preprocess large-scale text corpora to train and fine-tune language models. Conduct data analysis to identify patterns, trends, and insights that can inform model development and improvement.

• Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications, and collaborate with the research team to design and develop state-of-the-art language models.
• Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.
• Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning.

Collaboration and Communication:

• Collaborate effectively with cross-functional teams, including researchers, DevOps architects/engineers, engineers, and product managers.
• Communicate complex ideas and technical concepts clearly to stakeholders and team members supported by Large Language Model (LLM) technology.
• Documentation and Knowledge Sharing: Document code, algorithms, and processes to ensure effective knowledge transfer and maintain codebase quality.

We don\xe2\x80\x99t need superheroes, just super minds:

• B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master\'s in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.
• 10-12 years of IT experience with a min of 3+ years in Data Science (AI/ML) with a specialization in NLP.
• Strong programming skills in languages such as Python or Java
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is highly desirable.
• Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.
• Familiarity with statistical and machine learning approaches, such as neural networks, recurrent neural networks (RNN), and transformer models.
• Experience with large-scale data processing, including data collection, cleaning, and preprocessing.
• Good working project experience in cloud computing i.e., AWS/ Azure/GCP cloud Services including VPCs, EBS, ALBs, NLBs, EC2, S3, and so on so forth.
• Proficiency in working with UNIX/Linux environments and command-line tools.
• Strong analytical and problem-solving abilities.
• Excellent communication skills, interpersonal, written, visual (presentations), and verbal.

We\xe2\x80\x99ve got quite a lot to offer. How about you?

This role is based at Site ( Gurgaon ). You\xe2\x80\x99ll also get to visit other locations in India and beyond, so you\xe2\x80\x99ll need to go where this journey takes you. In return, you\xe2\x80\x99ll get the chance to work with teams impacting entire cities, countries \xe2\x80\x93 and the shape of things to come.

We\xe2\x80\x99re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We\'re dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Siemens