[25/09/2025] Data Science Engineer

3 weeks ago

Pune, India Ciklum Full time

Job Description

About the role:

As a Data Science Engineer, become a part of a cross-functional development team who is working with a leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, our client serves 1500+ Enterprise customers globally and has grown to 2, 500 talented leaders, data scientists, and other professionals across over 20 countries.

Responsibilities

- Collaborate with engineers, data scientists, and business analysts to understand requirements, refine models, and integrate LLMs into AI solutions
- Development and implementation of Deep learning algorithms for AI solutions
- Stay updated with recent trends in GENAI and apply the latest research and techniques to projects
- Collaborate with clients to understand their business challenges and tailor GENAI solutions that provide strategic advantages
- Preprocess raw data, including text normalization, tokenization, and other techniques, to make it suitable for use with NLP models
- Setup and train large language models (BERT, GPT-3, etc. ) and other state-of-the-art neural networks
- Conduct thorough testing and validation to ensure accuracy and reliability of model implementations
- Perform statistical analysis of results and optimize model performance for various computational environments, including cloud and edge computing platforms

Requirements

- Bachelors/Master s degree in computer science, engineering, or a related field
- 4+ years of enterprise software product development experience, with a solid understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI and GenAI model deployment
- Strong programming skills in Python, PyTorch, TensorFlow, and related libraries
- Proficiency in RegEx, Spacy, NLTK, and NLP techniques for text representation and semantic extraction
- Hands-on experience in developing, training, and fine-tuning LLMs and AI models
- Practical understanding and experience in implementing techniques like CNN, RNN, GANs, RAG, Langchain, and Transformers

Expertise in Prompt Engineering techniques and various vector databases

- Familiarity with Cloud Computing Platforms like AWS/Azure
- Experience with Docker, Kubernetes, CI/CD pipelines
- Excellent analytical and problem-solving skills. Strong communication skills and ability to collaborate effectively with cross-functional teams

Skills and Experience

- Python, PyTorch, TensorFlow, and related libraries and modules
- Deep learning, Computer Vision, CNN, RNN, LSTM
- Regular Expressions (RegEx), Spacy, NLTK, and NLP techniques
- Large Language Models (LLMs), Transformers, LSTMs, RNNs, and GANs
- Conversational AI (Chatbots), Prompt Engineering
- Vector Databases (Pinecone, Cassandra, etc. ), Database Technologies
- Cloud Computing Platforms (AWS, Azure, GCP)

Desirable

- Knowledge of various machine learning algorithms, reinforcement learning and Image Processing
- Deployment and Application Development Technologies like Flask, FastAPI
- Data preprocessing libraries like NumPy, Pandas
- Familiarity with MySQL and NoSQL databases

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