19 Gaius Hyperlocal Jobs
8-12 years
Lead Data Scientist - Machine Learning Solutions (8-12 yrs)
Gaius Hyperlocal
posted 1mon ago
Key skills for the job
About the Role :
Duration : 6 months + Extendable
Location : Remote
Timings : General IST
Notice Period : Within 15 days or immediate joiner
Experience : Minimum 8 Years of relevant exp
Interview Rounds : 4
Job Overview :
We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL).
- 8+ years of work experience in writing code in Python
- Experience in using various Python libraries like Pandas, NumPy
- Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE's - PyCharm,
- Visual Studio Code; Libraries - Pylint, pycodestyle, pydocstyle, Black)
- Strong experience on AI assisted coding experience.
- AI-assisted coding for existing IDE's like vscode.
- Experimented multiple AI-assisted tools and done research around it.
- Deep understanding of data structures, algorithms, and excellent problem-solving skills
- Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation
- Machine Learning libraries like Scikit-learn, XGBoost
- Experience in CV, NLP or Time Series.
- Experience in building models for ML tasks (Regression, Classification)
- Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi
- Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings
- Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure)
- Experience in distributed training of models on Nvidia GPUs
- Familiarity in Dockerizing the model and creating model endpoints (Rest or gRPC)
- Strong working knowledge of source code control tools such as Git, Bitbucket
- Prior experience of designing, developing and maintaining Machine Learning solutions through its Life Cycle is highly advantageous
- Strong drive to learn and master new technologies and techniques
- Strong communication and collaboration skills
- Good attitude and self-motivated
- Open communication, flat hierarchy, plenty of individual responsibility
Functional Areas: Other
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