Lead Data Scientist - Machine Learning

<p>We are looking for experienced Data Scientists and Lead Data Scientists with a strong background in FinTech, Banking, and Financial Services.

The ideal candidate will have proven expertise in machine learning, NLP, and deep learning, along with hands-on experience applying these techniques to real-world financial datasets and business problems.<br/><br/><b>Location :</b> Gurgaon<br/><br/><b>Education : </b>Any Engineering Graduation or Master's from premium institute <br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and deploy machine learning and deep learning models for real-world applications.<br/><br/>- Perform data wrangling, including cleaning, transformation, and feature engineering from diverse sources.<br/><br/>- Conduct exploratory data analysis and create insightful visualizations to communicate findings.<br/><br/>- Fine-tune and optimize models, including adaptation of pre-trained architectures.<br/><br/>- Collaborate with cross-functional teams to understand project requirements and deliver scalable solutions.<br/><br/>- Maintain version control using Git and interact with databases for data retrieval and storage.<br/><br/>- Stay current with advancements in AI, particularly in NLP and large language models.<br/><br/><b>Must-Have Skills :</b><br/><br/>- Proficiency in Python programming for data science tasks.<br/><br/>- Hands-on experience with Machine Learning & Deep Learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).<br/><br/>- Strong background in Natural Language Processing (NLP), including text preprocessing and model implementation.<br/><br/>- Experience in model training and fine-tuning, including hyperparameter optimization.<br/><br/>- Expertise in data wrangling - cleaning, transforming, and preparing complex datasets.<br/><br/>- Skill in data visualization using libraries such as Matplotlib, Seaborn, or Plotly.<br/><br/>- Working knowledge of Git for version control and database management (SQL or NoSQL).<br/><br/>- Ability to quickly grasp project requirements and adapt to evolving technical and business needs.<br/><br/><b>Good-to-Have Skills :</b><br/><br/>- Experience in prompt engineering and integrating LLMs (e.g., GPT, Llama) into applications.<br/><br/>- Strong foundation in statistics and mathematics relevant to machine learning.<br/><br/>- Exposure to cloud platforms such as AWS, GCP, or Azure (e.g., for model deployment or data processing).<br/><br/>- Prior experience mentoring junior team members (especially for Lead role).</p> (ref:hirist.tech)