Role Overview

We are looking for a skilled and motivated Data Scientist with 2–3 years of experience to contribute to the design, development, and implementation of AI/ML solutions . The ideal candidate should have strong hands-on experience in Python, machine learning, data analysis, and model development, with a valuable understanding of AI technologies and exposure to deploying models in real-world applications.

This role requires a combination of technical expertise, analytical thinking, problem-solving, and collaboration to develop scalable and impactful data-driven solutions.

Key Responsibilities

• Develop, train, and optimize Machine Learning and AI models for real-world business applications

- Perform data collection, cleaning, preprocessing, exploratory data analysis, and feature engineering
- Apply appropriate machine learning algorithms to solve business and analytical problems

• Build and evaluate classification, regression, clustering, and predictive models

• Work with large and complex datasets to identify patterns, trends, and actionable insights

• Perform model evaluation, error analysis, and hyperparameter tuning to improve model performance

• Develop solutions using Python and popular Data Science/ML libraries

• Collaborate with business stakeholders, software developers, and data engineers to understand requirements and deliver AI/ML solutions

• Assist in the deployment and integration of ML models into production environments

- Follow best practices for coding, experimentation, documentation, version control, and model development





• Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, Generative AI, and Data Science

• Contribute to continuous improvement of existing models and data-driven solutions

Required Skills

• 2–3 years of hands-on experience in Data Science, AI, or Machine Learning

• Strong programming skills in Python

• Good hands-on experience with NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn

• Strong understanding of Machine Learning algorithms, Statistics, and Data Modeling

• Experience with regression, classification, clustering, and predictive modeling techniques

• Good understanding of data preprocessing, feature engineering, model selection, and model evaluation

• Strong knowledge of SQL and database concepts

• Experience with Git/GitHub and version control practices

• Understanding of Deep Learning concepts and frameworks such as TensorFlow or PyTorch

• Basic understanding of model deployment and production ML workflows

• Good analytical, problem-solving, and decision-making abilities

• Strong communication and collaboration skills

AI/ML – Good to Have

• Exposure to Generative AI and Large Language Models (LLMs)

• Basic knowledge of NLP, Prompt Engineering, and RAG

• Experience working with OpenAI, Gemini, Hugging Face, or similar AI APIs/models

• Familiarity with LangChain or LlamaIndex

• Exposure to Docker, MLflow, MLOps, or cloud platforms such as AWS, Azure, or GCP

• Experience working on end-to-end AI/ML projects from data preparation to deployment

📌 Data Scientist (Surat)
🏢 Nexuslink Services India
📍 Surat