A technology consulting firm in Pune is looking for a data scientist to execute AI and ML projects. The role involves developing ML models and deploying innovative solutions such as chatbots. Candidates should hold a relevant degree and have 1-3 years of experience in data science or machine learning. Proficiency in Python and SQL is essential, along with strong analytical and problem-solving skills.
Qualifications
1-3 years of experience in data science, machine learning, or AI-related roles.
Hands-on experience with ML model development and deployment.
Exposure to GenAI technologies, including LLMs and chatbot development.
Responsibilities
Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation.
Develop and refine ML models, including supervised and unsupervised learning algorithms.
Build and deploy GenAI solutions, such as LLMs and chatbots.
Conduct exploratory data analysis (EDA) to uncover insights.
Monitor GenAI outputs for issues such as bias and accuracy.
Skills
Python
SQL
Machine Learning
Data Visualization
Analytical skills
Problem-solving
Education
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
Tools
scikit-learn
TensorFlow
PyTorch
MLflow
Airflow
Job description
Responsibilities
Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation.
Develop and refine ML models, including supervised and unsupervised learning algorithms.
Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots.
Data Handling & Preprocessing: Collect, clean, and preprocess data to ensure quality inputs for model training.
Conduct exploratory data analysis (EDA) to uncover insights and inform model development.
Work with Data Engineers to ensure smooth data pipelines and infrastructure.
Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results.
Monitor GenAI outputs for issues such as bias, hallucinations, and accuracy.
Implement feedback loops for continuous model improvement.
Work closely with the AI Lead and cross-functional teams to align projects with business objectives.
Document model development processes, code, and findings for transparency and reproducibility.
Contribute to the development of best practices and playbooks for AI and ML solutions.
Education
Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field.
Experience
1-3 years of experience in data science, machine learning, or AI-related roles.
Hands-on experience with ML model development and deployment.
Exposure to GenAI technologies, including LLMs and chatbot development, is a plus.
Technical Skills
Proficient in Python and SQL for data manipulation and model development.
Familiarity with ML frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch.
Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques.
Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage.
Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus.
Soft Skills
Strong analytical and problem-solving skills.
Eagerness to learn and adapt in a fast-paced, evolving environment.
Detail-oriented with a focus on delivering high-quality work.