Data Scientist-Machine Learning

Job Title: Data Scientist-Machine Learning
Experience: 2-4 yrs
Job Type: Full-Time (On-Site)
Location: Delhi

To Apply kindly fill this form - https://forms.gle/dtiWvAYHHzyUhS6ZA

FloData Analytics is hiring a skilled Data Scientist with 2+ years of experience to build and deploy production-ready ML and Generative AI solutions across machine learning, deep learning, computer vision, and LLM-based systems. The role involves end-to-end ownership of model development, deployment, data pipelines, and basic MLOps, along with close collaboration on client-facing international projects. We are looking for a technically strong professional with hands-on experience and a disciplined approach to building scalable, high-quality solutions.

Key Responsibilities

• Design, develop, and train machine learning and deep learning models to solve business problems
• Build and optimize CNN-based computer vision solutions
• Develop Generative AI and LLM-based applications (prompting, RAG, etc.)
• Deploy ML models to production using basic MLOps and CI/CD practices
• Build and maintain data pipelines, APIs, and deployment workflows
• Monitor model performance and perform optimization and retraining
• Collaborate with internal teams and clients, and clearly communicate results to stakeholders

Qualification & Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• 1–2 years of hands-on experience in Machine Learning with exposure to model deployment
• Strong understanding of supervised and unsupervised learning techniques
• Experience with deep learning frameworks (TensorFlow or PyTorch), including CNNs
• Hands-on exposure to Generative AI, LLMs, prompt engineering, and RAG concepts
• Proficiency in Python, data science libraries, SQL, and version control (Git/GitHub)
• Basic experience with APIs (FastAPI/Flask), Docker, cloud platforms, and MLOps practices, along with end-to-end ML project exposure

Good-to-Have Requirements

• Experience with NLP, time series forecasting, or anomaly detection
• Familiarity with MLOps and distributed computing tools (MLflow, Spark, Dask)
• Exposure to model explainability techniques or contributions to open-source/research work.

Job Types: Full-time, Permanent

Pay: ₹500,000.00 - ₹800,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Work Location: In person