Data Scientist

Enterprise Minds, Inc; India; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

Enterprise Minds, Inc. seeks a highly skilled Data Scientist to design, develop, and deploy advanced ML solutions that tackle complex business challenges.

You will collaborate with Data Engineers, Product Managers, and Software Developers to bring AI-powered features into production-ready systems. Responsibilities include building models for NLP and computer vision, data preparation, deploying via APIs on cloud platforms, monitoring performance, retraining as needed, and partnering with product

Qualifications

• 7–10 years of hands-on AI/ML development and deployment experience.
• Proficiency in Python (pandas, NumPy, scikit-learn) and at least one deep learning framework (TensorFlow or PyTorch).
• Strong knowledge of ML methods (regression, classification, clustering, CNNs, RNNs) and statistical concepts.
• Experience deploying ML models in production and building RESTful APIs; familiarity with cloud platforms (AWS/Azure/GCP).
• Background in data engineering concepts (ETL, SQL/NoSQL).

Responsibilities

• Design, train, and optimize ML and DL models for real-world applications.
• Prepare data and engineer features from large-scale datasets.
• Package models as APIs or services and deploy to the cloud.
• Monitor model performance and retrain as needed.
• Collaborate with product and engineering teams to translate requirements.

Skills

Python

Pandas

NumPy

scikit-learn

TensorFlow

PyTorch

NLP

Computer Vision

ML Deployment

REST APIs

Docker

Kubernetes

Spark

ETL

Education

Master's degree in Computer Science / Data Science

Tools

Docker

Kubernetes

Spark

Hadoop

Job description

We’re looking for a highly skilled Data Scientist to design, develop, and deploy advanced machine learning solutions that solve complex business challenges. You’ll work closely with cross-functional teams—Data Engineers, Product Managers, and Software Developers—to bring AI-powered features and insights into production-ready systems.

Key Responsibilities

• Design & Develop ML Models: Build, train, and optimize machine learning and deep learning models for real-world applications (e.g., NLP, computer vision, recommendation systems).
• Data Preparation & Feature Engineering: Collect, clean, and preprocess large-scale datasets for model development.
• Deployment & Integration: Package models into APIs or services, deploy to cloud platforms (AWS, Azure, GCP), and ensure scalability and reliability.
• Monitor & Maintain Models: Track model performance in production, retrain as needed, and manage version control.
• Collaboration: Partner with product and engineering teams to translate business requirements into technical solutions.
• Innovation: Research and implement cutting-edge ML algorithms and tools to improve existing processes and products.
• Transformers, Agentic AI, RAG, Advance RAG, Deep learning basics, Python

Required Skills & Experience

• 7-10 years of experience in AI/ML development and deployment.
• Proficiency in Python (pandas, NumPy, scikit-learn) and at least one deep learning framework (TensorFlow or PyTorch).
• Strong understanding of algorithms, statistics, and machine learning techniques (e.g., regression, classification, clustering, CNNs, RNNs).
• Experience with cloud platforms (AWS SageMaker, Azure ML, or GCP AI Platform).
• Familiarity with data engineering concepts (ETL, data pipelines, SQL/NoSQL databases).
• Hands-on experience deploying ML models in production environments (e.g., REST APIs, Docker, Kubernetes).
• Solid problem-solving skills and the ability to work in an agile, fast-paced environment.
• Preferred Qualifications
• Exposure to MLOps practices (CI/CD for ML, model monitoring, automated retraining).
• Experience with natural language processing (NLP) or computer vision projects.
• Knowledge of big data tools like Spark or Hadoop.
• Master’s degree in Computer Science, Data Science, or a related field.