Data Science Engineer (AI)

Consilium Software Inc; New Delhi; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Consilium Software Inc. in Delhi seeks a Data Science Engineer (AI) with 0–3 years of hands-on experience to design, deploy, and optimize ML-driven solutions for real-world business needs.

The role collaborates with product and engineering teams to transform data into scalable AI models, build data pipelines, monitor performance, and document methodologies for stakeholders, while leveraging cloud platforms and modern ML frameworks.

Qualifications

• 0–3 years of experience in Data Science, Machine Learning, or AI Engineering.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Solid understanding of statistics, probability, and linear algebra.
• Experience with SQL and relational databases.
• Hands-on experience with data visualization tools (Matplotlib, Seaborn, Power BI, or Tableau).
• Familiarity with REST APIs and model integration.
• Knowledge of NLP or Speech Analytics is a plus.
• Experience with cloud platforms (AWS / Azure / GCP) is an advantage.

Responsibilities

• Design, develop, and deploy machine learning and AI models for real-world business problems.
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and optimize predictive, classification, NLP, or recommendation models.
• Develop data pipelines for model training, evaluation, and deployment.
• Collaborate with software engineers to productionize models (MLOps).
• Monitor model performance, accuracy, drift, and scalability.
• Translate business requirements into data-driven solutions.
• Document models, methodologies, and findings for stakeholders.

Skills

Python

ML frameworks

Statistics & Linear Algebra

SQL

Data Visualization

REST APIs

NLP / Speech Analytics

Cloud Platforms (AWS/Azure/GCP)

MLOps

Tools

TensorFlow

PyTorch

Power BI

Tableau

Job description

Role Overview

We are looking for a Data Science Engineer (AI) with 0–3 years of hands‑on experience in building, deploying, and optimizing machine learning and AI-driven solutions. You will work closely with product, engineering, and business teams to transform data into actionable insights and scalable AI models.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models for real‑world business problems
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA)
• Build and optimize predictive, classification, NLP, or recommendation models
• Develop data pipelines for model training, evaluation, and deployment
• Collaborate with software engineers to productionize models (MLOps)
• Monitor model performance, accuracy, drift, and scalability
• Translate business requirements into data-driven solutions
• Document models, methodologies, and findings for stakeholders

Required Skills & Qualifications

• 0–3 years of experience in Data Science, Machine Learning, or AI Engineering
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn)
• Experience with ML frameworks such as TensorFlow or PyTorch
• Solid understanding of statistics, probability, and linear algebra
• Experience working with SQL and relational databases
• Hands‑on experience with data visualization tools (Matplotlib, Seaborn, Power BI, or Tableau)
• Familiarity with REST APIs and model integration
• Knowledge of NLP or Speech Analytics is a plus
• Experience with cloud platforms (AWS / Azure / GCP) is an advantage

Preferred / Nice to Have

• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Docker)
• Experience in real‑time analytics or streaming data
• Knowledge of AI ethics, bias, and model explainability
• Experience in contact center analytics, speech intelligence, or CX AI

What We Offer

• Opportunity to work on AI-driven, enterprise-scale products
• Collaborative, innovation-focused work environment
• Learning and growth opportunities in AI, data science, and cloud technologies
• Competitive compensation and benefits