Data Science Engineer

HCLTech is hiring Machine Learning Engineer.

Job Title :

Machine Learning Engineer / Data Scientist / Data Analyst

Job Overview :

We are seeking a skilled Machine Learning Engineer , Data Scientist , or Data Analyst to design, develop, and deploy machine learning models, conduct deep data analysis, and generate actionable insights. The ideal candidate will have experience in data preprocessing, feature engineering, model development, and performance optimization, working with large datasets and leveraging advanced machine learning frameworks.

Key Responsibilities :

• Data Preparation & Analysis :
• Gather, clean, and preprocess structured, semi-structured, and unstructured data from various sources.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and outliers.
• Apply data wrangling techniques using Pandas , NumPy , and SQL to transform raw data into usable formats.
• Use statistical analysis to drive data-driven decision-making.
• Machine Learning Model Development :
• Build, train, and fine-tune machine learning models using Scikit-learn , TensorFlow , Keras , or PyTorch .
• Develop predictive models, classification algorithms, clustering models, and recommendation systems.
• Conduct hyperparameter optimization using techniques like grid search or random search.
• Model Evaluation & Optimization :
• Evaluate model performance using metrics such as Accuracy , Precision , Recall , F1-Score , AUC-ROC , Confusion Matrix , and Cross-validation .
• Improve model performance through techniques such as feature engineering, data augmentation, and regularization.
• Deploy models into production environments, and monitor performance for continual improvement.
• Data Visualization & Reporting :
• Develop dashboards and reports using Tableau , Power BI , Matplotlib , Seaborn , or Plotly .
• Present findings through clear visualizations and actionable insights to non-technical stakeholders.
• Write detailed reports on data analysis and machine learning results, ensuring transparency and reproducibility.
• Collaboration & Stakeholder Communication :
• Work closely with cross-functional teams (e.G., engineering, product, business) to define data-driven solutions.
• Communicate technical concepts clearly to non-technical stakeholders and provide insights that influence product and business strategy.
• Data Pipeline & Automation :
• Design and implement scalable data pipelines for model training and deployment using Airflow , Apache Kafka , or Celery .
• Automate data collection, preprocessing, and feature extraction tasks.
• Research & Continuous Learning :
• Stay up-to-date with the latest trends in machine learning, deep learning, and data science methodologies.
• Explore new tools, techniques, and frameworks to improve model accuracy and efficiency.

Required Skills :

5+yrs of experience in below mentioned skills :

Desirable Skills :

Tools & Technologies :