Machine Learning Engineer

Clear Demand Inc; Chennai District; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Clear Demand Inc is seeking a Machine Learning Engineer in Chennai to lead initiatives in ML model development. The successful candidate will partner with product teams to translate business needs into ML problems while ensuring high-quality feature engineering.

Applicants should hold a B.Tech or M.S. in a relevant field and possess hands-on experience with leading ML frameworks like PyTorch or TensorFlow. This role offers opportunities to deploy scalable ML systems and continuously improve model efficiency.

Qualifications

• Experience with ML frameworks such as PyTorch or TensorFlow.
• Strong coding and testing standards.
• Proficiency in SQL, PySpark, or Pandas.
• Familiarity with AWS, Azure, or GCP.

Responsibilities

• Translate business needs into ML problems through statistical analysis.
• Perform in-depth exploratory analysis on large datasets.
• Design, train, validate, and optimize ML models.
• Build, deploy, and maintain scalable ML systems.

Skills

Machine Learning Expertise

Software Engineering Excellence

Data Analysis & Engineering

Cloud & MLOps Exposure

Analytical & Problem-Solving Skills

Education

B.Tech or M.S. in Computer Science, Data Science or related field

Tools

PyTorch

TensorFlow

SQL

PySpark

Pandas

Job description

**Responsibilities**

• Requirement Analysis: Partner with product and business teams to translate ambiguous business needs into well-defined ML problems through data-driven statistical analysis.
• Exploratory Data Analysis (EDA): Perform in-depth exploratory analysis on large-scale datasets to understand data distributions, identify patterns and anomalies, and present findings using clear, insightful visualizations.
• Data Insights & Feature Engineering: Analyze and extract key signals from massive datasets, engineer high-quality features, and collaborate with labeling teams to curate accurate ground-truth data.
• Model Development & Optimization: Design, train, validate, and optimize machine learning and deep learning models (e.g., for image and text processing) to deliver high-performing, production-ready solutions.
• Production Deployment: Build, deploy, and maintain scalable, reliable, and high-performance ML systems in production environments, ensuring ongoing monitoring, retraining, and performance tuning.
• Continuous Improvement: Stay current with advancements in machine learning research, tools, and frameworks to continually enhance model accuracy, efficiency, and scalability.

**Skills Required:**

• Educational Background: B.Tech or M.S. in Computer Science, Data Science, or a related field from a reputed institution, with a strong focus on practical delivery and applied problem-solving.
• Machine Learning Expertise: Hands-on experience with leading ML frameworks such as PyTorch or TensorFlow, gained through academic projects, internships, or competitive platforms like Kaggle.
• Software Engineering Excellence: Demonstrated ability to write clean, efficient, and production-quality code, adhering to high coding and testing standards.
• Data Analysis & Engineering: Proficiency in data manipulation, analysis, and transformation using tools such as SQL, PySpark, or Pandas.
• Cloud & MLOps Exposure: Familiarity with machine learning and data services on cloud platforms (AWS, Azure, or GCP), including experience with data pipelines and deployment workflows.
• Core Computer Science Foundations: Solid understanding of computer architecture, operating systems, data structures, and algorithms.
• Advanced ML Knowledge (Preferred): Understanding of Transformer architectures, their underlying mathematics, and internal mechanisms is a strong plus.
• Analytical & Problem-Solving Skills: Strong ability to approach open-ended problems with curiosity, analytical rigor, and a data-driven mindset.