Machine Learning Engineer

CLEAR DEMAND Inc.; Chennai District; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

A leading tech company in Chennai is seeking a Machine Learning Engineer to design, develop, and optimize machine learning models. The role involves translating business needs into well-defined ML problems, performing exploratory data analysis, and deploying ML systems in production. Candidates should have a B.Tech or M.S. in a relevant field, and experience with ML frameworks like PyTorch or TensorFlow. Strong coding skills and familiarity with cloud platforms are also essential.

Qualifications

• Hands-on experience with machine learning frameworks through projects or internships.
• Proficiency in data manipulation, analysis, and transformation.
• Familiarity with cloud platforms including deployment workflows.

Responsibilities

• Translate business needs into ML problems through statistical analysis.
• Perform in-depth exploratory analysis on large datasets.
• Design, train, and optimize machine learning models.
• Deploy and maintain ML systems in production environments.
• Stay updated with advancements in ML research and tools.

Skills

Machine Learning Frameworks (PyTorch, TensorFlow)

Data Analysis (SQL, PySpark, Pandas)

Software Engineering

Cloud Services (AWS, Azure, GCP)

Mathematics for ML

Education

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

Job description

# Machine Learning EngineerChennai, Tamil NaduWork Type:Full Time**\*\*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.