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Clear Demand Inc is showing limited hiring activity lately. Expect slight delayed response.

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Window passed - posted 101d ago

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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.

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Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.

Alerts as often as hourly. Reach new roles while the pile is still small.

Skill gaps, spelled out. See exactly which requirements you don't meet yet.

Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

Machine Learning Engineer

What we know about this role

Skills required

Job description

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Someone shared one job with you. ASAI keeps finding the rest.