Machine Learning Specialist - Product Engineering Company

Prajava Technologies

4 - 8 years

25 - 35 Lacs

Hyderabad

Posted:2 days ago| Platform:

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Skills Required

Pytorch Tensorflow R Python SQL

Work Mode

Hybrid

Job Type

Full Time

Job Description

Machine Learning Specialist

Key Responsibilities:

Design, develop, and deploy machine learning models to forecast clinical supply needs, optimize inventory, and reduce waste.
Collaborate with clinical operations, supply chain, and IT teams to identify data sources and integrate ML solutions into existing workflows.
Analyze large datasets from clinical trials, logistics systems, and external sources to uncover trends and actionable insights.
Develop tools and dashboards to support real-time decision-making and scenario planning.
Ensure model performance, scalability, and compliance with regulatory standards (e.g., GxP, 21 CFR Part 11).
Stay current with advancements in ML/AI and apply best practices to clinical supply chain challenges.

Qualifications:

Masters or PhD in Computer Science, Data Science, Engineering, or a related field.
3+ years of experience in machine learning, data science, or AI, preferably in a healthcare or life sciences setting.
Hands-on experience with clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning.
Proficiency in Python, R, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Strong understanding of statistical modeling, time series forecasting, and optimization techniques.
Excellent communication skills and ability to work cross-functionally in a fast-paced environment.

Preferred:

Experience with clinical trial data (e.g., EDC, CTMS, IRT).
Familiarity with regulatory requirements in clinical research.
Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.

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