Senior AI/ML Engineer
- India
نُشرت قبل 7 أيام
عن الوظيفة
Job Title - Senior AI/ML Engineer
Location - Coimbatore
Experience - 5+ Years Experience
mail: Manikandan.v@cognitica.ai
Job Summary:
We are looking for an experienced AI/ML & Data Engineering Specialist to design, build, and deploy scalable machine learning solutions across MedTech, Pharmaceutical, and advanced manufacturing environments.
This role blends machine learning, time-series analytics, data engineering, and MLOps, working closely with business analysts and domain experts to convert operational workflows into production-ready ML systems.
Key Responsibilities:
-Build and maintain data ingestion pipelines for time-series and operational data
-Develop feature engineering layers and feature stores
Implement ML models for:
-Anomaly detection & behavior profiling
-Forecasting, regression, and classification
-Time-series deep learning (LSTM, GRU, CNN, TCN, Autoencoders)
-Create reusable ML frameworks and blueprints for multi-site scalability
-Deploy models using Docker, CI/CD pipelines, and cloud/on-prem environments
-Monitor model performance, drift, and retraining workflows
-Collaborate with BAs and domain SMEs to translate business needs into ML solutions
Required Skills & Experience
-5+ years of experience in AI/ML & Data Engineering
-Strong Python (Pandas, NumPy, Scikit-learn)
-Deep Learning using TensorFlow or PyTorch
-Expertise in time-series modeling and feature engineering
-Experience with ETL/ELT pipelines, Docker, Git, CI/CD
-Cloud exposure (Azure/AWS) and hybrid deployments
-API development (FastAPI preferred)
-Strong analytical skills and ability to work with ambiguous or evolving data
Preferred
-Experience in MedTech, Pharma, or regulated manufacturing
-Knowledge of GxP, ISO 13485, CSV, validation documentation
-Familiarity with MES, QMS, historians, or industrial data
-Experience with predictive maintenance or operational analytics
Pay: ₹40,000.00 - ₹120,000.00 per month
Benefits:
- Health insurance
- Leave encashment
- Paid sick time
- Provident Fund
Work Location: In person