Machine Learning Engineer

TATA Consulting Services • Napa, CA

76d • $90,000 - $140,000

About The Position

Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data. Work with large-scale sensor data from connected devices to build predictive models, anomaly detection systems, and real-time decision-making algorithms. The ideal candidate should have a strong background in signal processing, deep learning, edge AI, time-series analysis, and ML model deployment in IoT environments. Investigate state-of-the-art ML/DL techniques analysis. Develop novel approaches for unsupervised/semi-supervised learning in low-label IoT environments. Explore federated learning, continual learning, and reinforcement learning for adaptive IoT systems.

Requirements

• Strong background in signal processing.
• Experience in deep learning and edge AI.
• Proficiency in time-series analysis.
• Experience with ML model deployment in IoT environments.
• Proficiency in Python, TensorFlow/PyTorch, and scikit-learn.
• Experience with signal processing libraries (SciPy, librosa, PyWavelets).
• Familiarity with IoT protocols (MQTT, CoAP) and edge computing.

Responsibilities

• Develop and deploy machine learning models for IoT signal data.
• Build predictive models and anomaly detection systems.
• Create real-time decision-making algorithms.
• Investigate state-of-the-art ML/DL techniques.
• Develop novel approaches for unsupervised/semi-supervised learning in low-label IoT environments.
• Explore federated learning, continual learning, and reinforcement learning for adaptive IoT systems.

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 5,001-10,000 employees