Machine Learning (ML) Engineer

Overview

Role: Machine Learning (ML) Engineer

Company: Maverick Solutions
Location: JP Nagar, Bangalore
Work Mode: Hybrid (4 days WFO)
Employment Type: Permanent
Interview Process: Virtual (3–4 rounds)
Experience Required: 2–8 years
Salary Range: ₹6–24 LPA

Job Description:

As an ML Engineer at Maverick Solutions, you will design, develop, and deploy machine learning models to solve real-world problems. You will collaborate with data scientists, software engineers, and business teams to integrate AI-driven solutions into production systems.

Key Responsibilities:

• Model Development & Deployment:
• Design, build, and optimize ML models for scalability and accuracy.
• Deploy models using MLOps tools (e.g., MLflow, Kubeflow) and cloud platforms (AWS, Azure, GCP).
• Monitor and retrain models to ensure performance in production.
• Data Engineering:
• Clean, preprocess, and analyze structured/unstructured data (SQL, Pandas, NumPy).
• Implement feature engineering and selection techniques.
• Algorithm Implementation:
• Develop models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Optimize hyperparameters and conduct A/B testing.
• Software Integration:
• Build ML pipelines for automation and write production-grade code in Python/Java.
• Integrate models into applications via REST APIs or cloud services (AWS Lambda, Azure Functions).
• Collaboration:
• Work with cross-functional teams to align solutions with business goals.
• Document processes and present technical insights to non-technical stakeholders.

Required Skills:

• Technical:
• Python/R/Java, TensorFlow/PyTorch, SQL, Pandas/NumPy, cloud platforms (AWS/GCP/Azure).
• Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps.
• Mathematical:
• Strong grasp of statistics, linear algebra, and ML algorithms (e.g., regression, clustering, neural networks).
• Soft Skills:
• Problem-solving, communication, and adaptability to new tools/technologies

Job Types: Full-time, Permanent

Pay: ₹578,306.77 - ₹1,930,731.24 per year

Benefits:

• Health insurance
• Paid sick time
• Provident Fund

Schedule:

• Day shift
• Monday to Friday
• Morning shift

Supplemental Pay:

• Performance bonus

Ability to commute/relocate:

• Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• What is your notice period in days?

Experience:

• o Python/R/Java, TensorFlow/PyTorch, SQL, Pandas/NumPy: 2 years (Required)

Work Location: In person