Machine Learning Engineer

Job Details:

Position: ML Engineer

Experience: 7-10 years

Work Mode: Remote

Notice Period: Immediate Joiner – 15 days

Job Summary:

We are looking for highly motivated and experienced Machine Learning Engineers to join our

advanced analytics and AI team. The ideal candidates will have strong proficiency in building,

training, and deploying machine learning models at scale using modern ML tools and

frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging

Face Transformers is highly desirable

Must Have: DevOps tools, Python and Excellent Communication

Key Responsibilities:

• Design, develop, and deploy machine learning models for real-world applications.

• Implement and optimize end-to-end ML pipelines using PySpark and MLflow.

• Work with structured and unstructured data using Pandas, NumPy, and other data processing

libraries.

• Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch.

• Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT,

Hugging Face Transformers, etc.

• Collaborate with cross-functional teams including data engineers, product managers, and

software developers.

• Monitor model performance and continuously improve model accuracy and reliability.

• Maintain proper versioning and reproducibility of ML experiments using MLflow

Required Skills:

• Strong programming experience in Python.

• Solid understanding of machine learning algorithms, model development, and evaluation

techniques.

• Experience with PySpark for large-scale data processing.

• Proficient with MLflow for tracking experiments and model lifecycle management.

• Hands-on experience with Pandas, NumPy, and Scikit-learn.

• Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers).

• Understanding of MLOps principles and deployment best practices

Preferred Qualifications:

• Bachelor’s or master's degree in computer science, AI/ML, Data Science, or a related field.

• Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus

• Strong analytical and problem-solving abilities.

• Excellent communication and teamwork skills.