ML Engineer

Company Description

Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI

solutions. Our streamlined approach to development ensures high -quality results and client

satisfaction. We bring experience and clarity to organizations, powering every human decision

with analytics & AI. Our team consists of statisticians, computer science engineers, data

scientists, and product managers. With expertise, flexibility, and cultural alignment, we

understand the business, analytics, and data management imperatives of your organization.

Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that

matter. We provide best-in-class services that increase profit for businesses and deliver

improved value for customers, helping businesses grow, transform, and achieve their

objectives.

Job Details

Position: ML Engineer

Experience: 6-8 years

Budget: 25 LPA to 28 LPA

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, LLM, MLOps 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.
  
  

Skills: python,ml platforms,mlops, mlflow,machine learning,pyspark