Machine Learning Engineer

Total Experience - 7 Years-12 Years

Location-Chennai (Preferred), Bangalore and Hyderabad

Below is the Job Description:

We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data science, machine learning algorithms, and software engineering, with a passion for solving real-world problems using AI.

Key Responsibilities

• Design and develop scalable machine learning models and AI solutions
• Work on data preprocessing, feature engineering, and model selection
• Build and deploy ML pipelines in production environments
• Collaborate with cross-functional teams including product, engineering, and data teams
• Optimize models for performance, scalability, and accuracy
• Work with large datasets and ensure data quality and integrity
• Stay updated with the latest advancements in AI/ML technologies

Required Skills & Qualifications

• Strong programming skills in Python (mandatory)
• Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
• Good understanding of machine learning algorithms (supervised & unsupervised learning)
• Experience with data manipulation tools like Pandas, NumPy
• Knowledge of deep learning, NLP, or computer vision (preferred based on role)
• Experience with cloud platforms like AWS, Azure, or GCP
• Familiarity with APIs, microservices, and model deployment
• Strong problem-solving and analytical skills

Good to Have

• Experience with MLOps tools (MLflow, Kubeflow, Airflow)
• Knowledge of LLMs, Generative AI, or Chatbot development
• Exposure to Docker, Kubernetes
• Experience working in Agile environments

Educational Qualification

• Bachelor's or Master's degree (Engineering) in Computer Science, Data Science, AI, or related field

Why Join Us

• Opportunity to work on cutting-edge AI technologies
• Collaborative and innovation-driven environment
• Career growth and learning opportunities

Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central, and Eastern Europe. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.

To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.