Machine Learning Engineer

Job Title: Machine Learning Engineer

Location: Hybrid- Bengaluru

Employment Type: Permanent with VDart Digital

Note: Immediate joiners preferred

Job Summary:

We are seeking a Machine Learning Engineer with hands-on experience in designing, developing, and deploying ML models for real-world use cases. The ideal candidate will have strong coding skills, deep understanding of machine learning workflows, and the ability to integrate AI solutions into production environments.

Key Responsibilities:

• Identify and define machine learning use cases across business domains (e.g., prediction, classification, recommendation, NLP, computer vision).
• Design and implement end-to-end ML workflows, from data ingestion and feature engineering to model training, evaluation, and deployment.
• Develop reusable and scalable ML pipelines using tools such as MLflow, Airflow, Kubeflow, or Vertex AI.
• Write efficient and maintainable Python code leveraging frameworks such as TensorFlow, PyTorch, Scikit-learn, and FastAPI.
• Perform data analysis, preprocessing, and feature extraction using Pandas, NumPy, and SQL.
• Implement model monitoring, versioning, and retraining workflows to ensure continuous model improvement.
• Collaborate with data engineers, product managers, and software developers to integrate ML solutions into production systems.
• Document experiments, code, and workflows to ensure reproducibility and scalability.

Required Skills

• 7+ years of experience in an AI / ML-related role.
• Proficiency in Python and experience building ML pipelines and scalable AI systems.
• Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, and Deep Learning preferred
• Demonstrated prior experience in productionizing the ML models and experience with MLOps platforms like Datarobot, Azure, Abacus.ai
• Strong experience with SQL, knowledge of database structures.
• Experience with data visualisation tools such as Tableau, Power BI, or similar.
• Demonstrated prior experience in NLP, large language models, or generative AI
• Familiarity with cloud services like AWS, Google Cloud, or Azure