Machine Learning Engineer

1 week ago

Cyberabad Hyderabad Telangana, India Violetis® Full time ₹ 12,00,000 - ₹ 20,00,000 per year

Location: India

Experience: 4-6 Years

About the Role

We are looking for a highly skilled Machine Learning Engineer to join our team and contribute to building intelligent, scalable, and production-ready AI solutions across our products. The ideal candidate will have hands-on experience with developing ML models, working with large datasets, and deploying AI-driven features into real-world applications.

Key Responsibilities:

  • Develop, train, and optimize machine learning models for various product use cases (recommendation systems, NLP features, predictive analytics,classification models, etc.).
  • Implement end-to-end ML pipelines—from data preprocessing to model training, evaluation, deployment, and monitoring.
  • Work closely with backend, product, and data teams to integrate ML solutions into production.
  • Improve existing AI features like candidate job matching, smart sourcing, automated job applications, CV parsing, and intelligent chat interactions.
  • Conduct A/B testing and model performance evaluation to ensure high accuracy and reliability.
  • Research and experiment with new algorithms, frameworks, and AI advancements to enhance product capabilities.
  • Optimize models for efficiency, scalability, and low-latency real-time performance.
  • Maintain clear documentation and follow best coding, security, and data-handling practices.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
  • 3+ years of hands-on experience in ML model development and deployment.
  • Strong proficiency in Python and ML/data libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
  • Experience with NLP libraries (Transformers, spaCy, NLTK) is a strong advantage.
  • Solid understanding of data structures, algorithms, probability, and statistics.
  • Experience building and using APIs for inference (FastAPI, Flask, etc.).
  • Knowledge of cloud services (AWS/GCP/Azure) and containerization (Docker).
  • Experience with vector databases, embeddings, or LLM-based applications is a plus.
  • Familiarity with MLOps tools such as MLflow, SageMaker, Kubeflow, or similar.

Preferred Qualifications:

  • Experience with recommendation engines or talent-matching systems.
  • Understanding of prompt engineering and LLM fine-tuning.
  • Experience in deploying AI-powered features in production environments.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Ability to work independently and in a fast-paced environment.
  • Excellent communication and documentation skills.
  • Strong ownership mentality and focus on delivery.

Job Types: Full-time, Permanent, Internship

Pay: Up to ₹2,000,000.00 per year

Benefits:

  • Flexible schedule
  • Paid sick time
  • Paid time off
  • Work from home

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