AI/ML Engineer
12 hours ago
About the Role
We are looking for a skilled and passionate AI/ML Engineer with hands-on experience in Machine Learning, NLP, Python, and MLOps to join our technology team. The ideal candidate will be responsible for designing, developing, deploying, and optimizing robust AI/ML models that drive business insights and automation initiatives across the organization. This is an onsite role requiring strong technical abilities, problem-solving skills, and collaboration with cross-functional teams.
Key Responsibilities
AI/ML Model Development
- Design, develop, and deploy ML models for classification, regression, prediction, and NLP-based solutions.
- Work on end-to-end model lifecycle: data exploration, feature engineering, model training, hyperparameter tuning, validation, and deployment.
- Build NLP-based solutions such as text classification, sentiment analysis, entity extraction, topic modelling, LLM fine-tuning, and conversational AI applications.
- Collaborate with data engineering teams to define data pipelines and integrate models into production environments.
MLOps & Deployment
- Implement and manage MLOps pipelines for CI/CD, model versioning, monitoring, and automated re-training.
- Automate model deployment using tools like MLflow, Kubeflow, Airflow, SageMaker, or Vertex AI.
- Ensure scalability, reliability, and maintainability of ML systems in production.
- Monitor model performance, data drift, and concept drift; manage iterative improvements.
Programming & Engineering
- Develop clean, production-ready code using Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Build APIs and microservices to expose ML capabilities using Flask, FastAPI, or Django.
- Collaborate with backend, data engineering, and DevOps teams to operationalize AI/ML solutions.
Data & Research
- Work with large structured and unstructured datasets, including text-heavy datasets.
- Perform EDA, statistical analysis, and data visualization.
- Stay updated with advancements in AI/ML, NLP, transformers, LLMs, and generative AI.
- Evaluate emerging technologies and contribute to POCs and innovation initiatives.
Good to Have (Optional)
- Experience with LLM fine-tuning, prompt engineering, or generative AI.
- Exposure to vector databases (Pinecone, FAISS, Weaviate).
- Experience with real-time ML systems and streaming data tools (Kafka, Spark).
- Knowledge of A/B testing, experimentation frameworks, and performance optimization.
- Understanding of model governance, interpretability, and responsible AI.
Soft Skills
- Excellent verbal and written communication skills.
- 5 years of IT experience, with at least 3 years in AI/ML domain.
- Ability to collaborate with cross-functional teams and present technical concepts clearly.
- Self-driven, curious, and passionate about building scalable AI solutions.
Strong ownership mindset and ability to work independently onsite.
Job Types: Full-time, Permanent
Pay: ₹800, ₹1,500,000.00 per year
Benefits:
- Health insurance
- Paid sick time
- Paid time off
Work Location: In person
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