About the Role
We are looking for a motivated Junior AI/ML Engineer with 1+ years of hands-on experience in developing, deploying, and maintaining machine learning solutions. The ideal candidate should have a strong foundation in machine learning concepts, data processing, and software development, with a passion for solving real-world problems using AI technologies.
Key Responsibilities:
- Develop, train, evaluate, and optimize machine learning models for business applications.
- Collaborate with data scientists, software engineers, and product teams to deliver AI-driven solutions.
- Perform data collection, preprocessing, feature engineering, and exploratory data analysis.
- Implement and maintain ML pipelines for model training, validation, and deployment.
- Deploy machine learning models into production environments and monitor their performance.
- Work with large datasets and databases to extract insights and support model development.
- Research and experiment with new AI/ML techniques, tools, and frameworks.
- Document models, processes, and technical solutions for knowledge sharing and compliance.
- Troubleshoot and improve existing AI/ML systems for scalability and efficiency.
Required Qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field.
- 1+ years of professional experience in Machine Learning, Artificial Intelligence, or Data Science.
- Strong programming skills in Python.
- Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.
- Knowledge of data manipulation and analysis using Pandas, NumPy, and SQL.
- Understanding of supervised and unsupervised learning algorithms.
- Familiarity with model evaluation techniques and performance metrics.
- Experience with version control systems such as Git.
- Basic understanding of cloud platforms (AWS, Azure, or GCP) and MLOps concepts.
- Strong analytical, problem-solving, and communication skills.
Additional Qualifications:
- Experience working with Generative AI, Large Language Models (LLMs), or Natural Language Processing (NLP).
- Familiarity with frameworks such as LangChain, LlamaIndex, or similar AI orchestration tools.
- Exposure to containerization technologies such as Docker and orchestration tools like Kubernetes.
- Knowledge of CI/CD pipelines and model deployment practices.
- Experience with vector databases and retrieval-augmented generation (RAG) systems.
- Understanding of prompt engineering and AI model fine-tuning techniques.
Technical Skills:
. Programming: Python.
- ML Frameworks: Scikit-learn, TensorFlow, PyTorch.
- Data Processing: Pandas, NumPy.
- Databases: MySQL, PostgreSQL, MongoDB.
- Cloud Platforms: AWS.
- Tools: Git, Docker.
- AI/LLM Tools: LangChain, Hugging Face, OpenAI APIs (preferred).
Pay: ₹240,000.00 - ₹420,000.00 per year
Benefits:
- Flexible schedule
- Health insurance
- Leave encashment
- Provident Fund
Work Location: In person
