AI Engineer (Gen AI / LLMs) | Python, LangChain, AWS | Kolkata | Up to 30 LPA - Immediate joiners...
Job Description
Hiring for: A niche data, AI and analytics consulting company helping mid-large global organizations in their transformation journeys.
Role: AI Engineer
Positions: 1
Location(s): Kolkata
Type: On-site / Permanent
Salary: Up to INR 30 LPA
Notice Period: 15 days
Description:
We are seeking a skilled AI Engineer with 3+ years of experience to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will have hands-on experience with ML models, data pipelines, and deploying AI systems into production environments.
Responsibilities:
• Design, build, and deploy machine learning and deep learning models for realworld applications.
• Develop and optimize data pipelines for training and inference.
• Work with large datasets for data preprocessing, feature engineering, and model training.
• Implement NLP, computer vision, or recommendation systems depending on project requirements.
• Integrate AI models with production systems using APIs and microservices.
• Monitor model performance and retrain models when necessary.
• Collaborate with data scientists, software engineers, and product teams.
• Ensure models are scalable, eEicient, and production-ready.
• Stay updated with the latest advancements in AI/ML technologies.
Required Skills:
• Strong programming skills in Python.
• Experience with machine learning frameworks such as:
o TensorFlow
o PyTorch
o Scikit-learn
• Knowledge of deep learning architectures (CNN, RNN, Transformers).
• Experience with data processing tools such as Pandas, NumPy, and Spark.
• Familiarity with model deployment using Docker, FastAPI, or Flask.
• Understanding of MLOps practices.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of Git and CI/CD pipelines.
Preferred Qualifications:
• Experience with LLMs and Generative AI.
• Knowledge of vector databases and embeddings.
• Familiarity with LangChain or LLM orchestration frameworks.
• Experience building AI-powered APIs or chatbots.
• Exposure to Kubernetes and scalable ML infrastructure.
Education:
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
