AI Engineer

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.