Artificial Intelligence Engineer

Job Title: Data Scientist / AI Engineer (2–3 Years Experience)

Department: AI

Employment Type: Full-Time (Remote- India)

Timings: 6.30PM IST to 3.30AM IST

About the Role

We are looking for a passionate and skilled Data Scientist / AI Engineer with 2–3 years of hands-on experience in building, deploying, and optimizing data-driven solutions. You’ll work closely with our product, engineering, and research teams to design and implement models spanning classical machine learning, deep learning, and generative AI pipelines.

Key Responsibilities

• Build, train, and evaluate machine learning and generative AI models for real-world use cases.
• Develop and maintain data pipelines, preprocessing workflows, and feature engineering processes using Python or PySpark.
• Work with LLMs (e.G., GPT, Llama, Claude) for tasks like retrieval-augmented generation (RAG), summarization, and content generation.
• Fine-tune, evaluate, and optimize models for accuracy, latency, and scalability.
• Collaborate with cloud and MLOps teams to deploy models using frameworks like AWS Sagemaker, Azure ML, or Vertex AI.
• Perform data exploration, visualization, and statistical analysis to derive actionable insights.
• Stay updated with emerging trends in GenAI, NLP, and multimodal AI, and translate them into practical implementations.

Required Skills

• Programming: Strong proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow).
• AI / ML: Practical experience with supervised, unsupervised, or reinforcement learning algorithms.
• GenAI: Exposure to LLMs, prompt engineering, embeddings, and vector databases (Pinecone, FAISS, Chroma, etc.).

Data Engineering: Experience working with large-scale structured and unstructured datasets.

Cloud & MLOps: Familiarity with containerized deployments (Docker, Kubernetes) and cloud AI platforms (AWS, Azure, or GCP).

Analytics & Visualization: Experience with Power BI, Tableau, or similar visualization tools is a plus.

Must have:

Experience in LangChain, OpenAI API, or Hugging Face Transformers.

Knowledge of retrieval-augmented generation (RAG) and agentic AI systems.

Prior work on end-to-end AI product development or POC creation.

Understanding of SQL and data warehouse technologies.

Education

Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field.

What We Offer

• Opportunity to work on cutting-edge AI & Generative AI projects.
• Mentorship from senior architects and researchers.
• Fast-paced, innovation-driven culture with career growth paths toward AI Specialist / Applied Scientist / MLOps Engineer