AI Engineer

Experience- 2-4 Yrs

Location: Bangalore (WFH)

Employment Type: Full-time

About the Role

We are seeking a skilled Data Scientist/AI Engineer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems.

Key Responsibilities

1. Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases.
2. Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solving complex problems in vision, text, and structured/unstructured data.
3. Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, conversational AI, and semantic search.
4. Explore and implement Generative AI (LLMs, diffusion models, prompt engineering, fine-tuning, RAG pipelines, etc.) to enhance existing AI/ML capabilities.
5. Collaborate with product, engineering, and business stakeholders to translate requirements into AI-driven solutions.
6. Work on model performance optimization (scalability, latency, explainability, accuracy).
7. Stay up to date with emerging AI/ML and GenAI frameworks, tools, and research trends.

Required Skills & Experience

1. Having 2-4 years of experience in Data Science, AI/ML, and related fields.
2. Strong proficiency in Python, R, or similar languages with expertise in data science libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face).
3. Proven experience in designing and deploying ML/DL models in production.
4. Deep knowledge of NLP techniques: embeddings, Transformers, BERT/GPT-style models, seq2seq, text generation, entity recognition.
5. Hands-on exposure to Generative AI (e.g., OpenAI, Hugging Face, LangChain, vector databases, RAG, LLM fine-tuning).
6. Strong knowledge of cloud platforms (AWS, Azure, GCP) for ML/AI model deployment.
7. Solid understanding of MLOps practices (model versioning, monitoring, CI/CD pipelines).
8. Strong analytical, problem-solving, and communication skills.
9. Ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

1. Bachelor's or master's degree in computer science or data science, AI/ML, Statistics, or a related field.
2. Experience in GenAI enterprise use cases (chatbots, content generation, code generation, knowledge retrieval).
3. Knowledge of big data tools (Spark, Databricks, Hadoop) is a plus.
4. Excellent communication with client facing experience