AI Developer | Onsite, Noida | Open to India-based candidates only

Position type: Full-time employee

Location: Onsite - Noida, India

• Design, develop, and validate machine learning and deep learning models to address domain-specific business challenges

• Work across a range of approaches including classical ML, NLP, computer vision, reinforcement learning, and transformer-based models

• Apply Generative AI techniques, including working with large language models and retrieval-based systems, where appropriate

• Collaborate with data scientists and engineers to source, clean, and preprocess large datasets

• Perform feature engineering and data selection to improve model inputs and outcomes

• Deploy models into production environments that support real-time or near real-time use cases

• Build and maintain MLOps pipelines for deployment, monitoring, versioning, and retraining

• Use Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP

• Integrate models into applications through APIs or model-serving frameworks

• Optimize models for performance, latency, scalability, and resource efficiency

• Implement testing strategies including unit testing, regression testing, and A/B testing

• Monitor model performance and improve solutions based on data, feedback, and usage patterns

• Work closely with cross-functional teams including engineering, product, and subject matter experts

• Document model architectures, training processes, and experimental results

• Communicate technical concepts clearly to both technical and non-technical stakeholders

• Contribute to ethical AI practices with attention to fairness, transparency, and accountability

• Help identify and mitigate risks such as bias, hallucinations, or incorrect outputs

• Minimum 2 years of hands-on experience in AI or machine learning development

• Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn

• Solid understanding of ML and DL architectures including CNNs, RNNs or LSTMs, and Transformers

• Experience with data manipulation and analysis using Pandas, NumPy, and SciPy

• Familiarity with software engineering best practices including Git, testing, and code optimization

• Experience deploying models to cloud platforms or on-premise environments

• Ability to work full-time from our Noida office

• Hands-on experience with large language models such as GPT, Claude, Mistral, or LLaMA

• Experience with prompt engineering, Retrieval-Augmented Generation (RAG), or vector-based search

• Familiarity with tools such as LangChain, LlamaIndex, Hugging Face, Pinecone, FAISS, or Weaviate

• Experience with MLOps tools like MLflow, Kubeflow, or DVC

• Exposure to applying AI in domains such as healthcare, finance, retail, manufacturing, or customer service

• Strong grounding in statistics and optimization