AI Developer (Full-time, onsite in Noida | Open to India-based candidates only)
- Noida, Uttar Pradesh
- Permanent
- Full-time
Type: Full-time employeeExperience: Minimum 2 years experienceKey ResponsibilitiesData Engineering & PreprocessingCollaborate with data scientists and engineers to source, clean, and preprocess large datasets.Perform feature engineering and data selection to improve model inputs.AI Model Development & ImplementationDesign, build, and validate machine learning and deep learning models, including:Convolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs/LSTMs)TransformersNLP and computer vision modelsReinforcement learning agentsClassical ML techniquesDevelop models tailored to domain-specific business challenges.Performance Optimization & ScalabilityOptimize models for performance, latency, scalability, and resource efficiency.Ensure models are production-ready for real-time applications.Deployment, MLOps & IntegrationBuild and maintain MLOps pipelines for model deployment, monitoring, and retraining.Use Docker, Kubernetes, and CI/CD tools for containerization and orchestration.Deploy models on cloud platforms (AWS, Azure, GCP) or on-premise infrastructure.Integrate models into systems and applications via APIs or model-serving frameworks.Testing, Validation & Continuous ImprovementImplement testing strategies like unit testing, regression testing, and A/B testing.Continuously improve models based on user feedback and performance metrics.Research & InnovationStay up to date with AI/ML advancements, tools, and techniques.Experiment with new approaches to drive innovation and competitive advantage.Collaboration & CommunicationWork closely with engineers, product managers, and subject matter experts.Document model architecture, training processes, and experimental findings.Communicate complex technical topics to non-technical stakeholders clearly.Ethical AI PracticesSupport and implement ethical AI practices focusing on fairness, transparency, and accountability.Core Technical SkillsProficient in Python and experienced with libraries such as TensorFlow, PyTorch, Keras, Scikit-learn.Solid understanding of ML/DL architectures (CNNs, RNNs/LSTMs, Transformers).Skilled in data manipulation using Pandas, NumPy, SciPy.MLOps & Deployment ExperienceExperience with MLOps tools like MLflow, Kubeflow, DVC.Familiarity with Docker, Kubernetes, and CI/CD pipelines.Proven ability to deploy models on cloud platforms (AWS, Azure, or GCP).Software Engineering & Analytical ThinkingStrong foundation in software engineering: Git, unit testing, and code optimization.Strong analytical mindset with experience working with large datasets.Communication & TeamworkExcellent communication skills, both written and verbal.Collaborative team player with experience in agile environments.PreferredAdvanced AI & LLM ExpertiseHands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA).Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).Experience with LangChain, LlamaIndex, and Hugging Face Transformers.Understanding of vector databases (e.g., Pinecone, FAISS, Weaviate).Domain-Specific ExperienceExperience applying AI in sectors like healthcare, finance, retail, manufacturing, or customer service.Specialized knowledge in NLP, computer vision, or reinforcement learning.Academic & Research BackgroundStrong background in statistics and optimization.Research publications in top AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL) are a plus.