AI / ML Engineer

THE WORK: Explore new horizons with enthusiasm and curiosity. You will perform independently and become a subject matter expert while actively participating and contributing in team discussions. Your contributions will help provide thoughtful solutions to work-related challenges. This opportunity invites you to engage deeply with advanced Machine Learning, fostering growth and innovation. Join us in shaping the future with your expertise and passion.Responsibilities: Design and develop AI/ML and Generative AI solutions using PythonBuild and deploy applications leveraging Large Language Models (LLMs)Develop end-to-end pipelines including data ingestion, preprocessing, model integration, and deploymentImplement prompt engineering and fine-tuning strategies for LLMsIntegrate AI services into web/mobile/backend applications via APIsWork with vector databases and embeddings for semantic search and RAG architecturesOptimize models and pipelines for performance, latency, and costCollaborate with cross-functional teams to translate business requirements into AI solutionsEnsure responsible AI practices including data privacy, bias mitigation, and explainabilityMonitor and improve model performance in production environments________________________________________Required Skills Qualifications6-8 years of experience in software engineering / AI / ML, Python roles, Strong programming expertise in PythonHands-on experience with ML/DL frameworks like PyTorch or TensorFlowExperience with LLM frameworks such as LangChain or LlamaIndexSolid understanding of NLP concepts and transformer-based modelsExperience with REST APIs and microservices architectureFamiliarity with vector databases (e.g., Pinecone, FAISS, Weaviate)Experience with version control systems like Git________________________________________Preferred QualificationsExperience working with APIs from providers like OpenAI or open-source LLMs (Llama, Mistral)Knowledge of Retrieval-Augmented Generation (RAG) architecturesExperience with model fine-tuning and evaluation techniquesExposure to cloud platforms (AWS / GCP) for deployment (excluding Azure)Understanding of containerization tools like Docker________________________________________Soft SkillsStrong analytical and problem-solving skillsAbility to translate complex AI concepts into practical solutionsGood communication and stakeholder management skillsAbility to work independently and in collaborative environments________________________________________Nice to HaveExperience with AI agents / autonomous workflowsKnowledge of MLOps practices and CI/CD for ML pipelinesExposure to multimodal AI (text, image, audio models)Experience with real-time AI applications (chatbots, voice bots, copilots)


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