Senior AI/ML Engineer

3 weeks ago


Ahmedabad, India Armakuni Full time

Job Description :We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications.Key Responsibilities : AI : - Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies.- Extensive experience with LLMs and various prompt engineering techniques.- Fine-tune and build custom LLMs.- Deep understanding of LLM architecture and internal mechanisms.- Experience with Langchain, Langgraph, Langfuse, Crew AI, LLM output evaluations, and agentic workflows.- Build RAG (Retrieval-Augmented Generation) pipelines and integrate them with traditional applications.Data Science & Machine Learning : - Solve complex data science problems and uncover insights using advanced EDA techniques.- Implement automated pipelines for data cleaning, preprocessing, and model re-training.- Hands-on experience with model experiment tracking and validation techniques.- Deploy, track, and monitor models using AWS SageMaker.- Strong knowledge of fundamental machine learning concepts, including supervised and unsupervised learning, deep learning, CNNs, and RNNs.- Proficiency in working with databases for efficient data storage and retrieval.- Experience with data warehouses and data lakes.Computer Vision : - Work on complex computer vision problems, including image classification, object detection, segmentation, and image captioning.Skills & Qualifications : - 2-3 years of experience in implementing, deploying, and scaling Generative AI solutions.- 3-7 years of experience in NLP, Data Science, Machine Learning, and Computer Vision.- Proficiency in Python and ML frameworks such as Langchain, Langfuse, LLAMA Index, Langgraph, Crew AI, and LLM output evaluations.- Experience with AWS Bedrock, OpenAI GPT models (GPT-4, GPT-4o, GPT-4o-mini), and LLMs such as Claude, LLaMa, Gemini, and DeepSeek.- Experience with vector databases like Pinecone, OpenSearch, FAISS, and Chroma, with a strong understanding of indexing mechanisms.- Expertise in forecasting, time series analysis, and predictive analytics.- Experience with classification, regression, clustering, and other ML models.- Proficiency in SageMaker for model training, evaluation, and deployment.- Hands-on experience with ML libraries such as Scikit-learn, XGBoost, LightGBM, and CatBoost.- Experience with deep learning frameworks such as PyTorch and TensorFlow.- Familiarity with Docker, Uvicorn, FastAPI, and Flask for REST APIs.- Proficiency in SQL and NoSQL databases, including PostgreSQL and AWS DynamoDB.- Experience with caching technologies such as Redis and Memcached. (ref:hirist.tech)



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