Senior AI Technology Strategist

5 days ago

Kolhapur, India beBeeArtificialIntelligence Full time

Job Title: AI Engineering LeadA lead engineering role focused on developing and implementing artificial intelligence and machine learning solutions.About the Role:We are seeking an experienced AI engineer to lead the development of scalable algorithms and machine learning models. The successful candidate will have a strong background in AI/ML engineering, data science, or algorithm development, with experience in machine learning, deep learning, NLP, or computer vision.The ideal candidate will have proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms (AWS/GCP/Azure) and MLOps tools (Docker, Kubernetes, MLflow).Key Responsibilities:Familiarize yourself with all AI/ML products, tools, and platforms used within the organization.Lead the design and development of scalable algorithms and machine learning models.Develop and execute technical strategies and roadmaps aligned with business goals.Build, train, test, and optimize ML and deep learning models for various use cases.Identify, qualify, and propose AI/ML solutions to solve business challenges.Requirements:Minimum of 5+ years of experience in AI/ML engineering, data science, or algorithm development.Strong experience in machine learning, deep learning, NLP, or computer vision.Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools (Docker, Kubernetes, MLflow).Solid understanding of algorithms, data structures, statistics, and optimization techniques.Excellent written and verbal communication skills.Strong problem-solving, analytical, and leadership capabilities.Degree in Computer Science, Data Science, AI/ML, Engineering, or a related field.PREFERRED SKILLS:Experience with Generative AI and Large Language Models (LLMs), including fine-tuning, evaluation, and deployment.Knowledge of prompt engineering and agentic workflows.Familiarity with GenAI frameworks such as LangChain, LangGraph, LlamaIndex, Langfuse, CrewAI.Understanding of RAG pipelines and vector databases such as Pinecone, FAISS, Chroma, OpenSearch.Exposure to model optimization techniques like quantization (INT4/GPTQ) and inference acceleration.

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