Role
Spearhead the design, development, and deployment of cutting-edge AI solutions. You will lead a team of AI engineers, collaborate with cross-functional stakeholders, and drive innovation in machine learning, deep learning, and large language model applications. This role demands a strong foundation in AI technologies, hands-on experience in production-grade model deployment, and a strategic mindset to align AI initiatives with business goals.
Core Responsibilities
- Architect and implement scalable machine learning and deep learning models from scratch.
- Lead the development of information retrieval systems and relevance engineering solutions.
- Design and deploy predictive models using advanced ML frameworks.
- Transform ML models into robust APIs for seamless integration with enterprise applications.
- Guide the team in implementing Retrieval-Augmented Generation (RAG) and vector-based search systems.
- Mentor and train AI engineers, fostering a culture of innovation and technical excellence.
- Collaborate with product managers, data scientists, and business stakeholders to translate requirements into AI solutions.
- Drive the adoption of best practices in model development, testing, and deployment.
- Stay abreast of the latest advancements in AI, including LLMs, knowledge graphs, and generative AI.
- Evaluate and integrate emerging tools and frameworks such as LangChain and similar technologies.
- Lead experimentation and prototyping of new AI capabilities to enhance product features.
Technical Skills
Proficient in Python and SQLAdvanced expertise in ML algorithms, deep learning, and LLMsHands-on experience with LangChain or similar frameworksSkilled in building and tuning models using RAG, vector databases, and knowledge graphsExperience with cloud AI stacks on Azure, AWS, or Google CloudFamiliarity with big data ecosystems : Apache Spark, Hadoop, MongoDBStrong grasp of probability, statistics, and linear algebraRequired Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related fieldMinimum of 5 years of experience deploying machine learning models into productionAt least 4 years of hands-on experience in AI / ML development, with a focus on LLMs and information retrievalProven track record of leading AI projects and mentoring technical teamsExcellent problem-solving skills and ability to communicate complex technical concepts clearlySkills : ml,deep learning,llm,rag,langchain
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Skills Required
Hadoop, probability , Apache Spark, Sql, Google Cloud, Deep Learning, Statistics, Mongodb, Azure, linear algebra, Python, Aws