Technical Lead - Python Programming

Job Description : We are seeking an experienced Tech Lead - Python (AI/ML) to lead the design, development, and implementation of advanced AI and machine learning systems. The ideal candidate will have a deep technical background in Python and data science libraries, strong expertise in AI and ML algorithms, and hands-on experience in architecting scalable AI solutions. This role requires a mix of technical proficiency, leadership, and innovative thinking to advance our AI capabilities. Key Responsibilities : Data Preparation & Analysis : - Identify, clean, and summarize complex datasets from disparate sources to enable high-quality analyses and insights. Scripting & Automation : - Develop Python/PySpark scripts for data processing and transformation, leveraging AWS Glue, Lambda, and other serverless architectures. Machine Learning Expertise : - Apply advanced machine learning techniques including Bayesian methods, time series forecasting, regression, clustering, decision trees, and deep learning algorithms using frameworks like PyTorch and TensorFlow. Model Development & Validation : - Design and fine-tune machine learning models, ensuring high accuracy and efficiency. Perform robust model validation using state-of-the-art methods. Data Engineering : - Build efficient data pipelines to process and transform raw data for use in modeling and analytics. Distributed Systems Proficiency : - Utilize distributed databases and frameworks (Map/Reduce, Hadoop, Hive) for large-scale data processing. Advanced ML Libraries : - Leverage computational and statistical libraries such as Spark MLlib, Scikit-learn, SciPy, StatsModels, SAS, and R for model development and deployment. AI Systems Design : - Lead the design and architecture of AI systems with a strong focus on Retrieval-Augmented Generation (RAG) techniques, large language models, and other machine learning algorithms. RAG System Implementation : - Develop and fine-tune RAG systems to improve the performance and relevance of AI-driven outputs, seamlessly integrating external data sources into generative models. Engineering Pipelines : - Build and maintain pipelines for model training, evaluation, and deployment, ensuring robust and scalable AI solutions, with emphasis on RAG & Benchmarking : - Conduct thorough evaluation and benchmarking of AI models, including RAG systems, to drive data-driven decision-making for model & Integration : - Collaborate with data scientists, engineers, and product managers to integrate AI models into production, ensuring alignment with business goals and seamless operation. Innovation & Continuous Learning : - Stay updated on the latest advancements in AI and machine learning, particularly in RAG and generative models, and incorporate cutting-edge techniques into the team's & Standards : - Develop and maintain documentation for AI systems, ensuring best practices and standards are followed across the & Leadership : - Provide mentorship to junior AI engineers and data scientists, fostering an environment of continuous learning and knowledge : - Total Experience 5-7 years with relevant experience in AI/ML is 2-3 years. - Proficiency in Python and data science libraries like NumPy, SciPy, Pandas, and Scikit-learn. - Hands-on experience with PySpark scripting and AWS services such as Glue and Lambda. - Strong knowledge of Bayesian methods and time series forecasting. - Expertise in machine learning algorithms, model validation, and deep learning frameworks like PyTorch and TensorFlow. - Experience in handling structured, unstructured, and semi-structured data. - Advanced knowledge of distributed databases such as Map/Reduce, Hadoop, Hive. - Familiarity with RAG systems and large language models for AI-driven outputs. - Experience with supervised and unsupervised learning techniques, including forecasting, classification, text mining, NLP, and search algorithms. - Strong collaboration, leadership, and mentorship Experience : - Experience working with Spark MLlib, SciPy, StatsModels, SAS, and R. - Proven track record in developing and fine-tuning RAG systems for enhancing AI outputs. - Ability to innovate and apply the latest AI techniques to real-world business problems. (ref:hirist.tech)

Location: noida, IN

Posted Date: 2/1/2025