AI, Machine Learning Specialist

As a Machine Learning & Data Science Engineer at Qualcomm India Private Limited, you will be responsible for independently driving the end-to-end development of scalable data pipelines, ML/NLP models, and production-grade Python systems. Your role will require strong technical expertise in Machine Learning, NLP, Data Engineering, and Python backend development, as well as the ability to work autonomously and deliver impactful solutions. Key Responsibilities: - Develop, fine-tune, and deploy ML and NLP models using TensorFlow, PyTorch, and Scikit-learn. - Apply advanced NLP methods like Transformers, BERT-based models, and LLM fine-tuning. - Build Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, FAISS, Milvus, etc. - Utilize model registries and cloud ML environments such as HuggingFace, AWS Sagemaker, Azure ML. - Design and implement scalable ETL and data ingestion pipelines using SQL, NoSQL, and big-data frameworks (Spark, Hadoop, PySpark). - Create efficient data models, schema designs, and storage strategies (PostgreSQL, MongoDB, Cassandra, etc.). - Ensure data quality, validation, and governance across distributed systems. - Own documentation and architecture of data flows. - Develop scalable backend components and services using Python (FastAPI, Flask, Django). - Automate workflows, model pipelines, and data processing using Pandas, NumPy, SQLAlchemy. - Integrate ML solutions into production systems with clean, modular, well-documented code. - Work independently to design, build, and deliver complete ML/Data solutions. - Collaborate with cross-functional teams including systems, hardware, architects, and test teams. - Translate business requirements into technical approaches and drive execution. Qualifications Required: - Bachelor's/Master's degree in Computer Science, Engineering, or relevant field. - 415 years of experience across ML, NLP, and Data Engineering. - Expert-level Python programming with hands-on experience in backend/API development. - Proficiency in SQL and familiarity with SQL/NoSQL databases. - Experience with big data tools such as Spark or Hadoop. - Experience with cloud platforms (AWS, Azure). - Strong communication, analytical, and problem-solving skills. - Ability to work independently and take end-to-end ownership of solutions. Please note that Qualcomm is an equal opportunity employer and provides accommodations for individuals with disabilities during the application and hiring process. If you require any accommodations, please contact Qualcomm's toll-free number or email disability@qualcomm.com. As a Machine Learning & Data Science Engineer at Qualcomm India Private Limited, you will be responsible for independently driving the end-to-end development of scalable data pipelines, ML/NLP models, and production-grade Python systems. Your role will require strong technical expertise in Machine Learning, NLP, Data Engineering, and Python backend development, as well as the ability to work autonomously and deliver impactful solutions. Key Responsibilities: - Develop, fine-tune, and deploy ML and NLP models using TensorFlow, PyTorch, and Scikit-learn. - Apply advanced NLP methods like Transformers, BERT-based models, and LLM fine-tuning. - Build Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, FAISS, Milvus, etc. - Utilize model registries and cloud ML environments such as HuggingFace, AWS Sagemaker, Azure ML. - Design and implement scalable ETL and data ingestion pipelines using SQL, NoSQL, and big-data frameworks (Spark, Hadoop, PySpark). - Create efficient data models, schema designs, and storage strategies (PostgreSQL, MongoDB, Cassandra, etc.). - Ensure data quality, validation, and governance across distributed systems. - Own documentation and architecture of data flows. - Develop scalable backend components and services using Python (FastAPI, Flask, Django). - Automate workflows, model pipelines, and data processing using Pandas, NumPy, SQLAlchemy. - Integrate ML solutions into production systems with clean, modular, well-documented code. - Work independently to design, build, and deliver complete ML/Data solutions. - Collaborate with cross-functional teams including systems, hardware, architects, and test teams. - Translate business requirements into technical approaches and drive execution. Qualifications Required: - Bachelor's/Master's degree in Computer Science, Engineering, or relevant field. - 415 years of experience across ML, NLP, and Data Engineering. - Expert-level Python programming with hands-on experience in backend/API development. - Proficiency in SQL and familiarity with SQL/NoSQL databases. - Experience with big data tools such as Spark or Hadoop. - Experience with cloud platforms (AWS, Azure). - Strong communication, analytical, and problem-solving skills. - Ability to work independently and take end-to-end ownership of solutions. Please note that Qualcomm is an equal opportunity employer and provi