Machine Learning Specialist

Job Description

Job Responsibilities Understand business goals and develop models with measurable success metrics. Manage resources (hardware, data, personnel) to meet project deadlines. Analyze and rank ML algorithms for problem-solving. Explore and visualize data, identifying distribution differences that impact model performance. Share knowledge, implement best practices, and contribute to team growth. Clean and verify data quality. Supervise data acquisition and search for external datasets for training. Define validation strategies and work with DocAI and Vision API. Build, maintain, and improve machine learning algorithms and systems. Develop scalable, automated processes for model development. Identify new opportunities to optimize processes and improve user experiences. Train models, tune hyperparameters, and deploy to production. Work within the GCP Ecosystem. Qualifications BE/B.Tech/Masters in a quantitative field (CS, EE, Math, etc.). 7+ years of experience in AI/ML/NLP, deep learning, or data-driven modeling. Strong programming skills in machine learning frameworks (TensorFlow, Spark, etc.). Proven ability to develop custom algorithms on top of open-source frameworks. Experience with advanced tech solutions (POCs, prototypes, products) in AI/ML/NLP. Familiarity with data management, cloud computing, and big data platforms. Excellent communication skills for explaining complex solutions. Preference will be given to immediate joiners