
Lead AI/ML Engineer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in India.
• Design, train, and implement machine learning models for predictive analytics, classification, and clustering tasks.
• Develop AI-driven solutions utilizing TensorFlow, PyTorch, and Scikit-learn.
• Utilize AWS services, including SageMaker, Lambda, and S3, along with Azure and Google Cloud's Vertex AI.
• Integrate and fine-tune transformer models from Hugging Face, such as BERT and GPT, for natural language processing (NLP) applications.
• Create AI automation solutions, including chatbots, leveraging Microsoft Teams and Azure AI.
• Employ Apache Spark and Snowflake for extensive data processing and analytics.
• Design and enhance ETL pipelines to ensure data quality management and transformation.
• Utilize SQL, MySQL, PostgreSQL, and MongoDB for effective database management and querying.
• Develop interactive data visualizations through Tableau and Power BI.
• Fine-tune, train, and deploy Large Language Models for conversational AI, text generation, and summarization purposes.
• Create and implement Agentic AI systems that facilitate autonomous decision-making agents.
• Over 5 years of experience implementing AI in real-world applications.
• Strong programming proficiency in Python and SQL.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Understanding of fundamental algorithms and principles of object-oriented and functional design.
• Proficient in data manipulation libraries like Pandas, NumPy, and Matplotlib.
• Practical experience with AWS, Azure, and Google Cloud platforms.
• Experience in big data processing with Apache Spark.
• Knowledge of NLP and implementations of AI models using Hugging Face and cloud-based AI technologies.
• Strong grasp of database management, query optimization, and data handling.
• Familiarity with Tableau and Power BI for data visualization.
• Ability to collaborate effectively in a team environment and adapt to emerging AI technologies.
• Excellent analytical and problem-solving capabilities.
• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related discipline.
• A diverse and inclusive workplace.
• An equal opportunity employer committed to affirmative action.
• Employment opportunities without regard to sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.
• Support for disability accommodations.
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