Machine Learning Engineer

• Programming Languages (Must have): Advanced proficiency in Python Scala or PySpark.
• Machine Learning Frameworks (Must Have): Deep expertise in TensorFlow PyTorch and HuggingFace APIS
• Natural Language Processing (NLP) (Must Have):
• Expertise in NLP techniques for text financial data and pattern analysis.
• Experience with large language models like LLaMA 2 FALCON Mistral 7B LaMDA BERT Pathways Language Model (PaLM) or XLNet.
• Machine Translation (MT): Skilled in using tools like OpenAIs Whisper and T5Flex for multilingual translation.
• Automatic Speech Recognition (ASR):
• Proficiency in using Stable Diffusion Vicu a and other advanced ASR tools.
• Experience in speechtotext algorithms accent detection and noise reduction techniques.
• Optical Character Recognition (OCR) (Must have): Mastery over Orca AWS Tesseract PyTesseract and Google Tesseract.
• Call Records Analysis (Must have):
• Advanced skills in audio data processing and acoustic modelling.
• Experience in voice pattern analysis speaker identification and emotion recognition.
• Internet Protocol Detail Record Analysis Telecom Data call records analysis (Network Map and geospatial analysis) (Must have)
• Big Data Technologies: Proficiency in handling large datasets using Hadoop and Spark (Good to have)
• Database Management: Skilled in SQL and NoSQL databases like MongoDB and Cassandra.
• DevOps Tools: Familiarity with Docker and Kubernetes for deployment and scaling.

• Designing and implementing ML models for converting images and voice data to text.
• Analyzing text and call records to identify patterns anomalies and insights.
• Utilizing advanced NLP techniques for semantic search and data interpretation.
• Developing systems for voice pattern analysis and network creation from call data.

• Strong analytical and problemsolving skills.
• Excellent communication and collaboration abilities.
• Adaptable to rapidly changing technology landscapes.

• Over 3 years of professional experience in AI and machine learning.
• Specialization in NLP language modelling and audio data analysis.

• Bachelor s or master s degree in computer science Data Science Artificial Intelligence or a related field.
• Certifications or courses in NLP deep learning or audio processing.

• Constantly update knowledge in AI machine learning and NLP.

nlp,machine learning,data,docker,kubernetes,nosql,orca,pycharm,pytorch,apics,framework management,asrs,lambda expressions,palm os,xlminer,ocr,tensorflow