KPMG Assurance and Consulting Services LLP
Location
Delhi | India
Job description
Job Title : Machine Learning/AI Engineer with NLP specializationJob Location : DelhiPosition : Consultant/AM Notice Period : < 30 DaysJob Description :Experience :- Over 3 years of professional experience in AI and machine learning.- Specialization in NLP, language modelling, and audio data analysis.Educational Qualifications :- 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.Technical Skills :1. Programming Languages (Must have): Advanced proficiency in Python, and Scala or Pyspark.2. Machine Learning Frameworks (Must Have): Deep expertise in TensorFlow, PyTorch, HuggingFace APIS3. 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.4. Machine Translation (MT): Skilled in using tools like OpenAI's Whisper and T5Flex for multilingual translation.5. Automatic Speech Recognition (ASR) :- Proficiency in using Stable Diffusion, Vicua, and other advanced ASR tools.- Experience in speech-to-text algorithms, accent detection, and noise reduction techniques.6. Optical Character Recognition (OCR) (Must have): Mastery over Orca, AWS Tesseract, PyTesseract, and Google Tesseract.7. Call Records Analysis (Must have) :- Advanced skills in audio data processing and acoustic modelling.- Experience in voice pattern analysis, speaker identification, and emotion recognition.8. Internet Protocol Detail Record Analysis, Telecom Data call records analysis (Network Map and geospatial analysis) (Must have)9. Big Data Technologies : Proficiency in handling large datasets using Hadoop and Spark (Good to have)10. Database Management : Skilled in SQL and NoSQL databases like MongoDB, Cassandra.11. DevOps Tools : Familiarity with Docker, Kubernetes for deployment and scaling.Core Responsibilities :- 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.Soft Skills :- Strong analytical and problem-solving skills.- Excellent communication and collaboration abilities.- Adaptable to rapidly changing technology landscapes.Additional Requirements : Constantly update knowledge in AI, machine learning, and NLP. (ref:hirist.tech)
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