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Phonologies

4 Job openings at Phonologies
Data Scientists Pune, Maharashtra 5 years None Not disclosed On-site Not specified

Working with Phonologies Phonologies is the pioneer of speech technology and voice bots in India. Join our team, redefine the way conversational AI & voice bots are delivered on the phone. Everyday. Our solutions work with leading contact center providers, telephony systems, and CRM systems. We are always looking for young and talented specialists to join us in the development of our leading-edge customer interaction solutions. Voice Bots, AI, NLP Speech Recognition / Text-to-Speech Telephony, IVRs, ACD Individuals will be involved in developing and deploying ML models for real-world applications. Candidates with 5 years of experience and proficiency in Python, scikit-learn, and tools like MLFlow, Airflow, and Docker. You'll work across engineering and product teams to build ML pipelines, monitor model performance, and ensure ethical, explainable AI. Strong skills in feature engineering, model lifecycle ownership, and communication are essential. Recent graduates will not be considered for this role. Your role in our very friendly and professional environment will be challenging and growth oriented. You will be positioned in Pune. If you feel that your profile matches any of ours, do email us your resumes (in .pdf format) to: [email protected] . Don't forget to write a short note about yourself. We look forward to hearing from you!

Data Scientists pune,maharashtra 5 - 9 years INR Not disclosed On-site Full Time

Phonologies, a leading provider of speech technology and voice bots in India, is seeking individuals to join the team and revolutionize the delivery of conversational AI and voice bots over the phone. Our innovative solutions are seamlessly integrated with top contact center providers, telephony systems, and CRM systems. We are on the lookout for dynamic and skilled specialists to contribute to the development of our cutting-edge customer interaction solutions. As part of our team, you will be involved in developing and implementing machine learning models for real-world applications. Ideal candidates should possess a minimum of 5 years of experience and demonstrate proficiency in Python, scikit-learn, as well as familiarity with tools such as MLFlow, Airflow, and Docker. You will collaborate with engineering and product teams to create and manage ML pipelines, monitor model performance, and uphold ethical and explainable AI practices. Essential skills for this role include strong capabilities in feature engineering, ownership of the model lifecycle, and effective communication. Please note that recent graduates will not be considered for this position. In our welcoming and professional work environment, your role will offer both challenges and opportunities for growth. The position will be based in Pune. If you believe your qualifications align with our requirements, we encourage you to submit your resume (in .pdf format) to Careers@Phonologies.com. Additionally, kindly include a brief introduction about yourself in the email. We are excited to learn more about you and potentially welcome you to our team!,

Data Scientists Pune 5 - 10 years INR 17.0 - 19.0 Lacs P.A. Work from Office Full Time

Individuals will be involved in developing and deploying ML models for real-world applications Candidates with 5 years of experience and proficiency in Python, scikit-learn, and tools like MLFlow, Airflow, and Docker Youll work across engineering and product teams to build ML pipelines, monitor model performance, and ensure ethical, explainable AI Strong skills in feature engineering, model lifecycle ownership, and communication are essential Recent graduates will not be considered for this role

Data Engineering Pune 10 - 15 years INR 13.0 - 17.0 Lacs P.A. Work from Office Full Time

Data Engineering Candidates will lead the deployment of OrYx maistro a next-gen enterprise data orchestration platform across telecom, banking, government, and energy sectors You must have 10+ years of experience in enterprise data engineering and architecture Strong hands-on expertise in Hadoop, Spark, Delta Lake, Kafka, Airflow, Kubernetes, and cloud/on-prem environments is essential Familiarity with MLOps, data governance, and AI/ML pipeline integration is expected Prior domain experience in telecom, banking, or SCADA/IoT is a plus