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!
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!,
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 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
About the Role Phonologies is seeking a hands-on ML Engineer who bridges data engineering and machine learning designing and implementing production-ready ML pipelines that are reliable, scalable, and automation-driven. Youll own the end-to-end workflow: from data transformation and pipeline design to model packaging, fine-tuning preparation, and deployment automation. This is not a Data Scientist or MLOps role its data-focused engineering position for someone who understands ML systems deeply, builds robust data workflows, and develops the platforms that power AI in production. Role & responsibilities Machine Learning Pipelines & Automation: Design, deploy and maintain end-to-end ML pipelines. Build data transformation layers (Bronze, Silver, Gold) to enable structured, reusable workflows. Automate retraining, validation, and deployment using Airflow, Kubeflow, or equivalent tools. Implement Rules-Based Access Control (RBAC) and enterprise-grade authorization. LLM & GenAI Readiness: Prepare datasets for LLM fine-tuning - tokenization, formatting, and quality filtering. Support LangChain / RAG integration and automate embeddings preparation for GenAI applications. API & Platform Architecture: Develop robust APIs for model serving, metadata access, and pipeline orchestration. Participate in platform design and architecture reviews, contributing to scalable ML system blueprints. Create monitoring and observability frameworks for performance and reliability. Cloud & Deployment: Deploy pipelines across cloud (AWS, Azure, GCP) and on-prem environments, ensuring scalability and reproducibility. Collaborate with DevOps and platform teams to optimize compute, storage, and workflow orchestration. Collaboration & Integration: Work with Data Scientists to productionize models, and with Data Engineers to optimize feature pipelines. Integrate Firebase workflows or data event triggers where required. Preferred candidate profile Experience: 5+ years in Data Engineering or ML Engineering , with proven experience in: building data workflows and ML pipelines packaging and deploying models using Docker & CI/CD preparing data for LLM fine-tuning and generative AI pipelines designing platform and API architecture for ML systems. Technical Skills: Programming & ML : Python, SQL, scikit-learn, XGBoost, LightGBM Data Engineering & Cloud Pipelines : Large-scale preprocessing, containerized ETL (Docker, Airflow, Kubernetes), workflow automation Data Streaming & Integration : Apache Kafka, micro-batch and real-time ingestion ML Lifecycle & Orchestration : MLFlow, Dagshub, Databricks, A/B Testing, modular ML system design API & Platform Development : FastAPI, Flask, RESTful APIs, architecture planning Data Governance, Privacy, Security & Access Control : Schema registry, lineage tracking, secure data handling, audit logging, RBAC LLM & GenAI : Fine-tuning prep, RAG, LangChain, LLMOps (LangSmith, vector DBs) AutoML & Optimization : PyCaret, H2O.ai, Google AutoML Model Monitoring & Automation : Drift detection, retraining workflows, Airflow / Kubeflow automation Firebase & Tooling : Cloud functions, Firestore models, Jenkins, Prefect, CI/CD automation Education: Bachelors or Masters in Computer Science , Machine Learning , or Information Systems . Communication & Collaboration : Translating technical concepts, business storytelling, cross-functional delivery.
Role Overview: At Phonologies, a pioneering speech technology company in India, you will be part of a team that is redefining the delivery of conversational AI and voice bots on phone systems. Your daily tasks will involve working with leading contact center providers, telephony systems, and CRM systems to develop cutting-edge customer interaction solutions. Key Responsibilities: - Develop and deploy ML models for real-world applications - Utilize Python, scikit-learn, and tools like MLFlow, Airflow, and Docker - Collaborate with engineering and product teams to build ML pipelines and monitor model performance - Ensure ethical and explainable AI by owning the model lifecycle and implementing strong communication skills Qualifications Required: - Minimum 5 years of experience in the field - Proficiency in Python, scikit-learn, and relevant ML tools - Strong skills in feature engineering and model lifecycle ownership - Excellent communication skills Please note that recent graduates will not be considered for this role. If you believe your profile aligns with the above requirements and you are seeking a challenging and growth-oriented role in a friendly and professional environment, we encourage you to email your resume (in .pdf format) to Careers@Phonologies.com. Don't forget to include a short note about yourself. We are excited to hear from you! Role Overview: At Phonologies, a pioneering speech technology company in India, you will be part of a team that is redefining the delivery of conversational AI and voice bots on phone systems. Your daily tasks will involve working with leading contact center providers, telephony systems, and CRM systems to develop cutting-edge customer interaction solutions. Key Responsibilities: - Develop and deploy ML models for real-world applications - Utilize Python, scikit-learn, and tools like MLFlow, Airflow, and Docker - Collaborate with engineering and product teams to build ML pipelines and monitor model performance - Ensure ethical and explainable AI by owning the model lifecycle and implementing strong communication skills Qualifications Required: - Minimum 5 years of experience in the field - Proficiency in Python, scikit-learn, and relevant ML tools - Strong skills in feature engineering and model lifecycle ownership - Excellent communication skills Please note that recent graduates will not be considered for this role. If you believe your profile aligns with the above requirements and you are seeking a challenging and growth-oriented role in a friendly and professional environment, we encourage you to email your resume (in .pdf format) to Careers@Phonologies.com. Don't forget to include a short note about yourself. We are excited to hear from you!