Tecnotree

JD Position overview Strong coding knowledge in python and machine learning. Ability to write well tested code using standard coding practices, deploy it using docker. Aware of recent developments in Machine learning such as Generative AI eg. Transformers, LLAMA etc. Can work independently with little supervision, can create API endpoints using REST or GraphQL. Good to have knowledge of SQL, Spark and Mongo db. Good analytic skills and learning ability are a must to succeed in this role. Demonstrated ability to understand modern ML algorithms including NLP, RL and deep learning will be valued. Prior research publications in top conferences will be an valued advantage Business Overview Role and Responsibilities Ability to understand and implement ML algorithms, go through ML libraries for recommendations. Ability to create APIs and integrate with other systems using Docker Follow Agile best practices and tools adopted by the team Integrate various software platforms and external 3rd party systems through vendor APIs. Work with vendor(s) on API implementation and troubleshooting, suggesting necessary features and identifying enhancement opportunities. Configure Dev, QA and Production environments with proper packages and dependencies to enable development, working closely with DevOps, CI and QA team members Strong communication and presentation skills, Proactive Thinking, Quality Focused mindset Required Skill Set Strong proficiency with one of either recommendation systems, generative AI or Reinforcement learning. Solid experience working within a Docker, including REST/API development experience Good to have experience with AWS including EC2, CloudWatch, S3, Cloud Front, API Gateway, Fargate, Route53, Kafka(MSK), ELBs, VPC, RDS Languages: Python primarily Solid experience working with Unix/Linux environments for development, including package management and basic system administration. Experience developing software against documented third-party APIs and working with vendors to identify and correct issues and drive enhancements. Experience with CI/CD Pipelines, Unit and Automated Integration Testing, Application Logging and Monitoring tools Earlier Experience of E-Commerce is a Plus. Good Experience in MongoDB, MySQL. Understanding accessibility and security compliance User authentication and authorization between multiple systems, servers, and environments Integration of multiple data sources and databases into one system Understanding fundamental design principles behind a scalable application Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform Creating database schemas that represent and support business processes Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Preferred Skill Set Extensive knowledge of Python, ML libraries, and frameworks. Experience Level / Years of Experience 2+ years of experience in Machine learning application development using python Minimum Education Qualification Bachelors/Masters degree in Engineering, Computer Science, or IT About Tecnotree Tecnotree is a global provider of Telecom IT solutions for the management of products, customers and revenue. Tecnotree helps communications service providers to transform their business towards a marketplace of digital services. Tecnotree empowers service providers to monetize service bundles, provide personalized user experiences and augment value throughout the customer lifecycle. With around 1000 telecom experts, Tecnotree serves around 90 service providers in around 70 countries. Tecnotree is listed on the main list of NASDAQ OMX Helsinki with the trading code TEM1V.

Job Title: Backend Developer (Node.js / Java / Python) Experience: 2 to 6 Years Location: Bangalore (Hybrid Work Model) Notice Period: Immediate Joiners or Candidates with 15 Days Notice Only About Us: Tecnotree is a global leader in telecom IT solutions, enabling digital transformation for CSPs across the globe. We are looking for a skilled and motivated Backend Developer to join our growing team in Bangalore. If you're passionate about scalable systems, API design, and backend technologies, we want to hear from you! Key Responsibilities: Design, develop, test, and deploy robust backend solutions using Node.js , Java , or Python Build and maintain efficient, reusable, and reliable code Design and implement RESTful APIs and microservices architecture Collaborate with frontend developers, DevOps, and product teams to integrate user-facing elements Optimize applications for performance, scalability, and reliability Troubleshoot and debug production issues and ensure high availability Follow best practices in coding, testing, and DevOps Required Skills: Proficiency in Node.js with solid experience in backend development Working knowledge of Java and/or Python Strong understanding of RESTful API design and development Experience with Databases relational (MySQL/PostgreSQL) and/or NoSQL (MongoDB, Redis) Hands-on experience with version control tools like Git Understanding of asynchronous programming, message queues, and scalable backend architecture Nice to Have: Experience with containerization tools (Docker, Kubernetes) Familiarity with CI/CD pipelines and cloud platforms (AWS, GCP, Azure) Prior experience in a telecom or enterprise software environment Why Join Us? Hybrid work flexibility (2–3 days/week in Bangalore office) Opportunity to work on high-impact projects with global telecom leaders A collaborative, innovation-driven environment with career growth support

Role Wintel specialist and Network awareness: please refer skills for details Role Clarity - ( Project Name, Candidate role details in the project assigned) IT infra support; troubleshooting and fixing Windows/Linux Servers, Storage and Backup, VMware, SCCM, MS Exchange Server Skills Must Have Windows Server environments (2016, 2019, 2022), including Active Directory (AD), Group Policy, DNS, DHCP, and ADFS, MBAM. Lead Azure implementation and optimization, including Azure AD Connect, Entra (Azure AD), and Office 365 integration. Enforce security best practices, including patch management, SCCM, and vulnerability assessments. Configure and maintain backup and recovery solutions (e.g., Veeam, enterprise backup systems) and disaster recovery processes. Managing the Microsoft Exchange server Work Experience 10-12 years

Senior Al/ML Engineer Company Overview Tecnotree Corporation is a leading provider of full-stack Digital BSS for CSPs and DSPs. We are seeking a highly skilled Senior Al/ML Engineer to join our growing team and drive innovation in artificial intelligence and machine learning solutions. Position Summary We are looking for an experienced Senior Al/ML Engineer to design, develop, and deploy scalable machine learning systems and Al solutions. The ideal candidate should have deep expertise in machine learning algorithms, software engineering best practices, and experience bringing ML models from research to production. Key Responsibilities Model Development & Research Design and implement advanced machine learning models and algorithms Conduct research on state-of-the-art ML techniques and evaluate their applicability to business problems Develop deep learning models using frameworks such as TensorFlow, PyTorch, or JAX Perform feature engineering, model selection, and hyperparameter optimization Create and maintain model evaluation frameworks and metrics Production Systems Build and maintain scalable ML infrastructure and pipelines Deploy models to production environments with proper monitoring and alerting Implement MLOps practices including Cl/CD for ML, model versioning, and automated testing Design and optimize data processing pipelines for large-scale datasets Ensure model performance, reliability, and scalability in production Technical Leadership Mentor junior engineers and data scientists on ML best practices Lead technical discussions and architecture decisions for ML projects Collaborate with cross-functional teams including product, engineering, and data teams Conduct code reviews and establish ML engineering standards Present findings and recommendations to technical and non-technical stakeholders Data & Analytics Work with large, complex datasets from various sources Implement data validation, quality checks, and monitoring systems Design experiments and A/B tests to measure model performance and business impact Collaborate with data engineers on data infrastructure and accessibility Required Qualifications Education & Experience Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related field 5+ years of experience in machine learning and software engineering 3+ years of experience deploying ML models to production environments Technical Skills Programming Languages: Proficiency in Python, with experience in R, Scala, or Java preferred ML Frameworks: Expert-level experience with TensorFlow, PyTorch, scikit-learn, XGBoost Cloud Platforms: Experience with AWS, GCP, or Azure ML services Big Data Tools: Familiarity with Spark, Hadoop, Kafka, or similar distributed systems Containerization: Experience with Docker, Kubernetes for ML model deployment Databases: Proficiency in SQL and experience with NoSQL databases (MongoDB, Cassandra) Version Control: Git, Mlflow, DVC, or similar ML versioning tools ML Expertise Deep understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) Experience with deep learning architectures (CNNs, RNNs, Transformers, GANs) Knowledge of statistical methods, experimental design, and causal inference Experience with computer vision, NLP, or time series analysis Understanding of model interpretability and explainability techniques Software Engineering Strong software engineering principles and design patterns Experience with microservices architecture and API development Knowledge of software testing, including unit testing for ML code Familiarity with monitoring, logging, and debugging distributed systems Understanding of security best practices for ML systems Preferred Qualifications Experience with large language models (LLMs) and generative Al Knowledge of federated learning, edge Al, or mobile ML deployment Experience with real-time inference and low-latency model serving Contributions to open-source ML projects or research publications Telecommunications domain knowledge and experience with BSS/OSS systems Leadership or technical mentoring experience

Highly Looking for Immediate to 15 Days Notice period Only Role & responsibilities SQL Proficiency• Writing complex queries, joins, subqueries, and aggregations Optimizing query performance for large datasets Data Modeling & Schema Understanding• Relational schema design (Oracle, MySQL) Document-based schema design (MongoDB) ETL & Data Transformation• Extracting data from multiple sources Cleaning, transforming, and loading into reporting layers Report Automation & Scheduling• Using tools like Oracle Scheduler, cron jobs, or BI platforms Automating refresh cycles and alerts these are basic .. Oracle-Specific Skills PL/SQL Development• Writing stored procedures, functions, and packages Exception handling and performance tuning Oracle BI Tools• Oracle BI Publisher, Oracle Analytics Cloud Integration with dashboards and enterprise reporting Materialized Views & Indexing• Creating summary tables for faster reporting Managing refresh strategies any of these are important ..

Job description Technical Content Writer Telecom This role focuses on the creation, editing, and management of technically accurate, market-relevant content tailored specifically for the telecom industry. A strong technical background in telecom is essential to effectively research, understand, and communicate complex concepts. Daily responsibilities include developing focused content strategies, conducting in-depth telecom market and technology research, crafting compelling and clear copy, producing diverse marketing materials, and collaborating closely with cross-functional teams to ensure alignment with business objectives and industry audiences. Roles & Responsibilities Develop and implement targeted content strategies that showcase telecom products, solutions, and emerging technologies. Research and analyze telecom industry trends, standards (e.g., TMForum), protocols, and competitive landscapes to inform content creation. Create technically accurate and compelling content — including whitepapers, solution briefs, case studies, blogs, and product datasheets — tailored for telecom professionals and decision-makers. Translate complex telecom architectures, network functions, and BSS/OSS concepts into clear, engaging marketing materials. Collaborate cross-functionally with product managers, engineers, marketing, and sales teams to ensure content aligns with business objectives and customer needs. Edit and proofread all telecom-related content for technical accuracy, clarity, and consistency. Track SEO performance metrics (rankings, organic traffic, CTR) and PR analytics (media mentions, backlinks, referral traffic) to measure and refine content impact. Manage editorial calendars and digital content distribution to maximize engagement across relevant telecom channels. Stay updated on industry developments, regulatory changes, and competitive activities to keep content relevant and forward-thinking.

Key Responsibilities Agentic AI Development Design and implement autonomous, goal-oriented agents AI agents capable of decision-making, planning, and task execution with minimal human intervention Develop multi-agent systems that can collaborate, negotiate, and coordinate to solve complex business problems. Build AI agents with reasoning capabilities using scalable and robust tools on appropriate agentic AI platforms Build monitoring and debugging tools for non-deterministic agent behaviour/ Guardrai1ls to prevent harmful actions / Comprehensive testing frameworks / Roll back mechanisms / fault-tolerant agentic systems with robust error handling and recovery mechanisms Optimize agent performance for real-time decision making in high-stakes financial and telecom environments Advanced AI Architecture Architect compound AI systems that combine multiple AI models, tools, and data sources, domain-specific knowledge bases with memory systems and persistent state management; interacting with external APIs and databases Develop multi-modal agents capable of processing text, voice, and structured data Cross-Functional Partnership Collaborate closely with product managers to translate complex business requirements into agentic AI solutions Partner with domain experts in telecom and fintech to ensure AI agents understand industry-specific workflows and regulations Work with UX/UI teams to design intuitive interfaces for human-agent collaboration Engage with compliance and security teams to ensure agentic systems meet regulatory requirements Technical Leadership Mentor junior engineers and data scientists on ML best practices Lead technical discussions and architecture decisions for ML projects Collaborate with cross-functional teams including product, engineering, and data t Conduct code reviews and establish ML engineering standards Present findings and recommendations to technical and non-technical stakeholders Required Qualifications Education & Experience Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related field 8+ years of experience in machine learning, feature engineering, statistical analysis of data, deploying models to prod environment 1+ years of solid hands-on experience Agentic AI and deployment Technical Skills Programming Languages: Proficiency in Python, with experience in R, Scala, or Java preferred ML Frameworks: Expert-level experience with TensorFlow, PyTorch, scikit-learn Cloud Platforms: Experience with AWS, GCP, or Azure ML services Big Data Tools: Familiarity with Spark, Hadoop, Kafka, or similar distributed systems Containerization: Experience with Docker, Kubernetes for ML model deployment Databases: Vector Databases, Proficiency in SQL and experience with NoSQL databases (MongoDB, Cassandra) Version Control: Git, MLflow, DVC, or similar ML versioning tools ML Expertise Deep understanding of Traditional and Generational ML Models, hyperparameter tuning, feature engineering, EDA, quality measurement, Model convergence, regularization Understanding of model interpretability and explainability techniques Software Engineering Strong software engineering principles and design patterns Experience with microservices architecture and API development Knowledge of software testing, including unit testing for ML code Familiarity with monitoring, logging, and debugging distributed systems Understanding of security best practices for ML systems Preferred Qualifications Experience with large language models (LLMs) and generative AI Knowledge of federated learning, edge AI, or mobile ML deployment Experience with real-time inference and low-latency model serving Contributions to open-source ML projects or research publications Telecommunications domain knowledge and experience with BSS/OSS systems Leadership or technical mentoring experience