Job Title: Machine Learning Engineer Company: Neural Nurture Job Category: Machine Learning Roles & Responsibilities: Role Overview * ML Systems \& Infrastructure : Building robust training and inference pipelines, model serving, and monitoring systems. * NLP Engineering : Deploying and optimizing language models for tasks such as conversational AI, information extraction, and search. * MLOps : Establishing CI/CD for ML, experiment tracking, model versioning, and automated retraining workflows. Responsibilities * Design, build, and maintain end\-to\-end ML pipelines \- from data ingestion and feature engineering to model training, evaluation, and deployment. * Optimize models for latency, throughput, and cost in production environments. * Collaborate with Applied Scientists to translate research prototypes into production\-ready systems. * Build and maintain ML infrastructure including experiment tracking, model registries, and monitoring/alerting for model performance drift. * Develop APIs and services to expose ML capabilities to downstream applications. * Write clean, well\-tested, and documented code following engineering best practices. * Troubleshoot and debug issues across the full ML stack \- data, training, and serving. Work Location: Indore, Madhya Pradesh, India Availability: Full time
Job Title: Data Architect – Snowflake/Databricks Company: Systango Technologies Ltd Job Category: Machine Learning Roles & Responsibilities: Systango is a technology company listed on the NSE, delivering innovative digital solutions across Generative AI, AI/ML, Data Engineering, Analytics, Blockchain/Web3, Cloud, and FinTech. We partner with global clients to build scalable, secure, and high\-performance technology solutions.Role Overview ----------------- We are looking for an experienced Data Architect with strong expertise in Snowflake/Databricks to design and lead the implementation of scalable, cloud\-native data platforms. The ideal candidate will combine deep technical expertise in modern data architecture with hands\-on experience in data engineering, cloud ecosystems, data governance, and enterprise data strategy. You will work closely with engineering teams, business stakeholders, and client\-facing teams to translate business requirements into robust data architectures that support analytics, reporting, and AI/ML use cases.Key Responsibilities ------------------------ * Data Architecture: Define end\-to\-end data architecture, including data lakes, lakehouses, modern data warehouses, data marts, and enterprise data platforms. * Snowflake \& Databricks: Design and optimize data solutions using Snowflake OR Databricks, selecting appropriate architectural patterns based on business and technical requirements. * Data Engineering: Architect scalable batch and streaming pipelines, ETL/ELT workflows with medallion architecture, data transformations using dbt, and orchestration frameworks. * Cloud Platforms: Design data solutions on AWS, Azure, or GCP, integrating cloud storage, compute, security, and networking services. * Data Modelling: Define conceptual, logical, and physical data models, including dimensional modelling, Data Vault 2\.0, and normalized data structures. * Performance \& Cost Optimization: Optimize query performance, compute utilization, storage, workload management, and overall platform costs. * Data Governance \& Security: Establish standards for data quality, lineage, metadata management, access control, encryption, privacy, and regulatory compliance. * Architecture Standards: Define reusable architecture patterns, engineering best practices, coding standards, CI/CD processes, and data platform design principles. * Technical Leadership: Mentor data engineers and technical leads, conduct architecture reviews, and guide teams through complex technical decisions. * Stakeholder Collaboration: Work with product owners, business stakeholders, and clients to understand requirements and communicate architectural decisions effectively. * AI \& Analytics Enablement: Build data foundations that support BI, advanced analytics, machine learning, and Generative AI applications, including RAG and vector search use cases where applicable. Work Location: Indore, India Availability: Full time
Job Title: Data Architect – Snowflake/Databricks Company: Systango Job Category: Machine Learning Roles & Responsibilities: Systango is a technology company listed on the NSE, delivering innovative digital solutions across Generative AI, AI/ML, Data Engineering, Analytics, Blockchain/Web3, Cloud, and FinTech. We partner with global clients to build scalable, secure, and high\-performance technology solutions.Role Overview ----------------- We are looking for an experienced Data Architect with strong expertise in Snowflake/Databricks to design and lead the implementation of scalable, cloud\-native data platforms. The ideal candidate will combine deep technical expertise in modern data architecture with hands\-on experience in data engineering, cloud ecosystems, data governance, and enterprise data strategy. You will work closely with engineering teams, business stakeholders, and client\-facing teams to translate business requirements into robust data architectures that support analytics, reporting, and AI/ML use cases.Key Responsibilities ------------------------ * Data Architecture: Define end\-to\-end data architecture, including data lakes, lakehouses, modern data warehouses, data marts, and enterprise data platforms. * Snowflake \& Databricks: Design and optimize data solutions using Snowflake OR Databricks, selecting appropriate architectural patterns based on business and technical requirements. * Data Engineering: Architect scalable batch and streaming pipelines, ETL/ELT workflows with medallion architecture, data transformations using dbt, and orchestration frameworks. * Cloud Platforms: Design data solutions on AWS, Azure, or GCP, integrating cloud storage, compute, security, and networking services. * Data Modelling: Define conceptual, logical, and physical data models, including dimensional modelling, Data Vault 2\.0, and normalized data structures. * Performance \& Cost Optimization: Optimize query performance, compute utilization, storage, workload management, and overall platform costs. * Data Governance \& Security: Establish standards for data quality, lineage, metadata management, access control, encryption, privacy, and regulatory compliance. * Architecture Standards: Define reusable architecture patterns, engineering best practices, coding standards, CI/CD processes, and data platform design principles. * Technical Leadership: Mentor data engineers and technical leads, conduct architecture reviews, and guide teams through complex technical decisions. * Stakeholder Collaboration: Work with product owners, business stakeholders, and clients to understand requirements and communicate architectural decisions effectively. * AI \& Analytics Enablement: Build data foundations that support BI, advanced analytics, machine learning, and Generative AI applications, including RAG and vector search use cases where applicable. Work Location: Indore, India Availability: Full time
Primary Skillset and Responsibilities. Understand client requirements for ERPNext and suggest possible solutions. All aspects of development including server-side, API, and client-side logic. Manage updates and upgrades of the ERPNext system for existing projects. Ensure a smooth transition for current customizations with upgrades of Frappe and ERPNext. Build complete applications on the Frappe framework from scratch as per project requirements. Providing written knowledge transfer material. Strong proficiency in Frappe and ERPNext, Python, JavaScript, Jinja templates MySQL/Mariadb, AWS/Azure/Custom Linux VM deployment, and CI/CD pipelines.
Beverages . Cab Facility for Female Employees . Fun Friday . Bachelor s degree in IT or related field Preferred Skills: . 2+ years of Workday development experience (Studio,EIB,Core Connectors,APIs) Job Role -: Workday Developer (2+ Years of Experience) Job Summary: Seeking a Workday Developer to enhance and support our Workday environment with expertise in configuration, integrations, and reporting to streamline HR and financial processes. Key Responsibilities: Customize Workday modules (HCM, Payroll, Financials) to meet business needs. Develop and maintain integrations using Workday Studio, EIB, Core Connectors, and APIs. Create and optimize Workday reports and dashboards. Collaborate on requirements and deliver technical solutions. Test, troubleshoot, and document configurations and integrations. Qualifications: Bachelor s degree in IT or related field. 2+ years of Workday development experience (Studio, EIB, Core Connectors, APIs). Strong understanding of HR and finance processes. Preferred Skills: Knowledge of Agile, version control (Git), and excellent analytical skills. Preferred Skills: Familiarity with Agile, CI/CD tools, version control (e.g., Git), and JavaScript/Java/Python. Strong analytical, communication, and teamwork skills. Perks & Benefits: Health Insurance Beverages Cab Facility for Female Employees Fun Friday Team Party
Job Title: SDE 2 Backend (Python/Django, AWS) Experience: 2 Years Location: Vijaynagar (AB Road), Indore, Madhya Pradesh, India Employment Type: Full-time Salary: 7-8 LPA CTC About the Role We are looking for a Senior Backend Developer with strong expertise in Python (Django Framework) and AWS Cloud Infrastructure . The ideal candidate will have hands-on experience in building scalable backend systems, designing APIs, managing cloud infrastructure, and deploying containerised microservices. You.
Python with experience in building ML/NLP applications. experience with Deep Learning, Machine Learning, and Natural Language Processing. Proficiency in working with LLMs (e.g., GPT,Gemini, LLaMA, Mistral) and RAG architecture. Experience with Agentic AI frameworks and autonomous agent design. Familiarity with FastAPI for building RESTful APIs. Experience with CI/CD pipelines and deploying solutions on Azure Cloud, GCP and AWS Solid understanding of data structures, algorithms, and software eng.
The Python Developer will collaborate and manage teams,mentor junior developers,and contribute to key technical decisions. Responsibilities include improving development processes,writing maintainable code,and leading software development initiatives.
The Python Developer will collaborate and manage teams,mentor junior developers,and contribute to key technical decisions. Responsibilities include improving development processes,writing maintainable code,and leading software development initiatives.
torcai digital media private limited Indore, Madhya Pradesh