Digital Marketing Manager

🚀 Hiring: Python Developer at Deqode

⭐ Experience: 2+ Years

📍 Location: Indore

⭐ Work Mode:- Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

⭐ Must-Have Skills:-

✅ 2+ years of professional experience as a Python Developer

✅Proficient in Django or FastAPI

✅Hands-on with MongoDB & PostgreSQL

✅Strong understanding of REST APIs & Git

Profile:Azure Data Engineer

Experience: 5 Years

Locations: Nagpur | Nashik | Pune | Indore | Jaipur | Gurgaon | Noida | Bhopal | Gwalior | Mumbai

Mode:Hybrid

Mandatory Skills

• Azure Databricks - Autoloader, DLT (Delta Live Tables)
• Azure Data Factory (ADF) - ETL/ELT pipeline development
• Azure Synapse Analytics - Data warehousing solutions
• Delta Lake - ACID transactions and schema evolution
• Apache Kafka & Azure Event Hub - Real-time streaming
• SQL - Advanced querying and optimization
• Data Quality - Validation and monitoring frameworks

Key Responsibilities

• Design and develop data pipelines using ADF and Databricks
• Implement real-time and batch processing with Kafka/Event Hub
• Build Delta Live Tables for declarative ETL workflows
• Manage Delta Lake architecture with schema evolution
• Optimize data ingestion using Databricks Autoloader
• Implement data quality and monitoring solutions
• Performance tuning of Synapse Analytics queries

Required Qualifications

• 5+ years of hands-on Azure data engineering experience
• Strong programming skills in Python/Scala/Spark
• Experience with data warehousing and dimensional modeling
• Knowledge of CI/CD practices for data pipelines

Preferred

• Azure Data Engineer Associate or Databricks certification
• Experience with Power BI and version control (Git)

Role: Sr. Data Scientist

Exp: 4 -8 Years

CTC: up to 28 LPA

Technical Skills:

o Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

o Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

o Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

o Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

o Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

o Exposure to natural language processing (NLP) techniques is a plus.

Cloud & Infrastructure:

o Strong expertise in Azure cloud ecosystem,

o Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

If interested kindly share your updated resume at 82008 31681

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

Key Responsibilities

🧪 AI/ML Research & Development

• Develop AI models to identify learning difficulty patterns based on multi-domain assessments.
• Train models to classify LD categories (e.g., dyslexia, dysgraphia) from scoring + qualitative inputs.
• Build recommendation logic for intervention strategies based on child profiles and educator feedback.

📊 Data Processing & Pipeline

• Design data pipelines to preprocess structured and semi-structured data (scores, observations, logs).
• Work with educator-generated reports and build logic to convert qualitative insights into ML-readable formats.

🔎 Model Evaluation & Iteration

• Perform evaluation using accuracy, recall, precision; but also focus on interpretability and ethical AI.
• Use techniques like SHAP, attention weights, or decision trees for explainability in recommendations.

🤝 Collaboration & Integration

• Work closely with frontend/backend teams to integrate AI insights into the assessment tool UI.
• Sync with special educators to validate model predictions and continuously improve the output quality.

Responsibilities

• Our Site reliability engineers work on improving the availability, scalability, performance, and reliability of enterprise production services for our products as well as our customer’s data lake environments.
• You will use your expertise to improve the reliability and performance of Hadoop Data lake clusters and data management services. Just as our products, our SRE are expected to be platform and vendor-agnostic when it comes to implementing, stabilizing, and tuning Hadoop ecosystems.
• You’d be required to provide implementation guidance, best practices framework, and technical thought leadership to our customers for their Hadoop Data lake implementation and migration initiatives.
• You need to be 100% hand-on and as a required test, monitor, administer, and operate multiple Data lake clusters across data centers.
• Troubleshoot issues across the entire stack - hardware, software, application, and network.
• Dive into problems with an eye to both immediate remediations as well as the follow-through changes and automation that will prevent future occurrences.
• Must demonstrate exceptional troubleshooting and strong architectural skills and clearly and effectively describe this in both a verbal and written format.

Requirements

• Customer-focused, Self-driven, and Motivated with a strong work ethic and a passion for problem-solving.
• 4+ years of designing, implementing, tuning, and managing services in a distributed, enterprise-scale on-premise and public/private cloud environment.
• Familiarity with infrastructure management and operations lifecycle concepts and ecosystem.
• Hadoop cluster design, Implementation, management and performance tuning experience with HDFS, YARN,
• HIVE/IMPALA, SPARK, Kerberos and related Hadoop technologies are a must.
• Must have strong SQL/HQL query troubleshooting and tuning skills on Hive/HBase.
• Must have a strong capacity planning experience for Hadoop ecosystems/data lakes.
• Good to have hands-on experience with – KAFKA, RANGER/SENTRY, NiFi, Ambari, Cloudera Manager, and HBASE.
• Good to have data modeling, data engineering, and data security experience within the Hadoop ecosystem.Good to have deep JVM/Java debugging and tuning skills.

• Very good knowledge of building iOS Apps. 
• Experience in developing iOS SDKs will be preferred 
• Very good knowledge of Swift is mandatory
• Knowledge of Objective C will be an added advantage.
• Good knowledge of interface builder, Core animation, and Object-oriented concepts.
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.
• Experience with third-party libraries and APIs.
• The familiarity with frameworks & web technologies.
• Android experience is an added advantage.
• Team handling experience is an added advantage 

• To design and build advanced SDK for cross-platform.
• Client Interaction
• To collaborate with cross-functional teams to define, design, and ship new features.
• To RnD for new features
• To generate wireframes
• To design, develop, test, and implement a custom iOS framework as well as continuous production of new versions of the application.
• To design solutions independently.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Work on bug fixing and improving application performance.
• Operates effectively in a fast-paced, deadline-driven, collaborative and iterative programming environment.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

• Pleasant in communication
• Very good in interdepartmental coordination
• Innovative and out of box thinking
• Self-motivated and creative problem-solving skills

Benefits

•  
• Work from anywhere(remote)
• Internet Allowance
• Medical Insurance Cover

industry-standard 3D modeling programs and tools. Good spatial skills and a well honed sense of color and design will help you succeed in this job.

• Create and manage digital assets
• Interpret concept art and sketches to create virtual pixar quality cartoon characters, environment and props
• Follow design guidelines, asset naming conventions and other technical constraints
• Prototype and iterate on models and characters based on feedback from team members
• Create textures and UV maps
• Optimize, refine and correct model geometry
• Rig models and characters for animation
• Work with artists, animators and programmers to execute projects on time

• Should have hands-on experience in advanced JavaScript libraries and frameworks, such as AngularJS, KnockoutJS, Bootstrap, BackboneJS, ReactJS, DurandalJS, etc. (ReactJS is Mandatory) 
• Proficient in web markup, including HTML5, CSS3
• Good understanding of server-side CSS pre-processing platforms, such as LESS and SASS and experience in building/using REST APIs    
• Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery
• Good understanding of asynchronous request handling and partial page updates.