Azure Cloud Engineer

• 4-6 years of overall experience in the following:

• Relational databases, .Net
• Object Oriented Programming, Design Patterns, and worked in Agile development environment.
• API-driven solution stack, ETL experience, handling large volumes of data in data warehouse environment, extensive SQL experience
• Hosting in azure high-availability cloud with webserver mix
• 3-5 years working on
• Azure Cloud experience with Cloud native development as well as migration of existing applications.
• Hands-on development and implementation experience in Managed SQL, container architecture, Azure VMs.
• Writing and optimizing SSAS queries
• 2-3 years of experience in frontend development with emphasis on Angular frameworks

Preferred Skills

• Full stack engineer with ability to write object-oriented, self-documenting, maintainable code.
• Container Creation and Orchestration (Docker, Kubernetes).
• Understanding of Microservices architecture and designing and implementing RESTful APIs.
• Sounds understanding of data processing fundamentals, data warehouse concepts and best practices.
• Experience with Azure Event Hub, Azure App services and Azure Service Bus.
• Continuous Integration and Deployment (GitHub or Azure DevOps preferred).
• Infrastructure Automation
• E2E test automation.
• Creation of architectural specifications, ensuring feasibility, functionality, and integration with existing systems/platforms.
• Proven experience in guiding, and mentoring team members in architecting, designing, and planning out complex technical implementations.
• Leading the collection and documentation of user requirements as well as the development of user stories and estimates into technology solutions for product features, in collaboration with Product Owner/Manager.
• Creation of detailed technical design and development of applications using Azure Cloud services. Internal Use Only
• Responsible for prioritizing problems, incidents, and service requests and managing process with Product Owner.
• Champions Agile and DevSecOps adoption by driving product team to move forward on the Agile Maturity Journey

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Minimum 1-3 years of experience in graphic design, branding, illustrations etc in Creative Agencies. Experience in basic graphic design software - Adobe Photoshop, Adobe Illustrator etc. Experience in Animation software - Flash/After Effects is preferred Good communication skills. Experience in Adobe Creative Suite (at least Photoshop, Illustrator and After Effects). Experience with other creative software is a big plus.

Freshers are eligible to take interview

Video Editor:

1+ years of video editing and design experience in Adobe Premiere Pro and After Effects (including sound sync, audio noise removal, colour correction, title animations, should work on templates) Ability to work independently and be a proactive learner Good communication skills verbal and written Excellent project management skills and ability to deliver projects according to timelines.

• 1-3 years of experience or training received as a Software Tester for web and mobile applications or similar roles. #software testing
• Good knowledge of Test case preparation.
• Good written and verbal communication skills.
• Strong analytical and documentation skills to present findings to team members.
• Analyze client requirements for validity and feasibility
• Good logical thinking
• Execute all levels of testing - Software Tester - Manual testing
• Detect and track defects and inconsistencies