Data Analyst

Quality Analyst 

Experience Required: 1–4 years

About the Role :-

We are looking for a proactive Quality Analyst to ensure the highest quality of our software products. You will be hands-on with manual testing for new features, regression cycles, and ad-hoc investigative testing, as well as building automation solutions using Selenium or Playwright to streamline testing processes and improve efficiency.

Key Responsibilities

• Analyze requirements and design comprehensive test plans, including functional, regression, and ad-hoc scenarios.
• Execute manual test cases, report anomalies, and validate bug fixes through regression cycles.
• Perform exploratory testing to uncover edge cases and unexpected behaviors not covered by scripts. Create well-structured test cases and documentation covering functional, non-functional, and regression tests.
• Record, track, and report defects with detailed steps, severity, and expected behavior using tools like JIRA or equivalent.

Collaboration & Agile Engagement

• Coordinate with cross-functional teams developers, product managers, and stakeholders to clarify requirements and resolve defects.
• Participate in Agile ceremonies (stand-ups, retrospectives, sprint planning) and contribute to continuous improvement in QA practices

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a relevant field.
• Certifications such as ISTQB, CSQA, or similar. 

Key Responsibilities

Performance Optimization & Query Tuning

  • Tune query performance for PostgreSQL, EdgeDB, MongoDB Atlas, and Snowflake.

  • Analyze execution plans, identify bottlenecks, and implement indexing & caching strategies.

  • Work with engineering teams to optimize schema design for OLTP (Postgres/EdgeDB) and metadata storage (MongoDB).

Database Architecture & Scalability

  • Design multi-tenant scaling strategies for PostgreSQL and MongoDB Atlas (schema, sharding, partitioning).

  • Implement high-availability, replication, and clustering configurations.

  • Optimize Snowflake warehouse configurations for query speed and cost control.

Operational Excellence

  • Plan and execute zero-downtime database upgrades and schema migrations.

  • Set up proactive monitoring, alerting, and anomaly detection across all database systems.

  • Manage capacity planning for storage and compute resources across Postgres, MongoDB Atlas, and Snowflake.

Storage & Cost Optimization

  • Reduce storage costs via archiving, partitioning, compression, and lifecycle policies.

  • Optimize Snowflake compute and storage usage with warehouse tuning and data pruning.

  • Implement tiered storage strategies for cold vs. hot data.

Security, Compliance & Governance

  • Enforce encryption, access controls, and audit logging across all databases.

  • Ensure compliance with GDPR, SOC 2, and other relevant regulations.

Collaboration & Knowledge Sharing

  • Partner with backend, platform, and data engineering teams to ensure efficient database usage.

  • Provide training and documentation on query best practices and schema design.

Qualifications

Required:

  • 7+ years DBA experience, with deep expertise in PostgreSQL and MongoDB Atlas.

  • Strong understanding of multi-tenant architectures in production.

  • Experience with Snowflake query optimization, warehouse tuning, and cost management.

  • Proven success in executing zero-downtime upgrades and large-scale migrations.

  • Strong skills in query optimization, indexing, partitioning, and sharding.

  • Proficiency in scripting (Python, Bash, SQL) for automation.

  • Hands-on experience with monitoring tools (pg_stat_statements, Atlas monitoring, Snowflake Resource Monitors, Prometheus, Grafana).

Nice to Have:

  • Experience with EdgeDB or graph/relational hybrid databases.

  • Familiarity with Kubernetes-based database deployments (StatefulSets, Operators).

  • Background in distributed caching (Redis, Memcached).

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.

We need a trained Website Developer.

Must have a experience of 3 to 5 years.

Knowledge of React, Nod JS, HTML CSS.

Hello,

I am Prashant, Business Head at Jal Electricals

We “Jal Electricals” are famous and leading Supplier, Importer and Distributor with Digital Door Lock product lines, I need a professional Digital Marketing Agent to optimize and run extensive FB ads who know how to create profitable campaigns.

The audience and target are developed countries. There are many high-rise apartment buildings where it is easiest for us to bring this Digital Door Lock product closer to them

Our daily budget ranges from $500 to $900, and we can spend up to $200,000 per month as this is a large amount that we allocate for a single advertising campaign. Therefore, we need to ensure that the marketer has thoroughly researched the project before starting the implementation.

My product needs a marketing campaign to increase sales, so I would like to hire a Facebook advertising company with high expertise and experience in this field.

I would like to hire a Digital Marketer with experience in advertising to run Facebook ad campaigns for our business.

Desired Candidate Profile

• At least 3 years of hands-on experience in full recruitment cycle for technical roles
• Background in IT, knowledge of the basics of the latest IT technologies, programming languages
• Good command in verbal and written communication skills
• Excellent negotiation skills and candidate engagement skills
• Adaptibility to new technologies and business environment
• Positive attitude