Analytics Engineer

Bank of Georgia is looking to add a
DataOps Engineer
to join our team. As a member of this team,
DataOps Engineers’
primary role will be to work directly with the data and engineering team to building automated solutions for infrastructure, platform management and continuous delivery of large-scale. Monitoring, administration, maintenance of Data platforms

General Responsibilities
:

• Evaluate data importance and manage production of data pipelines
• Configure application and server monitoring tools for system performance, uptime and daily operations;
• Identify and implement opportunities for automating existing processes in order to streamline operations and support functions;
• Design and development of data engineering assets and scalable engineering frameworks to support various Business unit’s data demands and internal data analytics activities
• Expand and increase data platform capabilities to resolve new data problems and challenges by identifying, sourcing, and integrating new data
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re- designing infrastructure for greater scalability, etc
• Implement solutions that adhere to architecture best practices
• Define and build the data pipelines that will enable faster, better, data-informed decision-making within the business
• Migration of solutions from legacy systems to cloud data platform
• Maintain platform performing regular tasks such as user management and audit, resource utilisation, alerts monitoring.
• Modify existing ETL processes in order to achieve automation where possible and to accommodate changes in the data structure
• Have a good understanding of data platform best practices to achieve economies of scale, cost reduction and efficiencies.

Qualifications:
Work Experience:
2 or more years’ experience of similar role;

Education:
Bachelor's degree in Information Science / Information Technology, Computer Science, Physic

Knowledge, Skills and Abilities:

• Knowledge of relational DBs and Data Platforms;
• Experience with Kubernetes Platform;
• Experience with one or more of the IaaS provider is a plus (Azure, AWS, etc.);
• Experience with Airflow and Mlflow platforms;
• Experience with Hadoop, Hive and Big data ecosystem
• Experience with Kafka, NiFi and ETL tools;
• Experience with Python
• Experience with Feast API
• Familiarity with Git and continuous integration systems (Jenkins, etc.);
• An understanding of enterprise systems including Windows, UNIX/Linux systems, IP networking (TCP/IP, HTTP, DNS), and security fundamentals;

How To Apply
Interested candidates, please fill in the information, attach your CV and submit by clicking “apply for position now” Deadline is
Aug, 28, 2026.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.

And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?
Refer them!

Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

With the transition to a new IT HR architecture, the replacement and implementation of new systems, we need for a new role within the HR Tech team - HR Analyst. This role will accumulate data from all systems and prepare advanced analytics for data-driven decisions. The goal is to deliver not only descriptive analytics but also predictive analytics and insights that will impact the business.

Responsibilities

• Integrate and consolidate HR data from multiple sources and systems, ensuring data quality, consistency, and accessibility for advanced analysis.
• Perform statistical analysis, build predictive models, and develop forecasting for key areas.
• Create and maintain interactive dashboards, visualizations, and regular/advanced reports that transform complex datasets into clear, business-relevant insights for leadership and executives.
• Translate business questions from stakeholders into analytical projects, deliver actionable recommendations, and influence data-driven strategic decisions across the organization.
• Lead end-to-end analytics initiatives in a fast-paced environment, from requirements gathering to implementation and follow-up.
• Identify workforce trends, risks, and opportunities through predictive and diagnostic analytics, and propose interventions to improve metrics, and overall talent strategy.
• Collaborate closely with leaders to define KPIs, support ad-hoc requests, and continuously evolve the analytics maturity toward a fully data-driven HR function.

Requirements

• 3+ years of hands-on experience in HR Analytics
• Degree in Statistics, Economics, Mathematics, Computer Science, Data Science, Sociology
• Skills in statistical analysis, data modelling, dashboarding/visualization, and core data handling concepts
• Ability to turn complex datasets into clear, actionable insights that drive decisions
• Experience with predictive analytics and insights
• Track record of successfully leading projects involving multiple stakeholders in a dynamic, fast-moving environment
• English at B2+
• End-to-end project leadership

We’re looking for a curious and impact-driven
Machine Learning Engineer
to join our team and accelerate the development of robust, high-performing ML solutions across key business areas -
including credit scoring, collection, antifraud, sales and other.
This role combines hands-on development with strategic input, offering a chance to work on high-stakes, high-visibility projects from day one, collaborating with multiple departments and stakeholders to drive measurable business impact through better models

Preference will be given to candidates
open to relocating to Manila
Your Future Tasks

• Own the end-to-end lifecycle of ML models: from EDA, feature generation, and hypothesis testing to production deployment and monitoring
• Collaborate with cross-functional teams - especially Collection and Product - to identify high-leverage modeling opportunities
• Evaluate model performance and business impact, and iterate for continuous improvement
• Explore and integrate new data sources (internal and external), identifying additional predictive signals
• Work with production systems to ensure models are scalable, observable, and maintainable

What We Expect From Candidate

• 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments
• Solid foundation in classical ML techniques and fluency in core libraries such as Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, XGBoost/LightGBM/CatBoost etc
• Strong proficiency in Python and SQL, experience with version control
• Strong sense of ownership and accountability
• Experience working with AWS (or other cloud environments) is a plus