Jobs Data & Analytics

bill_line is a technology platform providing financial solutions for online businesses.
We help clients simplify complex financial processes and scale their businesses.

Our product is a flexible platform that we adapt to the needs of each client. We take on part of the technological and financial processes so that companies can focus on growth and operate more efficiently.

We apply the same approach within our team:
flexibility, responsibility, and focus on results.
If this sounds like you — we’d be happy to get to know you.

Why bill_line?

We create solutions that work like a “Swiss army knife” in the fintech world 🌍
for businesses that accept payments worldwide.

Our approach includes:

• full client support: from the initial request to integration and transaction processing
• close collaboration between bizdev, support, legal, and finance teams
• deep understanding of the client’s business, not just service delivery

We are proud of our results, but our main value is people.
We have a strong, professional team with whom it is exciting to work, grow, and achieve ambitious goals together.
 

Daily responsibilities:

— analysis of the company’s accounting business processes;

— familiarization with current processes, searching for ways of optimization, reorganization, and automation;

— gathering requirements from stakeholders;

— conducting interviews with users, systematization and documentation of requirements;

— participation in agreeing planned changes to the configuration and preparation of technical specifications (TS), task assignment in Jira;

— coordination of development;

— testing of solutions;

— support of solution launch into production environment;

— training and support of users;

— user support, creation of instructions in Confluence;

— documentation of business processes;

— building diagrams, regulations, technical descriptions;

— identification and fixing of errors in the existing accounting system.
 

We expect from the candidate:

— BA experience of 3+ years;

— experience with 1C and/or BAF platform products;

— basic knowledge of management accounting.
 

💡 What we offer:

🌐 Comfortable offices
A modern office in Kyiv (Zvirynetska metro station) 

👨‍💻 Everything for efficient work
Top-tier equipment, necessary services, and tools — so you can focus on results, not routine

⚡ Flexible work format
Hybrid: 3 days in the office (Mon/Wed/Fri)
An office that remains comfortable even during blackouts: stable internet, autonomous power supply, heating, gym area, shower, and even a place to rest

🏖️ Work-life balance
24 days of paid vacation + compensation for unused days

💊 Health care
Paid sick leave + medical insurance
Mental health support (sessions with a psychologist)

🥗 Daily comfort
Corporate lunches based on your preferences

🎁 Nice bonuses
Gifts for birthdays and work anniversaries

How we spend time together

😄 A team you enjoy not only working with
We are more than just colleagues — we genuinely enjoy spending time together. We hold regular events and corporate gatherings. Various formats — such as local team buildings, group hiking trips, or even surfing.

Culture💙 People care — not just words We support each other, respect everyone’s expertise, and create an environment where it is comfortable to grow.

📚 Learning and development
We cover courses, training, and seminars.
We attend international fintech, e-commerce, and crypto conferences.
We support learning English and other languages, especially for expansion into new markets.

Languages:

🇬🇧 English — B1+
🇺🇦 Ukrainian — fluent

Client

Our client is a large international manufacturing company listed in the S&P 500, operating a complex, multi-site global environment. As part of a Data Strategy Development initiative, the organization is defining a clear, pragmatic, and scalable data strategy to improve decision-making, reduce manual processes, strengthen data ownership, and establish a strong foundation for future analytics and digital transformation. The engagement focuses on strategy definition and is expected to continue into platform and analytics implementation phases.

Project overview

This initiative focuses on establishing a robust, enterprise-wide data strategy and building a data-driven culture. The project involves standing up a modern target operating model, deploying advanced data platforms, and creating the data leadership architecture necessary to support long-term business capabilities.

Position overview

The Data Consultant will lead the people and process aspects of the organization's data strategy, specifically driving data governance, change management, and the data literacy agenda. Serving as a business-facing leader, this role acts as the primary bridge between business stakeholders, executive sponsors, and the technical delivery teams. The ideal candidate possesses strong business acumen paired with sufficient technical literacy to maintain credibility with data architecture teams and ensure seamless strategic alignment.

Responsibilities

• Data Governance: Lead the implementation of the data governance blueprint, including the operating model, defining roles (data owners and stewards), establishing policies and standards, and facilitating and sustaining governance forums.
• Change Management: Own and execute the comprehensive change management plan, covering stakeholder engagement, communications, user adoption, and the transition to the target operating model.
• Data Leadership: Drive the data leadership and data literacy agenda to foster a mature, data-driven organizational culture and build internal capabilities.
• Stakeholder Partnership: Collaborate directly with business and functional leaders to capture requirements, prioritize data use cases, and secure organizational buy-in.
• Executive Alignment: Maintain alignment across executive sponsors, the Data Architect, and change program leads regarding project scope, priorities, risks, and milestones.
• Technical Alignment: Ensure all governance processes and adoption strategies are technically grounded by maintaining a strong baseline understanding of the deployed data platforms and architecture.
• Artifact Ownership: Author and quality-assure core strategic artifacts, including governance blueprints, operating models, and change plans tailored for executive audiences.

Requirements

• Proven track record of leading data governance and/or data management programs within a complex enterprise environment.
• Strong change management capability, with demonstrated experience in stakeholder engagement, communication strategy, and operating-model transitions.
• Proven ability to effectively engage, collaborate with, and influence senior and C-level stakeholders.
• Sound technical literacy regarding data platforms and analytics, enabling close partnership with architects and engineers.
• Exceptional communication and facilitation skills, with a verified ability to translate complex concepts between business and technical audiences.

Nice to have

• Experience in manufacturing or industrial enterprise environments.
• Background in large-scale data or digital transformation programs.
• Familiarity with Azure, Snowflake, and modern cloud data platforms.
• Experience contributing to executive-level strategy reports and board-level materials.
• Consulting or principal-level advisory experience in global organizations.

Our client is a prominent global wealth and asset management firm focused on delivering innovative investment solutions and a networked ecosystem of international opportunities. The organization operates within a highly regulated environment, prioritizing the transformation of complex concepts into actionable financial strategies for a global clientele.

Project overview

The project involves the development and expansion of a centralized, scalable data ecosystem. Having successfully ingested the initial data source, the team is now moving into a high-growth phase to integrate multiple high-value financial and operational data streams. The goal is to provide C-level executives and advisors with a unified, reliable reporting layer for strategic decision-making.

Position overview

As a Senior Data Engineer, you will be a technical cornerstone of the data platform team. You will be responsible for the end-to-end engineering of data pipelines, from ingestion to transformation, ensuring that the Snowflake warehouse is optimized for complex wealth management analytics. You will work at the intersection of sophisticated financial data and enterprise-grade engineering.

Responsibilities

• Build and maintain scalable data pipelines for ingestion into Snowflake.
• Develop and manage transformations using dbt, including modeling, testing, and comprehensive documentation.
• Design and orchestrate complex data workflows using Prefect.
• Utilize Workato to integrate and normalize data from critical SaaS platforms, including Addepar, NetSuite, Salesforce, Morningstar, and UKG.
• Design specialized data models tailored for portfolio, client, and financial reporting.
• Ensure data quality, lineage, and governance best practices while optimizing performance and costs within Snowflake.
• Partner with Tableau developers and business stakeholders to align technical delivery with reporting needs.

Requirements

• 5+ years of experience in data engineering with a focus on building modern data platforms.
• Hands-on experience with Snowflake and dbt, supported by strong SQL skills and advanced data modeling expertise.
• DBT certification.
• Proven familiarity with ETL/ELT patterns and API-based ingestion.
• Practical experience with orchestration tools such as Prefect or Airflow.
• A solid understanding of financial or wealth management data structures.

Nice to have

• Experience supporting reporting requirements for Tableau-based visualization layers.
• Experience within the Wealth Management or Investment Management sector, with specific familiarity handling investment and portfolio-related data.
• Understanding of regulatory requirements regarding financial data handling and privacy.
• Background in integrating market data providers such as Bloomberg or Morningstar.
• Advanced SQL skills and experience with Python for data engineering tasks.

Mine Marketing works on the connection between advertising, data, and automation. We’re looking for a Technical Data & Automation Specialist to join our team and work closely with leadership on data, automation, system development, troubleshooting, and production operations.


What you will do with us:
- Connect advertising systems with internal data systems
- Build and improve pipelines that handle bulk in real time 
- Dig deep into performance issues and translate data into business decisions 

What we're looking for 🎯
- Hands-on experience with Claude Code and building automations
-High command of SQL: complex queries, optimization, performance thinking 
- Understanding of Data Pipelines, ETL, and Data Processing Processes
- Familiarity with performance metrics: ROI, CPA, CTR and the ability to connect data to decisions
- Analytical, entrepreneurial thinking, and true independence in complex tasks

Significant Advantage
- Experience in production systems in the advertising / performance worlds
- Working with Meta Ads/Google Ads (APIs)
- AWS/GCP experience

What awaits you ✨
- Real data that drives business decisions
- Real technical challenges: scale, reliability, accuracy 
- Lots of ownership and freedom to move things fast


What we offer:
- Opportunities for professional development and personal growth 🚀

- Competitive salary, reasonable and fair working conditions 💵

- A ridiculously awesome team and work environment 🎉

- Training opportunities, including paid courses and webinars 💻

- Remote working conditions 🏠

- Generous PTO and Holidays 🌴

Join us and let's make some social media magic happen! Apply now!

About the Role

We are looking for a Senior Data Engineer with hands-on Palantir Foundry experience to design, build, and operate scalable data platforms supporting analytics, operations, and data-driven decision-making. You will work on complex, production-grade data systems and collaborate closely with product, analytics, and engineering teams.

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Palantir Foundry
• Develop and manage data models, transformations, and workflows within Foundry
• Integrate data from multiple sources (APIs, databases, files, event streams)
• Ensure data quality, reliability, security, and governance across data products
• Optimize performance and scalability of data pipelines and analytics workloads
• Collaborate with product managers, analysts, and stakeholders to translate business needs into data solutions
• Support analytics, reporting, and advanced use cases (including ML/AI where applicable)
• Contribute to best practices, documentation, and data platform standards

Requirements

• 5+ years of experience as a Data Engineer (senior level)
• Strong hands-on experience with Palantir Foundry in production environments
• Excellent proficiency in Python and SQL
• Experience building and operating cloud-based data platforms
• Solid understanding of data modeling, ETL/ELT, and data warehousing concepts
• Strong focus on data quality, governance, and security
• Experience working in Agile, cross-functional teams
• Must be located in Europe

Nice to Have

• Palantir Foundry certification
• Experience with AWS, Azure, or GCP
• Exposure to analytics engineering or data product development
• Experience in regulated or enterprise environments
• Familiarity with CI/CD and infrastructure-as-code practices

Employment type: Freelance / Project-based
Duration: 6+ months
Location: Czech Republic, Hungary, Slovakia (must be based in Europe)
Language: English (professional working proficiency required)

🚀We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project. The role is focused on building, maintaining, and optimizing scalable data pipelines, data warehouses, and cloud-based data platforms for high-load business environments.

The ideal candidate has strong hands-on experience with Python, SQL, Spark/PySpark, cloud data services, and modern ETL/ELT pipelines. Experience with AWS is highly important, while Databricks, Snowflake, BigQuery, dbt, Airflow, Kafka/Kinesis, and Terraform are strong advantages.

🧩Responsibilities:

• Design, build, and maintain scalable batch and near-real-time data pipelines.
• Develop and optimize ETL/ELT workflows using Python, SQL, Spark/PySpark, Airflow, dbt, or similar tools.
• Work with cloud-based data platforms and services, especially AWS.
• Build and support data lakes, lakehouse architectures, and data warehouses.
• Integrate data from APIs, databases, SaaS tools, files, and streaming/event-based sources.
• Optimize data processing performance, query execution, partitioning, and storage costs.
• Ensure data quality, reliability, monitoring, logging, and validation across pipelines.
• Collaborate with engineers, analysts, BI teams, data scientists, and business stakeholders.
• Support documentation, data modeling, and data dictionary creation where needed.
• Contribute to CI/CD, infrastructure automation, and cloud data platform improvements.

🔑Requirements:

• 3-5 years of experience in Data Engineering or closely related roles.
• Strong hands-on experience with Python, SQL, and Spark/PySpark.
• Experience building and maintaining production-grade ETL/ELT pipelines.
• Strong understanding of data warehouses, data lakes, lakehouse architectures, and data modeling.
• Experience with AWS data services such as S3, Glue, Lambda, Athena, EMR, Redshift, Firehose, Kinesis, SQS, or EventBridge.
• Experience with orchestration and transformation tools such as Airflow, dbt, Prefect, Dagster, or similar.
• Experience with at least one modern data platform: Databricks, Snowflake, BigQuery, Redshift, or similar.
• Understanding of data quality, monitoring, observability, and performance optimization.
• Experience with Git, CI/CD, Docker, Terraform, AWS CDK, or other DevOps/IaC tools.
• Ability to work independently, communicate clearly, and take ownership of delivery.

• English level: Upper-Intermediate or higher.

   

🧩Nice to Have:

• Experience with Kafka, Kinesis, Pub/Sub, or other streaming/event-driven technologies.
• Experience with Delta Lake, Iceberg, Hudi, or other lakehouse table formats.
• Experience with Kubernetes.
• Experience in high-load, fintech, healthcare, telecom, eCommerce, SaaS, or analytics-heavy products.
• Experience with BI/reporting tools such as Tableau, Looker, Metabase, Power BI, or similar.
• Exposure to AI/ML or LLM-related data workflows.
• Experience with GCP or Azure data services.

🎯We Offer: 

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

Uvik Software

Опис

🚀Join a team where data drives impact

At Uvik Software, we build world-class dedicated development teams and deliver high-quality software solutions to clients worldwide.

We’re passionate about clean code, strong collaboration, and modern technologies. Now, we’re looking for a Data Analyst who thrives on transforming data into strategic insights and has a solid background with Snowflake.


🎯About the Role

As a Data Analyst, you will play a key role in unlocking the value of data for our clients. You’ll work with modern cloud data infrastructures, focusing on Snowflake, to support high-impact analytics projects.


🔑Responsibilities

Analyze large-scale datasets using SQL, delivering clear, actionable insights
Perform advanced querying, profiling, and data transformation directly in Snowflake
Design and maintain ETL pipelines for efficient data preparation
Build interactive dashboards and reports using Power BI or Tableau
Access and manage cloud data via AWS services (e.g., S3, Glue, Redshift)
🧩Requirements

5+ years of experience as a Data Analyst working with large datasets
2+ years of hands-on experience with Snowflake (querying, modeling, optimization)
Strong SQL skills for complex querying and transformations
Proficiency with data visualization tools: Power BI and/or Tableau
Solid understanding of ETL processes, data modeling, and data warehousing
Experience with AWS data tools (S3, Glue, Redshift)
Strong English communication skills (verbal and written)

🌍 What We Offer:

We provide an environment where each specialist can grow professionally and work on exciting, high-impact projects.

1) Paid vacation and sick leave 
2)We provide the equipment you need to work comfortably (if required) 
3)We cover 50% of courses if you want to grow professionally 4)Regular salary reviews based on your performance 
5) Competitive salary, depending on your experience 
6) Always on-time payments — no delays 
7)A normal, supportive team without unnecessary bureaucracy

🚀 Apply now and be part of a tech-driven, globally distributed team!

What You’ll Own

• Build production systems for AI-driven vulnerability research and exploit development.
• Develop tooling for vulnerability discovery, triage, reproduction, and validation at scale.
• Work across OS internals, binaries, runtimes, kernels, dynamic analysis, instrumentation, and low-level performance.
• Partner with vulnerability researchers, security operators, and engineers to automate manual cyber workflows.
• Own problems end-to-end, from research and design to shipped production code.

Requirements

• 2+ years of vulnerability research, offensive security, or low-level engineering experience. Exceptional new grads with strong CTF, systems, or exploitation work will be considered.
• Hands-on experience with reverse engineering, binary analysis, exploit development, fuzzing, dynamic analysis, bug hunting, CTFs, or comparable low-level security work.
• Deep low-level systems fluency, including OS internals, kernels, runtimes, memory corruption, debugging, dynamic instrumentation, or performance-sensitive systems.
• Strong builder mindset and ability to ship reliable tools and production systems.
• Comfortable working in ambiguity and moving fast.
• Willing to relocate to Washington DC after an initial period, with full relocation support. The role is expected to be in-office 5 days per week.

Nice to Have

• Strong CTF background, especially pwn, rev, kernel, browser, or systems-heavy challenges.
• Published vulnerability research, CVEs, exploit writeups, or security talks.
• Experience with fuzzing, symbolic execution, emulation, program analysis, or binary rewriting.
• Open-source contributions to low-level security, reversing, debugging, tracing, fuzzing, or OS tooling.
• Exposure to ML / AI systems, especially applied to code, binaries, security automation, or program analysis.
• Early-stage startup, founder, or early-engineer experience.

What We Look For

• Strong vulnerability research instincts.
• Low-level technical depth.
• Builder mindset — able to turn research workflows into scalable systems.
• Comfort with ambiguity, speed, and high ownership.
• Motivation to help build a category-defining company in AI-native offensive cyber.

Must-have skills

• Ad-monetization domain (25%) — deep understanding of RTB, Header Bidding, Waterfalls, Fill Rate, eCPM/CPM optimization, and advertiser demand.
• Ad mediation platforms + mobile advertising SDKs (20%) — hands-on integration and optimization.
• Software development (20%) — strong backend, distributed systems, APIs, and performance optimization.
• Mobile development (15%) — Android and/or iOS.
• Analytical, data-driven optimization (12%) — analyze large-scale monetization data and implement data-driven improvements.
• High-scale consumer app experience (8%) — experience with high-scale consumer applications reaching millions of users.

Nice-to-have skills

• Hands-on with AppLovin MAX, Google Ad Manager, AdMob, Unity Ads, or IronSource.
• Building internal optimization engines using AI or Machine Learning.
• Familiarity with attribution, user segmentation, A/B testing, and predictive monetization models.

Responsibilities

• Design, develop, and optimize the core monetization infrastructure across multiple mobile applications.
• Improve ad waterfall and bidding performance to maximize eCPM, fill rate, ARPDAU, and total ad revenue.
• Integrate and optimize mediation platforms (AppLovin MAX, AdMob, LevelPlay, etc.).
• Build intelligent optimization systems for ad placement, frequency, segmentation, and pricing.
• Develop backend services and automation tools for real-time monetization decisions.
• Analyze monetization performance using large-scale data and implement data-driven improvements.
• Optimize SDK integrations, latency, memory usage, and overall ad performance.
• Work closely with Growth, Product, and Data teams to continuously increase LTV and user monetization.
• Research and implement new monetization technologies, bidding strategies, and demand sources.

What you'll own

• Increase overall monetization performance across millions of users.
• Maximize fill rate, eCPM, advertiser competition, and total revenue.
• Build the next generation of the monetization engine using automation and AI.
• Deliver measurable business impact through engineering excellence.

We are looking for a Middle AI Engineer who will help us build, integrate, and scale AI-powered products that solve real business challenges.

This role is focused on creating production-ready AI solutions — from backend services and LLM integrations to RAG systems, AI agents, and workflow automation. You will work closely with Product Managers, developers, and business teams to transform ideas into reliable AI products that deliver measurable value.

What you will do:

• Develop production-ready AI services, backend components, APIs, and integrations for internal and external AI products.
• Design and implement AI solutions based on Large Language Models (LLMs), RAG architectures, AI agents, and workflow automation.
• Build and optimize Python-based services and backend infrastructure with a focus on scalability, reliability, and maintainability.
• Integrate and work with different types of AI models — including proprietary APIs (OpenAI, Anthropic, Gemini, etc.) and locally hosted models.
• Design and improve RAG pipelines: data processing, embeddings, vector search, retrieval optimization, knowledge bases, and AI response quality improvement.
• Develop AI agent systems and automation workflows, including integrations with external APIs, corporate systems, and internal tools.
• Conduct technical experiments with models, prompts, architectures, and inference parameters to identify the most effective solutions.
• Implement AI quality evaluation and monitoring approaches: analyze model performance, improve reliability, reduce errors, and optimize system efficiency.
• Collaborate with Product Managers and cross-functional teams to translate product requirements into technical solutions and scalable architectures.

• Ensure AI services are secure, stable, and production-ready by monitoring performance, resolving issues, and continuously improving systems.

   

What we expect from you

• 3+ years of commercial software development experience with strong Python expertise.
• Experience building backend services, APIs, and integrations using modern technologies.
• Strong understanding of software engineering principles: clean code, architecture patterns, testing, scalability, and maintainable solutions.
• Practical experience developing AI products based on Large Language Models (LLMs).
• Hands-on experience with RAG systems, embeddings, vector databases, retrieval optimization, and AI application development.
• Experience working with AI model integrations, including external APIs and/or locally deployed models.
• Understanding of AI agents, workflow automation, and approaches to building reliable AI systems.
• Experience with Docker, CI/CD, and production deployment processes.
• Ability to analyze AI system performance and improve quality, efficiency, and reliability.
• Upper-Intermediate English level (B2+) 

Will be a plus:

• Experience with fine-tuning or adapting AI models.
• Experience with MLOps / LLMOps practices.
• Knowledge of NLP approaches.
• Experience with cloud platforms and scalable infrastructure.

What we offer

• Competitive compensation up to $4,000, depending on your experience and expertise.
• Office-based work in Lviv with the possibility of a hybrid schedule.
• High level of technical ownership and the opportunity to solve challenging engineering problems.
• Professional development opportunities: company-sponsored courses, training, and access to necessary tools and resources.
• A team of experienced specialists who value expertise, initiative, and high-quality engineering.
• The opportunity to become one of the key engineers shaping the company’s AI direction.
• Relocation support for candidates from other cities, including assistance with moving and adaptation in Lviv.

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

We're looking for an experienced Business Analyst to work with stakeholders, product, and delivery teams — turning business needs into clear requirements and effective software solutions in a regulated healthcare environment.

  This is a fully remote role.

  Responsibilities

  - Gather and clarify requirements using interviews, workshops, document analysis, and other elicitation techniques.

  - Analyze business processes and data, and translate needs into functional and non-functional requirements.

  - Create and maintain epics, use cases, user stories, and acceptance criteria.

  - Identify gaps, dependencies, risks, and inconsistencies in requirements.

  - Collaborate with stakeholders, SMEs, designers, developers, and QA.

  - Create process flows and system diagrams using UML, BPMN, or similar.

  - Manage requirements scope and support solution validation and user acceptance testing.

  - Help ensure requirements account for healthcare compliance and data privacy (e.g., HIPAA/PHI).

  Requirements

  - At least 2 years of professional Business Analyst experience on software projects.

  - Experience in the healthcare domain (health tech, payers/claims, clinical/EHR, life sciences, or similar).

  - Strong knowledge of requirements elicitation, analysis, documentation, and management.

  - Understanding of AI-powered products or Agentic AI solutions.

  - Practical experience with Agile (Scrum or Kanban).

  - Experience creating diagrams using UML, BPMN, or similar notation.

  - Strong facilitation, analytical, and communication skills.

  - Comfortable working in a fully remote, distributed team, with excellent written and verbal English.

  Nice to Have

  - Familiarity with healthcare compliance (e.g., HIPAA) or claims/payer workflows.

  - SQL experience.

  - Business Analysis, Scrum Master, or Product Owner certification.

  - Experience with Jira and Confluence.

About the Role

We are looking for a Regional Database Administrator (DBA) to join our regional IT organization and take ownership of database operations across multiple sites in the region.

The role has a strong hands‑on focus on monitoring, maintaining, optimizing, and automating enterprise‑critical and local database platforms, with special emphasis on Jabil Manufacturing Execution Systems (MES).

You will work closely with Site IT, regional IT, application development teams and global stakeholders to ensure high availability, performance, and scalability of business‑critical databases.

What We Offer

• Transparent and competitive compensation structure, including performance-based bonus opportunities
• Competitive compensation and benefits
• Regional role with high business impact
• Opportunity to work with modern cloud and on-premises technologies
• Direct influence and ownership of databases supporting critical business applications
• Collaborative, international IT environment
• Professional growth and learning opportunities
   

Key Responsibilities : 

Database Operations & Monitoring

• Monitor, maintain, and support Microsoft SQL Server, PostgreSQL, and AWS Redshift environments (on-premises and cloud-hosted)
• Ensure database availability, performance, and reliability in line with SLA and performance requirements
• Maintenance & Automation
• Design, implement, and maintain database maintenance jobs (backup, restore, patching, indexing, housekeeping)
• Maintain data lifecycle processes and introduce data archiving and purging procedures
• Proactively identify opportunities for automation and standardization
• Improve operational efficiency through scripting and tooling
• Ensure database security compliance and lead database updates and migrations

Performance Optimization

• Analyze and optimize database performance, including:

  - Query tuning

  - Index strategies

  - Resource utilizationIdentify and resolve bottlenecks in high-load environments

• Support capacity planning and growth forecasting
• MES Database Focus
• Act as the database subject-matter expert for MES systems
• Ensure MES databases have the required resources, performance, and stability

Work closely with application and MES teams to:

• Optimize complex queries
• Support application changes
• Prevent production issues
• Review database changes

Governance & Best Practices

• Enforce database best practices for security, backup, recovery, and compliance
• Support audits and ensure adherence to corporate IT standards
• Contribute to documentation, runbooks, and knowledge sharing
• Project and Support Involvement
• Collaborate with product teams on database design throughout the SDLC process
• Maintain database projects in Git repositories
• Build and maintain CI/CD pipelines for database projects

• Actively participate in Incident Management and Problem Management within IT SLA requirements

   

Required Qualifications : 

Technical Skills

• Strong experience as a Database Administrator in enterprise environments

• Proven hands-on expertise with:

  - Microsoft SQL Server

  - PostgreSQL

  - AWS Redshift

   

Solid understanding of:

• Building and optimizing SQL queries
• Database design
• High availability and disaster recovery concepts
• Performance tuning and troubleshooting
• Backup and recovery strategies
• Experience with cloud platforms (AWS, Azure)

• Scripting experience (e.g., PowerShell, Bash, SQL, Python) is a plus

   

Professional Experience

• At least 3 years of experience supporting mission-critical production systems
• Background in manufacturing, MES, or industrial IT environments is a strong advantage
• Ability to work across multiple sites and cultures in a regional role

Soft Skills

• Strong analytical and problem-solving mindset
• Proactive, improvement-oriented approach
• Good written and verbal communication skills in English
• Comfortable working independently and as part of a regional/global team

Nice to Have

Experience with:

• Always On, clustering, replication
• Infrastructure-as-Code (IaC) or DevOps practices
• Monitoring tools and alerting platforms
• Familiarity with ITIL and incident, problem, and change management processes

If this opportunity sounds interesting or you have any questions about the role or process, feel free to reach out — we’re happy to share more details.

Joining our team! 

Welcome to LITSLINK — a top software development company.

We are looking for a Middle AI/ML Engineer to join our growing AI practice.

You will work on client and internal projects focused on Generative AI, LLM-powered applications, AI Agents, RAG systems, Computer Vision, NLP, and intelligent automation solutions.

Please note: we are primarily looking for engineers with hands-on experience building GenAI solutions. Experience with LLMs, RAG systems, AI Agents, and AI-powered automations is highly preferred.

Tech Stack: Python, OpenAI, Anthropic, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, AI Agents, Vector Databases, AWS/GCP/Azure

Key Responsibilities:

• Design, develop, and optimize AI-powered applications and services.
• Build solutions based on LLMs, RAG pipelines, AI Agents, and Generative AI technologies.
• Integrate AI systems with APIs, databases, and business platforms.
• Evaluate, optimize, and improve AI solutions.
• Collaborate with software engineers, product teams, and stakeholders.
• Conduct technical research and evaluate emerging AI technologies.
• Contribute to architecture decisions, code reviews, and engineering best practices.

Requirements:

• 2+ years of commercial experience in AI/ML engineering, AI Engineering, Data Science, or related roles.
• Experience building GenAI solutions is highly preferred.
• Practical experience with Generative AI and LLM-based applications.
• Hands-on experience building RAG systems, AI Agents, AI Assistants, or AI-powered automations.
• Strong Python programming skills.
• Solid understanding of Machine Learning fundamentals.
• Experience with PyTorch, TensorFlow, or the Hugging Face ecosystem.
• Experience working with OpenAI, Anthropic, Gemini, Hugging Face, or similar AI platforms.
• Experience with prompt engineering, LLM evaluation, and optimization techniques.
• Understanding of REST APIs and software development best practices.
• Strong analytical and problem-solving skills.
• Intermediate+ English level.

Nice to Have:

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.).
• Experience with AWS, GCP, or Azure.
• Experience deploying AI solutions to production environments.
• Knowledge of MLOps practices and model lifecycle management.
• Experience with Computer Vision or NLP projects.
• Experience mentoring junior engineers.

What We Offer:

• Opportunity to work on cutting-edge AI projects.
• Access to modern AI tools and technologies.
• Collaborative and innovative engineering culture.
• Professional development and career growth opportunities.
• Remote-first environment.
• Competitive compensation package.

Recruitment Process:

• HR Interview
• Technical Interview
• Offer

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. 

They are early in shaping how AI changes the way they build and operate software. They have active initiatives in AI tooling cost-management and agentic development workflows, but their direction is still forming and will keep evolving as the field does. 

They are not looking for someone to execute a fixed plan, they are looking for an experienced practitioner who can validate the direction we are setting, bring expertise we do not have in-house, stay ahead of what is emerging, and help us adjust and grow as the landscape shifts. This person is hands-on enough to build and prove things directly, and senior enough that we trust their judgment on where to place bets.

What you will do

• Act as a hands-on technical partner across AI engineering initiatives, currently spanning tooling cost management, model routing and selection, and agentic development workflows.
• Pressure-test the approaches they are considering, tell them where they are wrong or where a better path exists, and back it with evidence rather than opinion.
• Bring outside expertise and patterns from how other organizations are solving these problems, so they are not learning everything the expensive way.
• Track what is emerging across models, tooling, frameworks, and techniques, and translate it into concrete recommendations on what they should adopt, defer, or ignore.
• Build and run proofs of concept to validate ideas quickly, then help them decide what to operationalize.
• Help mature their agentic development workflow so engineering teams can adopt it, including model routing and token efficiency.
• Partner with Infrastructure and Security so that what they build fits their architecture and meets their data privacy obligations.
• Help them build internal capability, so the expertise compounds with their team and does not leave when the engagement ends.

Required background

• 7+ years in software, platform, or ML engineering, with recent, direct experience building and operating LLM-backed systems in production.
• Demonstrated breadth across the current AI engineering stack: models and their tradeoffs, inference cost dynamics, gateways and routing, agentic workflows, and the AI coding tool landscape.
• A track record of forming a point of view on fast-moving technical decisions and being right often enough to be trusted with them.
• Strong hands-on engineering ability. This person builds, benchmarks, and ships, not just advises.
• Comfort operating with ambiguity and early-stage direction; able to bring structure rather than wait for it.

• Cloud and infrastructure fluency (AWS preferred, including Bedrock).

   

Strongly preferred

• Experience helping an organization adopt AI-first engineering practices, not just individual tool use.
• Hands-on model evaluation and routing design, and exposure to AI cost governance.
• Experience in regulated data environments. 
• A habit of staying current through real practice (building, writing, contributing) rather than headlines.

What this role is not

• Not a fixed-scope implementation seat. The work will change as their direction evolves, and they want someone who helps drive that change.
• Not a data science or model training role. The focus is applied AI engineering, integration, and enablement.
• Not a manager. Individual contributor, hands-on, with influence earned through expertise.