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machine learning engineer

<div><div><div><div><ul><li><b>REQ-10108572</b></li>
<li><b>18/02/2026</b></li>
<li><b>IT Engineering</b></li>
<li><b>Istanbul, Turkije</b></li>
<li><div><b>ING Hubs</b></div></li></ul><p></p><div><br>
</div></div></div></div><p></p><div><div><div><div><div><p><b>About ING Hubs</b></p><p>
Following ING&rsquo;s strategic ambition to deliver a superior eperience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated epertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.</p><p></p><p>
                                ,               ,                 ,   ℎ     ℎ                                        ,                                         ℎ     11,000                                                      ℎ                                             ,                              ,                                 -                           .</p><p></p><p>
ING Hubs Turkiye core capabilities,                                                , have us looking for data eperts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.</p><p></p><p>
                                     ̈          </p><p>
ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an eisting framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.</p><p></p><p>
We value strong work ethics, knowledge sharing and fleibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!</p><p></p><p><b>
The Team</b></p><p>
Within ING, there is ING Analytics (INGA) - a major driving force in its digital transformation of the bank.</p><p>
By creating measurable value for ING and its customers through world-class analytics products and services, INGA helps ING to become a leader in data-driven decision-making. Among others, INGA delivers call &amp; speech analytics, generative AI in risk summarization, insights into portfolio performance, advanced ESG data insights (commercial purposes), data analytics platforms (cloud and on-premises), and many more.</p><p></p><p><b>
Roles and Responsibilities</b></p><p>
We are looking for a MLE to join us in Istanbul. In this role, together with the data scientists, you will be responsible for streamlining the process of taking machine learning models to production, maintaining, and monitoring them. You will participate in designing and building the models, data pre-processing, performance tuning of ML models, and more.</p><p>
We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills. We hire people based on an evaluation of their potential and support them throughout their time in Katowice. Come join us!</p><p></p><p><b>
A working day in the life of a Machine Learning Engineer</b></p><p>
A typical day for a machine learning engineer starts with coffee, catching up with colleagues, and drafting a plan for the coming day. After the standup, you may start analyzing algorithms to identify which of them works well with the problem you are trying to solve. For the rest of the morning, you could eperiment in Jupyter notebook using Scikit Learn or use IDE to continue developing a class that implements a model or interfaces with the database.</p><p>
After lunch, meet with the team to discuss the net iteration of the product, or go over new features that need to be implemented and discuss how to create or calculate those features. Wrap up the day working on the monitoring tool for machine learning models.</p><p></p><p><b>
How to succeed</b></p><p></p><p><b>
Minimum Qualifications</b></p>
Bachelor's degree or equivalent practical e<ul><li>perience.</li>
E<li>cellent communication skills, capable of working collaboratively in a semi-remote, globally distributed team.</li>
Hands-on eperience building comple<li> data pipelines (e.g., in Apache Spark).</li>
Hands-on e<li>perience with technologies and frameworks used in ML (e.g., sklearn, MLFlow, etc.)</li><li>
Knowledge of software engineering best practices (versioning, testing, documentation, etc.)</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Curious mindset; you are collaborative and passionate about helping others to grow and improve.</li><li>
Knowledge of MLOps architecture and practices.</li>
E<li>perience with monitoring and observability.</li>
E<li>perience with deployment and provisioning automation tools and concepts, e.g., Docker, Openshift, CI/CD.</li><li>
Good understanding of different data storages (e.g., RDBMS, non-SQL, and time-series databases).</li></ul><p></p><p><b>
What We Offer at ING Hubs Turkiye</b></p><p></p><p>
At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your eperience is rewarding. Here&rsquo;s what you can epect when you join our organization:</p><p></p><p><b>
Be Yourself, Be an ING'er</b></p><ul><li><b>
Welcome Leave:</b>Enjoy 14 days of welcome leave, even in your first year! Don&rsquo;t postpone your dreams.</li><li><b>
Career Opportunities:</b>We provide self-driven career paths where you can navigate your professional journey.</li><li><b>
Personal Growth:</b>Engage in challenging work with endless opportunities to achieve your ambitions.</li><li><b>
Dynamic Environment:</b>Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.</li><li><b>
Innovation Culture:</b>Share your innovative ideas while eploring PACE methodology with us.</li><li><b>
Global Eposure:</b>Participate in global projects and epand your career opportunities.</li><li><b>
Communication &amp; Celebrations:</b>Enjoy various communication activities and celebrations that promote a friendly work environment.</li><li><b>
Health Care:</b>Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.</li><li><b>
Private Pension Plan:</b>Secure your future dreams with our private pension plan.</li></ul><p></p><div>
At ING Hubs Turkiye, your growth and happiness are our priorities. Join us and unlock your true potential in a fulfilling workplace!</div></div></div><p></p><div><ul><div><br>
</div><div></div><div>
</div></ul></div></div><div><div><div><div><div>Your place of work</div>
<div><div><b>Eplore the area</b></div><b>
</b></div></div></div><div><p>Vragen? Stel ze aan<br>
ING Recruitment Team
</p><div></div><div><div><div><b>Vraag via</b></div></div></div><p></p><div><br>
</div></div></div></div></div></div><div><div><div><div>Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.</div></div></div></div></div>

Machine Learning Engineer

YO IT CONSULTING

<div><div><div><p><b>Engagement Type:</b> Independent Contractor<br>
<b>Work Mode:</b> Fully Remote<br>
<b>Contract Type:</b> Project-Based (Short-Term, Extendable)</p>
<p><b>Role Overview:</b></p>
<p>collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience.</p>
<p><b>Key responsibilities</b></p>
<ul><li><p>Design and write detailed evaluation suites for machine learning engineering tasks</p>
</li><li><p>Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation</p>
</li></ul><p><b>Ideal qualifications</b></p>
<ul><li><p>3+ years of experience in machine learning engineering or applied ML research</p>
</li><li><p>Hands-on experience with model development, experimentation, and evaluation</p>
</li><li><p>Background in ML research (industry lab or academic setting strongly preferred)</p>
</li><li><p>Strong ability to reason about ML system design choices and tradeoffs</p>
</li><li><p>Clear written communication and high attention to technical detail</p>
</li></ul><p>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Contract and Payment Terms</b></h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div>

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>The global jewelry manufacturer and retailer is seeking a highly experienced Machine Learning Architect to define and lead the architectural vision for the applied ML ecosystem. This role focuses on driving forecasting, predictive modeling, and production-grade MLOps capabilities across the organization. You will shape the next-generation ML platforms, ensuring that forecasting, optimization, and decision-intelligence use cases are robust, scalable, and seamlessly integrated into the global retail environment.</p><p>
As a senior ML leader, you will collaborate across engineering, data, supply chain, merchandising, and digital functions to establish best‑in‑class ML patterns, champion model lifecycle excellence, and advance Pandora&rsquo;s enterprise ML maturity.</p>
</div><div><p><b>Strategic ML Vision &amp; Roadmapping</b></p><ul><li><p>
Guide ML direction across forecasting, optimisation, recommendations, and predictive analytics.</p></li><li><p>
Translate industry trends in time-series modelling, probabilistic forecasting, causal ML, feature stores, and MLOps automation into actionable architectural strategies.</p></li><li><p>
Align ML ecosystem development with business priorities across merchandising, supply chain, operations, and omnichannel retail.</p></li></ul><p><b>
Solution Architecture for Applied ML</b></p><ul><li><p>
Lead the design and architecture of ML systems, including forecasting pipelines, demand/sales/promotions prediction models, anomaly detection systems, and real-time scoring services.</p></li><li><p>
Partner with engineering and AI &amp; Data platforms teams to ensure models integrate into operational systems with robust SLAs and monitoring.</p></li><li><p>
Define reference architectures for traditional ML, deep learning, and time-series forecasting.</p></li></ul><p><b>
MLOps &amp; ML Platform Leadership</b></p><ul><li><p>
Architect end-to-end MLOps pipelines covering training, evaluation, deployment, and monitoring for high-scale model fleets.</p></li><li><p>
Ensure reproducibility, CI/CD for ML, automated retraining, feature store integration, and governance of model lineage.</p></li><li><p>
Drive platform choices and integrations (e.g., Databricks, Fabric, MLflow, Kubernetes-based serving).</p></li></ul><p><b>
Integration of ML SaaS &amp; Build-vs-Buy Evaluation</b></p><ul><li><p>
Evaluate third-party forecasting and ML SaaS solutions and guide integration into internal systems.</p></li><li><p>
Lead architectural assessments and drive decisions on build vs buy for ML capabilities.</p></li></ul><p><b>
Governance, Quality, and Operational Excellence</b></p><ul><li><p>
Define and enforce architectural and MLOps standards that ensure models meet NFRs such as accuracy, performance, fairness, reliability, and explainability.</p></li><li><p>
Champion ML governance, including model risk management, bias detection, privacy compliance, and ethical AI.</p></li></ul><p><b>
Collaboration Across Engineering, Data &amp; Business</b></p><ul><li><p>
Work closely with the Data &amp; AI Platform, retail analytics, supply chain and merchandising teams to ensure ML solutions are scalable and production-ready.</p></li><li><p>
Align model design with data pipelines, real-time event streaming, microservices, and operational workflows.</p></li></ul><p><b>
Hands-On Technical Leadership</b></p><ul><li><p>
Provide hands-on support (~20% time) for prototype forecasting models, PoCs, architecture spikes, and code reviews.</p></li><li><p>
Mentor engineers and data scientists on best practices in ML architecture and MLOps.</p></li></ul>
</div><div><p><b>Experience</b></p><ul><li><p>
Extensive experience designing and deploying ML architectures, including forecasting, predictive modelling, and MLOps.</p></li><li><p>
Strong background in traditional ML, time-series modelling, and ML productionisation at enterprise scale.</p></li><li><p>
Prior experience as an ML Architect, Solutions Architect, Machine Learning Engineer, or similar senior role.</p></li></ul><p><b>
Technical Skills</b></p><ul><li><p>
Expertise with forecasting frameworks (e.g., Prophet, ARIMA, DeepAR, TFT, custom deep learning forecasting architectures).</p></li><li><p>
Strong understanding of ML lifecycle management, feature stores, ML observability, and performance optimisation.</p></li><li><p>
Hands-on experience with:</p><ul><li><p>
Cloud ML platforms (Azure preferred)</p></li><li><p>
Databricks, Fabric, Spark</p></li><li><p>
MLOps frameworks (MLflow, CI/CD pipelines, containerisation, serving patterns)</p></li><li><p>
Infrastructure as Code (Terraform, ARM/Bicep)</p></li><li><p>
Event-driven and microservices architectures for real-time inference</p></li></ul></li></ul><p><b>
Soft Skills</b></p><ul><li><p>
Excellent communicator able to bridge ML complexity with business and engineering clarity.</p></li><li><p>
Strong leadership presence, enabling cross-functional alignment and influencing strategic decisions.</p></li></ul><p><b>
Additional Skills</b></p><ul><li><p>
Azure / AWS / GCP ML or AI certifications.</p></li><li><p>
Experience with ML governance, risk management, explainability, and cost-optimised ML architectures.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Machine Learning
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

ML Architect – AI & Automation

EPAM Systems

<div><p>EPAM is seeking a highly skilled <b>Senior Python Engineer</b> with expertise in Cheminformatics and Computational Chemistry to join our Life Sciences practice.</p><p>
In this role, you will contribute to the development of advanced software solutions supporting drug discovery and pharmaceutical research. You will work at the intersection of chemistry, data science, and machine learning, building scalable computational tools used by scientists and researchers worldwide.</p><p>
This position requires strong technical engineering skills combined with deep domain understanding in chemistry or related scientific disciplines.</p><p><b>
Responsibilities</b></p><ul><li>
Design and develop software solutions for drug discovery and chemical data analysis</li><li>
Build and maintain computational pipelines for processing molecular and experimental data</li><li>
Implement algorithms for virtual screening, QSAR/SAR modeling, and molecular descriptor calculation</li><li>
Work with chemical structure representations (SMILES, molecular graphs, fingerprints)</li><li>
Integrate and analyze data from chemical databases such as ChEMBL and PubChem</li><li>
Apply machine learning techniques to chemical and biological datasets</li><li>
Collaborate with scientists, researchers, and cross-functional engineering teams</li><li>
Ensure code quality, scalability, and reproducibility of computational workflows</li></ul><p><b>
Requirements</b></p><ul><li>
Strong Python development experience</li><li>
Proven experience in Cheminformatics, Computational Chemistry, or Drug Discovery</li><li>
Experience working with QSAR/SAR models, virtual screening, or molecular modeling</li><li>
Understanding of chemical structure representation and similarity search</li><li>
Experience working with chemical databases (e.g., ChEMBL, PubChem)</li><li>
Solid knowledge of data analysis and statistical modeling</li><li>
Experience applying Machine Learning techniques in scientific contexts</li><li>
Familiarity with tools such as RDKit or similar cheminformatics libraries</li><li>
Ability to work in an R&amp;D-oriented environment</li></ul><p><b>
Nice to have</b></p><ul><li>
Experience with molecular dynamics simulations</li><li>
Knowledge of quantum mechanics modeling</li><li>
Experience with cloud environments (AWS, Azure, or GCP)</li><li>
Experience deploying ML models into production</li><li>
Background in Pharmaceutical or Biotechnology industry</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Senior Python Engineer (Cheminformatics / Drug Discovery)

Sezzle

<div><p><b>The salary range for this role is 3,333 USD - 4,200 USD per month (Gross in USD)</b></p>
<p><b>
About Sezzle:</b></p>
<p>
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!</p>
<p><b>
About the Role:</b></p>
<p>
We are seeking a talented and motivated <b>AI Engineer II </b>who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.</p>
<p>
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.</p>
<p>
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact &mdash; whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.</p>
<p><b>
What You'll Do:</b></p>
<ul>
<li>Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.</li>
<li>Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.</li>
<li>Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.</li>
<li>Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.</li>
<li>Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.</li>
<li>Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.</li>
<li>Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.</li>
<li>Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.</li>
<li>Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.</li>
<li>Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.</li>
</ul><h3 class="jobSectionHeader"><b>What We Look for:</b></h3>
<ul><li>3&ndash;5 years of professional experience in software engineering, <b>AI engineering</b>, platform engineering, or related roles.</li>
<li><b>Hands-on experience designing, building, and shipping AI-powered systems</b> into production environments.</li>
<li>Strong proficiency in Python, SQL, and frontend frameworks such as React.</li>
<li>Proven experience designing and owning production-grade full-stack systems.</li>
<li>Experience working with distributed systems, internal platforms, or complex data workflows.</li>
<li>Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3>
<ul><li>Experience building AI-first platforms or internal products from scratch, including early architectural decisions.</li>
<li>Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.</li>
<li>Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.</li>
<li>Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.</li>
<li>Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).</li>
<li>Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.</li>
<li>Familiarity with cloud-native development using AWS.</li>
<li>Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.</li>
<li>Experience with containerized systems and orchestration tools such as Docker and Kubernetes.</li>
<li>Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).</li>
<li>Experience with Golang is a plus (or willingness to learn).</li>
</ul>
<p><b>About You:</b></p>
<ul>
<li><b>You have relentlessly high standards</b> - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.</li>
<li><b>You're not bound by convention</b> - your success&mdash;and much of the fun&mdash;lies in developing new ways to do things</li>
<li><b>You need action</b> - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.</li>
<li><b>You earn trust</b> - you listen attentively, speak candidly, and treat others respectfully.</li>
</ul>
<p><b>What Makes Working at Sezzle Awesome:</b></p>
<p>
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.</p>
<p>
#Li-Remote</p></div>

AI Engineer II (Remote)

<div><h2 class="jobSectionHeader"><b>Role Overview</b></h2>
<p>We are seeking a skilled <b>AI Prompt Engineer</b> to design, optimize, and evaluate prompts for large language models (LLMs) and generative AI systems. This role focuses on improving model performance, ensuring high-quality outputs, and aligning AI behavior with business objectives.</p>
<p>The ideal candidate understands how AI models interpret instructions and can craft structured prompts that generate accurate, relevant, and context-aware responses.</p>
 <h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li><p>Design, test, and optimize prompts for LLMs and generative AI systems</p>
</li><li><p>Develop structured prompt frameworks for various use cases (content generation, reasoning, summarization, code generation, etc.)</p>
</li><li><p>Evaluate AI outputs for accuracy, relevance, tone, and alignment</p>
</li><li><p>Refine prompts to reduce hallucinations and improve reliability</p>
</li><li><p>Collaborate with engineering and product teams to improve AI workflows</p>
</li><li><p>Create documentation and best practices for prompt engineering</p>
</li><li><p>Analyze model behavior and implement iterative improvements</p>
</li></ul><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<ul><li><p>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, Linguistics, or related field</p>
</li><li><p>Strong understanding of Large Language Models (LLMs) and generative AI systems</p>
</li><li><p>Experience working with AI tools such as GPT, Claude, Gemini, or similar</p>
</li><li><p>Strong analytical and problem-solving skills</p>
</li><li><p>Excellent written communication skills</p>
</li><li><p>Ability to experiment and iterate on prompt structures</p>
</li></ul><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<ul><li><p>Experience with Python or scripting languages</p>
</li><li><p>Familiarity with NLP concepts</p>
</li><li><p>Experience in AI evaluation or model alignment</p>
</li><li><p>Understanding of prompt chaining and system prompts</p>
</li><li><p>Knowledge of AI safety and bias mitigation</p></li></ul></div>

Ai Prompt Engineer - Remote

Skm Group

<p>We are seeking a <b>Lead AI Engineer</b> to design and deliver secure, production-ready AI capabilities within a large enterprise tax platform hosted on Azure.</p><p>The platform supports corporate tax calculation, collaboration, and client reporting, and is built on <b>.NET 8, Angular micro frontends, SQL Server, and Azure cloud services</b>. This role will architect and integrate advanced AI features into this mission-critical system.</p><p>Key Focus Areas</p><ul><li>Architect and implement <b>LLM integrations</b> (Azure OpenAI preferred)</li><li>Design robust <b>RAG pipelines</b> (embeddings, chunking, vector search, re-ranking)</li><li>Build secure, async backend services using <b>Python and FastAPI</b></li><li>Ensure enterprise-grade <b>security, PII protection, and compliance</b></li><li>Design scalable <b>Azure-native architectures</b> (App Services, Functions, Service Bus, Event Grid)</li><li>Implement AI observability and evaluation frameworks</li><li>Drive performance tuning and advanced SQL Server optimization</li><li>Establish DevOps best practices and CI/CD standards</li></ul><p>Profile</p><ul><li>Expert-level Python and FastAPI experience</li><li>Strong SQL Server and ORM expertise</li><li>Deep Azure architecture knowledge</li><li>Proven production LLM and RAG implementation experience</li><li>Strong prompt engineering and tool-calling design</li><li>Experience with event-driven systems and secure API design</li><li>Hands-on use of AI-assisted development tools (Copilot, Cursor)</li></ul><p><b>Why Join Us</b></p><ul><li>Work in a modern <b>software development company</b> with international clients</li><li>Be part of a collaborative, supportive team</li><li>Learn how tech recruitment works end-to-end</li><li>Flexible working model and long-term growth opportunities</li><li>Company apartments in cool cities across Europe: work and enjoy a memorable getaway</li></ul><p><b>About Us</b></p><p>We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.</p><p>Job Type: Full-time</p><p>Pay: Up to 300,000.00TRY per month</p><p>Experience:</p><ul><li>Python: 5 years (Required)</li><li>AI: 4 years (Required)</li></ul><p>Work Location: Remote</p>

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Lead AI Engineer [cd303]