Jobs

We are seeking a Strong Junior/Middle Data Scientist to join our team and contribute to the success of our organization.

Requirements:

- BS/MS degree in Computer Science or related field;
- 2-3 years of experience in Data Science, Machine Learning, or a related role;
- Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, and PyTorch;
- Experience with NLP frameworks and libraries;
- Proficiency in data visualization tools such as Matplotlib, Seaborn, or Plotly;
- Knowledge of data mining, feature engineering, and whole ML model building lifecycle;
- Hands-on experience with building custom LLM
- Experience AI-driven applications with a strong emphasis on RAG (Retrieval-Augmented Generation)
- Experience with SQL and database management systems (e.g., PostgreSQL, MySQL);
- Strong communication skills and the ability to work in a collaborative team environment

Responsibilities:

- Design and implement RAG pipelines to significantly improve data ingestion, vectorization, and automated language generation processes
- Developing an advanced Large Language Model (LLM)-based intelligent agent
- Analyze large datasets to extract meaningful insights and identify trends and patterns;
- Design, develop, and implement algorithms and predictive models;
- Develop data-driven analysis using statistical and analytics methodologies to solve business problems;
- Building the ML-based solution;
- Work with NLP & Computer Vision algorithms

Languages:
- Upper-intermediate level of English (B2)

Would be a plus:

- Hands-on experience with cloud services (GCP/AWS/Azure)

We are looking for an AI Developer for a client's project. For this position, we considering only Ukrainians, from Ukraine or abroad.

Requirements:
- 2+ years of experience
- English is a must 
- back-end Python skills (Python, Django/FastAPI/Flask)
- AI & ML skills (prompt engineering, computer vision, voice recognition etc.)

We value responsible and serious developers open to new knowledge and technologies.
The first stage is a meeting with HR, the second is a client meeting.

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

About Trialize

At Trialize, we're revolutionizing the clinical trial landscape with our AI-driven solutions. Our platform leverages cutting-edge machine learning and artificial intelligence to automate and optimize clinical trials, reducing setup times and enhancing data integrity. We cater to pharmaceutical companies, biotech firms, and CROs, providing innovative tools for efficient trial management and data analytics. Join us in our mission to transform healthcare through technology.

Role Overview

We are seeking a highly skilled Senior AI/ML Engineer to join our forward-thinking team. As an AI/ML Engineer at Trialize, you will design, develop, and deploy machine learning models and AI systems to enhance our clinical trial platform. You will work on a variety of projects, from building predictive models and natural language processing (NLP) systems to integrating AI with our data lake architecture. Your contributions will directly impact the efficiency and accuracy of clinical trials, helping us deliver innovative solutions to our clients.

Key Responsibilities

• Model Development: Design, train, and deploy machine learning models, including deep learning models, for various clinical trial applications.
• Data Engineering: Collaborate with data engineers to process and analyze large datasets from our enterprise data lake, ensuring data quality and relevance for model training.
• NLP and Text Analytics: Develop NLP systems for extracting information from unstructured text, such as medical records, clinical trial protocols, and scientific literature.
• AI Integration: Work closely with software engineers to integrate AI models into production systems, ensuring scalability, reliability, and compliance with industry standards.
• Algorithm Optimization: Optimize algorithms for performance, accuracy, and efficiency. Explore techniques like hyperparameter tuning, model compression, and transfer learning.
• Innovation and Research: Stay updated with the latest research in AI and machine learning, and apply new techniques to improve our platform.
• Mentorship and Collaboration: Lead and mentor junior data scientists and engineers. Collaborate with cross-functional teams to drive AI projects from conception to deployment.

Key Qualifications

• Extensive Experience: Strong background in machine learning, deep learning, and AI, with a proven track record of deploying models in production.
• Technical Proficiency: Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow, PyTorch, and scikit-learn.
• NLP Expertise: Experience with NLP techniques, including text classification, named entity recognition, and sentiment analysis. Familiarity with transformers and pre-trained models like BERT or GPT.
• Data Skills: Strong experience in data preprocessing, feature engineering, and working with large datasets. Proficiency in SQL and data manipulation tools.
• Cloud and Big Data: Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark).
• Analytical Mindset: Strong problem-solving skills, with the ability to analyze complex data and extract actionable insights.

Preferred Qualifications

• Experience with healthcare or clinical trial data.
• Knowledge of regulatory standards such as GDPR, HIPAA, and 21 CFR Part 11.
• Familiarity with reinforcement learning and unsupervised learning techniques.

Why Join Us?

• Innovative Projects: Work on groundbreaking projects that have a real impact on healthcare and clinical trials.
• Professional Development: Opportunities for continuous learning and career growth in a fast-paced, cutting-edge environment.
• Remote Flexibility: Enjoy the flexibility of working remotely with a diverse and talented team.
• Competitive Compensation: We offer a competitive salary, comprehensive benefits, and potential for equity participation.

How to Apply

If you're passionate about leveraging AI and machine learning to transform clinical trials and make a meaningful impact in healthcare, we encourage you to apply. Please submit your resume and a cover letter detailing your experience and why you're excited about joining Trialize.

About Puls Technologies GmbH:

Puls Project is at the verge of an exhilarating journey. Our mission is to create the entire financial world in one platform for German small to midsize enterprises and entrepreneurs, across all sectors and industries.
 

We are building a platform that will enable the customer to have money, where the customer needs it - just at the right time when they actually need it. The aim is to free up their time to make sure it can be spent on growing their business, not just managing to survive. Puls connects all your bank accounts in one place, business as well as private. The Customer will be able to have an overview of their financial history, as well as actually get forecasting for their cash flow with that data. The Customer will be able to make all payments in one place, instant and easy. And what if money gets tight? The future with Puls will give the opportunity to get business loans for SME without the hassle of a complicated bank checkup.

Key Responsibilities:

• Analyse large financial datasets using Python and Pandas.
• Develop and maintain machine learning models to predict financial metrics.
• Collaborate closely with our data scientists to enhance model accuracy and performance.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights in financial data.
• Ensure data quality, integrity, and consistency throughout the analysis process.
• Document and communicate findings and model performance to stakeholders.
• Stay up-to-date with the latest developments in data science and machine learning to continually improve our analytical capabilities.

Essential Skills and Experience:

• Proficient in Python with extensive experience in data analysis using Pandas or equivalent .
• Strong understanding of machine learning techniques and experience with libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience in building and optimising models for classification, regression, and clustering tasks.
• Solid understanding of statistical analysis and data visualisation techniques.
• Ability to work with large datasets and perform data cleaning, preprocessing, and transformation.
• Familiarity with version control systems like Git.
• Experience with SQL and database management is a plus.
• Experience with Prefect or similar orchestration tools for managing and automating data workflows.
• Strong problem-solving skills and ability to work independently.

Desirable Skills:

• Experience with time series analysis and financial data.
• Familiarity with cloud platforms such as AWS (Sagemaker), Google Cloud, or Microsoft Azure for deploying models.
• Understanding of natural language processing (NLP) techniques.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).
• Minimum of 3 years of professional experience in data analysis and machine learning.
• Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders.

Work Methodology:

• We use the Scrum framework to drive collaboration, adaptability, and continuous delivery.
• Regular participation in grooming sessions to refine and estimate the product backlog.
• Engage in iterative sprint cycles to ensure the timely delivery of high-quality features.

Working Hours:

• Our standard working hours are from 10:00 AM to 6:00 PM German time, Monday to Friday.

What We Offer:

• Competitive salary and benefits.
• Contribute to a fintech company that's making a real impact on how businesses manage their finances.

We are seeking a Software Developer with expertise in Artificial Intelligence (AI), Robotic Process Automation (RPA), and to use of AI in telephony

Requirements:

- Experience as a Software Developer, with a focus on AI and RPA.
- AI, API calls , RPA Google cloud, devops, python.
- Hands-on experience with RPA tools such.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.

Responsibilities

- Design and develop software and AI-based problem solving.
- Automation of processes using RPA tools.

- Use of AI in telephony (during conversations and so on)

- Staying up to date with the latest industry trends and advances in AI, - RPA and automation technologies.

What We Offer:

- Competitive salary
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
- Access to the latest tools and technologies.
- Standard working schedule from Monday to Friday.
- Remote work options.

We are inviting a passionate Data Scientist to join our project — a real-time crypto fraud prevention system. This innovative solution leverages AI-driven technology to detect and block scams, fraud, and cyber threats.

As a Data Scientist, you will develop advanced ML models to identify and analyze malicious activities across both traditional financial systems and blockchain platforms. Collaborating with developers, blockchain security experts, and analysts, you will tackle non-trivial challenges by building models that enhance security and protect users from various types of fraud and abuse.

Key Responsibilities:

• Design, develop, and evaluate machine learning models to detect and analyze malicious patterns in different types of data (textual, numerical, relational, etc.)
• Conduct thorough error analysis and optimize models for accuracy and efficiency

• Collaborate with cross-functional teams to improve data collection methods and enhance the datasets quality and diversity

   

Main requirements:

• 3+ years of hands-on experience in AI development
• Strong Analytical Skills in Data Science. Proficiency in exploratory data analysis (EDA), feature engineering, and feature selection. The candidate must be capable of handling complex, non-human-readable data with hidden patterns, creating custom solutions, and avoiding errors that could significantly impact results
• Knowledge of Classical Data Science Methods. Understanding classical models, including their advantages and disadvantages, and the ability to propose justified solutions for their application
• Familiarity with NLP Techniques and Deep Learning. Familiarity with fundamental Natural Language Processing (NLP) techniques, experience with deep learning libraries, understanding the model training process, and having practical experience in training custom models
• Proficiency in English (Upper-Intermediate or higher), both written and spoken

Will be a plus:

• A degree in Computer Science, Math, or other related fields
• Prior experience or exposure to cybersecurity or blockchain-based projects
• Experience with Graph Neural Networks

The benefits you will get:

• Challenging goals and rewarding steps to make your career successful
• Flexible schedule
• Paid vacation and sick leaves
• Corporate accountant services
• Legal support

About the Company:
DRESSX is a leading company in the field of digital fashion and Generative AI. We create innovative solutions that transform the fashion industry using cutting-edge technology. We are currently looking for an experienced specialist in Computer Vision and Generative AI to help us develop new products and improve existing solutions.

Responsibilities:

• Develop and implement advanced computer vision models for tasks related to digital fashion.
• Create and optimize image generation algorithms, including Diffusion Models and GANs.
• Develop automated processes for data collection and preprocessing for training datasets.
• Optimize and adapt models for efficient production deployment (quantization, pruning, acceleration).
• Collaborate with the R&D team to define long-term research strategies.
• Maintain technical documentation and participate in discussions with stakeholders.

Requirements:

• Understanding of mathematical fundamentals of machine learning 

• 2+ years of experience in Computer Vision

   

Soft Skills:

• Experience leading research in a rapidly evolving technological environment.
• Ability to formulate and implement a long-term research vision.
• Excellent communication skills and ability to work in a team.
• Willingness to interact with management and other stakeholders.

MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.

At MacPaw, we believe humans and technology can reach their greatest potential together.

MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company’s culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.

We are building a world-class AI research unit and are looking for an experienced AI Research Scientist to strengthen our team. Since this unit is still young, this role offers a unique opportunity to shape its direction, contribute to its growth, and help establish it as a leader in AI research.

At our company, you’ll be working with the latest trends in the industry, conducting cutting-edge research, and bridging the gap between academic advancements and real-world applications. You'll have the chance to develop AI solutions that power products used by millions of users, ensuring that your innovations have a tangible impact.

If you are passionate about pushing the boundaries of AI research, publishing at top-tier conferences, and applying research to large-scale products, we’d love to hear from you!

In this role, you will:

• Drive cutting-edge research in fields critical to our AI research unit’s objectives, leading to innovative solutions and contributions to scientific advancement in key directions (e.g. Local LLMs, Agents, Reinforcement Learning, 3D, etc.)
• Take ownership of research initiatives from ideation to implementation, and personally conduct key aspects of the research
• Bridge the gap between advanced research and real-world applications by integrating state-of-the-art research results into our products 
• Collaborate with cross-functional teams to ensure that scientific innovations enhance product functionality and deliver measurable value to the customers
• Deliver high-impact research that results in publications accepted at top-tier AI conferences (e.g., NeurIPS, ACL, CVPR). Represent the organization as a speaker, establishing the research team as a world-class unit through exceptional contributions and scientific discourse
• Organize and conduct knowledge-sharing sessions for research teams and stakeholders, covering analysis methods, research processes, and successful implementation cases
• Provide mentoring and opportunities for students and other fellow employees
   

Skills you’ll need to bring:

• Prior experience as an AI Research Scientist with a proven innovation track record
• Strong record of publications, preferably at top-tier AI conferences like NeurIPS, ICML, CVPR, ECCV, ICLR, etc.
• Proven expertise in Large Language Models (LLMs) and Multimodal LLMs (MLLMs), hands-on experience with training, fine-tuning, and optimizing models for various applications
• Experience in leading research initiatives from ideation to deployment
• Proven ability to bridge academic research with industry needs by developing scalable AI solutions that create measurable value
• Experience in translating cutting-edge research into practical applications, integrating state-of-the-art models into real-world products and production environments
• Experience mentoring junior researchers, students, and colleagues in AI domains
• Advanced level of English
   

As a plus:

• Experience working in academic, corporate, or government AI research labs, contributing to cutting-edge advancements

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible: https://macpaw.foundation/.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

We are looking for an AI Developer to design, develop, and implement AI-based solutions. You will be responsible for building machine learning models, optimizing algorithms, and integrating AI technologies into the company’s products.

RESPONSIBILITIES:

• Develop, train, and optimize machine learning and deep learning models;
• Preprocess and analyze large datasets to improve model performance;
• Deploy and maintain AI models in production environments;
• Research and implement state-of-the-art AI techniques;
• Collaborate with software engineers and data scientists to integrate AI solutions into applications;
• Monitor model performance and continuously improve AI-driven systems;
• Ensure scalability, security, and efficiency of AI solutions.

REQUIREMENTS:

• Proficiency in Python (TensorFlow, PyTorch, scikit-learn);
• Strong understanding of machine learning algorithms and neural networks;
• Experience with data preprocessing, feature engineering, and model evaluation;
• Hands-on experience with cloud platforms (AWS, Google Cloud, Azure);
• Familiarity with databases (SQL, NoSQL) and big data technologies;
• Experience with model deployment and MLOps (Docker, Kubernetes, CI/CD);
• Knowledge of natural language processing (NLP) or computer vision is a plus;
  Strong problem-solving skills and ability to work in a team;
• Must be located in the USA.

Role Responsibilities:

• Develop AI agents
• Fine-tune SLMs and LLMs
• Prepare development and deployment documentation
• Participate in R&D activities of Data Science team

Required Skills & Experience:

• 5+ years of experience with DL frameworks (PyTorch and/or TensorFlow)
• Hand-on experience with SLM and LLM fine-tuning
• Hand-on experience with RAG and AI Agents development
• Experience with Amazon SageMaker, Amazon Bedrock, LangChain, LangSmith LlamaIndex, HaggingFace, OpenAI 
• Knowledge of vector databases and semantic search
• Strong Python programming skills
• Proficiency in Git (Bitbucket) and Docker

• Upper-Intermediate (B2+) or higher level of English

   

Would a Plus:

• AWS certifications (AWS Certified ML or equivalent)
• Experience with TypeSense
• Experience with speech recognition, speech-to-text ML models

Team Summary

We are a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. You can choose to focus on either Edge or Cloud solutions. Those interested in Edge will work on advanced computer vision algorithms and sensor-based detection methods to enable efficient real-time performance directly on devices. Those focusing on Cloud will develop scalable, high-performance motion detection solutions using cloud-based technologies, optimizing collaboration between Edge and Cloud for the best results.

You will be responsible for day-to-day research tasks, such as setting up hypotheses, gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.

Responsibilities and Duties

— Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development

— Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation

— Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy

— Provide consultations and collaborate with colleagues from other departments

— Report progress and project achievements to management

— Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes

— Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team

Qualifications and Skills

— 3+ years in machine learning (computer vision domain)

— Practical experience in at least one of the following problems: classification, detection, segmentation

— Python3, NumPy, scikit-learn, pandas, SciPy

— Deep learning frameworks: PyTorch

— Experience in deploying machine learning models to production

— Good understanding of machine learning and deep learning concepts

— Good written and spoken English

Nice to have

— Practical experience with GANs, VAEs

— Probabilistic programming and bayesian framework

— Model optimization: pruning, quantization, knowledge distillation

— Basic understanding of web and client-server architecture

— asyncio, aiohttp, and other async libraries for back-end

— Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing

— Algorithms, data structures

— SQL, NoSQL

— Docker, Kubernetes, Kubeflow

— C++, Bash

We offer multiple benefits that include

— The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member

— Competitive compensation and perks. Annual performance review

— Gig-contract

— 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation

— Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves

— Medical insurance is provided from day one. Sick leaves and medical leaves are available

— Remote working mode is available within Ukraine only

— Free meals, fruits, and snacks when working in the office.

About the Role:

We are looking for a highly skilled AI Prompt Engineer & Automation/Workflow Specialist with deep expertise in designing and optimizing AI prompts (ChatGPT, LLMs) and creating seamless workflow automations using n8n.io. Your role will involve fine-tuning AI interactions, developing automated business processes, and integrating various SaaS and self-hosted applications to optimize efficiency and decision-making.

Key Responsibilities:

• AI Prompt Engineering & Optimization

• Design and refine prompts for ChatGPT, LLMs, and other AI-driven systems to maximize output quality.

• Implement prompt chaining, context retention, and structured outputs for better AI responses.

• Develop custom AI workflows that integrate with internal tools and databases.

• Automation & Workflow Development (n8n.io)

• Build scalable, event-driven automations in n8n.io to streamline business operations.

• Integrate APIs, webhooks, and databases to enable real-time data flow across applications.

• Optimize workflows for efficiency, logging, error handling, and monitoring.

• Develop decision-making automation using AI and rule-based logic.

• Integration of AI & Automation into Business Processes

• Connect AI tools with CRM, marketing, analytics, finance, and operations platforms.

• Develop automated reporting, lead scoring, customer support responses, and data enrichment workflows.

• Implement AI-powered chatbot assistants that interact with n8n.io workflows.

• Data Handling & Optimization

• Work with structured/unstructured data, ensuring optimal AI input/output quality.

• Use vector databases, embeddings, and retrieval-augmented generation (RAG) for enhanced AI performance.

• Ensure data privacy, compliance, and security best practices are followed.

• Documentation & Continuous Improvement

• Document workflows, prompt strategies, and automation processes for future reference.

• Continuously test and refine AI and automation systems for improved accuracy and reliability.

• Stay updated on AI trends, automation tools, and best practices.

Required Skills & Experience:

• Strong expertise in AI prompt engineering (ChatGPT, GPT-4, Claude, Llama, etc.).

• Deep experience with n8n.io (or similar automation tools like Zapier, Make, Airbyte, Pipedream).

• Proficiency in API integrations, webhooks, and RESTful services.

• Experience in Python, JavaScript, or TypeScript for custom automation scripts.

• Knowledge of databases (PostgreSQL, MongoDB, MySQL) and data transformation techniques.

• Understanding of AI token limits, embeddings, and fine-tuning techniques.

Bonus Skills:

• Experience working with LangChain, LlamaIndex, or vector databases (Weaviate, Pinecone, ChromaDB).

• Familiarity with LLM orchestration tools like AutoGPT or BabyAGI.

• Knowledge of workflow monitoring and logging tools.

• Experience with self-hosted AI models and deployment strategies.

Why Join Us?

• Work with cutting-edge AI and automation technologies.

• High-impact role shaping AI-driven workflows for real-world applications.

• Flexible, remote work with ownership over AI and automation processes.

We’re looking for a passionate Machine Learning Engineer to join our team and dive into the exciting world of Generative AI. You’ll work on cutting-edge demos and proof of concepts (POCs), turning bold ideas into reality. The ideal candidate brings solid Back-end engineering skills and a curiosity for Generative AI development. If you’re familiar with MLOps, large language models (LLMs), or concepts like Retrieval-Augmented Generation (RAG). Experience in the Financial Services domain, particularly Banking, will be a significant advantage.

You will be exposed to a variety of tasks, including:

• Develop Proof of Concepts (PoC). Test and validate new ideas
• Drive implementation, optimizing and transforming data solutions to improve business outcomes
• Help with offerings as a technical consultant

Requirements:

• 4+ years of experience in IT with at least 2-3 years of experience in machine learning
• Solid Back-end engineering skills, particularly with Python (e.g., Django, Flask, or FastAPI)
• Experience in pre-sales and opportunity processing
• Basic experience with databases or tools like vector databases (e.g., Pinecone, Weaviate, Faiss)
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face
• Understanding of CI/CD pipelines
• Knowledge of RAG or AI application basics (security, governance, etc.)
• Experience with cloud platforms (AWS, Google Cloud, Azure) or on-premises setups
• Strong problem-solving skills and ability to handle shifting priorities with Support team
• Experience with client-facing roles
• Excellent presentation and demonstration skills
• Bachelor’s or Master’s degree in computer science, machine learning, artificial intelligence, or a related field
• Upper-Intermediate level of English

Would be a plus:

• Contributions to open-source projects or experience with tools like Airflow or Spark
• Familiarity with containers (e.g., Docker) or orchestration tools (e.g., Kubernetes)
• Experience in the Banking and Financial Services domain
• Exposure to prompt engineering or fine-tuning LLMs
• Knowledge of other languages like Java or Go

Responsibilities:

• Assist in building and testing Generative AI demos and POCs
• Support the design of simple, scalable architectures for Generative AI applications
• Work with team members to integrate AI components into larger systems
• Use MLOps practices to help automate parts of the model development process
• Follow guidance to ensure Generative AI applications are secure and meet basic governance standards
• Help deploy AI applications on cloud platforms or on-premises setups with team support
• Adapt to a fast-paced environment with evolving project requirements
• Keep up with AI trends and apply them to projects with guidance
• Advise clients. Understand their needs, analyze possible solutions, and present the best options

We are hiring an AI/ML Engineer for a project focused on developing an advanced Large Language Model (LLM)-based intelligent agent. The project integrates cutting-edge AI/ML frameworks to enhance interpretability and decision-making in artificial intelligence.

Our research-driven approach leverages mathematical methods, such as abstract algebra, to push the boundaries of AI cognitive capabilities. The ultimate goal is to create a system capable of logical reasoning and complex problem-solving.
 

Requirements
 

• Strong Python programming skills with experience in AI/ML frameworks (PyTorch, TensorFlow, etc.).
• Hands-on experience with agent-based AI frameworks (LangChain, LangGraph, CrewAI).
• Understanding of LLMs (GPT models) and their practical applications.
• Mathematical background (familiarity with abstract algebra or advanced math concepts is a plus).
• Cloud deployment experience (AWS, Azure, GCP) and knowledge of Docker/Kubernetes.
• Excellent collaboration and communication skills, with experience working in research-driven AI projects.
• Agile development experience (Kanban, Scrum).
• Strong communication skills – ability to speak English fluently and adjust the level of detail based on the audience, from deep technical discussions to high-level overviews.
   

Responsibilities
 

• Develop an LLM-based intelligent agent using Python and modern AI frameworks (LangChain, LangGraph, CrewAI).
• Implement mathematical techniques (e.g., abstract algebra) to enhance AI reasoning and decision-making.
• Design and build tools that improve AI/ML interpretability and cognitive simulation.
• Collaborate with researchers to integrate mathematical frameworks into AI models.
• Manage and maintain a structured codebase in Git (GitHub), ensuring high-quality coding standards.
• Deploy the system on cloud infrastructure (AWS, Azure, or GCP) with automation and scalability in mind.
• Document system architecture and workflows, ensuring clarity for future development.
• Participate in an agile workflow using Kanban methodology, with weekly progress reviews and stakeholder engagement.
   

Nice to have:
 

• Master’s or Ph.D. in Computer Science, Mathematics, Data Science, or a related field.
• Proven experience in research-oriented AI/ML projects or developing intelligent agents