Datrics

Job Description

Your primary focus will be on working with the client's data, applying data mining techniques, and building pipelines to implement forecasting models. You will work directly with clients to understand their business problems and determine the best value delivery methods. Additionally, you will participate in pre-sales activities by preparing and delivering demos to potential clients.

Key Responsibilities

• Engage with clients across various industries (primarily FMCG) to understand and solve their business problems.
• Employ advanced statistics and machine learning methodologies to reveal hidden patterns and insights within data, and identify and interpret relationships and trends in data, including factors that could influence research outcomes.
• Test hypotheses to identify mathematical foundations for creating or enhancing methods for obtaining and evaluating numerical data.
• Participate in pre-sales activities by preparing and delivering demos and presentations to prospective clients.
• Conduct data analysis, design, and implement data pipelines and models based on clients’ specific needs and challenges.
• Collaborate with the Data Engineering team to build and maintain logical and physical data models for Business Intelligence Data Warehouses.
• Conduct ad-hoc research, design, and implement algorithms for specific industry use cases.

Requirements

Education and Experience:

• B.A. or Master’s Degree in a quantitative field (e.g., Math, Statistics, Computer Science, Engineering, Data Science, Operations Research).
• At least 3 years of relevant work experience in data analytics, business intelligence, or data science.
• Specialized Knowledge and Skills
• Competence in Applied Statistics (Exploratory Data Analysis, Distributions Fitting, Inference on Populations, Regression Analysis).
• Proficiency in predictive analytics (Classification and Regression Models, Time-series analysis, and forecasting) and design of predictive research.
• Understanding of pricing strategies, elasticity models, and demand forecasting concepts.
• Familiarity with data mining concepts (Clustering, Frequent Pattern Mining, Outliers Detection) and machine learning concepts (Supervised/Unsupervised learning, Model assessment, and comparison).
• Experience with machine learning algorithms (Tree-based models, Linear Models, Instance-based models, etc.).
• Experience with GenAI is a plus.
• Programming skills in Python and basic knowledge of SQL and NoSQL databases.
• Familiarity with development tools (SVN, Git) and understanding of software development company functioning and software development life cycles.
• Ability to effectively communicate in written documents and oral briefings regarding study initiation, justification of methods selected, results, conclusions, and recommendations.
• English upper-intermediate level or higher.

Additional Skills and Abilities

• Team playing and result orientation skills.
• Client orientation and strong communication skills.

Job Description

We seek an AI Engineer Specialist with expertise in Natural Language Processing (NLP),  Large Language Models (LLMs), and Prompt Engineering. The candidate will join our team to analyze proprietary and open-source data, develop LLMs, and create AI solutions for various applications. Proficiency in Python and English is essential for this role.

Key Responsibilities:

• NLP & LLM Development: Design, develop, and optimize NLP models and algorithms to enhance our AI capabilities.
• Prompt Engineering: Create and refine prompts to improve model outputs and performance.
• Data Analysis: Perform comprehensive data analysis to extract insights and inform model development.
• Embedding & Vector Databases: Implement embedding techniques and integrate them with vector databases for efficient data retrieval.
• Chatbot Development: Lead the development of advanced chatbots, including Retrieval Augmented Generation (RAG) systems.
• Vector Database Management: Manage and optimize vector databases for storing and retrieving high-dimensional data.

• Collaboration: Work closely with cross-functional teams to integrate AI solutions into existing platforms.

   

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience:
  • Proven experience in NLP and working with LLMs.
  • Hands-on experience in prompt engineering.
  • Experience in developing chatbots and RAG systems.
  • Proficiency with embedding techniques and vector databases.
• Technical Skills:
  • Strong programming skills in Python.
  • Familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
  • Knowledge of vector databases and data structures.
• Soft Skills:
  • Excellent problem-solving abilities.
  • Strong communication skills.
  • Ability to work collaboratively in a team environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI technologies.
• A collaborative and innovative work environment.
• Professional development and growth opportunities.

How to Apply:

Interested candidates are invited to send their resume and a cover letter detailing their relevant experience to [email address].

Backend Engineer – AI Agents

About Datrics: Datrics is an innovative company headquartered in Silicon Valley, dedicated to building intelligent tools that empower businesses through AI-driven solutions. Our flagship products include a No-Code AI Workflow Automation platform and a cutting-edge AI agent capable of building other agents, enabling unprecedented automation and intelligence. We proudly serve industry-leading customers such as KraftHeinz.

Job Description: We are seeking a talented Backend Engineer with a strong background in developing AI-powered agents and services. You will play a pivotal role in designing, developing, and optimizing backend systems that power sophisticated AI agents, leveraging modern AI frameworks such as LangChain and LLAMAIndex.

Key Responsibilities:

• Develop, deploy, and maintain scalable backend services and APIs.
• Collaborate closely with our AI and product teams to implement effective search and Retrieval-Augmented Generation (RAG) algorithms.
• Perform data engineering tasks to enhance the performance and accuracy of our AI workflows.

• Contribute to multiple exciting projects, including our No-Code AI Workflow Automation platform and our proprietary AI agent development engine.

   

Required Qualifications:

• Excellent proficiency in Python.
• Intermediate proficiency in JavaScript/TypeScript.
• Proven experience with backend development, particularly designing APIs and microservices.
• Experience in building and optimizing AI agents using frameworks like LangChain or LLAMAIndex.
• Familiarity with search algorithms, vector databases, and Retrieval-Augmented Generation (RAG) approaches.

Nice to Have:

• Background or practical experience in data engineering.
• Experience with cloud environments, particularly AWS.
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).

Why Join Datrics?

• Work in an ambitious, innovative environment pushing the boundaries of AI technology.
• Engage directly in impactful projects shaping the future of automated intelligence.
• Collaborate with a passionate, supportive team of experienced A-players in tech, committed to your professional growth.

We look forward to meeting skilled engineers eager to contribute to the exciting future of AI-driven products. Join us in transforming industries with cutting-edge AI solutions!

Apply now and be part of our visionary team at Datrics!