Senior Data Scientist / ML Engineer

Addepto; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote work flexibility

Career development & training

Equipment provided

Job summary

Addepto is recruiting a Lead Data Scientist / AI Engineer / TechLead to work on challenging AI projects across industries. You will lead ML solution development, design architectures, and mentor cross-functional teams, turning business problems into data science solutions with scalable data pipelines.

You will engage with high-profile enterprises and startups, applying AWS/Azure, LLMs, and MLOps in a collaborative, remote-friendly environment with a focus on measurable impact.

Qualifications

• 6+ years of commercial experience designing and implementing scalable AI solutions (ML, NLP, GenAI, CV).
• Experience leading end-to-end ML projects and managing cross-functional teams.
• Proficiency in Python and ML libraries (Scikit-Learn, PyTorch, TensorFlow).
• Proven deployment of solutions in cloud environments (AWS/Azure).
• Knowledge of LLMs, semantic search, embeddings, RAG.
• Strong English communication and client-facing consulting experience.
• Working experience with SQL and NoSQL databases (MongoDB, Snowflake).
• Familiarity with CI/CD (GitHub Actions) and MLOps practices (Kubernetes, Docker).
• Bachelor’s or Master’s degree in a related field.

Responsibilities

• Lead the development, implementation, and validation of ML solutions aligned with project goals.
• Design AI solution architectures to meet complex business needs and drive innovation.
• Research, test, and select tools and AI techniques to satisfy requirements.
• Lead and mentor cross-functional teams and promote collaboration.
• Translate client needs into data science problems and deliver actionable insights.
• Architect and oversee data pipelines, ensuring data quality and security.
• Coordinate with Data Eng and Software Eng to build AI applications.
• Present findings and recommendations clearly to stakeholders.
• Prioritize and manage tasks within an Agile/Scrum framework.

Skills

6+ years experience

AI solutions

Python

ML libraries

AWS/Azure

LLMs

SQL/NoSQL

CI/CD

MLOps

Kubernetes/Docker

English (C1)

Cross-functional leadership

Education

Bachelor’s or Master’s in CS/DS/Math/Physics

Tools

AWS

Azure

Kubernetes

Docker

Databricks

Spark

GitHub Actions

Snowflake

MongoDB

Job description

Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Lead Data Scientist /AI Engineer / TechLead, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:

• AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
• AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.
  

Your main responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
• Lead the design of AI solution architectures that meet complex business goals and drive innovation.
• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
• Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills.
• Understand clients’ needs and translate business problems into data science problems.
• Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
• Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications..
• Present findings and recommendations clearly and concisely to stakeholders.
• Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.

What you’ll need to succeed in this role:

• 6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).
• Experience in leading end-to-end Machine Learning projects and managing cross-functional teams.
• Proficiency in developing ML algorithms from scratch to production deployment.
• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow).
• Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure).
• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
• High proficiency in English (C1 level).
• Excellent communication skills and consulting experience with direct interaction with clients.
• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
• Good knowledge of CI/CD principles (GitHub and GitHub Actions).
• Familiarity with MLOps practices, Kubernetes and Docker.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
• Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.

Discover our perks & benefits:

• Work in a supportive team of passionate enthusiasts of AI & Big Data.
• Engage with top-tier global enterprises and cutting-edge startups on international projects.
• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
• Accelerate your professional growth through career development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences. Benefit from partnerships with Databricks and Anthropic, which provide access to industry-leading training materials and certification programs.
• Participate in team-building events and utilize the integration budget.
• Celebrate work anniversaries, birthdays, and milestones.
• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Get full work equipment for optimal productivity, including a laptop and other necessary devices.
• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.