Addepto
Data Scientist (Mid/Senior/Lead)
Addepto, Snowflake, Arizona, United States, 85937
Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.As a Lead Data Scientist / ML Engineer, 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.Discover our perks and 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 paths ,
knowledge-sharing
initiatives,
language
classes, and sponsored
training
or
conferences .Choose from various employment options: B2B, employment contracts, or contracts of mandate.Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.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.In this position, you will:
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 AL solutions to meet the business requirements.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, Computer Vision, GenAI).Experience in Machine Learning projects
leadership
and team mentoring.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 ( AWS
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.Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.Leadership and mentoring experience is highly desirable.
#J-18808-Ljbffr
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.Discover our perks and 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 paths ,
knowledge-sharing
initiatives,
language
classes, and sponsored
training
or
conferences .Choose from various employment options: B2B, employment contracts, or contracts of mandate.Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.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.In this position, you will:
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 AL solutions to meet the business requirements.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, Computer Vision, GenAI).Experience in Machine Learning projects
leadership
and team mentoring.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 ( AWS
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.Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.Leadership and mentoring experience is highly desirable.
#J-18808-Ljbffr