At a Glance
- Tasks: Lead AI/ML projects, design solutions, and manage client relationships.
- Company: Join 66degrees, a leader in AI transformation and innovation.
- Benefits: Competitive pay, flexible work options, and growth opportunities.
- Other info: Dynamic team culture focused on innovation and personal development.
- Why this job: Make a real impact by transforming businesses with cutting-edge AI solutions.
- Qualifications: 6+ years in data science and strong technical skills required.
The predicted salary is between 60000 - 80000 £ per year.
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
A 66degrees AI/ML Architect is a multifaceted professional responsible for leading the technical development and implementation of AI/ML solutions, managing client relationships, and ensuring the delivery of business value. They serve as the primary technical point of contact for clients and act as the bridge between them and our delivery team. Beyond their role as technical leaders, AI/ML Architects are strategic partners to clients, ensuring that AI/ML projects are successfully executed and deliver significant business value. They balance technical expertise with strong client management and project oversight skills. Additionally, they identify and inform about upselling opportunities within their client engagements to continue growing our relationship with the client. AI/ML Architects are the frontline representatives of this team to the broader organization, Google, and clients. The strength of our brand is reflected in the capabilities and leadership of the architects who lead this team.
Duration: 4+ Months
Targeted start date: Mid June
Responsibilities
- Project Leader: An AI/ML architect is responsible for serving as the primary technical point of contact for the client. Their key responsibilities of this role include:
- Gathering Requirements: Engaging with clients to understand their needs and requirements for the solution.
- Designing Solutions: Creating tailored solutions that meet client specifications and business goals.
- Client Communication: Maintaining clear and effective communication with the client throughout the project lifecycle.
- Identifying and Mitigating Risk: Monitoring the project to ensure it stays within the defined scope and managing any changes or expansions.
- Building Sprints: Planning and organizing work into sprints alongside the DM to ensure timely and efficient delivery of the project.
- Bridging Gaps: Facilitating collaboration between different teams to ensure seamless integration and delivery of the AI/ML solution.
- Ensuring Ethical AI: Implementing ethical AI practices, including fairness, interpretability, privacy, and safety and security.
- Trusted Advisor: AI/ML architects strive to become trusted advisors to their clients. This involves:
- Building Trust: Establishing strong, trust-based relationships with clients.
- Ensuring Value: Ensuring that AI/ML projects deliver significant business value and meet client objectives.
- Providing Expertise: Offering expert advice and insights on AI/ML strategies and solutions.
- Identifying Opportunities: Recognizing and communicating to sales upselling opportunities to deliver additional value to clients.
- Thought Leader: As a Thought Leader, AI/ML architects lead the technical competencies of this team:
- Staying Informed: Keeping abreast of the latest research, trends, and innovations in AI/ML.
- Professional Development: Continuously improving their own skills through courses, certifications, and industry conferences.
- Fostering Innovation: Promoting a culture of innovation within their team by encouraging new ideas and experimenting with cutting-edge technologies.
- Tool and Technology Evaluation: Assessing and integrating the latest tools and technologies to enhance AI/ML solutions and improve project outcomes.
- Knowledge Sharing: Sharing expertise and insights with their team and the broader organization to foster a learning environment and keep everyone updated on industry trends.
- Mentor: An architect's role extends beyond technical expertise; it includes mentoring engineers and facilitating knowledge sharing across the team and organization.
Qualifications
- 6+ years of experience with data science.
- Deep practical execution across complex multi-variable linear/logistic regression, time-series forecasting, and structural classification models.
- Experience with large-scale multi-dimensional clustering, propensity segmenting, and custom anomaly detection.
- Hands-on model customization utilizing frameworks like PyTorch, TensorFlow, Keras, or specialized toolsets.
- Proven experience designing autonomous, state-managed agentic workflows.
- Practical, production-level code deployment utilizing advanced multi-agent frameworks.
- Hands-on competency implementation with Model Context Protocol (MCP) patterns.
- Proven experience taking models completely from POC to enterprise deployment.
- Strong software engineering fundamentals with expert-level Python and SQL.
- Deep immersion with Docker, Kubernetes, and setting up Git-backed testing frameworks.
- Deep experience extracting, cleansing, and transforming fragmented, massive data streams.
- Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets.
- Bachelor’s degree in Data Science, Computer Science or similar.
- Experience with Google Cloud Platform.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, colour, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools to assist with sourcing, role analysis, and capturing interview highlights. These tools augment our process, but we ensure all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us find the best fit for our team.
Data Science Architect, Contract employer: 66degrees
At 66degrees, we pride ourselves on being an exceptional employer that champions innovation and professional growth in the dynamic field of AI and data science. Our collaborative work culture fosters creativity and encourages employees to thrive through challenges, while our commitment to ethical AI practices ensures that you will be part of a team that values integrity and transparency. With ample opportunities for mentorship and continuous learning, joining us as a Data Science Architect means contributing to meaningful projects that drive real business value in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Architect, Contract
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. Whether it’s a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI/ML roles. Think about how you can demonstrate your problem-solving skills and technical expertise. We want to see how you tackle challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at 66degrees.
We think you need these skills to ace Data Science Architect, Contract
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Science Architect role. Highlight your relevant experience in AI/ML and how it aligns with the responsibilities mentioned in the job description. We want to see how you can bring value to our team!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention specific tools and frameworks you've worked with, like PyTorch or TensorFlow, and any successful projects you've led. This is your chance to shine and show us what you can do!
Communicate Clearly:Effective communication is key, especially since you'll be the primary point of contact for clients. Make sure your application reflects your ability to convey complex ideas simply and clearly. We love candidates who can bridge the gap between tech and client needs!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at 66degrees!
How to prepare for a job interview at 66degrees
✨Know Your Stuff
Make sure you brush up on your data science fundamentals and the specific technologies mentioned in the job description. Be ready to discuss your experience with frameworks like PyTorch, TensorFlow, and how you've implemented AI/ML solutions in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex business challenges using AI/ML. Think about specific projects where you gathered requirements, designed solutions, and delivered value to clients. This will demonstrate your ability to be a Project Leader.
✨Build Rapport with the Interviewers
Remember, you're not just being assessed for your technical skills but also for your ability to build trust with clients. Practice active listening and engage with your interviewers by asking insightful questions about their projects and challenges.
✨Stay Current and Innovative
Keep yourself updated on the latest trends in AI/ML. Be prepared to discuss recent advancements or tools you've explored. Showing that you're a Thought Leader who fosters innovation will set you apart from other candidates.