Director - Machine Learning Engineer

Director - Data, AI, Solutions & Engineering About Baringa: We set out to build the world's most trusted consulting firm - creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE 100 names to bright new start-ups, in every sector. You'll find us collaborating shoulder-to-shoulder with our clients, from the big picture right down to the detail: helping them define their strategy, deliver complex change, spot the right commercial opportunities, manage risk, or bring their purpose and sustainability goals to life. Our clients love how we get to know what makes their organisations tick - slotting seamlessly into their teams and being proudly geeky about solving their challenges. As a Certified B Corporation®, we've proven that we've built social and environmental good into every bit of what we do. We have hubs in Europe, the US, Asia and Australia, and we work all around the world - from a wind farm in Wyoming to a boardroom in Berlin. Find us wherever there's a challenge to be tackled and an impact to be made. Our Digital & AI practice is looking for an experienced Machine Learning Engineer to join the team as a Director. In Digital & AI, we are focused on delivering value-adding, sustainable data capabilities, aligned to our client's specific needs. This expertise is applied across clients in all our industry market sectors (Financial Services, Product & Services, Energy & Resources, Telecommunications & Media). This is a unique opportunity to join an exciting, rapidly growing team with the backing of a much larger, established business. What you will be doing You will be using your experience to help our clients solve their most important data challenges through project delivery and high-quality project execution. You will be responsible for performing QA across various Machine Learning projects, acting as the US AI Lead for Baringa. You would also be responsible for business development and supporting the growth of our team, helping them build the skills they need to solve our client's challenges. Typical engagements include: Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in the loop and can take ownership after you roll off the project Performing maturity assessments across clients' Cloud / AI environments and recommending improvements Building ML strategy blueprints and advising clients on the different technology options (MLFlow vs. Sagemaker vs. W&B etc.) Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organization's strategy, policies, and standards and in some cases, help customers to define new policies, principles, and standards Helping clients to identify risks and mitigations for their ML and DS programs, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP) Working with clients in key areas of ML model governance, such as in defining principles including fairness, transparency, interpretability, and accountability Your skills and experience We are looking for people who can both advise our clients and get hands on in technical delivery to bring a solution to life. Below, we list some of the skills and qualifications we are looking for. Of course, we do not expect you to be an expert in all areas and we understand that experiences vary based on the background and years of experience. 10+ years of experience in professional services/consulting Passionate individual who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements Expertise in ML modelling, comfortable with a range of supervised and unsupervised ML algorithms Interested in building AI applications, ranging from image recognition applications to large language model based chatbots Ability to design and maintain ML pipelines and architectures on modern frameworks to meet functional business requirements Hands on experience using one of 3 major cloud technologies (AWS, Azure, or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning Studio) Knowledge and experience of deep learning frameworks (e.g., PyTorch, Tensorflow) Proven ability to build ML model deployment pipelines in a scalable production environment Experience with LLM implementations (e.g., Chat Assistants, RAG, Embeddings, Guardrails, etc.) Competent in Python or one other modern programming languages A master's degree in a technical discipline (computer science, engineering or another STEM discipline) would be helpful but is not essential for success Be a 'lifelong learner' and can demonstrate a drive to always be learning and developing your skillsets and develop the skillsets of others around you What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognize the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Salary range: $245,000 - 285,000 Medical, dental, and vision insurance at no cost for employee-only coverage. These benefits utilize comprehensive networks to offer coverage throughout the United States Company-paid group term life, short-term disability, long-term disability, and travel insurance Participation in our 401k retirement plan; we contribute 3% of your annual base salary and match up to an additional 2% if you contribute to the plan Ability to set aside pre-tax dollars toward commuter benefits, Health Savings Account, Flexible Spending Account, and Dep-care FSA Baringa People Fund - an opportunity for every employee to manage their wellbeing through an activity of their choice outside of work Paid Parental leave of 16 weeks for primary caregivers Opportunities to grow your skills and knowledge through a range of learning courses and resources Five weeks' annual leave, with an additional two-week recharge after five years Diversity and Inclusion. We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. An award-winning workplace. You can be a part of our 'Great Place to Work' - with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we've achieved this. Using business as a force for good. At Baringa we believe that everyone creates a lasting impact when you put people - customers, employees, investors, suppliers, and society - first. Our B Corpâ„¢ certification shows that we've met and held ourselves accountable to high standards of social and environmental performance and transparency. Our award-winning people-first philosophy makes us distinctive - Be Kind. Be Curious. Be Great at Work. We're proud of our recent exploration of kindness and its role in business in our first-ever brand campaign: Economics of Kindness. You can see some additional recent impact work by clicking here. Join us All applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.

Created: 2024-11-05