Lovelytics is seeking a skilled consultant with experience delivering and selling strategic Databricks and data engineering client engagements.
This Principal ML Consultant you will take a leadership role in defining and executing the architectural strategy for AI engagements, with a strong emphasis on generative AI technologies. You will work closely with pre-sales teams to shape AI proposals, mentor and coach junior team members on client projects, and develop proprietary tools and accelerators to streamline client AI deployment. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data through thought leadership and execution.
This role is open to remote candidates in the following states: AZ, CA, DC, VA, MA, MD, FL, GA, IL, IN, NC, NJ, NY, PA, OR, TN, TX, WA as well as Ontario, CA
Primary Job Responsibilities:
- Fill the role of solutions architect for our largest and most complex client engagements focused on developing ML pipelines, utilizing NLP frameworks, and integrating data sources to systems using Databricks
- Lead the design and architecture of large-scale AI systems, ensuring they are scalable, secure, and aligned with business and client requirements.
- Provide hands-on guidance to technical teams during the design, development, and deployment of AI models, ensuring they meet performance, scalability, and quality standards.
- Partner with our Technical Directors to lead the creation of intellectual property (IP) and AI accelerators, such as reusable components, tools, and frameworks, to streamline AI project delivery and improve time-to-market.
- Provide thought leadership in the form of blogs, technical ideation for Lovelytics' new offerings, and solutions for client's problems across various verticals.
- Work hand-in-hand with our presales team to successfully sell, plan, and deliver engagements
- Apply your skills with Databricks, using Python, spark, pyspark, and big data streaming to pioneer client technologies and data
- Manage projects to ensure project milestones are reached within the given timeline and budget allocated
Our Ideal Candidate's Skills and Experiences:
- B.S. in Computer Science or equivalent
- 8+ years in analytics, ML & AI working with cloud-based data analytics architectures and 4+ yrs' experience working in a professional services environment.
- Proven ability to Formulate data science and machine learning strategies to align with business objectives, including GenAI architectural patterns such as RAG and ReACT.
- Mastery of advanced deep learning techniques and transfer learning as well as NLP frameworks
- 2+ years experience implementing AI/ML projects and production implementation on databricks
- Extensive experience in designing large-scale AI systems, including the integration of AI pipelines, data architectures, and cloud-based deployments.
- Advanced experience developing Machine Learning models or ML Ops processes
- Excellent communication skills are a MUST, all our employees are client-facing, and this role requires
- Ability to extract and transform data via Python, deep exposure and understanding of data warehousing, ETL pipelines, etc.
- Overall understanding of analytics from analytic engineering to visualization tools
What We Promise You:
- Exciting projects with great clients in varying departments and verticals across the world
- The ability to work closely with experienced data engineers and quickly grow and expand your skillset
- The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
- A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
- A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better
Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.
