Position Responsibilities:

• Lead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions utilizing processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements.
  
• Lead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; Manage complex workstreams, expectations, budgets, deliverables, and multiple responsibilities using structured approaches for operational excellence and communicating results to executive level audiences.
  
• Work with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data; Leverage a variety of data sources (social media, news, internal/external documents, images, video, voice, emails and operational data).
  
• Leverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs and Semantic Search.
  
• Plan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery while working with team members to capture assumptions, risks, and develop approaches to mitigate issues.
  
• Refactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading and distributed processing to achieve throughput goals.
  

Qualifications:

• Minimum of ten years of experience leading teams of at least ten data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
  
• Masters degree or PhD from an accredited college/university in Computer Science, Engineering, or related fields.
  
• Ability to work with the business to understand business goals to create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints; With expertise in delivering projects using leading processes including strong knowledge of data discovery, cleaning, model selection, validation and deployment.
  
• Understanding of data preparation, machine learning, deep learning, natural language processing, and development practices (testing, code design, complexity, and code optimization); Ability to discuss mathematical formulations, alternatives, and impact on modeling approach.
  
• Fluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly; Work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j).
  
• Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in Europe and Africa without the need for visa sponsorship now or in the future.
  

Benefits:

• Equity share
  
• Paid benefits for the employees: Medical, Dental, Vision.
  
• Casual Office Atmosphere
  
• Commuter Benefits Program
• Company Sponsored Events & Team Building Experiences
  

If you are the right candidate for this position, kindly send your resume to [email protected]. Ensure you use DDSNLP01OBT as your subject.