Data Scientist with GenAI expertise


We are currently looking for a highly skilled and motivated Generative AI Engineer to join our talented engineering team. As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services.

About the team / Business Unit

Digital is the paradigm of our days – everything is digital or at least smart and is to operate efficiently with the best and newest technology available, delivering insights, improving business and disrupting business models. To be successful, companies will need to demonstrate Digital capabilities to understand and get the best out of their Data, design products that build connections between people and processes, use the latest Technology. Within Cognizant the Digital Business Practice works with Clients across all Industries to help them becoming Digital: transforming their Business, Processes, and IT with a constant view on Business impacts. Human centricity is a key parameter making decisions and building solutions.

About the role

A Data Scientist with Generative AI Engineering skills is crucial for advancing the field of artificial intelligence and machine learning. They specialize in creating and developing generative models that have the ability to generate new content, such as images, text, and audio, based on patterns and data. Their work enables advancements in various industries, including creative arts, content creation, virtual reality, and data synthesis, expanding AI capabilities and driving innovation in applications that require realistic and creative outputs.

You will need to deliver high quality and innovative data driven solution to our client’s needs. This will include, working within a team on the clients site: understanding the client’s pain, designing an analytical approach, implementing a solution, ensuring it is of high quality, and leading and mentoring junior team member.

About you

  • Minimum of 2-5 years of relevant experience in Big Data, Data Science, ML, Data Engineering or as a Software developer mandatory.
  • Proven experience as a Data Scientist or Data Analyst
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience of on-site / offshore delivery model
  • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Understanding/certification of PMP, PRINCE2 and ITIL processes and application development methodologies.
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Expose to data mining
  • Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
  • Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
  • Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
  • Optimizing existing generative AI models for improved performance, scalability, and efficiency.
  • Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
  • Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
  • Contributing to the establishment of best practices and standards for generative AI development within the organization.
    Providing technical mentorship and guidance to junior team members.

Must haves

  • Proven working experience as a Data Scientist or Data Analyst
  • You have a master‘s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.
  • Experience in understanding Any Cloud Integration and Services
  • Solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
  • Understanding of Data Mining, Deep Learning and Tensor flow
  • You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
  • Build predictive models and machine-learning algorithms
  • Expertise in Generative AI (certifications preferred), note also non-job related experience gained from courses and self-study is considered and desirable.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
  • You have strong knowledge of data structures, algorithms, and software engineering principles.
  • Working experience data preparation, models training and Identify valuable data sources and automate collection processes
  • You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
  • You have knowledge of software development methodologies, such as Agile or Scrum.
  • Very good experience programming languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
  • Coding knowledge and experience in any of these following languages: R, Python, Scala, Java
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc
  • Understanding the DevOps for Integration, experience in Java or Python API’s
  • Expose/experience in Cloud technology & integration.
  • Working experience in data bricks and open source
  • Experience using any of the following web services or similar: Redshift, S3, Spark, Digital Ocean, etc
  • You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
  • Working experience in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Working experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gourbi, MySQL, etc
  • Working experience with customer understanding the KPI and define the technical design

Nice to have/ Your chance to grow

  • You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
  • You are proficient in LLM‘s and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
  • You have strong knowledge of data structures, algorithms, and software engineering principles and processes.
  • You are certified in cloud-based platforms and services, such as AWS, GCP, or Azure.
  • You have experience with natural language processing (NLP) techniques and Langchain
  • You have knowledge of software development methodologies, such as Agile or Scrum.
  • You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
  • You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.'
  • You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

What we offer you

Job Value

  • A job with immense value - global mission, to help our customers reach their goals with AI
  • A futuristic mix of AI , Engineering and Science, several opportunities for trainings and free certifications
  • Join a great partner network, with events and the ability to participate in Hackathons, earn badges and other forms of recognition.
  • An international team of Aces - highly intelligent and versatile engineers

Compensation Package

  • Competitive salary

Work-Life Balance

  • Flexible work hours
  • Flexible work location – hybrid
  • Regular Team building activities and travels Charity and volunteer activities
  • Employee Recognition program

Employee Status: Full Time Employee
Shift: Day Job
Travel: No
Job Posting:Feb 12 2024

About Cognizant

Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world.

Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.


Gem job

Cognizant Technology Solutions Denmark ApS
Publiceret: 13. februar 2024

Arbejdssted

Copenhagen