Data Scientist (Barcelona)

Data Scientist (Barcelona)

04 ago
|
Mphasis
|
Barcelona

04 ago

Mphasis

Barcelona

ph3Job Title /h3 pJob Title: AI/ML Engineer Designation: Data Scientist /p pLocation: Barcelona /p h3Job Summary /h3 pWe are seeking a talented and motivated AI/ML Engineer to join our dynamic team in Barcelona. The idóneo candidate will be responsible for designing and implementing machine learning algorithms that enhance user experience through improved predictions based on user selections. You will work with large datasets and collaborate closely with our development team to deploy effective solutions into production. /p h3Responsibilities /h3 ul liDesign and implement machine learning algorithms that learn from user selections to enhance future predictions. /li liDevelop efficient solutions for retrieving the most relevant candidates from extensive datasets containing millions of records. /li liBuild, test, and optimize machine learning models for accuracy and performance. /li liCollaborate with the development team to ensure seamless deployment of machine learning solutions into production environments. /li liContinuously monitor and improve model performance based on user feedback and data analysis. /li liDocument processes, methodologies, and results to facilitate knowledge sharing within the team. /li /ul h3Mandatory Skills /h3 ul liStrong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. /li liExperience working with large-scale datasets and implementing search/retrieval techniques. /li liSolid understanding of recommendation systems, ranking algorithms, or similar machine learning applications. /li liProven ability to build, test, and optimize machine learning models for real-world applications.



/li liStrong analytical and problem-solving skills, with a keen attention to detail. /li /ul h3Preferred Skills /h3 ul liExperience deploying machine learning models into production environments. /li liFamiliarity with cloud platforms such as AWS, Google Cloud, or Azure. /li liKnowledge of data visualization tools and techniques. /li liExperience with version control systems, particularly Git. /li liAbility to work collaboratively in a team-oriented environment. /li /ul h3Qualifications /h3 ul liBachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. /li liStrong portfolio showcasing relevant projects and contributions to machine learning initiatives. /li liExcellent communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders. /li /ul h3About Mphasis /h3 pMphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis' Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers.



Mphasis' Service Transformation approach helps 'shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients. /p h3Equal Opportunity Employer /h3 pMphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here. /p pMphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to and let us know your contact information and the nature of your request. /p /p #J-18808-Ljbffr

📌 Data Scientist (Barcelona)
🏢 Mphasis
📍 Barcelona

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