Machine Learning Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Project Description• We are looking for a machine learning and natural language processing Consultant to explore, design and develop new Machine Learning solutions for a Firm-wide user base leveraging many tools.• The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching, building, and maintaining data science models at scale in an enterprise environment.• The position requires good communication skills, ability to work together in cross-functional technical teams in different areas of the organization.Key Responsibilities• Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications, legal documents, regulatory requirements etc.• Technical analysis and software development Design and implement business solution in agile squads Engage in Machine Learning project, which includes problem definition, Data Engineering, Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.• Develop, maintain and track detailed delivery plansSkills Required• At least 4 years of experience with design and implementation of machine learning, predictive analysis, data science, knowledge bases, recommendation systems, information retrieval.• Strong understanding of the foundational concepts and applied experience in Machine Learning and model explainability (ideally, a combination of excellent academic research and high-impact commercial projects).• In depth understanding of common Machine Learning algorithms (e.g., for classification, regression, and clustering).• Experience with LLM models and Open AI.• In depth knowledge of advanced statistical theories, methodologies, and inference tools.• Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference. Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.• Strong analytical and problem-solving skills.• Familiar with Azure and AWS framework• Experience with non-English Natural Language Processing.• ML Libraries H2O, Keras, Tensorflow• Experience with Deep Learning Banking / Financial Services experience is a plus.Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:• Flexible work• Healthcare including dental, vision, mental health, and well-being programs• Financial well-being programs such as 401(k) and Employee Share Ownership Plan• Paid time off and paid holidays• Paid parental leave• Family building benefits like adoption assistance, surrogacy, and cryopreservation• Social well-being benefits like subsidized back-up child/elder care and tutoring• Mentoring, coaching and learning programs• Employee Resource Groups• Disaster ReliefDisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law.Salary TransparencyCapgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $56186 - 87556 /yearly.This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.