Senior Machine Learning Engineer

About Us:

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.

Job Title:

AI/ML Product Owner Role

Work Location

USA (Tampa, FL) (Onsite)

JOB DESCRIPTION:

This is an expert technology role in AI/ML space in a fast-paced delivery organization supporting regulatory compliance. This position is part of AML Global Technology team and will work closely with data scientists, ML professionals, project managers, architecture teams and other stakeholders. The individual will be responsible to drive the development of the AI technology roadmap, provide the required support to the Product team for end-to-end life cycle encompassing design, development and deployment of ML based solutions at an enterprise scale to support business use cases.

The individual should also be able to support multiple projects end to end, provide technical expertise and guidance to both Product and Development teams, and be responsible for successful execution of the projects running in AML monitoring space.

RESPONSIBILITIES:

- Support the team providing end-to-end solution, starting from understanding the requirements, creating research proposals, implementation of the research by exploring different methods and algorithms, documenting and presenting results.

- Use analytical and statistical methods, programming and data modeling to analyze large amounts of data and come up with actionable insights

- Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity

- Documents projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics

- Work with Product Business Analysts, data scientists, ML engineers, business stakeholders and other technology teams to ensure quality solution is delivered at enterprise scale

- Provide thought leadership by researching standard methodologies in AI/ML, collaborating and contribute actively on the standards and best practices

- Take ownership and have end to end responsibility from planning stage to presenting results

-Work in an agile environment by continuously reviewing the business needs, refining priorities, outlining milestones and deliverables, and identifying opportunities and risks

-Create features and functionalities which enable achievement of business goals by collaborating with stakeholders

-Create and support the product backlog prioritizing features which enable maximizing the business value

-Facilitate backlog decomposition sessions with the technology teams to clearly define requirements from a user perspective, inclusive of acceptance criteria breaking down large stories for the team to consume in one sprint

-Participate in the testing /review sessions and provide support for release

- Contribute to the team in various aspects – knowledge sharing, guidance to more junior members, contribute to shared code library, establish best practices and methodologies.

QUALIFICATIONS:

- Total 12 years of working experience in development and implementation of ML based solutions/pipelines with atleast 5 years of relevant experience in providing expertise in large scale ML projects

- At least 5 years of hands-on data science experience in using data analytics, visualization, statistical programming and data mining for problem-solving. Domain knowledge and experience in Banking and AML is a plus.

- Proven experience in development and implementation of ML based solution/pipelines in a large scale enterprise setup

- Excellent understanding of data science, machine learning techniques, algorithms and toolkits to develop scalable solutions for production.

- Applied quantitative and statistics skills, such as statistical analysis, distributions, multivariate testing, regression, classification and optimization algorithms etc. to design tests, interpret and explain results

- Familiar with MLOps tools like MLflow or Kubeflow, deep learning frameworks like Tensorflow or Pytorch

- Knowledge in big data systems (Hadoop, Spark, Hive)

- Working experience in Dataiku is an advantage

OTHER SKILLS:

- Excellent communication skills, ability to explain complex technical concepts and analysis implications to varied audiences.

- Ability to translate business objectives into actionable analysis.

- Proven ability to work with teams that are geographically separated

- Should be a self-starter with a high level of initiative.

- Should be able to lead end-to-end project including requirement gathering, design, development and stakeholder management.

EDUCATION:

Degree in Machine Learning, Computer Science, Statistics, Applied Math, or relevant qualifications suitable for this role. Master’s degree is a plus.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Safe return to office:

In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.