About LTIMindtree
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 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree -- a Larsen & Toubro Group company -- solves the most complex business challenges and delivers transformation at scale. For more information, please visit
Job Title Junior Azure AI Machine Learning Engineer
Location Redmond WA Hybrid Remote options available
Job Summary
We are seeking a motivated and detailoriented Junior Azure AI Machine Learning Engineer to join our growing AI team This role is ideal for individuals with foundational experience in machine learning and cloud computing particularly within the Microsoft Azure ecosystem You will assist in designing developing and deploying AI models and solutions that drive innovation and efficiency across our organization
Key Responsibilities
Assist in building and deploying machine learning models using Azure Machine Learning Studio
Support the integration of AI models into business applications and services
Collaborate with data scientists and software engineers to implement scalable AI solutions
Utilize Azure Cognitive Services eg Vision Language Speech to develop intelligent applications
Help maintain and monitor deployed models for performance and accuracy
Participate in data preprocessing feature engineering and model evaluation
Document development processes and contribute to knowledge sharing within the team
Stay updated with the latest trends in AI ML and Azure technologies
Required Qualifications
Bachelors degree in Computer Science Data Science Engineering or related field
Basic understanding of machine learning concepts and algorithms
Familiarity with Python or R for data analysis and model development
Exposure to Microsoft Azure services especially Azure Machine Learning and Cognitive Services
Strong analytical and problemsolving skills
Good communication and teamwork abilities
Preferred Qualifications
Internship or academic project experience in AIML
Knowledge of MLOps practices and tools eg Azure DevOps ML pipelines
Experience with data visualization tools like Power BI or Matplotlib
Understanding of REST APIs and integration techniques
Skills
Mandatory Skills: AI/GenAI Research
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.