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Azure Machine Learning Lead
3 months ago
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 .
Job Title:
Azure Machine Learning Lead
Work Location
Bellevue, WA
Job Description:
We are seeking an experienced and innovative Azure Machine Learning Lead and Architect to join our dynamic team. In this role, you will lead the design, development, and implementation of advanced machine learning models and solutions using the Azure platform. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient ML solutions. The ideal candidate has a strong background in machine learning, data science, and cloud architecture, with a proven track record of leading ML projects from conception to deployment. Experience in the marketing domain is a significant advantage.
Key Responsibilities
Leadership and Strategy
- Lead the end-to-end development and deployment of machine learning models and solutions on Azure.
- Develop and implement the strategic vision for machine learning initiatives in alignment with business goals.
- Mentor and guide a team of data scientists, ML engineers, and data engineers.
- Stay updated with the latest advancements in machine learning, AI, and cloud technologies, and apply them to improve solutions.
Architectural Design and Development
- Design scalable, robust, and cost-effective ML architectures on the Azure platform.
- Work closely with stakeholders to gather and analyze requirements, and translate them into technical solutions.
- Implement best practices for ML model development, deployment, and monitoring.
- Ensure the security and compliance of ML solutions with industry standards and regulations.
Collaboration and Communication
- Collaborate with data engineers, software developers, and other IT professionals to integrate ML solutions with existing systems.
- Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
- Foster a culture of innovation, continuous learning, and collaboration within the team.
Operational Excellence
- Optimize ML models for performance, scalability, and cost-efficiency.
- Monitor and maintain ML solutions to ensure they meet performance and reliability standards.
- Troubleshoot and resolve issues related to ML models and Azure infrastructure.
Customer Engagement and Demonstrations
- Demonstrate and oversee demonstrations (e.g., architectural design sessions, and proof of concept [POC] sessions) of products, services, and integration through initial engagements.
- Leverage partner/customer teams as needed to prove capabilities and integration into the customer environment.
- Present and apply architecture patterns to partners or customers and drive cross-workload support for Microsoft Solutions.
- Apply sales methodologies (e.g., challenger sales) and coach the team in addressing customer digital transformation and leveraging insights to align new or changing technology to customer business needs.
Qualifications
Experience
- 8+ years of experience in machine learning, data science, or a related field.
- 5+ years of hands-on experience with Azure Machine Learning and other Azure services.
- Proven experience in leading and managing ML projects and teams.
- Strong background in statistical analysis, machine learning algorithms, and data processing techniques.
- Experience in the marketing domain is a significant advantage.
Technical Skills
- Proficiency in programming languages such as Python, C# and SQL.
- Experience with ML frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn.
- In-depth knowledge of Azure services including Azure ML, Azure Data Factory, Azure Databricks, Azure Synapse, Azure Functions, and Azure Cosmos DB.
- Familiarity with DevOps practices and tools for ML (MLOps), including CI/CD pipelines.
- Experience with Microsoft Azure OpenAI, SQL, other database platforms, and Microsoft Fabric.
Soft Skills
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work effectively in a fast-paced, dynamic environment.
- Proven ability to lead, inspire, and motivate teams.
Preferred Qualifications
- Certification in Azure Solutions Architect or Azure AI Engineer.
- Experience with big data technologies like Hadoop and Spark.
- Knowledge of deep learning and natural language processing (NLP).
- Experience with Agile methodologies and project management tools.
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.
