Machine Learning
- Multi Recruit
- 10 to 12 Yrs
- Bengaluru
- 4 years ago
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Job Description
- The opportunity to take on some of the worlds most meaningful challenges, helping customers achieve clean water, safe food, abundant energy, and healthy environments
- The ability to make an impact and shape your career with a company that is passionate about growth
- The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best
Role & Responsibilities:
- Actively engage with internal technical and business teams to architect analytics-enabled digital products that deliver insights, predictions, and optimization outcomes, at scale. Lead their ongoing evolution.
- Work alongside IT & engineering groups to leverage cutting edge technology (machine learning platforms, streaming analytics, and real big data) to efficiently deploy data science algorithms, statistical models, and analytical solutions into production
- Own responsibility for the Model Development Life Cycle. Guide your team to set up the environment, design CI/CD pipeline, test & optimize the code, manage model repository & deployments.
- Network and collaborate with a broad range of internal business stakeholders to define and deliver joint solutions.
- Create, maintain and document a robust set of metrics to monitor day-to-day bug detection and long-term performance tracking.
Required Technical Skills for the Candidate
- Knowledge of Microsoft Azure Suite - Azure ML Studio, Azure Data Factory, Power BI/Power Apps
- Experience working with large datasets (several Gigs), using cloud-hosted leading industry platforms or proprietary data science modeling/model deployment software
- Experience leading teams of machine learning engineers & data science personnel engaged in constructing high-performance analytical models using Python/R scripts, ML libraries, Jupyter notebooks.
- Experience in leading design/build of scalable data analytics products/solutions at an enterprise level
- Good understanding of data science model deployments on CI/CD pipelines (specifically Kubeflow); and build/deployment of portable scalable machine learning workflows based on Docker containers
- Hands-on experience working with (any one of): AWS, Google Cloud, Microsoft Azure cloud orchestrations.
- Hands-on experience building out reports on Visualization tools (any of) Tableau, Qlik, Power BI.
- Hands-on experience working with (any one of) database formats: Oracle, SQL Server, DB2, MySQL, Teradata
Background of the ideal candidate
- 10+ years of IT work experience with 5+ years in data engineering/data science roles
- Bachelors degree in Engineering, Math, Science, Statistics, Data Analytics, or Computer Science
- Excellent communication, people management, and leadership skills
- A problem-solving, hands-on mindset. One who can quickly toggle between, diving deep into code to solve a team members technical challenge, and zooming out to think strategically about the solutions being created.
- An independent technical leader who can define new approaches to problems and lead a project development team.
- An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice, meanwhile embracing the full product lifecycle for digital data science.
- The ability to explain complex mathematical solutions in a simple & eloquent manner that most will understand, including customers.
- A team mentality, empowered by the ability to work with a diverse set of individuals, understand and deliver cross-functional requirements to enable holistic customer solutions.
- A focus on scalable development, adhering to best practices for efficient coding and architectural design.
- Ability to champion recommendations and influence decisions at the senior management level
- Ability to establish effective cross-functional partnerships and relationships at all levels in a highly collaborative environment
- Strong experience in handling multi-national client engagements
- Excellent Communication, Interpersonal, people management skills
- Ability to structure and deliver presentations clearly, crisply, and compellingly
Employement Category:
Employement Type: Full timeIndustry: Chemical / Plastic / Rubber / GlassRole Category: Application Programming / MaintenanceFunctional Area: Not ApplicableRole/Responsibilies: Machine LearningContact Details:
Company: Multi RecruitLocation(s): Bengaluru+ View Contact
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₹ 30 - 40 Lakh/Yr
Multi Recruit
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