MLE Ops/Data Science Consultant

Dell provides the technology that transforms the way we all work and live. But we are more than a technology company — we are a people company. We inspire, challenge, and respect every one of our over 100,000 employees. We also provide them with unparalleled growth and development opportunities. We can’t wait for you to discover this for yourself as a Lead Machine Learning Engineer on our Applied Science team within Dell Technologies Services

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us as a Consultant on our Data Science team in Bangalore to do the best work of your career and make a profound social impact.

What you’ll achieve

As a Data Science Consultant, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also collaborate with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

• Orchestrate touchpoints in a Machine learning project and build optimized/scale architecture for deployment
• Design Data Pipelines & platform to operationalize Machine Learning models at scale
• Mentor ML Engineers in the team on daily execution
• Work with data science team to enable robust decision-making in terms of thinking about scale, latency, throughput requirements. Create tools/systems to speed-up ML lifecycle.
• Play a significant role in enabling adoption of sophisticated algorithms and data mining strategies.
• Generates new practices and processes for effective ML engineering, in alignment with core subject-matter expertise.

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Data Science Platforms like Domino Data Lab, Microsoft Azure, AWS, and Google Cloud (working environment to build and deploy models)
• Primary experience with object-oriented programming languages such as C# or Java and familiar with data science tools, frameworks, and data engineering tools such as Python, Spark, TensorFlow, XGBoost, etc
• Software engineering experience particularly related to productionizing ML models and scaling them in low-latency settings.
• Proficient in Data Mining, Data transformation and Database building (ETL, SQL OLAP, Teradata, Hadoop )
• Knowledge of cloud-native computing DevOps, data streaming and extraction, parallelized workloads using Docker, Kubernetes, Test Driven Development and Continuous Integration / Continuous Deployment

Desirable Requirements

• Creative Problem solving approach
• Large experience in machine learning and especially building solution thru Neural Network is a plus
• Big Data experience in driving real time analytics