Data Scientist | Machine Learning (WFH)


Job Description

Position: Machine Learning Engineer
Experience: 5+ years
Salary: INR 3,30,000/- per month (based on experience)
Expected Notice Period: 2 to 4 Weeks
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Direct Placement
(Note: This is a requirement for one of Uplers’ clients)

Primary Skills:
– Pyspark
– Pytorch
– NoSql
– OOP programming language
– Python
– Data Science
– Java

Our Hiring Partner is Looking for:
A Machine Learning Engineer who is passionate about their work, eager to learn and grow, and committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Roles & Responsibilities:
As a Machine Learning Engineer, you will be a hands-on developer who designs and delivers Data Warehouses, Data Lake, Self-service tooling, Real-time streaming, and Big Data Solutions for our rapidly growing Customer Service Operations. Working within the Data Engineering organization, this individual will tightly partner with business, product managers, and engineering leaders to build data platforms enabling these goals. You will be instrumental in building out the data pipelines to ensure our data is generated, transformed, and mutated over time, working to build a cohesive, scalable, accurate, and performant foundational source of truth upon which all data & analytics users across the company will build.

What You’ll Do:
– Build data pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements.
– Deliver Data Engineering capabilities for streaming and batch-based data ingestion, enrichment, and aggregation.
– Design and develop sophisticated data models and visualizations that support multiple use cases across different products or domains.
– Define and manage SLA for all data sets in allocated areas of ownership.
– Work closely with data architects, SMEs, and other technology partners to develop & execute on the data architecture roadmap for different functional areas.
– Mentor and grow technical skills of engineers across multiple sprint teams by giving high-quality feedback in design and code reviews and providing training for new methods, tools, and patterns.
– Collaborate with stakeholders and other business analytics team leaders.

What we’d love to see (but it isn’t required):
– Customer Service or E-commerce analytics experience (a strong plus)
– Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Statistics, or another quantitative discipline
– Prior experience in data science or a closely related quantitative field

This Role Requires:
Skills and Expertise:
– 5+ years of experience in Data Engineering roles
– Hard skills (More than 5 skills)
– Application Design and Design Patterns
– Performance Engineering Model Deployment and Evaluation
– ML Frameworks such as PyTorch and Tensorflow (not a must)
– 1+ year of experience in Data Science/Machine Learning Concepts & Experience
– 3+ years of programming experience with at least one language such as Python, Scala, Java, or another modern OOP programming language
– 3+ years’ experience in writing SQL statements
– Event-based programming, Microservices
– ML Ops, Operational Excellence, Production support
– 3+ years’ experience with schema design and dimensional data modeling
– Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
– Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale (GCP is preferred, GCP certification is even better)
– Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm, or any similar tools
– Experience in CI/CD, Jenkins/Buildkite, Docker
– NoSQL Databases like MongoDB, Cassandra, HBase (optional)
– Have implemented any data pipeline end to end (MUST)
– Excellent communication and presentation skills, strong business acumen, critical thinking, and the ability to work cross-functionally through collaboration with engineering and business partners
– Ability to learn quickly and drive deliverables while maintaining ownership/bias.
– A team player who is at ease delivering in a group setting.

How to apply for this opportunity:
1. Register or login on our portal & fill out the application.
2. Clear the given assessment(s) and click on ‘Apply’ to get shortlisted.
3. Once completed, our team will contact you with an interview with our SME/Matcher.
4. Once it’s all done, your profile will be shared with the client.
5. When selected, just meet the client and get your exciting career started!

About our Hiring Partner:
We are a leading IT consulting and services firm offering the right blend of technology and skill-set to organizations across industries. With experience in delivering premier consulting services to Fortune 500 companies, we promise superior performance, a quality-focused approach, and world-class service delivery while reducing overhead costs by approximately 70%.

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role is to help all our talent find and apply for relevant remote direct placement opportunities and progress in their careers. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don’t hesitate to apply today. We are waiting for you!

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