Jobs · cutshort

Q

Sr Machine Learning Engineer

Lumen Dynamics · Indexed today

onsiteFull-timesenior5-8 yrs5445000-6655000 INR🇮🇳 India
Apply on cutshort

About the role

Build and deploy production-ready machine learning models and monitoring systems.

Building Pivotal DS is hiring Sr. Machine Learning Engineer job (Remote only) | Cutshort

Sr. Machine Learning Engineer
Building Pivotal DS
Sr. Machine Learning Engineer

at Building Pivotal DS
Agency job
5
\- 9 yrs
₹45L - ₹55L / yr
Remote only
Skills
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Responsibilities:
– Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets.
– Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
– Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
– Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
– Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead.
Requirements:
– 3+ years work experience with production-grade python- preferably contribution to open source repost.
– Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
– Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
– Some working experience with TensorFlow or PyTorch is preferred.
– Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.
Read more
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma
Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort

Similar jobs

Global Digital Transformation Solutions Provider
Agency job
Bengaluru (Bangalore), Hyderabad, Noida, Mumbai, Navi Mumbai, Ahmedabad, Chennai, Coimbatore, Gurugram, Kochi (Cochin), Kolkata, Calcutta, Pune, Thiruvananthapuram, Trivandrum
7
\- 15 yrs
₹15L - ₹30L / yr
Amazon Web Services (AWS)
Python
Data Lake
SENIOR DATA ENGINEER:
ROLE SUMMARY:
Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.
RESPONSIBILITIES:
– Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
– Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
– Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
– Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
– DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
– Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
– Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
– Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
– Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
– Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.
REQUIRED QUALIFICATIONS:
– Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
– Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
– Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
– ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
– Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
– DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
– Serverless and events: Design event-driven distributed systems on AWS.
– NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
– AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.
NICE-TO-HAVE QUALIFICATIONS:
– Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
– Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
– Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
– Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.
OUTCOMES AND MEASURES:
– Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
– Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
– Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
– Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
– Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.
LOCATION AND SCHEDULE:
●      Location: Outside US (OUS).
●      Schedule: Minimum 6 hours of overlap with US time zones.
Read more

tech startup in bangalore
Agency job
Bengaluru (Bangalore)
2
\- 10 yrs
₹10L - ₹25L / yr
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
Javascript
+4 more
Design, develop, and maintain high-quality software solutions using programming
languages such as Java.
Implement backend services using frameworks like Spring Boot and frontend
interfaces using frameworks like React.
Apply deep knowledge of algorithms and data structures to solve complex problems
efficiently.
Optimize code for performance, scalability, and reliability.
Work with SQL and NoSQL databases to design, implement, and manage data storage
solutions.
Ensure data integrity and optimize database queries.
Leverage open-source tools and frameworks to develop scalable and maintainable
solutions.
Stay updated on the latest trends in open-source technologies.
Utilize Linux systems for development and deployment.
Automate and streamline processes using Linux tools and scripts.
Develop and maintain mobile applications that align with user requirements and
business goals.
Collaborate with cross-functional teams to ensure seamless integration with backend
systems.
Work closely with product managers, designers, and other engineers to bring ideas to
life.
Participate in code reviews, testing, and debugging to ensure high-quality
deliverables.
Read more

Posted by
Mayank choudhary
Pune
4
\- 8 yrs
₹17L - ₹21L / yr
Business Analysis
Data Analytics
Google Analytics
– Strong Behavioral Data Analyst Profiles
– Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
– Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
– Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
– Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
– Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
– Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
– Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
– Mandatory (Note): Don't want data analysis but business/product/user analyst
Read more
![TIGI HR](https://cu

Read the full posting on cutshort

Why this role stands out

  • Pays more than 96% of comparable ml roles paid in INR in India
  • Hiring worldwide — no location constraint

FAQ

Is the Sr Machine Learning Engineer role at Lumen Dynamics remote?+

This Sr Machine Learning Engineer position is listed as onsite.

What is the salary for the Sr Machine Learning Engineer role at Lumen Dynamics?+

The listing states 5445000-6655000 INR.

What seniority level is this Sr Machine Learning Engineer role?+

This is a senior level position.

How do I apply for the Sr Machine Learning Engineer role at Lumen Dynamics?+

Use the "Apply on cutshort" button to open the original posting on cutshort, where you can submit your application directly to Lumen Dynamics.