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Role - MLops Engineer

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Role Overview

We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.

Key Responsibilities

• Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
• Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
• Automate ML workflows using CI/CD best practices and tools.
• Ensure model reproducibility, governance, and performance tracking.
• Monitor deployed models for data drift, model decay, and performance metrics.
• Implement robust versioning and model registry systems.
• Apply security, performance, and compliance best practices across ML systems.
• Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.

Required Skills & Qualifications

• 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
• Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
• Working knowledge of AWS DataZone (preferred).
• Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
• Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
• Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
• Solid understanding of DevOps and cloud-native infrastructure practices.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

Job Requirements:  

• Strong command over language
• Strong visualisation skills
• Highly skilled with creating content and understanding the needs of the client and delivering the right grammar for the audience for each piece of content
• Can effectively research and organise data for all related topics for various industries/businesses
• Can create and edit original copy that is accurate, well-researched, and meets client/company needs and deadlines.
• Should have enough experience with creating content for B2B and for B2C marketing
• Should have written for videos, blogs, websites, podcasts,etc. 
• Having worked on content for corporate videos/ explainers will be an added advantage. 
• Can work well under pressure and to tight timelines
• Exposure to understanding the video production process would be an added benefit
• Understanding of global quality and trends in marketing content and content writing

Qualifications: 

• Strong creative vision, insight-driven, problem solving skills and understanding of business objectives  and brand strategy
• A proven track record of leading and managing teams.
• Great communication and presentation skills
• Exceptional writing skills 
• Ability to craft engaging and persuasive content  that resonates with the target audience while adhering to brand guidelines and voice.
• Capacity to think outside the box and develop unique angles and approaches to communicate messages effectively.
• Ability to conduct thorough research to understand client needs, brand positioning, and competitive landscapes.
• The ability to work well under pressure and adhere to tight deadlines

Job Description:

1) Good experience in Java

2) Hands-on experience in Spring boot

3) Hands-on experience in Microservices

1.      Core Responsibilities

·        Build, maintain and manage a team capable of delivering the data operations needs of the banks data teams and other stakeholders, ensuring the team is right sized, motivated and focused on key goals and SLAs.

·        Maintain, develop and enhance the tools and environments used by the data teams to ensure availability of Development, Test and production environments

·        Manage all data operations database changes observing industry standard software development life cycle approaches with development, testing and deployment supported by comprehensive documentation

·        Manage releases of code from the engineering team to ensure separation of duty

·        As subject matter expert take a key contributing role in data initiatives such as infrastructure development, software tool evaluation, intra company data integration

·        Assess system performance and process efficiency making recommendations for change

·        Identify gaps and technical issues affecting data flows and lead the development of solutions to these

·        Work with internal and external stakeholders to ensure that data solutions are reliably populated on time

·        Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

·        Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.

·        Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

·        5 years previous experience supporting datawarehousing, data lake solutions is essential

·        5 years previous experience of Microsoft SQL Server SSIS is desirable

·        Experience with monitoring and incident management is essential

·        Experience of managing a technical team is desirable

·        Experience working in an IT environment

·        Experience working within banking or other financial institutions is desirable

·         

3.      Knowledge Requirements

·        Strong background of working in data teams

·        Robust knowledge of RDBMS principles and how best to manage environments

·        Strong knowledge of a standardised SDLC is desirable

Key Responsibilities

• There are two main responsibilities of the role:
  • to increase the overall top line by increasing the application rate(optimizing the funnel) 
  • ensuring more users are retained post the first consumption cycle. 
• Create and refine effective programs that leverage tenure and customer behaviour data, and include a mix of triggered and targeted campaigns.
• Identify key, measurable metrics for Customer lifecycle programs with a focus to test and scale rapidly.
• Create, implement and optimize daily/weekly/monthly campaigns and user journeys (retention and reactivation - both automated and not automated)
• Generate deep insights about customers that increase their retention, root-cause & predict churn and lead to inventing new ways to delight and retain customers. Will include conducting primary & secondary customer research through surveys and talking directly with customers. 
• Experiment across the whole retention & re-activation funnel constantly looking for maximum impact on DAU (daily active users)
• Brainstorm new ways of segmenting potential customers and means of communication, leading to quick-test pilots with clear measurable outcomes