Sales Team Leader

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

We are looking for immediate joining, candidate should be from Delhi NCR, interested candidate can call r WhatsApp me the updated CV. Candidate from Optical Industry only need to apply.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.

Require Someone skilled in python / C/C++ to work on new products and also support existing AI based products . 

Should be open to learning new frameworks

• Reviews design specifications to understand the scope, requirements, and function of the software product.
• Preparation of test data and execution of test cases (including functional, system, regression, performance, API and database layer etc.)
• Identifies appropriate processes, parameters, functions, and data to test and validate; parameters may include general function, the validity of results, accuracy, reliability, and compliance with industry standards.
• Lead and participate in test case reviews with Business, Developers, other team members
• Estimate, prioritize, plan and coordinate testing activities
• Ensure that user expectations are met during the testing process
• Design, develop and execute automation scripts using open source tools
• When a product does not perform within specifications, reporting defects to programmers while identifying and recommending solutions, improvements, and updates.
• Identifies, logs, and recreates error codes, bugs, and defects.
• Draft quality assurance policies and procedures
• Investigate production issues
• Conducts testing to ensure products perform according to product requirements and within established guidelines.

Responsibilities:

• Configure and maintain Tableau Server Software Layer.
• In charge of system administration (includes site creation, server maintenance/upgrades/patches) and change management
• Monitor server activity/usage statistics to identify possible performance issues
• Carry out performance tuning of tableau server environment (clustering, load balancing)
• Create/Manage groups, workbooks and projects, database views, data sources and data connections.
• Proactively communicate with stakeholders to resolve issues and get work done
• Set up a governance process around Tableau dashboard processes.

Qualifications

• Bachelor's degree in computer science, business analytics or related field
• 3 or more years of professional experience as an administrator
• Experience in developing, configuring and administering Tableau Server.
• Ability to play with data and build reports / dashboards using Tableau
• Strong written and verbal communication skills

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Python analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the Python community to understand the problems with static analysis tools in the ecosystem.

• Identify bad code practices in Python and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 2 years of professional software development experience in Python.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Python best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

As a 3D modeler you will be responsible for creating virtual worlds and characters. You will be bringing life into sketches and concept art. You will be working in a team with lots of other talented artists, engineers and programmers. You must be well versed with industry standard 3D modeling programs and tools. Good spatial skills and a well honed sense of color and design will help you succeed in this job.

Responsibilities

• Create and manage digital assets
• Interpret concept art and sketches to create virtual characters, environment and props
• Follow design guidelines, asset naming conventions and other technical constraints
• Prototype and iterate on models and characters based on feedback from team members
• Create textures and UV maps
• Optimize, refine and correct model geometry
• Rig models and characters for animation
• Work with artists, animators and programmers to execute projects on time
• Keep abreast with the latest developments in 3D design, capture and modeling tools and technologies

Requirements

• Expert level knowledge of 3D design in 3DS Max
• An eye for detail and good visualization skills
• Ability to take feedback and make changes as required
• Extensive knowledge of character design, rigging, skinning etc.
• Some familiarity with animation techniques
• Good communication skills
• Minimum 2 years of experience in 3D design and modeling

Contract length: 12 months