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About the job

o  Candidate will be in leading role to thoroughly understand client requirements and expedite functional and technical design for the overall planning solution; lead team of experienced and novice to deliver solutions meeting client expectations. 

o  Candidate must be well versed with Feedstock ranking (Indifference), Rolling Plans, Back-casting, configuration selection and plant debottlenecking studies, update of multi-period, multi-plant linear programming models. 

o  Candidate should have worked in Refinery and Petrochemical companies (in Production Planning, Technical Services division) and /or delivered Planning solution to Oil and Gas clients in consulting assignments. 

o  Candidate should have knowledge of refinery / petrochemicals plant configurations, their economics, blending operations, yield accounting, crude blending, product distribution, crude arrival sequencing.

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Machine Learning +Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker

Notice period - 0 to 15days only

Hybrid work mode- 3 days office, 2 days at home

We are looking for a dynamic and detail-oriented HR Executive to support the human resources department in all facets of HR operations. This role involves managing employee relations, recruitment, performance management, training, and administrative duties to ensure smooth HR processes and a positive work environment.

Qualifications:

• Bachelor’s degree in Human Resources, Business Administration, or related field.
• 3+ years of experience in an HR role, preferably in a fast-paced environment or organization.
• Experience with HRMS/HRIS (Human Resource Management Systems) and MS Office Suite (Excel, Word, PowerPoint) is preferred.

Skills and Abilities:

• Strong knowledge of HR practices and labor laws.
• Excellent communication and interpersonal skills.
• Ability to maintain confidentiality and handle sensitive information.
• Strong organizational skills with attention to detail.
• Ability to handle multiple tasks and prioritize effectively.

KEY DUTIES

• Independently own and resolve high-priority or complex customer issues with minimal supervision
• Reproduce and analyze product defects using advanced troubleshooting techniques and tools
• Collaborate with developers to identify root causes and drive timely resolution of defects
• Identify trends in escalations and provide feedback to improve product quality and customer experience
• Document investigation findings, root causes, and resolution steps clearly for both internal and external audiences
• Contribute to knowledge base articles and process improvements to enhance team efficiency
• Represent the escalation team in product reviews or defect triage meetings
• Build subject matter expertise in specific products or components
• Mentor and assist junior team members by reviewing their investigations and coaching through complex cases
• Participate in Agile ceremonies and contribute to team planning and backlog refinement
• Other duties as assigned

BASIC QUALIFICATIONS

• Typically requires 3–6 years of technical experience in a support, development, or escalation role
• Strong technical troubleshooting and root cause analysis skills
• Proficient in debugging tools, logs, and test environments
• Ability to independently manage multiple complex issues and drive them to closure
• Experience working with cross-functional teams in a collaborative, Agile environment
• Proficiency with relevant scripting or programming languages (e.g., Python, Bash, PowerShell, Java)
• Exceptional written and verbal communication skills — especially when engaging with customers in critical or escalated situations
• Demonstrated customer-first mindset with an emphasis on clarity, empathy, and follow- through
• Proactive and detail-oriented, with the ability to document and communicate technical concepts clearly
• Comfortable presenting findings or recommendations to both technical and non-technical stakeholders

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

• 3 years Experience in Ruby on Rails
• Minimum 3 years in MongoDB / PostgreSQL
• Must be from Product based companies   

We are seeking an experienced quality assurance engineer to develop and execute exploratory and automated tests to ensure product quality. As a quality assurance engineer, you will be responsible for creating and implementing a strategy for quality coordination and testing as well as suggesting solutions to identified quality problems. Your role includes designing and implementing tests, debugging, and defining corrective actions.

The role plays an important part in our company’s product development process. Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets as per the requirements. If you hold an engineering background and enjoy providing end-to-end solutions to software quality problems, we’d like to meet you.

mail resume to   qa @ theintegrityglobal.com

• Reviewing requirements, specifications, and technical design documents to provide timely and meaningful feedback.
• Thorough knowledge of performing end top end functional testing as an individual contributor.
• Knowledge of creating detailed, comprehensive, and well-structured test plans, test scenarios, and test cases.
• Strong knowledge of software QA methodologies, tools, and processes.
• Knowledge of preparing reports to communicate the outcomes of quality activities.
• Sound knowledge of automation concepts.
• Expert-level knowledge of automation using selenium tools. Hands-on experience of design, develop, and execute automation scripts.
• Knowledge of automation using Selenium or other open-source tools.
• Good knowledge of API automation
• Good knowledge of database concepts and SQL queries.
• Experience with performance and/or security testing is a plus.
• Knowledge of any CI/CD tools is a plus.

• Passion and commitment to work in a startup environment.
• Team player, good time-management skills, and great interpersonal and communication skills.
• Highly motivated, self-starter that can operate under minimal supervision.
• Familiarity with agile software development methodologies is also a plus.

• Bachelor’s degree in engineering from a reputed institution. Master’s degree preferred. 
• 5+ years of work experience as a quality assurance engineer 
• Knowledge of the healthcare and life science domain would be plus