Business Developer

Data Engineer – Validation & Quality

Responsibilities

• Build rule-based and statistical validation frameworks using Pandas / NumPy.
• Implement contradiction detection, reconciliation, and anomaly flagging.
• Design and compute confidence metrics for each evidence record.
• Automate schema compliance, sampling, and checksum verification across data sources.
• Collaborate with the Kernel to embed validation results into every output artifact.

Requirements

• 5 + years in data engineering, data quality, or MLOps validation.
• Strong SQL optimization and ETL background.
• Familiarity with data lineage, DQ frameworks, and regulatory standards (SOC 2 / GDPR).

Palcode.ai is hiring Software Tester – QA Manual Tester

Position: QA Manual Tester

Experience: 1 Year

Location: Remote

Employment Type: Full-time

About the Role: We are looking for a detail-oriented QA Manual Tester with around 1 year of hands-on experience to join our Quality Assurance team. The ideal candidate should have strong testing fundamentals, good analytical skills, and the ability to work collaboratively with developers and product managers to ensure high -quality product delivery.

Responsibilities:

Create and execute test cases for web/mobile apps. Perform functional, regression, and UI testing.

Report and track bugs using tools like JIRA.

Collaborate with developers and product teams in an Agile/Scrum setup.

Ensure proper test documentation.

Requirements:

1 year of manual testing experience.

Understanding of SDLC, STLC, and testing types.

Familiarity with bug tracking tools (e.g., JIRA).

Basic SQL knowledge is a plus.

Strong communication and problem-solving skills.

What We Offer:

Opportunity to work on challenging real-world projects.

Collaborative and growth-focused work culture.

Learning opportunities with exposure to automation tools

ABOUT EPISOURCE:

Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases.

The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company.

What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve.

ABOUT THE ROLE:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations, clinical named entity recognition, improving patient health, clinical suspecting and information extraction from clinical notes.

This is a role for highly technical data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship data-driven architectures that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company and help build a foundation of tools and practices used by quantitative staff across the company.

During the course of a typical day with our team, expect to work on one or more projects around the following;

1. Create and maintain optimal data pipeline architectures for ML

2. Develop a strong API ecosystem for ML pipelines

3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible

4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems

5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations  

6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms

7. Designing scalable implementations of the models developed by our Data Science teams  

8. Big data and distributed ML with PySpark on AWS EMR, and more!

BASIC REQUIREMENTS 

1.  Bachelor’s degree or greater in Computer Science, IT or related fields
   
   

2.  Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
   
   

3. Strong experience with bash scripting, unix environments and building scalable/distributed systems
   
   

4. Experience with automation/configuration management using Ansible, Terraform, or equivalent
   
   

5. Very strong experience with AWS and Python
   
   

6. Experience building CI/CD systems
   
   

7. Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent

8. Ability to build and manage application and performance monitoring processes

• Proven at least 2 to 3 years of work experience as a Front-end developer
• Hands-on experience with markup languages
• Experience with JavaScript,Next.Js and Tailwind is a must
• Familiarity with browser testing and debugging
• In-depth understanding of the entire web development process (design, development and deployment)
• Understanding of layout aesthetics
• Excellent analytical and multitasking skills
• Engineering Graduates preferred

Job Description

The selected candidate should have minimum 18+ years of delivering SAP projects and min 3+ years of leadership role experience. This role will report to SAP Practice Delivery head and take care of SAP delivery for a market unit at Wipro. A Key member of the practice delivery leadership team for delivering all SAP technology solutions ensuring a sustainable and profitable growth with right level of customer satisfaction. 

Responsibilities:

• Customer stakeholder management
• Collaborate with sales and pre-sales team to ensure a deliverable solution offerings with right price
• Manage all SAP projects & associated processes 
• To manage and engage a large and diverse team and partners
• Manage SAP practice operations including workforce management
• Continues improvement & innovation in delivery models
• SAP capability building and workforce transformation
• Spearheading revenue portfolio of $100M+ (Must)
• Handling FTE of 1000+ resources (Must)

• Editorialist YX is looking for a Technical Architect - Search. As part of this role, you will work with a team that builds a unified search platform to power various searches for our .com website,IOS app, and internal support tools. This search impacts thousands of customers in a day and will also become pivotal to our tech efforts as we continue to grow 30x YoY.

• You will own the technical direction for the team, and you will be leading key search projects from ideation all the way to deployment. You will be working closely with both technical and business leaders to fulfill your mission.
• Salary is no bar for the relevant candidate. 

• 6+ years of experience working in java and web services.
• 6+ years of experience working in the Search domain.
• Proven skills in designing scalable, highly available distributed systems which can handle high data volumes.
• Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
• Solid understanding of concurrency and multi-threading, multiple design patterns, and debugging and analytical methodologies.
• Hands-on experience on Solr Cloud or ElasticSearch.
• Deep understanding of information retrieval concepts.
• Deep understanding of Linguistic processing like tokenizers, spellers, and stemmers.
• Hands-on experience on big data tech stacks, like Hadoop, Hive, Cassandra, and Spark is a plus.
• Self-directed, self-motivated, and detail-oriented with the ability to come up with good design proposals and thorough analysis of production issues.
• Excellent written and oral communication skills on both technical and non-technical topics.

• Designing and building a search engine using elastic search with engineers in the team for overall success for Search and other ML-based systems.
• Collaborate with peers from other Engineering groups to tackle complex and meaningful problems with efficient and scalable delivery of Search solutions.
• You are expected to be self-motivated, dedicated, and a solution-oriented individual. The main responsibilities for this position include:Leading effort to build large-scale, distributed, and highly available systems and pipelines.
• Leading effort to build large scale and highly available information retrieval systems
• Design and develop solutions using Java tech stack.
• Design and implement as per secure guidelines
• Work with QA to identify issues and fix them.

• B.Tech. in Computer Science or equivalent experience
• 6+ Yrs of experience in Java, Web services & Search Domain
• Experience working in Product based company

• Retiral Benefits
• Medical Insurance
• Remote Working Opportunity for the time being
• MacBook
• Stock Options
• Gym Membership