Channel Partner Sales Manager

• Strong Product Security Engineer profiles
• Mandatory (Experience 1) – Must have 3+ years of hands-on experience in Security Engineering, preferably in B2B SaaS or Fintech environments.
• Mandatory (Experience 2) – Strong working knowledge of Cloud Security (AWS), Infrastructure Security, and Application Security.
• Mandatory (Experience 3) – Must have hands-on experience with compliance frameworks and audits, including SOC 2, GDPR, and ISO 27001.
• Mandatory (Experience 4) – Experience in setting up, managing, and tracking security tools such as MDM, endpoint agents, and related security tooling.
• Mandatory (Experience 5) – Background in building and scaling security practices for early-stage startups (preferably Series A–C).
• Good to Have (Certification 1) – Relevant security certifications such as CISSP, CEH, OSCP, or equivalent.

Job Title: AI Engineer

Location: Bengaluru 

Experience: 3 Years 

Working Days: 5 Days

About the Role

We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.

As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
• Build and integrate GenAI agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Continuously monitor and retrain models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
• Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
• Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
• Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
• Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.

Must have skills:

1. GCP - GCS, PubSub, Dataflow or DataProc, Bigquery, Airflow/Composer, Python(preferred)/Java

2. ETL on GCP Cloud - Build pipelines (Python/Java) + Scripting, Best Practices, Challenges

3. Knowledge of Batch and Streaming data ingestion, build End to Data pipelines on GCP

4. Knowledge of Databases (SQL, NoSQL), On-Premise and On-Cloud, SQL vs No SQL, Types of No-SQL DB (At least 2 databases)

5. Data Warehouse concepts - Beginner to Intermediate level

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data

from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical

data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source

applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data

warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate,

design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and

data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data

requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into

reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers,

quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

We are looking for a Senior AI / ML Engineer to join our fast-growing team and help build AI-driven data platforms and intelligent solutions. If you are passionate about AI, data engineering, and building real-world GenAI systems, this role is for you!

🔧 Key Responsibilities

• Develop and deploy AI/ML models for real-world applications

• Build scalable pipelines for data processing, training, and evaluation

• Work on LLMs, RAG, embeddings, and agent workflows

• Collaborate with data engineers, product teams, and software developers

• Write clean, efficient Python code and ensure high-quality engineering practices

• Handle model monitoring, performance tuning, and documentation

Required Skills

• 2–5 years of experience in AI/ML engineering

• Strong knowledge of Python, TensorFlow/PyTorch

• Experience with LLMs, GenAI, RAG, or NLP

• Knowledge of Databricks, MLOps or cloud platforms (AWS/Azure/GCP)

• Good understanding of APIs, distributed systems, and data pipelines

🎯 Good to Have

• Experience in healthcare, SaaS, or big data

• Exposure to Databricks Mosaic AI

• Experience building AI agents

Responsibilities:

- Develop and maintain high-quality mobile applications using React Native.

- Collaborate with cross-functional teams to gather requirements and translate them into high-level designs.

- Write clean, reusable, and well-structured code following industry best practices and coding standards.

- Conduct code reviews and provide constructive feedback to ensure code quality and adherence to standards.

- Mentor and guide junior developers, providing technical expertise and promoting professional growth.

- Collaborate with backend developers to integrate APIs and ensure smooth data flow between the app and server.

- Stay updated with the latest trends and advancements in React Native and mobile app development.

- Work in a 10 AM to 6 PM, six-day office role, maintaining regular attendance and punctuality.

Required Skills and Qualifications:

- Strong proficiency in React Native development.

- Experience with Redux or similar state management libraries.

- Proficiency in integrating APIs and working with backend services.

- Sound knowledge of JavaScript, ES6+, and modern web technologies.

- Familiarity with Git version control system and agile development methodologies.

- Good problem-solving and debugging skills.

- Excellent communication and teamwork abilities.

- Bachelor's degree in Computer Science or a related field (preferred).

Join Arroz Technology Private Limited as a React Native App Developer and be part of an innovative team driving the development of cutting-edge mobile applications. This role offers competitive compensation and growth opportunities within a dynamic work environment.

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.

• Build relationships with prospective clients
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's degree 3+ years in sales industry
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong negotiation skills
• Strong communication and presentation skills
• CRM experience is preferred

What you need to have:

• Defining and documenting best practices and strategies regarding application deployment and infrastructure maintenance
• Providing guidance, thought leadership and mentorship to development teams to build cloud competencies
• Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
• Managing cloud environments in accordance with company security guidelines
• Developing and implementing technical efforts to design, build and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics
• Participating in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
• Troubleshooting incidents, identifying root cause, fixing and documenting problems and implementing preventive measures
• Educating teams on the implementation of new cloud-based initiatives, providing associated training as required

Desired Candidate Profile

• Bachelor’s degree in computer science, information technology
• 2+ years of experience as architect, designing, developing, and implementing cloud solutions on AWS platforms
• Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytic
• Proven ability to collaborate with multi-disciplinary teams of business analysts, developers, data scientists and subject matter experts
• Self-motivation with the ability to drive features to delivery
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly
• AWS certifications are a plus
• Knowledge of web services, API, REST, and RPC    

• Develop and execute both manual test scripts/cases based on analyzed requirements for the Hematology Medical Device.
• Investigates software, hardware, system problems and determines root causes for failures.
• Report and track the defects to closure, support for defect investigation, validate defect fixes and analyze the impact of fixes.
• Be involved in test lab management and improvement of test process activities.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Biomedical Engineering or other relevant degree and 6+ years of relevant experience
• Work Experience Requirements: 6 or more years of experience in developing software system test designs and procedures.
• Experience in testing of software systems, preferably related to medical instrumentation
• Able to evaluate system specifications and requirements for completeness and testability
• Able to generate test designs and procedures from specifications and use cases, using industry-standard test design techniques, with minimal guidance
• Good understanding of software testing methodologies
• Experience with Requirements Management and Traceability
• Experience with Automated Software Testing is a plus
• Able to Document specifications, and or test documentation
• Able to execute test procedures manually, with minimal guidance
• Ability to work independently and proactively with minimal direction.
• Excellent communication skills. Ability to interface with various internal and external stakeholders.
• Experience in IVD instrumentation, such as clinical chemistry, immunoassay, hematology, urinalysis, molecular, microbiology, or flow cytometry systems, a plus.

Nice to Have

• Understanding of software development processes for a regulated environment (ISO9000/FDA) is a plus