Engineering Manager - InApps

Job description

Team Leader – Collection Process

Experience: Minimum 2 years in loan recovery / collections

Education: Any Graduation

Role & Responsibilities:

Handle and manage a team of up to 20 collection agents

Achieve daily and monthly collection targets

Monitor team performance and provide guidance

Handle escalations and ensure process compliance

Prepare basic MIS and reports using Excel

Skills Required:

Strong knowledge of loan recovery process

Good Excel and data analysis skills

Team handling and leadership skills

Languages:

English mandatory

Any two South Indian languages mandatory

CTC: Based on previous CTC

Location: Bengaluru (On-site)

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc. With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe. We are seeking a self-motivated individual with a positive "can-do" attitude and excellent oral and written communication skills in English to join our team.

Job Description: We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing.

Key Responsibilities · Build scalable real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.

· Perform data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.

· Design and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses, following Medallion Architecture.

· Deploy and optimize data solutions on Azure (preferred), AWS, or GCP with a focus on performance, security, and scalability.

· Develop and optimize ETL/ELT pipelines for structured and unstructured data from IoT, MES, SCADA, LIMS, and ERP systems. · Automate data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards

· Monitor, troubleshoot, and enhance data pipelines for high availability and reliability.

· Utilize Docker and Kubernetes for scalable data processing.

· Collaborate with automation team, data scientists and engineers to provide clean, structured data for AI/ML models.

Desired Skills and Qualifications · Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

· 7+ years of experience in core data engineering, with a strong focus on cloud platforms such as Azure (preferred), AWS, or GCP · Proficiency in PySpark, Azure Databricks, Python and Apache Spark, etc.

. 2 years of team handling experience.

· Expertise in relational databases (e.g., SQL Server, PostgreSQL), time series databases (e.g. Influx DB), and NoSQL databases (e.g., MongoDB, Cassandra) · Experience in containerization (Docker, Kubernetes).

· Strong analytical and problem-solving skills with attention to detail.

· Good to have MLOps, DevOps including model lifecycle management

· Excellent communication and collaboration skills, with a proven ability to work effectively as a team player.

· Comfortable working in a dynamic, fast-paced startup environment, adapting quickly to changing priorities and responsibilities.

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.

This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.

You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.

You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
• Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
• Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
• Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
• Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.

Requirements

• 2-5 years of experience building machine learning or AI systems in production environments.
• Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
• Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
• Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
• Experience building or extensively customizing agent frameworks for real-world applications.
• Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
• Strong Python engineering skills with a focus on scalable and reliable system design.

Nice to Have:

• Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
• Experience building multi-agent or collaborative agent systems.
• Experience designing evaluation frameworks for agent robustness and reliability.
• Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
• Familiarity with distributed task orchestration systems and large-scale AI workflow management.

Your Impact:

• Implements Digital Consumer experiences based on a foundation of SFCC (Salesforce commerce cloud) to meet expected quality standards

• Ensures functional requirements and high-level solution designs are understood and are translated into detailed technical design

• Implement proofs of concept to prove any new technologies, application flows or integration scenarios and identify customizations needed to SFCC platform for meeting client requirements

• Guides the performance tuning and scalability of the ecommerce solution

• Diagnose and solve technical problems during implementation and support phases

Your Skills & Experience:

•  4-8 Years with 2+ years of implementing commerce application on any eCommerce platform in last 3 years

• If you have not worked in eCommerce platform, we can still discuss with you if you are expert in Java/Net and understand REST/SOAP webservices.

• Demonstrate proficiency in build and release management using CI/CD strategies (leveraging tools like Jenkins and DevOps practices), implement Mocha/Chai unit and functional test cases in order to reduce costs while ensuring quality
. Contributes to designing, implementing and documenting the build release process as well as system configuration and deployment characteristics of the applications

• Participates in technical walkthroughs/ code reviews of other team members’ components, test plans and results and help them with gaps

• Collaborate with architect to define implementation processes and quality gates and standards

• Identifies risks and issues, and help monitor them

• Guides the development of reference and resource materials

• Mentors developers in improving their platform knowledge and development skills

• Communicate technical design to the developers and help/guide them in the implementation

• Participates in Agile sprints

Set Yourself Apart With:

• eCommerce platform certification

• Security considerations – OWASP, CSRF, reCAPTCHA etc. – Basic knowledge or experience

• Git Development workflow – Proficient

• Visual Studio Code IDE or Eclipse IDE - Proficient

• Knowledge on Agile methodology and desired tools like Jira, confluence etc.

• Scripting/development experience with Node.js, Mocha/Chai

• Experience working in any Salesforce cloud environment like SFMC, SFSC etc.

• Excellent written, verbal communication and articulation skills & Good team player

• Self-starter and self-learner with keen interest to grow

• Process orientation and the ability to define and setup processes

• Ability to provide necessary coaching to bring team members up to speed on the technology

• Ability to prioritize and manage multiple tasks

• Excellent and innovative approach to problem solving and finding solutions

• Flexible and proactive/self-motivated working style with excellent personal ownership of problem resolution

Must have exp in Django. [ Mandatory]

• The ability to problem-solve and critically think.
• High level of knowledge of Python and the Django framework.
• Familiarity with event driven programming as well as the MVC.
• Good understanding of SQL databases.
• Good understanding of REST APIs.

The Client is the world’s largest media investment company. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

Responsibilities of the role:

·      Manage extraction of data sets from multiple marketing/database platforms and perform hygiene and quality control steps, either via Datorama or in partnership with Neo Technology team. Data sources will include: web analytic tools, media analytics, customer databases, social listening tools, search tools, syndicated data, research & survey tools, etc…

· Implement and manage data system architecture

· Audit and manage data taxonomy/classifications from multiple systems and partners

· Manage the extraction, loading, and transformation of multiple data sets

· Cleanse all data and metrics; perform override updates where necessary

· Execute all business rules according to requirements · Identify and implement opportunities for efficiency throughout the process

· Manage and execute thorough QA process and ensure quality and accuracy of all data and reporting deliverables

· Manipulate and analyze “big” data sets synthesized from a variety of sources, including media platforms and marketing automation tools

· Generate and manage all data visualizations and ensure data is presented accurately and is visually pleasing

· Assist analytics team in running numerous insights reports as needed

· Help maintain a performance platform and provide insights and ongoing recommendations around.

Requirements :

· 5+ years’ experience in an analytics position working with large amounts of data

· Hands-on experience working with data visualization tools such as Datorama, Tableau, or PowerBI

· Additional desirable skills include tag management experience, application coding experience, statistics background

· Digital media experience background preferred, including knowledge of Doubleclick and web analytics tools

· Excellent communication skills

· Experience with HTML, CSS, Javascript a plus