Field Executive

Job Title : SAP ABAP Technical Consultant

Experience : 17 Years (12+ Years Relevant)

Location : Bengaluru

Work Mode : Full-Time | UK Hours

Mandatory Skills :

ABAP RICEFW, OData & SAP Gateway, ABAP on HANA (CDS, AMDP), Debugging & Performance Optimization.

Good-to-Have : SAP BTP (CAP), SAP PI/PO or CPI, ABAP Workflow, RESTful ABAP Programming.

Key Responsibilities :

• Design, develop, and customize ABAP programs to enhance SAP functionalities.
• Build and optimize ABAP on HANA objects (CDS Views, AMDP).
• Handle data migrations, integrations, and OData services for Fiori apps.
• Develop RICEFW objects and collaborate on BTP/CAP extensions.
• Ensure compliance with SKAT and Nordic localization requirements.

Required Skills :

• Strong expertise in ABAP RICEFW development (Reports, Interfaces, Conversions, Enhancements, Forms).
• Hands-on experience with OData services & SAP Gateway for Fiori applications.
• Proficiency in ABAP on HANA (CDS Views, AMDP, performance optimization, advanced debugging).
• Experience in data migration & third-party integrations.
• Knowledge of BTP extensions (CAP) and modern SAP development frameworks.
• Familiarity with SAP PI/PO or CPI for system integrations.
• Understanding of SAP Workflow solutions and RESTful ABAP Programming Model.
• Ability to ensure compliance & localization (SKAT, Nordic tax authority standards).

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

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

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered 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.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

Role Description

Nextloop Technologies LLP is seeking a full-time Business Development Intern to join our on-site team in Indore. The intern will be responsible for conducting market research to identify new opportunities, generating leads through targeted strategies, engaging with potential clients, and maintaining relationships to foster business growth. Tasks include assisting in developing business proposals, generating client presentations, analyzing market data, and supporting customer service initiatives. The role offers a collaborative and dynamic environment where interns contribute actively to expanding the company’s reach and business potential.

Qualifications

We are looking for a motivated IT Sales Intern to join our business development team. This role offers hands-on exposure to IT sales processes, lead generation, and client engagement, with mentorship from senior managers.

Key Responsibilities

Work closely with senior managers, receiving step-by-step guidance and mentorship.

• IT Lead Generation: Identify and research new customers and business opportunities.
• Outreach: Engage prospects via calls, emails, LinkedIn, and professional networking.
• Sales Funnel Support: Assist with lead qualification, scheduling meetings, and follow-ups.
• CRM Management: Maintain accurate and up-to-date client information in CRM tools.
• Sales & Marketing Alignment: Collaborate with marketing teams on targeted campaigns.
• Market & Competitor Analysis: Analyse market trends, customer needs, and competitor strategies.
• B2B IT Sales Support: Assist in selling IT solutions to business clients across industries.

Experience: 4+ years.

Location: Vadodara & Pune

Skills Set- Snowflake, Power Bi, ETL, SQL, Data Pipelines

What you'll be doing:

• Develop, implement, and manage scalable Snowflake data warehouse solutions using advanced features such as materialized views, task automation, and clustering.
• Design and build real-time data pipelines from Kafka and other sources into Snowflake using Kafka Connect, Snowpipe, or custom solutions for streaming data ingestion.
• Create and optimize ETL/ELT workflows using tools like DBT, Airflow, or cloud-native solutions to ensure efficient data processing and transformation.
• Tune query performance, warehouse sizing, and pipeline efficiency by utilizing Snowflakes Query Profiling, Resource Monitors, and other diagnostic tools.
• Work closely with architects, data analysts, and data scientists to translate complex business requirements into scalable technical solutions.
• Enforce data governance and security standards, including data masking, encryption, and RBAC, to meet organizational compliance requirements.
• Continuously monitor data pipelines, address performance bottlenecks, and troubleshoot issues using monitoring frameworks such as Prometheus, Grafana, or Snowflake-native tools.
• Provide technical leadership, guidance, and code reviews for junior engineers, ensuring best practices in Snowflake and Kafka development are followed.
• Research emerging tools, frameworks, and methodologies in data engineering and integrate relevant technologies into the data stack.

What you need:

Basic Skills:

• 3+ years of hands-on experience with Snowflake data platform, including data modeling, performance tuning, and optimization.
• Strong experience with Apache Kafka for stream processing and real-time data integration.
• Proficiency in SQL and ETL/ELT processes.
• Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with scripting languages like Python, Shell, or similar for automation and data integration tasks.
• Familiarity with tools like dbt, Airflow, or similar orchestration platforms.
• Knowledge of data governance, security, and compliance best practices.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
• Ability to work in a collaborative team environment and communicate effectively with cross-functional teams

Responsibilities:

• Design, develop, and maintain Snowflake data warehouse solutions, leveraging advanced Snowflake features like clustering, partitioning, materialized views, and time travel to optimize performance, scalability, and data reliability.
• Architect and optimize ETL/ELT pipelines using tools such as Apache Airflow, DBT, or custom scripts, to ingest, transform, and load data into Snowflake from sources like Apache Kafka and other streaming/batch platforms.
• Work in collaboration with data architects, analysts, and data scientists to gather and translate complex business requirements into robust, scalable technical designs and implementations.
• Design and implement Apache Kafka-based real-time messaging systems to efficiently stream structured and semi-structured data into Snowflake, using Kafka Connect, KSQL, and Snow pipe for real-time ingestion.
• Monitor and resolve performance bottlenecks in queries, pipelines, and warehouse configurations using tools like Query Profile, Resource Monitors, and Task Performance Views.
• Implement automated data validation frameworks to ensure high-quality, reliable data throughout the ingestion and transformation lifecycle.
• Pipeline Monitoring and Optimization: Deploy and maintain pipeline monitoring solutions using Prometheus, Grafana, or cloud-native tools, ensuring efficient data flow, scalability, and cost-effective operations.
• Implement and enforce data governance policies, including role-based access control (RBAC), data masking, and auditing to meet compliance standards and safeguard sensitive information.
• Provide hands-on technical mentorship to junior data engineers, ensuring adherence to coding standards, design principles, and best practices in Snowflake, Kafka, and cloud data engineering.
• Stay current with advancements in Snowflake, Kafka, cloud services (AWS, Azure, GCP), and data engineering trends, and proactively apply new tools and methodologies to enhance the data platform. 

Summary:

Passionate and energetic inside sales personnel who can connect and engage with leads via outbound calls, set up the appointments and can clearly communicate the company's brand identity.

• 1+ years of successful experience selling enterprise software products or services
• Identify prospects grow and manage sales pipeline to achieve targets
• Coordinate software demos and service presentations with prospects and internal business development team.
• Experience in market research, data mining and cold calling.
• Generate new potential client through cold calling, social media platforms.
• Communicating with the Organization heads and schedule the appointments for product demo.
• Self-motivated, able to work independently and as a member of a remote team.
• Proven ability to build and manage a sales pipeline and achieve targets
• Market Research to identify new markets and prospects.
• Excellent communication skills (presentation, verbal, and written)
• Demonstrated expertise in building and maintaining client relationships
• Good convincing ability and confident personality.
• Data driven approach towards the sales process.
• Full understanding of the sales process from database generation to fixing the appointments.

• Min 1 year of relevant experience in software/hardware sales
• Strong communication and presentation skills.
• Knowledge of lead generation and email hunting.
• Excellent knowledge of search engines, web analytics and business research tools.
• Adequate knowledge of data collection methods.
• Strong analytical and critical thinking.
• Good working knowledge of MS Word and Excel

• As a Lab Technician, you will work on PCB assembling, PCB reworking, soldering, and desoldering. And maintaining the LAB
• Soldering and desoldering of the electronic components down to 0402 packages and through-hole components.
• Good electrical knowledge of Electronic components and their assembly requirements
• Kit preparation as per BOM/JOB List
• Will be supporting Hardware Design Engineers in the design, prototype, testing & production phases of the project.
• Hands-on experience in handling crimping tools, multimeter, CRO, DSO, Drill machines, hand tools, etc. Digital multimeter and other testing equipment.
• Good knowledge of AC and DC low and high-voltage power supplies.
• System Assembly and disassembly skills.
• Work on multiple locations (JBN & Cheemasandra)
• Qualification : ITI / Diploma (Electrical / Electronics / Electronics and communication, Instrumentation and Electronics or equivalent)
•  

We are looking for an Integration Engineer to assist our rapidly growing customer base. As part of our integration team, you will be the primary point of contact for all integrations.

You would be responsible for helping our clients integrate with OneFin APIs, configuring our system for clients and providing ongoing help to them to resolve any issues. Eventually you should be able to automate common issues and development of solutions.

You’ll fit right in with us if you have a passion for unraveling complex issues and are comfortable working in a fast-paced environment. If you’re looking to work in an open, collaborative environment side-by-side with our development engineers to help customers and shape future product design, we can’t wait to hear from you!

Responsibilities

• Understand and explain APIs to clients.
• Help clients integrate OneFin APIs.
• Research and identify solutions to issues during integration.
• Escalate unresolved issues to appropriate internal teams (e.g. software developers).
• Become a product expert for clients.
• Configure OneFin system for customized usage by clients.
• Identify and write internal and external technical articles or knowledge-base entries, like typical troubleshooting steps, workarounds, or best practices, how-to guides etc.
• Automate solution of common issues using Python.
• Help live clients resolve issues and coordinate with the development team for issue resolution.

Requirements

• BS/B.Tech. in Computer Science, Engineering, or equivalent.
• Strong verbal and written communication skills.
• Experience in writing code in Python.
• Understanding of web based systems.
• Proficient in understanding and writing JSON.
• Experience in SQL databases.
• Experience working with REST APIs.

• Excellent analytical skills, passion for pinning down technical issues, and solving problems.
• Enjoys a fast-paced startup environment.