Sales & Operations - Field work

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

We are looking for a passionate AI/ML Intern with hands-on exposure to Large Language Models (LLMs), fine-tuning techniques like LoRA, and strong fundamentals in Data Structures & Algorithms (DSA). This role is ideal for someone eager to work on real-world AI applications, experiment with open-source models, and contribute to production-ready AI systems.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (6-8 LPA).

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Work on Large Language Models (LLMs) for real-world AI applications.
• Implement and experiment with LoRA (Low-Rank Adaptation) and other parameter-efficient fine-tuning techniques.
• Perform model fine-tuning, evaluation, and optimization.
• Engage in prompt engineering to improve model outputs and performance.
• Develop backend services using Python for AI-powered applications.
• Utilize GitHub for version control, including managing branches, pull requests, and code reviews.
• Work with AI platforms such as Hugging Face and OpenAI to deploy and test models.
• Collaborate with the team to build scalable and efficient AI solutions.

Must-Have Skills

• Strong proficiency in Python.
• Hands-on experience with LLMs (open-source or API-based).
• Practical knowledge of LoRA or other parameter-efficient fine-tuning techniques.
• Solid understanding of Data Structures & Algorithms (DSA).
• Experience with GitHub and version control workflows.
• Familiarity with Hugging Face Transformers and/or OpenAI APIs.
• Basic understanding of Deep Learning and NLP concepts.

Job Title: Customer Support Executive – Travel/Airline Process (Blended)

We are hiring dynamic and customer-focused professionals for a leading global brand in the Travel and Airline industry. This is an excellent opportunity for candidates with relevant industry experience who are looking to grow their career in a structured and professional environment.

Process Overview:

• Industry Preference: Airline / Travel Industry Background.
• Experience Required: Minimum 6 months in Travel Industry (Mandatory).
• Process Type: Blended (Chat & Voice Support).
• Working Days: 5 Days a Week.
• Transportation: Both-side Cab Facility.
• Communication Level: Excellent English Communication (C1 Level Required).
• Qualification: Graduate / Undergraduate.
• Typing Speed: Minimum 35 WPM with 90% Accuracy.
• Salary: Up to ₹32,000 CTC

Roles & Responsibilities:

• Handle customer queries related to flight bookings, cancellations, rescheduling, refunds, baggage policies, and other travel-related concerns via chat and voice.
• Provide accurate information regarding airline policies, fares, routes, and travel guidelines.
• Resolve customer concerns efficiently while ensuring high customer satisfaction.
• Maintain proper documentation of customer interactions in the system.
• Meet defined KPIs such as quality scores, response time, and customer satisfaction ratings.
• Coordinate with internal teams for escalations and issue resolution.
• Ensure adherence to company policies, compliance standards, and service guidelines.

This role is ideal for professionals who are detail-oriented, customer-centric, and passionate about delivering exceptional service in the travel and aviation sector.

AuxoAI is seeking a skilled and experienced Senior AI Engineers to join our dynamic team. The ideal candidate will have 5+ years of prior experience in software engineering. This role involves collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products. This role is responsible for implementing our strategic direction on AI, intelligent automation, and data-powered operations. This role will also guide the implementation of AI solutions across various projects, with an eye on AI governance.

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

Responsibilities:

· AI/ML Solution Development: Design, develop, and deploy AI/ML technology stacks from concept to production and deployment

· Technical Leadership: Provide technical leadership and mentorship to junior engineers, guiding them in best practices and advanced techniques.

· Develop and optimize Generative AI workflows, including prompt engineering, fine-tuning, RAG and LLM-based applications.

· Work with Large Language Models (LLMs) such as Claude, Llama, Mistral, and GPT, ensuring efficient adaptation for various use cases.

· Design and implement AI-driven automation using agentic AI systems and orchestration frameworks like Autogen, LangGraph, and CrewAI.

· Leverage cloud AI infrastructure (AWS, Azure, GCP) for scalable deployment and performance tuning.

· Collaborate with cross-functional teams to deliver AI-driven solutions.

· Front ending customer discussions, customer engagement and success stories

· Collaborate with stakeholders to gather requirements and translate them into technical specifications

Requirements

Bachelor’s in computer science, Engineering, or a related field

· Overall 5+ year’s experience in software engineering and 2+ years of experience in AI/ML, with expertise in Generative AI and LLMs. 

· Experience with AWS Bedrock or Azure OpenAI studio or similar enterprise AI environments

· Strong proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow

· Experience with containerization (e.g., Docker, Kubernetes), version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum)

· Knowledge of advanced prompt engineering techniques

· Experience in AI workflow automation and model orchestration

· Hands-on experience with API development using Flask or Django

Note: Given the urgency of the role, we are currently prioritizing candidates who can join immediately or within 2-3 weeks.

About the Role:

We are looking for a Customer Success associate with strong experience in client management, customer success, support or account management. One should have a strong understanding of investment management workflows and operations, client facing experience and ability to manage multiple projects and work collaboratively.

Responsibilities:

1. Answering day to day client queries and providing creative solutions
2. Working on large scale project that optimize our clients’ workflows
3. Training clients on the EDS platform
4. Helping to improve client documentation, writing help articles, or creating how to videos
5. Becoming an expert on the EDS platform

Desired Skills / Qualifications:

1. Candidate should possess a Bachelor or master’s degree in finance or Applied Statistics & Analytics.
2. Experience of working at financial services/technology company((ie FactSet, MSCI, Enfusion, S&P, etc).
3. Ability to manage multiple projects and work collaboratively.
4. Should have excellent writing and verbal communication skills.

Benefits and Perks:​

1. Atmosphere of growth and opportunity
2. Collaborative culture of smart, young and dedicated people
3. Super modern WeWork office with the cappuccino on tap, ping pong tables, and exciting atmosphere
4. Other perks and employee benefit

"JNJ TECHNOLOGIES & SERVICES LLP" located in Vijayawada is seeking for qualified Sales Associate to sell/ Enroll there products that customers have grown to rely on. The Sales Associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals.

Location: Work from home( Remote)

Qualifications: Any Graduate/Post Graduate 

Salary: As per Industry 

Working Days: 6 days a week (Sunday is off)Shifts: 10:00 AM - 7:00 PM

Mandatory Language: English

Equipment: Candidates must use their own laptop and Wi-Fi.

Lead Data Engineer

Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution.

Job responsibilities

·      You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems

·      You will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challenges

·      You will collaborate with Data Scientists in order to design scalable implementations of their models

·      You will pair to write clean and iterative code based on TDD

·      Leverage various continuous delivery practices to deploy, support and operate data pipelines

·      Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available

·      Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions

·      Create data models and speak to the tradeoffs of different modeling approaches

·      On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product

·      Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process

·      Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes

Job qualifications Technical skills

·      You are equally happy coding and leading a team to implement a solution

·      You have a track record of innovation and expertise in Data Engineering

·      You're passionate about craftsmanship and have applied your expertise across a range of industries and organizations

·      You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop

·      You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting

·      Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions

·      You are comfortable taking data-driven approaches and applying data security strategy to solve business problems

·      You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments

·      Working with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems

Professional skills

·      Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineers

·      You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives

·      An interest in coaching others, sharing your experience and knowledge with teammates

·      You enjoy influencing others and always advocate for technical excellence while being open to change when needed