
Review Criteria
- Strong Senior Data Scientist (AI/ML/GenAI) Profile
- 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
- Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
- Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows
Preferred
- Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
- Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Job Specific Criteria
- CV Attachment is mandatory
- Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
- Are you okay with 3 Days WFO?
- Virtual Interview requires video to be on, are you okay with it?
Role & Responsibilities
Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
Responsibilities:
- Own the full ML lifecycle: model design, training, evaluation, deployment
- Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
- Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
- Build agentic workflows for reasoning, planning, and decision-making
- Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
- Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
- Collaborate with product and engineering teams to integrate AI models into business applications
- Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices
Ideal Candidate
- 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
- Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
- Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
- Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
- Strong software engineering background with experience in testing, version control, and APIs
- Proven ability to balance innovation with scalable deployment
- B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
- Bonus: Open-source contributions, GenAI research, or applied systems at scale

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Company Profile
Jamboree is the oldest institute in India and the best of its kind, which offers comprehensive classroom and online preparation programs for GMAT®, GRE®, SAT®, ACT®, TOEFL™, and IELTS™. Jamboree has 39 centers in 22 cities of 2 countries including India and Nepal. Each center follows a uniform curriculum and has outstanding faculty, all of whom are trained at our head office. Each center offers the same teaching standards and syllabus.
https://www.jamboreeindia.com/
Work schedule: 6 days working including weekends. 11 AM - 8 PM ( Weekdays ) 10 AM - 8 PM ( Weekends )
1 weekday off
Job Description
Counseling the students over the study abroad options & training products of Jamboree.
Being a part of the Inside sales team, the incumbent will be required to ensure maximum on-spot closures from the prospective leads.
Making outbound calls on all the prospective leads generated through various sources.
Meeting weekly/monthly/annual sales targets.
Regular follow-ups with students and parents.
Timely updation of MIS and other dashboards
Desired Candidate Profile
Should have experience working in Education sector in a sales oriented profile where s/he was responsible for admissions/enrollment targets.
Should be comfortable working in a target-oriented role.
Willing to learn, sales acumen, good with numbers.
Self-starter, self -motivated.
More about this Customer Care Executive job
Please go through the FAQs to get all answers related to the given Customer Care Executive job
• What is the eligibility criteria to apply for this Customer Care Executive job?
Ans: The candidate should be Graduate and above and above with 0 - 2 years of experience of experience
• How much salary can I expect for this job role?
Ans: You can expect a salary of ₹10000 - ₹22000 per month + Incentives that depends on your interview. It's a Full Time job in Lucknow.
• How many working days are there for this Customer Care Executive job?
Ans: This Customer Care Executive job will have 6 working days.
• Are there any charges applicable while applying or joining this Customer Care Executive job?
Ans: No, there is no fee applicable for applying this Customer Care Executive job and during the employment with the company, i.e., The Everything Store.
• Is it a work from home job?
Ans: No, it’s not a work from home job and can't be done online.
• How many openings are there for this Customer Care Executive role?
Ans: There is an immediate opening of 5 Customer Care Executive at The Everything Store
• Who can apply for this job?
Ans: Both Male and Female candidates can apply for this Customer Support / TeleCaller job.
• What are the timings of this Customer Care Executive job?
Ans: This Customer Care Executive job has Day Shift.
* Managing the clients
* Making cold calls
* Attending direct walk-ins
* converting cold calls & walk-in inquiries
* Achieving the given sales target
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Skills: React, Redux, Javascript, HTML, CSS
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