To appoint Block Sales Manager in their respective Districts.
To manage sales operations in assigned district to achieve revenue goals.
To supervise sales team members on daily basis and provide guidance whenever needed.
To identify skill gaps and conduct trainings to sales team.
To work with team to implement new sales techniques to obtain profits.
To assist in employee recruitment, promotion, retention and termination activities.
To conduct employee performance evaluation and provide feedback for improvements.
To contact potential customers and identify new business opportunities.
To stay abreast with customer needs, market trends and competitors.
To maintain clear and complete sales reports for management review.
To build strong relationships with customers for business growth.
To analyze sales performances and recommend improvements.
To ensure that sales team follows company policies and procedures at all times.
To develop promotional programs to increase sales and revenue.
To plan and coordinate sales activities for assigned projects.
To provide outstanding services and ensure customer satisfaction.

To appoint Block Sales Manager in their respective Districts.
To manage sales operations in assigned district to achieve revenue goals.
To supervise sales team members on daily basis and provide guidance whenever needed.
To identify skill gaps and conduct trainings to sales team.
To work with team to implement new sales techniques to obtain profits.
To assist in employee recruitment, promotion, retention and termination activities.
To conduct employee performance evaluation and provide feedback for improvements.
To contact potential customers and identify new business opportunities.
To stay abreast with customer needs, market trends and competitors.
To maintain clear and complete sales reports for management review.
To build strong relationships with customers for business growth.
To analyze sales performances and recommend improvements.
To ensure that sales team follows company policies and procedures at all times.
To develop promotional programs to increase sales and revenue.
To plan and coordinate sales activities for assigned projects.
To provide outstanding services and ensure customer satisfaction.

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About Casey Foods

Founded :

2014

Type :

Product

Size :

100-500

Stage :

Profitable

About

We are eastern Odisha based FMCG company under the aegis of Casey Foods having our production/manufacturing unit at Phulbani, Kandhamal District. We deal with day to day FMCG products involving common customer interest. Our common products include most of the Indian species and common edibles. Produced under controlled hygienic conditions following strict processing parameters, Casey believes quality to be in its core. Our round the clock quality testers monitor the batch by batch production thus ensuring quality to be above all in front of our esteemed customers. State of the art machineries work round the clock ensuring flawless production satisfying every customer demands. Being certified with HCCAP and FSSAI, the products of Casey had gained excellence at par. This is due to our dedicate efforts towards customer satisfaction Casey believe in “make with trust”.

Connect with the team

Madhu smita

Prangya Swain

HR Coordinator

Swati Ray

Hrnisi Mishra

Subhashree Dash

SUBHASHISH TRIPATHI

Company social profiles

N/A

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at Versatile Commerce LLP

2 candid answers

Posted by Burugupally Shailaja

Hyderabad

3 - 5 yrs

₹3L - ₹6L / yr

Open-source LLMs

Retrieval Augmented Generation (RAG)

MLOps

Windows Azure

Python

Role: AI/ ML Engineering

Experience: 3 to 5 yrs

Work location: Hyderabad

Interview mode: Virtual

Notice period: Immediate Joiner

Key Responsibilities:

· Design and implement RAG pipelines and AI agentic systems using cutting-edge LLM frameworks.

· Fine-tune open-source LLMs and develop narrow, domain-specific models.

· Build and maintain ML pipelines using MLFlow and ensure reproducibility, auditability, and version control.

· Collaborate with cross-functional teams to deploy ML systems into scalable, secure, and production-ready environments.

· Containerize and serve models using Docker, Kubernetes, and FastAPI.

· Automate CI/CD workflows using Azure DevOps, with integrated monitoring and alerts.

· Integrate authentication and authorization flows using Azure AD and Microsoft Graph API.

· Optimize deployed models for latency, cost-efficiency, and operational maintainability.

Required Skills & Experience:

· Strong foundation in Computer Science, software architecture, and distributed systems.

· Proficiency in Python, including both object-oriented and functional programming paradigms.

· Hands-on experience with open-source LLMs, embedding models, and vector databases.

· Practical implementation of RAG pipelines and LLM agentic systems.

· Strong working knowledge of MLOps tooling (e.g., MLFlow), model versioning, and reproducible experiments.

· Experience deploying ML systems using Docker, Kubernetes, and FastAPI or equivalent frameworks.

· Proven experience working in Azure cloud ecosystem:

· Azure DevOps for build/release automation.

· Azure GraphAPI for accessing organizational data.

· Secure identity flows using Azure AD.