11+ Distribution management Jobs in Pune | Distribution management Job openings in Pune

Roles & Responsibilities

• Acquire targeted business clients by actively optimizing pipelines and sourcing new leads by a daily cold call on the field until they are engaged.
• Maintain relationships with prospective, new & existing clients to add on new services and increase the business revenue.
• Achieve forecasted sales goals. 
• Manage the sales funnel and source leads and take daily follow-up with them for acquisition
• Plan and execute sales activities that will ensure sales growth objectives.
• Be able to properly demonstrate product presentation and benefits of Company instrumentation to customers.
• Set demo session with the potential customer to convert 
• Meet customer requirements (responsive, schedule conscious, etc) and maintain a relationship
• Provide forecasts, reports, marketing intelligence, and competitor information to build strategies & increase business revenues.
• Attend and represent the Company at local and national exhibitions and meetings.
• On-board customers and keep the communication alive to build high CSAT scores.
• Handle after-sales services & queries of the client.

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

Requirements

• Extensive and expert programming experience in at least one general programming language (e. g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.

• Experience with multi-threading and concurrency programming.

• Extensive experience in object oriented design skills, knowledge of design patterns, and a huge passion and ability to design intuitive modules and class-level interfaces.

• Excellent coding skills - should be able to convert design into code fluently.

• Knowledge of Test Driven Development.

• Good understanding of databases (e. g. MySQL) and NoSQL (e. g. HBase, Elasticsearch, Aerospike etc).

• 4+ years of experience in the art of writing code and solving problems on a large scale.

• Open communicator who shares thoughts and opinions frequently, listens intently, and takes constructive feedback.

• Sound knowledge in Agile Methodology ( Lean,Agile,Scrum,SAFe) Proven servant leadership
• Conflict resolution capability
• Building high performance Teams
• Identify impediments and eliminate in a timely fashion.
• Experienced working with Mobile App/Web/ Backend development teams.
• Deliver projects in challenging circumstances

Looking Data Enginner for our OWn organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.

We are looking for a Node.js Developer who has experience building back-end services and managing data exchange between the server and user-facing applications. Responsibilities will include the development of back-end micro-services, maintaining the best possible performance for micro-service, quality and responsiveness of the application. You will work closely with the front-end developers in order to implement their components into the application.

• Writing reusable, testable, and efficient code
• Responsible for entire product lifecycle from concept to deployment
• Design and implementation of low-latency, high-availability, and performant applications
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection
• Integration of data storage solutions

• 3+ years experience in building micro-services using Node.js
• Expert in SQL querying with Mysql/PostgreSQL and ORM (Object Relational Mapper) libraries like TypeORM.
• Able to integrate multiple data sources and databases into one system
• Good understanding of server-side templating languages
• Understanding of accessibility and security compliance
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of fundamental design principles behind a scalable application
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
• Able to create database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools such as Git