AI/ML Engineer

Job Title:

Location:

Experience:

Role Overview:

AI/ML Engineer

Key Responsibilities

1. AI/ML System Development

• Design, train, and deploy AI/ML models to identify patterns in sales behavior and trends.
• Develop intelligent recommendation engines to optimize sales strategies.
• Build real-time dashboards for sales performance monitoring and actionable insights.
• Integrate APIs for seamless interaction with internal and external systems.

2. Programming & Development

• Develop and deploy AI/ML models using

  Python

  .
• Work with

  PyTorch

  or

  TensorFlow

  for deep learning applications.
• Build and maintain backend services using

  FastAPI

  or

  Flask

  .
• Follow collaborative workflows using

  Git

  for version control and team development.

3. AI/ML Expertise

• Apply foundational knowledge of

  LLMs

  ,

  Transformers

  , and

  Retrieval-Augmented Generation (RAG)

  .
• Use

  NLP techniques

  to extract and understand customer insights.
• Manage the end-to-end ML lifecycle, including data preprocessing, model training, hyperparameter tuning, and production deployment.

4. Generative AI & Voice AI

• Experiment with

  Generative AI

  models (e.g., GPT, Claude) for tasks such as content creation, email generation, and chat-based assistance.
• Build and integrate

  AI Voice

  solutions like speech-to-text, call summarization, and conversational agents using tools such as

  Whisper

  ,

  ElevenLabs

  , or

  Dialogflow

  .
• Integrate GenAI and Voice AI capabilities into the Sales Supervisor Agent for automation and decision support.

5. Data Engineering & Analysis

• Write efficient

  SQL queries

  for data extraction and transformation.
• Use libraries like

  Pandas

  and

  NumPy

  for data preprocessing and analysis.
• Create meaningful visualizations to deliver actionable insights.

Preferred Skills

• Hands-on experience in applied ML or pattern recognition projects.
• Knowledge of

  time series analysis

  and forecasting techniques.
• Familiarity with

  vector databases

  such as Faiss or Pinecone.
• Experience with

  RESTful APIs

  and cloud platforms (AWS, Azure).
• Exposure to modern AI dev tools like

  Cursor AI

  ,

  Claude Code

  ,

  Copilot

  ,

  Gemini

  ,

  Grok.AI

  , or

  Codegiantio

  .

Qualifications

• B.Tech/B.E. in

  Computer Science

  ,

  Data Science

  , or related fields.
• Strong foundation in AI/ML, data structures, and algorithms.
• 1–3 years of relevant experience in AI/ML engineering or applied machine learning.

Key Personal Attributes

• Strong analytical and problem-solving mindset.
• Quick learner with a passion for emerging AI technologies.
• Effective communicator and collaborative team player.
• Proactive and self-driven approach to work.

About WINIT

Mobile Sales Force Automation (mSFA)