Role & Responsibilities

Duties And Responsibilities

Design, develop, and maintain robust data pipelines and workflows for AI/ML tasks.

Perform root cause analysis (RCA) on model performance, data issues, and system

failures; proactively identify and resolve bottlenecks.

Write clean, efficient, and scalable Python code for AI/ML applications.
Build, document, and maintain backend APIs using FastAPI to support real-time and

batch inference services.

Apply machine learning and deep learning techniques for text classification, image

classification, and other predictive tasks.

Develop and integrate NLP models for tasks such as sentiment analysis,

summarization, entity recognition, and more.

Use YOLO, OpenCV, and OCR libraries (e.g., Tesseract, EasyOCR) for computer vision

applications.

Leverage Generative AI models (e.g., OpenAI GPT, Google Gemini) to create

intelligent interfaces and solutions.

Manipulate and visualize data using NumPy, Pandas, Matplotlib, and Seaborn.
Work with NoSQL databases (e.g., MongoDB, Redis) for scalable data storage and

retrieval.

Operate and deploy solutions effectively in Linux-based environments.
Participate in code reviews, debugging, and performance optimization.
Follow through on assigned action items, timelines, and deliverables in an Agile

delivery model.

Ideal Candidate

Strong AI Engineer / Data Scientist / Generative AI profile.
Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Machine Learning, Deep Learning, NLP, and AI-driven applications.
Mandatory (Experience 2) - Must have strong hands-on experience in Python programming and backend development in Linux environments.
Mandatory (Experience 3) - Must have proven experience in Machine Learning, Deep Learning, NLP, text classification, image classification, and predictive modeling projects.
Mandatory (Experience 4) - Must have hands-on experience with Computer Vision technologies such as YOLO, OpenCV, OCR, Tesseract, and EasyOCR
Mandatory (Experience 5) - Must have strong experience in building and maintaining scalable APIs and inference services using FastAPI.
Mandatory (Experience 6) - Must have hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
Mandatory (Experience 7) - Must have experience working with ETL pipelines, data processing, NumPy, Pandas, and data handling workflows.
Mandatory (Experience 8) - Must have experience working with NoSQL databases such as MongoDB or Redis.
Mandatory (Skill 1) - Must have hands-on exposure to Generative AI tools/models such as OpenAI GPT, Gemini, Claude, or LLaMA
Mandatory (Skill 2) - Must have strong analytical thinking, debugging skills, RCA experience, and ability to independently resolve complex technical issues
Mandatory (CTC) - The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
Mandatory ( Age ) Candidate Should be Below 28 Years.
Preferred (Experience 1) - Experience with MLOps practices, model monitoring, and production deployment of AI/ML systems.
Preferred (Experience 2) - Familiarity with Docker, Kubernetes, cloud platforms, and scalable deployment architecture.
Preferred (Experience 3) - Experience working in Agile squads, POD delivery models, and fast-paced engineering environments.
Preferred (Company) - Candidates from AI-first startups, product companies, SaaS organizations, fintech, or data-driven technology companies.

Skills: learning,machine learning,ml,deep learning,data,nlp

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