Sr. Data Scientist (AI/ML, Deep learning)

AI Industry

Sr. Data Scientist (AI/ML, Deep learning)

Peak Hire Solutions

Company

Home

Sr. Data Scientist (AI/ML, Deep learning)

at AI Industry

Agency job

via Peak Hire Solutions

5 - 12 yrs

₹20L - ₹46L / yr

Mumbai, Bengaluru (Bangalore), Hyderabad, Gurugram

Skills

Data Science

Artificial Intelligence (AI)

Machine Learning (ML)

Generative AI

Deep Learning

Python

PyTorch

TensorFlow

JAX

Large Language Models (LLM)

Retrieval Augmented Generation (RAG)

MLOps

Docker

Kubernetes

Spark

CI/CD

RLHF (Reinforcement Learning from Human Feedback)

Large Language Models (LLM) tuning

Vector database

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

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

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

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

Similar jobs

Full Stack Developer

at IAI solution

Posted by Anajli Kanojiya

Bengaluru (Bangalore)

2 - 3 yrs

₹7L - ₹8L / yr

Python

React.js

NextJs (Next.js)

Job Title: Full-Stack developer

Experience: 5 to 8+ Years

ASAP Start Immediately

Key Responsibilities

Develop and maintain end-to-end web applications, including frontend interfaces and backend services.

Build responsive and scalable UIs using React.js and Next.js.

Design and implement robust backend APIs using Python, FastAPI, Django, or Node.js.

Work with cloud platforms such as Azure (preferred) or AWS for application deployment and scaling.

Manage DevOps tasks, including containerization with Docker, orchestration with Kubernetes, and infrastructure as code with Terraform.

Set up and maintain CI/CD pipelines using tools like GitHub Actions or Azure DevOps.

Design and optimize database schemas using PostgreSQL, MongoDB, and Redis.

Collaborate with cross-functional teams in an agile environment to deliver high-quality features on time.

Troubleshoot, debug, and improve application performance and security.

Take full ownership of assigned modules/features and contribute to technical planning and architecture discussions.

Must-Have Qualifications

Strong hands-on experience with Python and at least one backend framework such as FastAPI, Django, or Flask, Node.js .

Proficiency in frontend development using React.js and Next.js

Experience in building and consuming RESTful APIs

Solid understanding of database design and queries using PostgreSQL, MongoDB, and Redis

Practical experience with cloud platforms, preferably Azure, or AWS

Familiarity with containerization and orchestration tools like Docker and Kubernetes

Working knowledge of Infrastructure as Code (IaC) using Terraform

Experience with CI/CD pipelines using GitHub Actions or Azure DevOps

Ability to work in an agile development environment with cross-functional teams

Strong problem-solving, debugging, and communication skills

Start-up experience preferred – ability to manage ambiguity, rapid iterations, and hands-on leadership.

Technical Stack

Frontend: React.js, Next.js

Backend: Python, FastAPI, Django, Spring Boot, Node.js

DevOps & Cloud: Azure (preferred), AWS, Docker, Kubernetes, Terraform

CI/CD: GitHub Actions, Azure DevOps

Databases: PostgreSQL, MongoDB, Redis