Home Based Data scientist Jobs – 108 Open Jobs Today

Data Science - AI ML Consultant - GenAI
optimhire —Remote
- ₹5,98,668.36 - ₹24,00,000.00 a year
- Full-time
- Remote
- Azure
- B.Sc
- System design
Quick apply
6h
AI/ML Engineer
ShiiftoTech —Remote
- ₹10,00,000.00 - ₹16,69,896.37 a year
- Full-time
- Remote
- Machine learning
- AI
- Python
- Flexible schedule
Quick apply
AI Developer
SNS System —Remote
- Full-time
- Remote
- Azure
- AWS
- Machine learning
Data Science & Engineering Lead
Particle41 —Remote
- Remote
- Azure
- Doctoral degree
- Master's degree
Quick apply
AI Computer Engineer / AI Automation Specialist
Four Square Steel Construction Contracting LLC —Remote
- Email
- Remote
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
Machine Learning Engineer III
Avalara —Remote
- Remote
- Azure
- Computer Science
- Master's degree
- Health insurance
- Paid time off
Senior Product Manager, AI
Trellix —Remote
- Remote
- Master's degree
- Product management
- APIs
- Health insurance
- Paid time off
14d
Head of Machine Learning
BRAHMA —Remote
- Remote
- Doctoral degree
- Computer Science
- Research
AI Engineer
Edureify Technology —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Senior AI Data Engineer
Luxoft —Remote
- Remote
- Oracle
- English
- Master's degree
Senior Ai/Ml Engineer
Hiring Mavericks —Remote
- ₹17,00,000 - ₹25,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- SQL
Quick apply
Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
Quick apply
AI, Lead Consultant - US
Robosoft —Remote
- Remote
- Azure
- Computer Science
- Master's degree
Technical Product Manager – AI/ML & Data Products (7+ yrs)
Outsource Bigdata —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Senior Manager, Machine Learning
Twilio —Remote
- Remote
- Azure
- Doctoral degree
- Computer Science
- Paid time off
Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
- Azure
- Master's degree
- SQL
Sr Developer, HR AI Technology
Labcorp —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Data Scientist
ikshavku solutions —Remote
- ₹30,000 - ₹60,000 a month
- Full-time
- Remote
- SQL
- Python
Quick apply
14h
AI & ML Intern
AIDEN —Remote
- Up to ₹1 a month
- Remote
- Computer Science
- English
- Machine learning
- Work from home
- Flexible schedule
Quick apply
10h

Discover related jobs

Based on your search for data scientist jobs.

Internship Program
Students Paradise —Remote
We are looking for passionate students and freshers who want to gain practical industry experience. Learn industry-standard tools and technologies.
₹8,000 - ₹10,000 a month
Quick apply
4d
Software Intern
Expedite Informatics —Remote
We’re looking for passionate Software Interns eager to learn and gain hands-on experience by working on live projects with our engineering team.
₹5,000 - ₹8,000 a month
Quick apply
14d

I want to receive the latest job alerts for data scientist in home based

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Data Science - AI ML Consultant - GenAI

optimhire
Remote

Quick apply

Job details

Permanent | Full-time
₹5,98,668.36 - ₹24,00,000.00 a year
6 hours ago

Qualifications

TensorFlow
Statistics
Azure
Law
Enterprise Software
B.Sc
R
System design
Apache Hive
Master's degree
SQL
AWS
Science
Bachelor's degree
Machine learning
Scala
Deep learning
APIs
Agile
Predictive analytics
B.E.
Data science
AI
Python
Hadoop

Full job description

Job Description

--------------------------------------------------------

JD Data Science / AI / ML Consultant – GenAI

Major Duties & Responsibilities

Work with business stakeholders and cross-functional SMEs to deeply understand business context, key business questions, and opportunities where GenAI and agent-based systems can augment decision-making and automation.

Create Proof of Concepts (POCs) / Minimum Viable Products (MVPs) including GenAI-powered solutions (e.g., LLM-based assistants, copilots, RAG systems), then guide them through to production deployment and operationalization.

Make solution recommendations that appropriately balance speed to market, analytical soundness, model autonomy, and human-in-the-loop controls.

Explore design options to assess efficiency and impact, including agent orchestration strategies, prompt strategies, tool-use patterns, and memory mechanisms to improve robustness and rigor.

Develop analytical / modeling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow, LLMs, prompt frameworks, vector databases).

Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations, optimization, and agentic workflows that plan, reason, and act autonomously within defined guardrails.

Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, stories, and AI system behavior explanations for business users.

Create algorithms and GenAI pipelines to extract, summarize, reason over, and generate insights from large, multi-parametric and unstructured data sets (text, documents, images).

Deploy ML and GenAI/Agentic AI systems to production to identify actionable insights from large databases, APIs, and enterprise systems.

Compare results from various methodologies including classical ML, deep learning, and GenAI approaches, and recommend optimal techniques based on accuracy, cost, latency, and risk.

Develop and embed automated processes for model and prompt evaluation, predictive model validation, deployment, monitoring, and drift detection (data, model, and prompt drift).

Work on multiple pillars of AI including data science, cognitive engineering, conversational AI, enterprise copilots, and multi-agent systems.

Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, reusability, reliability, and responsible AI compliance (bias, hallucination control, auditability).

Provide thought leadership and subject matter expertise in machine learning, GenAI, and Agentic AI, making impactful contributions to internal discussions on emerging practices, architectures, and governance.

Required Qualifications

Bachelor of Science or Bachelor of Engineering at a minimum.

5+ years of work experience as a Data Scientist / ML Engineer.

Strong combination of business focus, analytical thinking, and programming skills to rapidly cycle hypotheses, including GenAI experimentation and agent behavior tuning.

Advanced skills with statistical/programming software (e.g., Python, R) and data querying languages (e.g., SQL, Hadoop/Hive, Scala), plus experience integrating LLM APIs and AI services.

Strong hands-on skills in feature engineering, hyperparameter optimization, and prompt engineering / prompt evaluation techniques.

Experience producing high-quality, production-ready code, tests, and documentation, including AI system design artifacts.

Experience with Microsoft Azure or AWS data and AI platforms (e.g., Azure ML, Azure OpenAI, Databricks).

Strong understanding of descriptive and exploratory statistics, predictive modeling, ML algorithms, optimization, forecasting, deep learning, and GenAI system evaluation metrics.

Proficiency in statistical concepts, ML algorithms, and foundational GenAI concepts (transformers, embeddings, RAG, function/tool calling).

Good knowledge of Agile principles and iterative AI product delivery.

Ability to lead, manage, build, and deliver customer business results through data scientists or professional services teams, including GenAI solution delivery.

Ability to clearly communicate assumptions, AI limitations, risks, and results to both technical and non-technical stakeholders.

Self-motivated, proactive problem solver who can work independently and collaboratively in fast-evolving AI environments.

Pay: ₹598,668.36 - ₹2,400,000.00 per year

Application Question(s):

What is your Expected CTC in LPA? (24)
What is your notice period in days? (7)

Experience:

overall : 5 years (Required)
Python: 3 years (Required)
Machine Learning: 5 years (Required)
Data Science: 5 years (Required)
Generative AI: 3 years (Required)
SQL: 3 years (Required)
Azure ML: 3 years (Required)
Databricks: 3 years (Required)
ML algorithms/modeling: 3 years (Required)
Deep Learning: 2 years (Required)
Statistical and Machine Learning concepts: 3 years (Required)
Artificial Intelligence: 3 years (Required)

Work Location: Remote

Quick apply

Refine Your Search

data scientist jobs in home based

Data Science - AI ML Consultant - GenAI

AI/ML Engineer

AI Developer

Data Science & Engineering Lead

AI Computer Engineer / AI Automation Specialist

Machine Learning Engineer III

Senior Product Manager, AI

Head of Machine Learning

AI Engineer

Senior AI Data Engineer

Senior Ai/Ml Engineer

Manager / Area Manager Artificial Intelligence

AI, Lead Consultant - US

Technical Product Manager – AI/ML & Data Products (7+ yrs)

Senior Manager, Machine Learning

Manager / Area Manager Artificial Intelligence

Sr Developer, HR AI Technology

Data Scientist

AI & ML Intern

Discover related jobs

I want to receive the latest job alerts for data scientist in home based

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected