Remote Ai ml machine learning Jobs – 119 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
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21h
AI & ML Intern
AIDEN —Remote
- Up to ₹1 a month
- Remote
- Computer Science
- English
- Machine learning
- Work from home
- Flexible schedule
Quick apply
1d
AI/ML Engineer
Expertshub.ai —Remote
- ₹3,93,202.28 - ₹16,33,332.74 a year
- Remote
- Azure
- Computer Science
- B.Sc
- Paid holidays
- Health insurance
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Machine Learning Engineer IV
Avalara —Remote
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
- Health insurance
- Paid time off
1d
Machine Learning Engineer
Expertshub.ai —Remote
- Remote
- Azure
- Computer Science
- System design
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MLOps Engineer (GenAI Infrastructure)
Expert Edge Services LLP —Remote
- ₹50,000 - ₹70,000 a month
- Remote
- Master's degree
- Analysis skills
- Machine learning
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1d
AI Engineer – Python & Snowflake
Matrix Global —Remote
- Full-time
- Remote
- Azure
- Master's degree
- SQL
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20h
Senior AIML Engineer
sahaj software solutions private limited —Remote
- ₹1,00,000 - ₹2,00,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
1d
Senior AI Security Engineer [Employer of Record]
Credit Acceptance —Remote
- ₹37,99,593 - ₹55,72,735 a year
- Full-time
- Remote
- Azure
- Master's degree
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4d
Oracle Integration Cloud OIC -6 to 8 yrs -Remote -Contract
APPTESTIFY GLOBAL SERVICES PVT LTD —Remote
- ₹80,000 - ₹90,000 a month
- Remote
- Oracle
- Machine learning
- APIs
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6d
Hiring Alert | MLOps Engineer (JAX, PyTorch, Pallas/Triton)
Facultyzone Talent Acquisition —Remote
- ₹3,000 - ₹4,000 an hour
- Part-time
- Remote
- Research
- Machine learning
- AI
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13d
Technical Product Manager – AI/ML & Data Products (7+ yrs)
Outsource Bigdata —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Data Scientist / Advanced Data Analytics Specialist
Codvo.ai —Remote
- Remote
- Computer Science
- Master's degree
- Analysis skills
- Work from home
AI Developer
Expertshub.ai —Remote
- Remote
- Azure
- Computer Science
- Customer service
Quick apply
Azure AI Foundry Engineer
Data PlatformExperts —Remote
- ₹5,00,000 - ₹15,00,000 a year
- Full-time
- Remote
- Hospitality
- Azure
- Master's degree
- Work from home
Quick apply
AI Platform Engineer
AHEAD —Remote
- Remote
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
Product Manager
Mango Sciencies —Remote
- ₹7,72,482.77 - ₹22,86,621.13 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
Quick apply
Language AI Trainer - Japanese
OpSquad Technologies —Remote
- ₹3,00,000 - ₹6,00,000 a year
- Full-time
- Remote
- Machine learning
- AI
- Teaching experience
- Flexible schedule
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1d
[DT] : Software Developer (Python)
Vinove —Remote
- Remote
- Azure
- DevOps
- System design
Quick apply
(US) Fullstack Developer
Codvo.ai —Remote
- Remote
- Azure
- Computer Science
- Java

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Data Science - AI ML Consultant - GenAI

optimhire
Remote

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Job details

Permanent | Full-time
₹5,98,668.36 - ₹24,00,000.00 a year
21 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

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Refine Your Search

ai ml machine learning jobs in remote

Data Science - AI ML Consultant - GenAI

AI & ML Intern

AI/ML Engineer

Machine Learning Engineer IV

Machine Learning Engineer

MLOps Engineer (GenAI Infrastructure)

AI Engineer – Python & Snowflake

Senior AIML Engineer

Senior AI Security Engineer [Employer of Record]

Oracle Integration Cloud OIC -6 to 8 yrs -Remote -Contract

Hiring Alert | MLOps Engineer (JAX, PyTorch, Pallas/Triton)

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

Data Scientist / Advanced Data Analytics Specialist

AI Developer

Azure AI Foundry Engineer

AI Platform Engineer

Product Manager

Language AI Trainer - Japanese

[DT] : Software Developer (Python)

(US) Fullstack Developer

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