7,981 Machine Learning jobs in India

Role - Lead/Developer

Required Technical Skill Set ** Python, ML

Desired Experience Range ** 6-12 Yrs

Location o f Requirement Hyderabad/Kolkata

Desired Competencies (Technical/Behavioral Competency)

Must-Have**(Ideally should not be more than 3-5)

1.In depth knowledge on PySpark such as reading data from external sources, merging data, performing data enrichment and loading into target data destinations

2. In depth knowledge of developing, training & deploying ML Models

3. Knowledge on Machine learning concepts & ML algorithms

Good-to-Have

1. Exposure to job scheduling & monitoring environments(E.gControl-M)

2. Any ETL tool exposure

3. Cloud migration experience

Role: ML Ops Engineer/ Architect

Location: Hyderabad (Remote)

Industry: Healthcare/ Payer (must)

Qualifications

• Cross-Functional Collaboration and Stakeholder Management: Partner with data science, product management, engineering, and business teams to understand their requirements and ensure the MLOps platform effectively supports their needs
• Cross-Disciplinary Knowledge: Apply knowledge from related disciplines, such as data science and health/biology sciences, to design holistic MLOps solutions that meet the unique needs of the organization
• 8+ years of experience in ML Ops, Data Engineering, or related role required
• Service and Quality Excellence: Ability to demonstrate an uncompromising commitment to delivering exceptional care to create an unmatched value proposition for our patients
• Honor our Mission and Values: Ability to build trust and act with authenticity to cultivate a culture of integrity, inclusion, and mutual respect
• Attain and Leverage Strategic Relationships: Ability to develop and strengthen collaborative relationships with both internal and external stakeholders

Responsibilities

• This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless collaboration, and drive innovation
• As a key contributor to the organization’s AI/ML strategy, you will partner with cross-functional teams, including data engineers/scientists, product managers, and cloud engineers, to align platform development with business objectives
• Your work will directly support the deployment of Responsible AI solutions that prioritize transparency, fairness, and ethical practices
• Platform Development: Lead the enhancement of the ML Ops platform to improve the developer experience for data and ML engineers
• Optimize workflows by integrating state-of-the-art tools and technologies, ensuring scalability and efficiency
• Cloud Infrastructure Design and Management: Architect and manage the cloud infrastructure supporting the MLOps platform, leveraging infrastructure-as-code (IaC) tools like Terraform
• Optimize for scalability, security, cost-effectiveness, and high availability
• Effectively communicate technical concepts and strategies to both technical and non-technical audiences
• AI/ML Reliability and Observability: Collaborate with the AI/ML reliability engineering team to design and implement components that ensure the platform’s operational reliability, observability, and fault tolerance
• DevOps for Machine Learning Workloads: Build and maintain robust DevOps pipelines tailored for ML workflows, enabling automated model training, testing, deployment, and monitoring
• Tool Development and System Reliability: Design and manage tools to enhance platform reliability, including dashboards, logging systems, and alerting frameworks, to ensure seamless operations
• Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”

• Basic understanding of machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face.

• Knowledge of neural network architectures, particularly in areas like Transformers and basic deep learning models.

• Familiarity with Python programming and essential ML libraries (NumPy, Pandas, Scikit-learn).

• Exposure to NLP (Natural Language Processing) concepts and basic text processing tasks.

• Some experience with cloud platforms (AWS, GCP, or Azure) for deploying simple AI models.

• Understanding of basic databases and their integration with AI systems (NoSQL or SQL databases).

Soft Skills:

• Strong eagerness to learn and adapt to new technologies in the AI and machine learning field.

• Ability to work under guidance and collaborate within a team environment.

• Good problem-solving abilities and analytical thinking.

• Effective communication skills to discuss technical issues and progress with the team.

Education and Experience:

• Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or related fields.

• 2-4 years of experience in machine learning, AI, or related areas (internships or academic projects are a plus).

Preferred Skills (Nice-to-Have):

• Exposure to basic machine learning deployment tools or practices.

• Familiarity with any vector databases (ChromaDB, Pinecone, Weaviate, Milvus, FAISS) or graph databases (Neo4j, TigerGraph).

• Interest in generative AI or graph-based AI solutions.

• Involvement in open-source projects or personal contributions to machine learning communities.

• Understanding of ethical AI principles or data privacy basics.

Role Summary: As a Junior Machine Learning Developer, you will be part of a dynamic team working on cutting-edge AI and machine learning solutions. This role offers an exciting opportunity for a motivated individual to learn and grow their skills in a fast-paced, collaborative environment. You will assist senior developers in developing, testing, and deploying AI models, while gaining hands-on experience with machine learning frameworks and real-world AI applications.

Calling all aspiring talents!

At DataFoundry AI, we are thrilled to offer a one-of-a-kind Internship program for individuals looking to immerse themselves in the realm of AI-enabled products in life sciences. Our internship program provides a chance for aspiring talents to acquire invaluable insights and practical skills in product development while working alongside a team of seasoned professionals.

We believe in nurturing talent and providing a platform for growth.

As a Intern, you will have the opportunity to contribute to our AI-enabled

life sciences products and make a meaningful impact through your work-

Whether you're a student eager to complement your studies with

practical experience or a recent graduate ready to kick-start your career, our

Internship program is designed to help you thrive and succeed.

Internship Details:

Eligibility: B.Tech/M.Tech/CSE/ECE/BE- IT/M.Sc-IT/MCA/ Candidates in final year also applicable.

Duration: 3 months

No of position – 01

You would be working with the following technology stack. Candidates with knowledge of one or more of the following would be given preference.

· Knowledge of ML libraries and toolkits using Python

· Knowledge of NLP, NLU, and Generative AI models including open-source implementations their shortcomings.

· Knowledge of developing ML/DL models in one or more of the following: NER, relationship extraction, neural network-based language models, Q&A, and Generative AI

· Knowledge of Semantic analysis and search models

· Knowledge of Clinical ontologies and semantic search model

· Knowledge of supervised, unsupervised, and deep learning models for NER, Q&A, and Generative AI

· Possible conversion based on performance after 3 months.

Don't miss out on this incredible opportunity to jumpstart your career journey with datafoundry.ai

Join us in shaping the future of #AI #Coding #ProductDevelopment #LifeScience and unleash your potential!

MACHINE-LEARNING ENGINEER

ABOUT US

Datacultr is a global Digital Operating System for Risk Management and Debt Recovery, we drive Collection Efficiencies, Reduce Delinquencies and Non-Performing Loans (NPL’s). Datacultr is a Digital-Only provider of Consumer Engagement, Recovery and Collection Solutions, helping Consumer Lending, Retail, Telecom and Fintech Organizations to expand and grow their business in the under-penetrated New to Credit and Thin File Segments.

We are helping millions of new to credit consumers, across emerging markets, access formal credit and begin theirjourney towards financialhealth. We have clients acrossIndia, South Asia, South East Asia, Africa and LATAM.

Datacultr is headquartered in Dubai, with offices in Abu Dhabi, Singapore, Ho Chi Minh City, Nairobi, and Mexico City; and our Development Center is located out of Gurugram, India.

ORGANIZATION’S GROWTH PLAN

Datacultr’s vision is to enable convenient financing opportunities for consumers, entrepreneurs and small merchants, helping them combat the Socio-economic problems this segment faces due to restricted access to financing.

We are on a missionto enable 35 million unbanked& under-served people,access financial services by the end of 2026.

Position Overview

We’re looking for an experienced Machine Learning Engineer to design, deploy, and scale production-grade ML systems. You’ll work on high-impact projects involving deep learning, NLP, and real-time data processing—owning everything from model development to deployment and monitoring while collaborating with cross-functional teams to deliver impactful, production-ready solutions.

Core Responsibilities

• Representation & Embedding Layer
• Evaluate, fine-tune, and deploy multilingual embedding models (e.g., OpenAI text-embedding-3, Sentence-T5, Cohere, or in-house MiniLM) on AWS GPU or serverless endpoints.
• Implement device-level aggregation to produce stable vectors for downstream clustering.
• Cohort Discovery Services
• Build scalable clustering workflows in Spark/Flink or Python on Airflow.
• Serve cluster IDs & metadata via feature store / real-time API for consumption.
• MLOps & Observability
• Own CI/CD for model training & deployment.
• Instrument latency, drift, bias, and cost dashboards; automate rollback policies.
• Experimentation & Optimisation
• Run A/B and multivariate tests comparing embedding cohorts against legacy segmentation; analyse lift in repayment or engagement.
• Iterate on quantisation, distillation, and batching to hit strict cost-latency SLAs.
• Collaboration & Knowledge-sharing
• Work hand-in-hand with Product & Data Strategy to translate cohort insights into actionable product features.

Key Requirements

• 5–8 years of hands-on ML engineering / NLP experience; at least 2 years deploying transformer-based models in production.
• Demonstrated ownership of pipelines processing ≥100 million events per month.
• Deep proficiency in Python, PyTorch/TensorFlow, Hugging Face ecosystem, and SQL on cloud warehouses.
• Familiar with vector databases and RAG architectures.
• Working knowledge of credit-risk or high-volume messaging platforms is a plus.
• Degree in CS, EE, Statistics, or related;

Tech Stack You’ll Drive

• Model & Serving – PyTorch, Hugging Face, Triton, BentoML
• Data & Orchestration – Airflow, Spark/Flink, Kafka
• Vector & Storage – Qdrant/Weaviate, S3/GCS, Parquet/Iceberg
• Cloud & Infra – AWS (EKS, SageMaker)
• Monitoring – Prometheus, Loki, Grafana

What We Offer

• Opportunity to shape the future of unsecured lending in emerging markets
• Competitive compensation package
• Professional development and growth opportunities
• Collaborative, innovation-focused work environment
• Comprehensive health and wellness benefits

Location & Work Model

• Immediate joining possible
• Work From Office only
• Based in Gurugram, Sector 65

Kindly share your updated profile with us at to guide you further with this opportunity.

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Future Tejouler!

TL;DR:

Have grit & passion for coding? Skip scrolling and connect with us!

Do you experience Flow

Job Title: Machine Learning Engineer

Location: A-61, B-4 Spring Meadow Business Park, Noida Sector-63

Job Type: Full-time

About the Role:

We are seeking a talented and motivated Machine Learning Engineer to design, develop, and deploy machine learning models that power intelligent applications. You will work at the intersection of software engineering and data science, turning prototypes into production-ready solutions that scale.

Responsibilities:

• Design, build, and deploy machine learning models into production environments.
• Collaborate with data scientists, engineers, and product managers to define and deliver ML-based solutions.
• Perform data preprocessing, feature engineering, and model training/tuning.
• Monitor model performance and retrain models as needed to maintain high accuracy.
• Develop APIs and integrate ML models with backend services.
• Research and implement state-of-the-art algorithms as needed.
• Optimize machine learning pipelines for speed, scalability, and reliability.
• Document processes and models for transparency and reproducibility.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
• Strong programming skills in Python (preferred) and familiarity with libraries like TensorFlow, PyTorch, Scikit-learn, etc.
• Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning).
• Experience with data manipulation libraries like Pandas and NumPy.
• Knowledge of cloud platforms (AWS, GCP, Azure) and ML deployment frameworks is a plus.
• Strong problem-solving and analytical skills.
• Familiarity with MLOps, model versioning, and CI/CD pipelines is a plus.

Preferred Qualifications:

• Experience with deep learning, computer vision, or NLP projects.
• Familiarity with big data tools like Spark, Hadoop, or similar.
• Published work, research papers, or participation in ML competitions (e.g., Kaggle) is an advantage.
• Knowledge of containerization technologies (Docker, Kubernetes)

Note: Looking for Immediate Joiner.

Job Title: Machine Learning Engineer (AI ML)

Job Summary:

Primary Skills

• Master degree from Computer science, Mathematics, Statistics and other relative disciplines

• Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets.

• Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,…

• Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, …

• Excellent written and verbal communication skills for coordinating across teams.

• Experience in code management using Git Secondary Skills

• Experience in Ecommerce or Advertising verticals is a plus

• Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, …

• Experience on parallel computing and GPU acceleration is a plus

• Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must

Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.

 Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Transforming data science prototypes and applying appropriate algorithms and tools.

evelop custom ML and non-ML models and algorithms to apply to data sets.

efine the evaluation approach of models

se predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

oordinate with different functional teams to implement models and monitor outcomes.

eeping abreast of developments in corresponding domains

Note: Looking for Immediate Joiner only.