22,681 Data Science Applications jobs in India

Position: AIML_Python Enginner

Kothapet_Hyderabad _Hybrid.( 4 days a week onsite)

Contract to hire fulltime to client.

We’re mainly looking for someone who can go 4 days a week onsite in Hyderabad.

Role Description:

5+ years of python experience for scripting ML workflows to deploy ML Pipelines as real time, batch, event triggered, edge deployment

4+ years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models using Sagemaker piplines, Sagemaker mlflow, Sagemaker Feature Store.etc.

3+ years of development of apis using FastAPI, Flask, Django

3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow.

Solid understanding of ML lifecycle: model development, training, validation, deployment and monitoring

Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus, AUTOSYS for scheduling

Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless

Good to have experience in H2O.ai

Good to have experience in containerization using Docker and Orchestration using Kubernetes.

Project overview

Are you a skilled Machine Learning engineer with a passion for Computer vision, NLP or Generative AI? Do you have a knack for understanding both the technical intricacies and the business implications of data-driven solutions? If so, we have an exciting opportunity for you to join our team as machine Learning Engineer

Requirements

• Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research.
• Proficiency in programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, OpenCV, spaCy, etc. and cloud AI services Aws/Azure/GCP
• Proven ability to bridge the gap between technical concepts and business impact, with a clear understanding of how data science aligns with business goals.
• Excellent communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Nice to have

• GCP Professional Machine Learning Engineer certification (not older than a year)
• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field

Responsibilities

• Drive/Participate the ideation, development, and execution of POCs and AI related project
• Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
• Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products.

We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team.

You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery.

What we're looking for:

• At least 3 years of experience in designing & building AI applications for customer and deploying them into production
• At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers.
• Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.
• Design, develop, and operationalize existing ML models by fine tuning, personalizing it.
• Evaluate machine learning models and perform necessary tuning.
• Develop prompts that instruct LLM to generate relevant and accurate responses.
• Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.
• Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.
• Hands on customer experience with RAG solution or fine tuning of LLM model.
• Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.
• Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.
• Proven experience building and deploying machine learning models in production environments for real life applications
• Good understanding of natural language processing, computer vision or other deep learning techniques.
• Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).
• Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.
• Excellent communication, collaboration, and problem-solving skills.

Good to Have

• Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
• Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.
• Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows
• Experience with AutoML and vision techniques.
• Master’s degree in statistics, machine learning or related fields.

What you will enjoy doing

• You will develop, train, test and deploy machine learning models in various fields such as

computer vision, LLMs, tabular and time series data.

• Experimenting with novel deep learning based technologies such as self-supervised learning

and generative AI will also be part of your tasks

• You will support in setting up the MLOps infrastructure for existing and new AI products

• Additionally you will work directly with customer data and set up data pipelines to collect,

curate, transform and version data

You'll be working in the Artificial Intelligence team, Linde's AI global corporate division engaged with

real business challenges and opportunities in multiple countries. Focus of this role is to support the

AI team with extending existing and building new AI products for a vast amount of uses cases across

Linde’s business and value chain. You'll collaborate across different business and corporate functions

in international team composed of Project Managers, Data Scientists, Data and Software Engineers

in the AI team and others in the Linde's Global AI team.

As a Machine Learning Enginee, you will be working closely with our global AI team to create and

implement sustainable AI models, algorithms, and software solutions for our global industrial gases

and engineering services operations. You will participate in the collection, analysis, interpretation, and

output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer

vision.

What Makes You Great

• You have a Bachelor or Masters Degree in Data Science, Computational

Statistics/Mathematics, Computer Science or related field

• You know the basics of neural networks and have an initial practical experience with deep

learning frameworks like PyTorch and Tensorflow.

• You have experience in backend and API development with Python (FastAPI, Flask) or similar

• You demonstrate knowledge of and basic practical experience with Object Oriented

Programming, design patterns, algorithms and data structures, version control systems (e.g.

Git)

• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus

• Fluent English

Why You Will Love Working With Us

At Linde, you will have the opportunity to think outside the box, work on innovative topics, and deliver

impactful solutions to our internal customers. You’ll be part of a team that values inclusivity, fosters

creativity, and welcomes diverse perspectives, making Linde an employer of choice.

We act responsibly towards our shareholders, business partners, employees, society, and the

environment. Linde is committed to technologies and products that combine customer value with

sustainable development.

What We Offer You

In addition to an attractive compensation package, we offer flexible working hours and various

benefits to support your professional and personal development. Our culture values work-life

balance, helping you to combine career ambitions with family commitments.

Have We Inspired You?

We look forward to receiving your application.

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.

Key Responsibilities:

• Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
• Fine-tune pre-trained LLMs for specific tasks and domains.
• Conduct research on new techniques for improving the performance and capabilities of generative AI models.
• Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
• Evaluate and analyse the performance of ML/generative AI models.
• Stay up to date on the latest advancements in generative AI research.
• Facilitate the development and deployment of proof-of-concept Generative AI systems.

Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 3-5 years of experience in generative AI or related fields.
• Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
• Strong programming skills in Python.
• Familiarity with RAG and other techniques for building generative models.
• Extensive experience with Git, Docker and a good understanding of Linux for managing servers.
• Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
• Exposure to ML/GenAI frameworks and tools.
• Excellent communication and collaboration skills.
• Ability to work independently and in a team-oriented environment.
• Methodical and meticulous towards work and planning.

Key Responsibilities

● Design, develop, and deploy machine learning models for real-world business and

product applications

● Collaborate with data scientists, data engineers, and product teams to define ML

use cases and deliver actionable insights

● Clean, preprocess, and analyze structured and unstructured data using statistical

and ML techniques

● Monitor and evaluate model performance, improve accuracy, and retrain models as

needed

● Build and manage end-to-end ML pipelines, including feature engineering,

model training, deployment, and monitoring

● Work with Azure ML tools to build, register, and deploy models within a scalable

cloud environment

● Create and maintain APIs using tools like FastAPI or Flask to serve models in

production

● Stay updated with the latest developments in ML, data science, and cloud

technologies

Required Skills & Qualifications

● 2–3 years of experience in Machine Learning / Data Science roles

● Experience with Azure ML Studio, Azure Machine Learning SDK, or related Azure

data services

● Strong programming skills in Python, with proficiency in ML libraries like

scikit-learn, TensorFlow, or PyTorch

Company Description

Ai Health Highway is a global team of medical professionals, signal processing engineers, data scientists, and clinicians. The company is AI-first and focused on making screening of chronic diseases cost-effective at the primary care clinic. This approach aims to improve patient outcomes and accessibility to healthcare services.

We are backed by Turbostart, Rainmatter by Zerodha, The Chennai Angels, Social Alpha, Foundation for Science, Innovation & Development (FSID) IISC and many other prominent angel investors. AiSteth is one of the 27 most promising ML startups selected for AWS ML Elevate 2022 program by Amazon, Intel, Accel & YourStory. We are also the winners of the PHC Tech Challenge 2021 award organized by PATH.

Goal - Our Goal is to reduce 30% premature deaths due to #NCDs by 2030.

Role Description - ML Engineer (Bangalore / On-Site)

• Work closely with the Product leader to define product/platform vision
• Interface with Client ML and Business teams to demonstrate thought leadership, and drive delivery of products and solutions
• Conduct original research on large proprietary and open source data sets
• Identify, research, prototype and build predictive models
• Create framework for AI/ML code deployment to ensure robustness and reliability of production ready models
• Responsible for understanding industry processes and incorporating them in the solution
• Be responsible for measuring and optimizing the quality of your algorithms
• Collaborate with engineering teams, platform teams to drive vision for AI/ML platform

Qualifications

• Minimum 2-3 years of experience working in similar field/ domain.
• Advanced degree in Computer Science, Signal Processing, Data science, Biomedical Engineering, AI/ML 
• At least one core programming expertise, such as python (Tensorflow, Keras, Pytorch, Signal Processing packages etc.), R, Scala 
• Strong statistical knowledge, analytical and problem-solving skills, intuition and experience applying machine learning models to real world data
• Strong project management skills to execute multiple projects in parallel
• Experience in deploying production ready ML code.
• Experience with knowledge graphs, optimization, decision theory or signal processing
• Interpersonal skills: good verbal and written communication skills, cross-group and cross-culture collaboration.
• Understanding of Algorithms and Machine Learning principles
• Experience with healthcare data analysis is a plus

Machine Learning Engineer

World Salon is looking for a Machine Learning Engineer to build recommendation systems and automation models. The responsibility will be developing algorithms and data models to match speakers with suitable events and recommend events to users' interests. The candidate will contribute to data collection strategies, optimize existing datasets, and implement machine learning models using Python and vector databases.

Responsibilities:

• Build and maintain ML algorithms for speaker-event matching and personalized event recommendations.
• Develop and optimize data pipelines and vector database integrations.
• Manage data collection processes to enhance model accuracy.
• Analyze business requirements and translate them into scalable ML solutions.

Qualifications:

• Degree from a leading university in Data Science, Machine Learning, Computer Science, or a related field, or significant equivalent experience.
• Proficiency in Python and experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• Experience working with vector databases and implementing recommendation systems.
• Strong analytical capabilities combined with an understanding of business objectives.
• Ability to manage projects independently, from initial concept through implementation and evaluation.