Explore exciting Data Scientist jobs in 481 Data Scientist jobs in Noida
Data Scientist
Posted 3 days ago
Job Viewed
Job Description
**Grade Level (for internal use):**
09
**The Team:**
As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.
**The Impact:**
+ The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years.
+ In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Collaborate with a highly skilled and technically strong team
+ Contribute to solving high complexity, high impact problems
**Key Responsibilities**
+ Design, Develop and Deploy ML powered products and pipelines
+ Play a central role in all stages of the data science project life cycle, including:
+ Identification of suitable data science project opportunities
+ Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
+ Evaluation/interpretation of results and presentation to business leaders
+ Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments
+ Training large models both for experimentation and production
+ Develop production ready pipelines for enterprise scale projects
+ Perform code reviews & optimization for your projects and team
+ Spearhead deployment and model scaling strategies
+ Stakeholder management and representing the team in front of our leadership
+ Leading and mentoring by example including project scrums
**What We're Looking For:**
+ 2+ years of professional experience in Data Science domain
+ Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
+ Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
+ Expertise in probabilistic machine learning model for classification, regression & clustering
+ Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets.
+ Exposure to Information Retrieval, Web scraping and Data Extraction at scale
+ OOP Design patterns, Test-Driven Development and Enterprise System design
+ SQL (any variant, bonus if this is a big data variant)
+ Linux OS (e.g. bash toolset and other utilities)
+ Version control system experience with Git, GitHub, or Azure DevOps.
+ Problem-solving and debugging skills
+ Software craftsmanship, adherence to Agile principles and taking pride in writing good code
+ Techniques to communicate change to non-technical people
**Nice to have**
+ Prior work to show on Github, Kaggle, StackOverflow etc.
+ Cloud expertise (AWS and GCP preferably)
+ Expertise in deploying machine learning models in cloud environments
+ Familiarity in working with LLMs
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 315682
**Posted On:** 2025-08-14
**Location:** Gurgaon, Haryana, India
Data Scientist
Posted 3 days ago
Job Viewed
Job Description
We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.
**Responsibilities**
+ Lead the development and implementation of machine learning models to solve complex business problems
+ Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights
+ Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization
+ Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data
+ Utilize Airflow to manage and automate data workflows and pipelines
+ Implement knowledge graphs to improve data relationships and insights
+ Apply ML Ops practices to streamline the deployment and monitoring of machine learning models
+ Develop and optimize machine learning algorithms using Cloud AutoML and other tools
+ Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction
+ Utilize OpenCV for computer vision tasks and image processing
+ Apply artificial intelligence and natural language processing techniques to enhance data analysis
+ Implement deep learning models using PyTorch and Tensorflow for advanced data analysis
+ Use R Statistical Package and Python for data manipulation analysis and visualization
+ Optimize search engine performance through effective SEO strategies
+ Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives
+ Communicate findings and recommendations to stakeholders in a clear and concise manner
+ Stay updated with the latest advancements in data science and machine learning technologies
**Qualifications**
+ Must have strong experience in Statistics and Azure Open AI Service
+ Must be proficient in EDA Airflow and Knowledge Graph
+ Must have expertise in ML Ops Machine Learning and Cloud AutoML
+ Must be skilled in Dialogflow OpenCV and Artificial Intelligence
+ Must have experience in Natural Language Processing and Deep Learning
+ Must be proficient in PyTorch AI enabled chatbot and Tensorflow
+ Must have strong knowledge of R Statistical Package and Python
+ Must have experience in Search Engine Optimization
+ Nice to have experience in other data science and machine learning tools and technologies
+ Must have excellent communication and collaboration skills
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Scientist
Posted 2 days ago
Job Viewed
Job Description
JD- DATA SCIENTIST
Work experience - For Juniors- 0-2 years, For Associates- 2-4 years
Qualification - Master’s/Bachelor’s in Computer science/Data science/Mathematics/Statistics
or related disciplines.
Job Brief:
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem solving skills are essential for interpreting data. We also want
to see a passion for machine learning and research.
Must have Skills:
● Prior experience in working with Flask based APIs for backend development
● Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software
architecture
● Outstanding communication and organizational skills
● Strong project management skills
● High proficiency in using Python/Spark, Hadoop platforms,Tableau, SQL, NoSQL, SAS or R
● Experience in using services like Azure, Databricks, AWS, Snowflake
● Proficient with Numpy, Pandas, Matplotlib, Scipy, Web Scraping, Data Structures, Sklearn, NLP, Deep
Learning
● Strong mathematical and statistical skills
● Experience deploying scalable ML solutions on AWS or Azure.
● Knowledge of Pytorch/Tensorflow,Kubernetes, Docker.
● Experience with the LLM stack (Langchain, Langsmith, Uptrain, Llamaindex,
haystack) and vector databases (FAISS,Pinecone, opensearch)
● NLP and Image analysis solutions into production.
Good to have skills:
● Selecting features, building and optimizing classifiers using machine learning techniques
● Data mining using state-of-the-art methods
● Extending company’s data with third party sources of information when needed
● Enhancing data collection procedures to include information that is relevant for building analytic
systems
● Procession, cleansing, and verifying the integrity of data used for analysis
● Work on time bound projects
Data Scientist
Posted 3 days ago
Job Viewed
Job Description
Job Description – Data Scientist
- Design, build, and maintain robust and scalable applications using Python and advanced AI frameworks.
- Develop complex, multi-step workflows and autonomous systems using LLM Orchestrators like LangChain, LlamaIndex, or Semantic Kernel.
- Integrate AI models and agentic systems with our existing data pipelines, APIs, and infrastructure.
- Collaborate with product managers, data scientists, and software engineers to define requirements and deliver high-impact AI features.
- Establish AI Development Standards: Design and implement industry best practices for building, testing, and deploying scalable AI Agents (RAG, Prompting, Chat Completion, Multi-agent, Fine-Tuning), particularly focusing on generative models and large language models (LLMs) using both proprietary and open-source frameworks.
- Stay Ahead of Industry Trends: Continuously research and adopt the latest advancements in AI, ML, and generative models to drive innovation and operational improvements.
- Engage in Cross-Team Collaboration: Partner with stakeholders across data science, engineering, operations, and business teams to align AI initiatives with broader organizational goals.
- Train and manage the inference of deep learning models (Bert/Roberta/XL-Net/T4REC) and locally hosted LLMs (Llama/Qwen/Mistral)
- Manage model training, serving and response times at scale by techniques like model quantisation, QAT (quantisation aware training), speculative decoding, flash attention etc
Required Qualifications
- Bachelor's degree in Computer Science, AI, Engineering, or a related technical field.
- 2 - 5 years of professional software development experience with a strong proficiency in Python.
- Demonstrated hands-on experience working with LLMs (e.g., GPT series, Llama, Claude, Gemini) via APIs or open-source models.
- Proven experience building applications with an LLM Orchestrator framework (LangChain, LlamaIndex, etc.).
- Solid understanding of AI Agent architectures and concepts like ReAct (Reasoning and Acting).
- Strong analytical and problem-solving skills, with a passion for building intelligent systems.
Preferred Qualifications
- Experience with cloud platforms like Azure, AWS, or GCP.
- Experience with MLOps practices and tools for deploying and monitoring models in production.
- Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
- Active contributions to open-source AI/ML projects
Think global. Think BIG.
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Data Scientist
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problemsolving scenarios
Data Scientist
Posted 4 days ago
Job Viewed
Job Description
Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 4 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation.
Key Responsibilities:
- Develop and implement machine learning models and algorithms.
- Work closely with project stakeholders to understand requirements and translate them into deliverables.
- Utilize statistical and machine learning techniques to analyze and interpret complex data sets.
- Stay updated with the latest advancements in AI/ML technologies and methodologies.
- Collaborate with cross-functional teams to support various AI/ML initiatives.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Strong understanding of machine learning , deep learning and Generative AI concepts.
Preferred Skills:
- Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python
- Strong knowledge and experience in Generative AI/ LLM based development.
- Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex).
- Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure.
- Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns.
- Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
- Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval.
- Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models.
- Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs.
- Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight).
- Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).
- Experience with version control systems (e.g., Git, CodeCommit).
Good to have Skills
- Knowledge and Experience in building knowledge graphs in production.
- Understanding of multi-agent systems and their applications in complex problem-solving scenarios.
Data Scientist
Posted today
Job Viewed
Job Description
Job Description – Data Scientist
- Design, build, and maintain robust and scalable applications using Python and advanced AI frameworks.
- Develop complex, multi-step workflows and autonomous systems using LLM Orchestrators like LangChain, LlamaIndex, or Semantic Kernel.
- Integrate AI models and agentic systems with our existing data pipelines, APIs, and infrastructure.
- Collaborate with product managers, data scientists, and software engineers to define requirements and deliver high-impact AI features.
- Establish AI Development Standards: Design and implement industry best practices for building, testing, and deploying scalable AI Agents (RAG, Prompting, Chat Completion, Multi-agent, Fine-Tuning), particularly focusing on generative models and large language models (LLMs) using both proprietary and open-source frameworks.
- Stay Ahead of Industry Trends: Continuously research and adopt the latest advancements in AI, ML, and generative models to drive innovation and operational improvements.
- Engage in Cross-Team Collaboration: Partner with stakeholders across data science, engineering, operations, and business teams to align AI initiatives with broader organizational goals.
- Train and manage the inference of deep learning models (Bert/Roberta/XL-Net/T4REC) and locally hosted LLMs (Llama/Qwen/Mistral)
- Manage model training, serving and response times at scale by techniques like model quantisation, QAT (quantisation aware training), speculative decoding, flash attention etc
Required Qualifications
- Bachelor's degree in Computer Science, AI, Engineering, or a related technical field.
- 2 - 5 years of professional software development experience with a strong proficiency in Python.
- Demonstrated hands-on experience working with LLMs (e.g., GPT series, Llama, Claude, Gemini) via APIs or open-source models.
- Proven experience building applications with an LLM Orchestrator framework (LangChain, LlamaIndex, etc.).
- Solid understanding of AI Agent architectures and concepts like ReAct (Reasoning and Acting).
- Strong analytical and problem-solving skills, with a passion for building intelligent systems.
Preferred Qualifications
- Experience with cloud platforms like Azure, AWS, or GCP.
- Experience with MLOps practices and tools for deploying and monitoring models in production.
- Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
- Active contributions to open-source AI/ML projects
Think global. Think BIG.
Visit us:
Linkedin:
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Data Scientist
Posted today
Job Viewed
Job Description
Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 4 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation.
Key Responsibilities:
- Develop and implement machine learning models and algorithms.
- Work closely with project stakeholders to understand requirements and translate them into deliverables.
- Utilize statistical and machine learning techniques to analyze and interpret complex data sets.
- Stay updated with the latest advancements in AI/ML technologies and methodologies.
- Collaborate with cross-functional teams to support various AI/ML initiatives.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Strong understanding of machine learning , deep learning and Generative AI concepts.
Preferred Skills:
- Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python
- Strong knowledge and experience in Generative AI/ LLM based development.
- Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex).
- Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure.
- Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns.
- Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
- Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval.
- Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models.
- Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs.
- Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight).
- Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).
- Experience with version control systems (e.g., Git, CodeCommit).
Good to have Skills
- Knowledge and Experience in building knowledge graphs in production.
- Understanding of multi-agent systems and their applications in complex problem-solving scenarios.
Data Scientist
Posted today
Job Viewed
Job Description
Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problemsolving scenarios
Data scientist
Posted today
Job Viewed
Job Description
Role: Lead Data Scientist – Gen AI Location: India (Remote)About Lingaro:Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.About DS/AI Competency Center:Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools.Website: Tasks: The key duties are: Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment) Analyzing and interpreting the findings Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes Supporting Pre-sales activities and initiatives Requirements:Must Have:Familiarity with theory behind various machine learning concepts Experience with Machine Learning (ML), especially in the area of Genertative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multi modal models. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment Fluency in Python, working knowledge of SQL and vector data base Knowledge of specific DS/ML/CVGen AI/NLP libraries like: Num Py, Keras, Tensor Flow, Py Torch, Hugging Face, Lang Chain, and Gen AI APIs i.e. Open AI/Gemini. Nice to have: Experience in working with big data and distributed environments would be a plus Commercial experience proven by multiple successful projects in the area of Generative AI, Natural Language Processing or Computer Vision would be a big plus General: Good computer programming skills and familiarity with object oriented programming concepts Expertise in Azure cloud resources, Databricks Hands-on experience with Docker for containerisation Strong business acumen Ability to come up with creative solutions to address customer problem Ability to lead small technical team on the project Why join us: Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.100% remote.Flexibility regarding working hours.Full-time positionComprehensive online onboarding program with a “Buddy” from day 1.Cooperation with top-tier engineers and experts.Unlimited access to the Udemy learning platform from day 1.Certificate training programs. Lingarians earn 500+ technology certificates yearly.Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.Grow as we grow as a company. 76% of our managers are internal promotions.A diverse, inclusive, and values-driven community.Autonomy to choose the way you work. We trust your ideas.Create our community together. Refer your friends to receive bonuses.Activities to support your well-being and health.Plenty of opportunities to donate to charities and support the environment.Application Link: Templates/Recruitment Form.aspx?Web ID=c4234668f9d849ac8f6d6e86cfa5fd4a