Data Scientist (Python, ML, SQL) in Noida, India - Jobeax
Vacancy description
Data Scientist (Python, ML, SQL) in Noida, India
Exl
Rs 5 - 10 lakhs p.a.
India, Noida
Data Scientist (Python, ML, SQL) in Noida, India is listed on Jobeax. Browse 30,000+ vacancies available.
Model Development: Research, design, and develop state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics.
Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models.
Deployment: Implement scalable solutions for deploying generative AI models in production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).
Collaboration : Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to align AI solutions with business goals.
Evaluation: Develop metrics and benchmarks to evaluate model performance and ensure quality outputs.
Research: Stay up to date with the latest advancements in AI/ML, particularly in generative AI techniques, and propose innovative solutions.
Ethical AI Practices: Experience of architecting AI systems to solve complex business problems.
Build advanced RAG pipelines, text chunking, and retrieval, LLM Prompt Engineering, using Vector Databases. Implement right LLM selection based on use cases and client criteria (GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) while managing trifecta of accuracy, cost, and latency/scale.
Develop, fine-tune, context tune and implement state-of-the-art NLP models including Large Language Models like GPT, https://jobeax.com/link/10NB10tyPdNbii5N AI systems & architectures, while considering good Responsible AI standards and AI Governance.
Build Agentic AI, AutoGen, Muti-agents use cases, AI Autonomous Agents and LLM orchestration architectures for enterprise data at scale in Python.
Hands on experience with complementary technologies around LLMs like embedders, vector databases (chroma, weaviate etc.), Collaborate with cross-functional teams to integrate generative AI solutions into real-world applications.
Stay up-to-date with the latest advancements in deep learning and generative models and apply them to enhance our AI capabilities.
Document research findings, prepare technical reports, and contribute to whitepaper/scientific publications.
Provide deep leadership and coaching in the project delivery lifecycle. Qualifications Education and Experience:
Masters of Science or PhD in computer science, data science, statistics, Natural Language Processing
2-3 years of experience in GenAI and Large Language Models.
Strong programming skills in Python, including experience with libraries like TensorFlow, PyTorch, Hugging Face Transformers, or similar. Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine tuning.
Hands-on experience with generative AI models, such as Llama3, GPT4, Claude
Knowledge of NLP, computer vision, or multimodal AI techniques.
Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
Experience in Generative AI Models and LLMs, finetuning LLMs, prompt engineering and experience with LLM orchestration frameworks like Langchain, LlamaIndex, RAGAS, etc.
Strong software engineering skills for rapid and accurate development of AI models and systems.
Understanding of Agentic AI, Autonomous Agents, AI Agents, AutoGen, https://jobeax.com/link/x5OJTgUk5BytQUwi, Langchain, and workflow steps design. Google AI Agents.
Provide business-oriented solution with ability to communicate effectively, both verbally and in writing, with technical and non-technical stakeholders.
Experience working in a collaborative environment, contributing to multidisciplinary teams and projects.
Experience in deploying ML models in cloud environments (AWS SageMaker, GCP AI Platform, or Azure ML).
Excellent communication skills, both technical and non-technical.
5 years of experience in AI, NLP including transformer architecture and LLMs, Computer Vision and related technologies
Ability to explain GenAI to non-technical audiences across many different industries. Candidate is also hands on developer while people managing Data Scientists, ML Engineers etc.
Experience in ML Engineering and MLOps, MLFlow
Strong understanding of statistical and machine learning concepts
Experience with deep learning frameworks such as TensorFlow and PyTorch
Familiarity with key concepts and techniques used in generative models, such as variational autoencoders (VAEs), generative adversarial networks (GANs), and flow-based models.
Strong programming skills in languages such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow.
Understanding of Graph Database and/or Vector Database along with knowledge of cloud services (e.g., AWS, Azure, GCP).
Experience with deploying AI models in production environments.
Familiarity with domain-specific applications of generative AI
Leveraged both Azure and AWS for model inferencing. For finetuning, he has worked more on AWS SageMaker.
... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...
... with data scientists, analysts, and technology teams to deliver data https://jobeax.com/link/Gpaa4oyRTNYXQU0V Stack & Requirements : - Strong proficiency in Python, SQL, and Spark/PySpark.- Hands-on experience with Azure Data Factory, Azure Databricks, and/or Synapse Analytics.- Experience with ETL/ELT frameworks and data ...
... Software Engineering / Data Engineering Fundamentals Basic software design principals Unit testing Version control High performance code to work at sc Skillset: Data Analyst Exp: 5+ Yrs Location : PAN India SQL DDL and DML skills on structured and non-structured data base Python- Coding for data parsing, manipulation, aggregation ...
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... years of experience. - Expert-level proficiency in SQL. - Strong experience with data visualization tools, particularly Tableau. - Hands-on experience with cloud data warehouses like Snowflake and data transformation tools like dbt. - Proficiency in Python for data analysis and scripting. - A proactive and curious mindset with ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...
... SQLAlchemy, and database drivers.- Work with YAML-driven configurations and integrate with APIs where required.- Own CI/CD processes using Git workflows.- Document data models, pipeline logic, data lineage, and operational processes.Must-Have Skills : - 6+ years of experience in Data Engineering.- Strong Python + SQL expertise.- ...
... https://jobeax.com/link/SxaWoIptPtnP4xy1 Skills:- 6 to 10 years of experience in Data Analysis / Data Analytics.- Strong proficiency in SQL, Excel (Pivot Tables, Advanced Functions), and Python.- Experience in data modeling, reporting, and dashboarding.- Strong analytical and problem-solving skills.- Ability to work with large and complex datasets.- ...
... level. Key Performance Measures Meeting Project Milestones Master Data Accuracy On time delivery of Data analysis to stakeholders Knowledge, Skills And Experience Data Analysis & Problem-Solving Ability to analyze large datasets, identify trends, and recommend actionable insights. VBA/ Python skills Stakeholder Communication ...
... proficiency in SQL. - Experience with data visualization of large data sets using BI systems (Qlik Sense, Sisense, Tableau, Looker, etc.). - Experience working with data warehouse/data lake tools like Athena / Redshift / Snowflake /BigQuery. - Knowledge of Python - An advantage. - Experience building ETL processes – An advantage. ...
... trends in ML/AI and proactively apply emerging techniques where https://jobeax.com/link/xsE6UjgkMYiS07j0 candidate profile :- 3 years of hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, ...
... https://jobeax.com/link/sEOksQVqU173JbV8 Skills : - Machine Learning : Supervised Learning, Unsupervised Learning, Deep Learning, Forecasting.- Programming and Data : Python, SQL, Data Wrangling.- ML Engineering : End-to-End ML Solution Development, Model Deployment, Production Monitoring.- Emerging AI : Generative AI, Agentic ...
Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...
... understand data requirements and deliver solutions. Identifying opportunities for process improvements based on data analysis. Assisting in the development of data models and algorithms to enhance business decision-making. Skills and Qualifications Proficiency in data analysis tools such as Python, R, or SQL. Experience ...
... experience as a Data Analyst, with strong focus on Power BI. - Proficiency in SQL for data extraction, manipulation, and analysis. - Strong expertise in building data models, DAX calculations, and Power Query transformations. - Experience working with large datasets, data warehouses, and cloud data platforms (Azure, AWS, GCP). ...
... other get better. Headout helps people experience the best of every city they visit. What skills & experience do you need - 1 - 3 years in an analytics, BI, or data science role - Strong SQL skills, you can write complex joins, window functions, CTEs without hand-holding. Working knowledge of Python for data manipulation, ...
... Statistics, or a related field. - 8-15 years of experience in data analysis or a similar role. - Proficiency in Databricks and Spark for big data processing. - Strong SQL skills for data querying and manipulation. - Experience with data visualization tools like Tableau or Power BI. - Knowledge of Python or R for data analysis and ...
... Science, Data Science, Mathematics, Statistics, or related fields. A strong academic pedigree is highly preferred. Overview: We are seeking a talented and motivated Data Scientist to join our team. The ideal candidate will have 2-5 years of hands-on experience in the development and deployment of Machine Learning (ML) projects. ...
... Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a https://jobeax.com/link/zVhzh4YeJ9DeO7c3 Skills :- Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.- Strong understanding of statistical methods, predictive modeling, and algorithm design.- Familiarity with ...
... Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks ...