Data Engineer - ML & AI in Hyderabad, India

... chatbot. We want a designer who thinks in AI-native patterns: non-deterministic outputs, streaming responses, confidence and citations, human-in-the-loop, graceful failure, and multi-step agentic flows. You will own end-to-end product design across customer-facing and internal AI products, working directly with engineering and ...

... technical specifications. Experience with Whiz AI or product-based environments is preferred. A strong product mindset is mandatory. Candidates who have worked for Saas and UI/UX products Business Analyst who has used AI/ML OR LLMs, OR agentic AI. Super good communication Single round of interview – direct with Client

• Full-time

... hands-on experience working with AI/ML/GenAI products.- Experience taking an AI product from idea to MVP to production to optimisation.- Strong analytical and data-driven approach.- Strong understanding of LLMs, Generative AI, AI agents, RAG, function calling, AI evaluation, voice AI/conversational AI and human-in-the-loop ...

... and evaluate model performance.- Collaborate with senior engineers to productize ML models into scalable services.- Participate in end-to-end ML workflows from data ingestion to model https://jobeax.com/link/6K228mqDEvef9KNC Qualifications & Skills :- 2 to 4 years of experience in AI/ML engineering or data science roles.- ...

• Hybrid

$100 USD

... portfolio companies across North America, the UK, EU, and https://jobeax.com/link/YIrO88Y2oCG2cGci :We are seeking a Senior AI & Data Engineer to join our Tech & Data Strategy team in Chennai. You excel in your understanding of AI: how large language models work, how AI agents reason and use tools, and how AI automation transforms ...

Role Overview:Seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Real-Time Data Processing, Lakehouse Architecture, and AI-driven solutions. The role involves designing, developing, and supporting scalable data platforms and streaming pipelines, leveraging modern Databricks capabilities such ...

... https://jobeax.com/link/hXQ9gENrYqInyB4B Stack:- Languages: Python, Bash, SQL- CI/CD: Jenkins, Azure DevOps, GitOps, Git- Cloud/Infra: Azure, AKS, Docker, Helm- ML/Data: Databricks ML, Delta Lake, MLflow, PySpark, PostgreSQL, Redis, ADLS Gen2Required Skills:- 4+ years of ML/AI engineering or DevOps experience.- Strong production MLOps pipeline ...

... The AI Engineer is an ML engineer responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how Lyric searches and analyzes complex medical and insurance data. Essential Job Responsibilities & Key Performance Outcomes Data engineering: ...

• Hybrid

... years of experience in data science, including hands-on development of AI/ML or optimization models and at least 2 years working with process event or behavioral data. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field. - Proven track record of building ...

• Full-time

... knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving abilities Ownership mindset with a focus on quality and scalability Additional Details • Work Mode & Location: Full-time, Work from Client (Mumbai)

... experience with machine learning, deep learning, and statistical modelling. Hands-on expertise in Generative AI, Large Language Models (LLMs), RAG frameworks, vector databases, and prompt engineering. Experience with Microsoft Azure cloud platform, AWS and Google Cloud would be added advantage. Knowledge of MLOps, model deployment, ...

... seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science. Be part of a team that's scaling sustainably, thinking big, and building for the next billion. Tech Systems that run at Scale: ...

... stakeholders actually use. - Clear, confident communicator who can explain technical findings to non-technical audiences and defend a recommendation in the room. IITs, IIMs, ISI, BITS Pilani, or equivalent top-tier institutes) in a quantitative discipline - Computer Science, Statistics, Mathematics, Engineering, or Economics.

... Advanced SQL querying and optimization for large datasets. - Practical experience in training, tuning, and testing ML algorithms (e.g., familiarity with modern ML/DL approaches. - Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions. ...

1350

... libraries (e.g., Proven track record of leading complex, end-to-end data science projects that have delivered significant business impact. Experience with cloud-based ML platforms / ML ops (e.g., AWS SageMaker, MLflow) and their generative AI services Familiarity with frameworks like LangChain or LlamaIndex or Agent Development ...

... Advanced SQL querying and optimization for large datasets. - Practical experience in training, tuning, and testing ML algorithms (e.g., familiarity with modern ML/DL approaches. - Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions. ...

... Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings and insights through effective story telling through visualization tools such as Power BI /Tableau - Detail-oriented ...

$100 USD

... novel measurement approaches Ideal For: Senior and Staff data scientists who want one of the hardest, most consequential analytics surfaces in AI software Applied ML practitioners who'd rather build the pipeline than wait for one Analysts who moved into ML and never stopped shipping Anyone drawn to where classical ML, LLM-native ...

... performance.- Collaborate with product and business teams to convert complex data insights into practical business strategies.MUST-HAVE SKILLS :- Data Science, Data Forecasting / Time-Series Forecasting- Python or R, SQL- ARIMA, Exponential Smoothing, Prophet, XGBoost, LightGBM- Pandas, Scikit-learn, Statsmodels, MLflow / ...

... Mandatory skill — Strong ability to design, evaluate, and improve ML models using robust validation strategies, cross-validation, hyperparameter tuning, feature engineering, and model comparison. Experience selecting appropriate algorithms based on business objectives, data characteristics, interpretability requirements, and ...