Data Engineer - ML & AI in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
Aviato Consulting is looking for a highly skilled and motivated Data Engineer to join our expanding team. This role is ideal for someone with a deep understanding of Google Cloud data solutions. GCP certification is mandatory for this position. You will work directly with clients, translating their business requirements into scalable data solutions, while providing technical expertise and guidance. Key Responsibilities: Client Engagement: Work closely with clients to understand business needs, gather technical requirements, and design solutions leveraging GCP services. Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery based data lakes and warehouses. Real Time Data Processing: Implement and manage streaming data pipelines using Kafka, Pub/Sub, and similar technologies. Data Analysis & Visualization: Create insightful data dashboards and visualizations using tools like Looker, Data Studio, PowerBI, or https://jobeax.com/link/B8y9AYCjgVVEqFTV conversational interfaces, RAG pipelines, and intelligent search experiences for enterprise data. AI & Machine Learning Solutions :Design, deploy, and operationalize ML models and Generative AI applications using Vertex AI (including Gemini, AutoML, and custom models). Implement MLOps pipelines to handle model training, evaluation, deployment, and monitoring. Technical Leadership & Mentorship: Provide guidance and mentorship to team members and clients, helping them leverage the full potential of Google Cloud. Required Qualifications: ~ Experience:
5+ years as a Data Engineer working with Google Cloud
Proven experience in Python with libraries like Pandas and NumPy.
Expertise in building data pipelines using Apache Beam, Cloud Dataflow, or similar tools.
Solid knowledge of Kafka for real-time data streaming.
Proficiency with BigQuery, Google Pub/Sub, and other Google Cloud services.
Familiarity with Apache Hadoop for distributed data processing.
~ Technical Skills:
Strong understanding of data architecture and processing techniques.
Solid understanding of ETL pipelines, data ingestion, transformation, and storage.
Knowledge of data modeling, data warehousing, and big data management principles.
~ Certifications: ~ Google Cloud certification (Professional Data Engineer, Cloud Architect, or similar Pro level) is mandatory for this role.
Soft Skills: Excellent English communication skills. Client facing experience and the ability to manage client relationships effectively. Strong problem solving skills with a results-oriented approach. Preferred Qualifications: ~ Visualization Tools: Experience with tools like Looker, Power BI, or Tableau.
Benefits: Competitive salary and benefits package. Opportunities to work with cutting-edge cloud technologies with large customers. Collaborative work environment that encourages learning and professional growth. A chance to work on high-impact projects for leading clients in diverse industries.
... 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 ...
... fluency and comfort working at the boundary of product and engineering and be able to reason about APIs, orchestration, data flows, permissions, latency, and failure modes Strong judgment in trust-sensitive experiences, including transparency, control, privacy, and reliability Strong Data Analysis, Data Science and engineering ...
Req ID: 386045 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a ML Engineer to join our team in Bangalore or Remote, Karnātaka (IN-KA), India (IN). ...
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 ...
... 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.
... 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 ...
... 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 ...
... 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 ...
... 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 / ...
... 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. ...
... 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 ...
... problems using ML and optimization techniques. - Build scalable ML pipelines and production-ready solutions. - Perform statistical analysis and generate actionable insights. - Collaborate with Data Engineering, Product, Engineering and Business teams. Candidates should be available for an in-person interview in Bangalore.
... 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 ...
... 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 ...
Data Scientist Starts Immediately Competitive salary Competitive salary Experience Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding ...
... 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.- ...
... intelligence and machine learning projects while contributing to meaningful technology initiatives. Responsibilities - Support the development and testing of AI and machine learning solutions under guidance from experienced team members. - Assist with data preparation, exploratory analysis, model experimentation, and performance ...
... 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: ...
... to define KPIs, metrics, and insights frameworks- Drive adoption of data-driven decision makingAI / ML / GenAI Initiatives :- Identify and deliver high-impact AI/ML use cases (forecasting, recommendations, optimization)- Lead development and deployment of machine learning models- Drive adoption of Generative AI use cases ...