ml data engineer jobs in Delhi

AI/ML Engineer — Data, Evaluation & Model Improvement Focus: LLM evaluation, fine-tuning and continuous product improvement Company: SecNinjaz Technologies LLP Experience: Around 2 years of relevant hands-on experience Employment: Full-time, on-site Locations: Netaji Subhash Place, New Delhi, About the opportunity At SecNinjaz, we are building an...

CodeRound is hiring a ML Engineer to join our team. What You'll Do • Design, build, and deploy matchmaking, recommendation, ranking, and personalisation systems • Develop a real-time adaptive recommendation engine that learns from user interactions and other behavioural signals • Build ranking algorithms that deliver highly personalised and curated...

Experience required: 3-6 years Skills: AWS Glue, Postgre SQL, Python, SRE, PySpark, Kafka and AWS services like Lambdas and stepfunction. Willing to work on the shift as required Willing to learn SRE Strong problem-solving skills Good to have knowledge on AWS infrastructure, Knowledge in github actions

We are seeking a skilled Data Engineer with at least 5 years of experience to join our data analytics team, focusing on building robust data pipelines and systems to support the creation of dynamic dashboards. The role involves designing, building, and optimizing data architecture, enabling real-time data flow for visualization and analytics. The Data...

About SarvamSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak...

1. Overall 8+ years of experience with Python and data science toolkits (NumPy, Pandas, Scikit-learn). 2. Develop and deploy APIs and web applications using Flask. 3. Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). 4. Design, implement, and optimize advanced machine learning models, including supervised, unsupervised, and deep learning...

JD- a. Bachelor's degree in computer science or related field, or equivalent work experience with 5+ years in SQL Servers and relational databases b. Strong expertise in data engineering, including querying and optimizing complex data sets, and experience with ETL tools like SSIS and ADF c. Proficiency in Azure cloud technologies, data visualization and...

Role: AIML Engineer-ML/DS+Agentic AI Exp: 4-6 years Locations: Chennai, Pune, Hyderabad, Bangalore, Delhi/NCR Priority: High  Key Responsibilities Design, develop, and deploy production-grade AI/ML solutions across classical ML, deep learning, GenAI, and Agentic AI. Apply machine learning and statistical modeling techniques to solve complex business...

We’re not just building tech - we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven AI/ML Engineer - Senior who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on real-world challenges, experimenting with the latest in generative AI, and...

Job location: Remote, IndiaAbout the role: We are looking for an experienced SAP Data Engineer / SAP ABAP Engineer to join our Data Engineering team and strengthen in-house capabilities in the SAP ecosystem.This role sits at the intersection of SAP application development, business processes, data integration, and enterprise data engineering.The ideal...

Company Description Bloom AI builds applied intelligence solutions that help decision-makers turn dispersed data into clear, actionable signals. The company partners with asset managers, insurers, private equity firms, and enterprise teams to bridge modern data infrastructure and real business action. By combining curated domain data, structured intelligence...

Key deliverables: Enhance and maintain the MDM platform Monitor and optimize system performance Troubleshoot and resolve technical issues Support production incident resolution Role responsibilities: Develop and refactor Python and SQL code Integrate REST APIs within MDM workflows Utilize Azure Databricks and ADF for ETL tasks Work on Markit EDM or...

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Azure Data bricks. Develop complex ETL processes using Python scripts and SQL queries to process large datasets stored in Azure Data Lake Storage. Collaborate with cross-functional...

About the Company : `Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and...

1. Designing and building data pipelines to collect, process, transform, and store data from various sources. This involves understanding the data flow, selecting the appropriate technologies, and creating scalable and efficient data processing workflows. 2. Ensure that the data pipeline architecture is reliable and produces high-quality data. This involves...

Role: Azure Data Engineer Open Positions: 20 Location: Pan India Joining Timeline: Immediate to 15 days Budget: ₹16–20 LPA Experience: 5–9 years total Relevant Experience: 2+ years of Azure experience Mandatory Skills: Azure, Databricks, ADF Strong hands-on experience with Azure Databricks and Azure Data Factory, including complex pipelines,...

THE ROLE You are the senior (7-8 years of experience required), hands-on engineer who leads the design and build of Databricks lakehouses for our clients setting platform standards, delivering the medallion and governance layers, and mentoring the team. You work under the Principal Architect and are the technical anchor on your accounts. WHAT YOU’LL...

Job Title: Azure Data Engineer Job Summary An Azure Data Engineer designs, builds, and maintains scalable data solutions on Microsoft Azure. The role focuses on data ingestion, transformation, storage, and analytics to support business intelligence, reporting, and advanced analytics. Key Responsibilities Design and develop data pipelines using Azure...

Solid understanding of GCP ETL framework. Solid knowledge about develop robust, scalable, reusable and efficient ETL. Solid knowledge about Data lake and Datawarehouse concepts. Strong Hands-on knowledge about Bigquery SQL and Pyspark/Python Solid knowledge about Bigquery architecture and different data types and other GCP...

GCP Senior Data Engineer Job description as below: Key Responsibilities: Solid understanding of GCP ETL framework. Solid knowledge about develop robust, scalable, reusable and efficient ETL. Solid knowledge about Data lake and Datawarehouse concepts. Strong Hands-on knowledge about Bigquery SQL and Pyspark/Python Solid knowledge about Bigquery architecture...