15,840 machine learning & deep learning jobs in India.

... The FP&A Analyst will play a central role in driving high-quality financial insight, planning, and decision support across the region. The role will provide deep vertical insight by leveraging legacy knowledge, robust forecasting, and driver-based analysis to support strategic and operational decision-making. Key responsibilities: ...

... our products with the support and partnership of Sales, Product Management, and the executive team. This is a hands-on technical consultant who can go wide and deep on solution delivery and solution positioning during sales cycles. What you get to do in this role: The Solution Consultant is a technical consultant with the ...

... Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis’ long history of providing comprehensive engineering, consulting, and project management services makes it a trusted ...

About ClarityPay: We give businesses and their customers peace of mind by solving complex credit challenges with precision, speed, and intelligence, combining deep expertise with advanced technology, to simplify the experience and deliver better outcomes, every time. We're a fast‑growing fintech empowering enterprise merchants ...

... product positioning and feature prioritization.- Partner with customer success and sales teams to establish closed-loop feedback cycles - capture deployment learnings, user friction points, and feature requests from live customer environments to continuously shape the product backlog.Cross-Functional Leadership & Innovation:- ...

... Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clients operate. We are not here to sell AI theatre. We are here to turn AI into working systems, measurable outcomes and repeatable transformation ...

... compliance. The ideal candidate brings a strong blend of executive presence, program leadership, stakeholder management, and enterprise transformation expertise, with deep experience working across Finance, Accounting, SAP ecosystems, consulting organizations, and global business functions. This role will partner closely with senior ...

... to wider opportunities within EY and to raising its profile externally e.g. taking an active role in writing articles for The Actuary - Develop and maintain deep technical knowledge in Excel modelling skills - Present internally and externally on areas of technical specialist knowledge - Develop reports and presentations ...

... kick-off calls - remote sessions providing overview of project44 and outline of the implementation project to the customer. - Technical requirements review and deep dive analysis – review the customer setup, way of integrations between P44 and Customer systems: e.g. review APIs in detail,consulting with customer to provide ...

... maintain clear documentation of architecture and processes. Required Experience: • Data engineering experience building and operating production data platforms. • Deep, hands-on expertise in real-time replication and change data capture (CDC) from relational databases into Databricks. • Strong grasp of database concepts, plus ...

... comparable quality-focused production role. - A shareable professional video demo reel or portfolio is mandatory, and must be accessible to the team for evaluation. - Deep understanding of editing fundamentals, including pacing, continuity, shot selection, narrative structure, transitions, visual composition, and storytelling. - ...

... B.E./B.Tech (https://jobeax.com/link/s1WvHFV9ITSwCkyS a plus) in Electrical, Electronics or EEE. - 6–10 years in EV / automotive electrical validation, with deep hands-on experience in batteries/BMS and chargers. - 2+ years of direct people management – leading engineers, assigning work, conducting performance reviews. ...

... orchestration-first agent design. - Partner with AI governance, security, platform, and business leads. - Knowledge and Skills Requirements: Core Technical Expertise - Deep understanding of agentic architectures and orchestration patterns. - Strong hands-on experience building multi-agent workflows end to end. - Proven experience ...

... end- to-end ownership of deal making - Experience with agile, globally distributed team models - Strong communication skills and able to successfully articulate deep domain / technical concepts to both business and technology audience - 10+ years in the architect and/or lead engineer role managing, building, and delivering ...

... Experience with microservices architecture using Docker, Kubernetes.- Experience with real - time data processing (streaming architectures, event - driven systems).- Deep understanding of data modeling techniques : dimensional modeling, data vault, star/snowflake schemas.- Expert knowledge of ETL/ELT best practices and modern data ...

... inclusive team that is representative of all sections of society and to sustaining a culture that celebrates difference, encourages authenticity, and creates a deep sense of belonging. We welcome applications from all members of society irrespective of age, disability, sex or gender identity, sexual orientation, color, race, ...

... experience in Consumer Insights, Key account Management, Trade Marketing or CPG consulting - Experience in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior - Proven experience working in the Fast-Moving Consumer Goods (FMCG) sector with a ...

... practices versioning, Docker, CI/CD.- Document technical designs and experiments; contribute to internal knowledge sharing.- Stay current with advances in CV, deep learning, and generative AI.Must-Have Skills:- Bachelor's/Master's in Computer Science, Electronics, Data Science, AI/ML, or related field.- Strong Python; working ...

... analyze structured and unstructured datasets. - Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights. - Develop and evaluate basic machine learning models. - Work with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. - Write SQL queries to extract and manipulate data. ...

... accuracy, and retrieval latency - Verify quality, diversity, and privacy compliance of synthetic datasets used for model training and evaluation Classical ML & Deep Learning Validation - Maintain automated suites tracking ML metrics — Precision, Recall, F1, ROC-AUC — and deep learning loss curves across model versions - Implement ...