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Sony India

<div>
 We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s.
 
 
 Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.
 
 
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 Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more.
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 Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.
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 Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
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 Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
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 Produce reusable code according to standard methodologies in Python, Scala or Java
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 Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
 
 
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 Strong Python programming skills
 
 
 
 [Good to have Skills]:
 
 
 
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 SQL, Data Analysis , Gaming Industry knowledge
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</div>

ML Engineer

RingCentral

<div>
 
 
 Job Description:
 
 
 
 We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services.
 
 
 As part of our ML/AI team, you&rsquo;ll own the full lifecycle of model development &mdash; from data preparation and fine-tuning to inference optimization and deployment in production environments.
 
 
 
 
 
 
 Responsibilities:
 
 
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 Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases
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 Build scalable retrieval-augmented generation (RAG) pipelines that combine LLMs with structured/unstructured data sources
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 Develop prompt engineering strategies, templates, and evaluation frameworks for LLM-driven workflows
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 Collaborate with cross-functional teams to identify and implement AI-driven solutions to business problems
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 Optimize models for low-latency inference using quantization, distillation, and other model optimization techniques (e.g., ONNX, TensorRT)
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 Build robust data processing, labeling, and augmentation pipelines to improve model performance
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 Implement monitoring and evaluation systems for deployed LLMs, ensuring reliability, fairness, and safety
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 Stay current with emerging trends in LLMs, retrieval systems, and generative AI frameworks
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 Requirements:
 
 
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 1-4 years of hands-on experience in NLP/LLM.
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 Strong proficiency in Python and PyTorch and related frameworks (like Hugging Face Transformers, Sentence Transformers etc.)
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 Proven experience developing and deploying NLP or LLM pipelines in production environments at scale
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 Solid understanding of transformer architectures and attention mechanisms
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 Proficiency in using LLM provider APIs such as OpenAI, Gemini etc.including prompt design, fine-tuning, and evaluation
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 Experience with model optimization techniques such as quantization, pruning, ONNX, TensorRT, or model distillation
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 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field
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 Nice to Have:
 
 
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 Hands-on experience with RAG and vector databases (e.g., FAISS, Qdrant, pgVector etc. )
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 Prior work on LLM fine-tuning, alignment, or evaluation
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 Experience with LLM orchestration frameworks such as LlamaIndex or similar tools
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 Familiarity with multi-provider LLM orchestration, integrating APIs from OpenAI, Gemini etc. and others for fallbacks, routing, or ensemble strategies
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 Knowledge of MLOps for LLMs, including model serving and monitoring
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 Understanding of embedding models, context management, and token optimization for scalable LLM applications
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</div>

AI/ML Engineer

Tata Consultancy Services

<div>
 
 
 Role
 
 - Data Scientist (Traditional ML)
 
 
 
 Experience
 
 - 10 to 15 Years
 
 
 
 Location
 
 - PAN INDIA
 
 
 
 
 
 
 
 
 
 Job description
 
 
 
 
 
 
 Excellent knowledge AI/ML including algorithm development
 
 
 In-depth knowledge in Data (collection, preparation, analysis, visualization)
 
 
 Hands-on experience in Python based development
 
 
 Hands-on experience on multi cloud (Azure, AWS and GCP)
 
 
 Hands on experience AI/ML implementation
 
 
 Hands on experience GenAI and Agentic AI
 
</div>

Data Scientist (Traditional ML)

HSBC

<div>
 
 Some Careers Have More Impact Than Others.
 
 
 
 If you&rsquo;re looking for a career where you can make a real impression, join HSBC and discover how valued you&rsquo;ll be.
 
 
 HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
 
 
 We are currently seeking an experienced professional to join our team in the role of
 
 Machine Learning Data Scientist
 
 
 
 
 Business: Global Banking &amp; Markets
 
 
 
 
 Principal Responsibilities
 
 
 
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 The Role Holder will be responsible for leading the data science activities within the project, working with business analysts, data scientists and developers:
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 Reviewing the proof of concept, current state and opportunities to utilise AI/ML in the Trade and Transaction Reporting Controls area.
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 Proposing appropriate AI/ML models and techniques that will best fit with the data domains, volumes, available tools and business priorities.
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 Using a range of AI/ML techniques and programming languages to transform data, analyse data and identify potential data quality issues.
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 Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance.
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 Working with technology to integrate and separate data feeds to map, produce, transform and test new machine learning pipelines.
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 Work with Business Partners to clarify problems/opportunities and propose solutions underpinned by strong data analysis of underlying controls and processes
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 To understand and operate within HSBC&rsquo;s AI/ML governance and procedures
 
 
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 Requirements
 
 
 
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 Relevant Bachelor's or equivalent University degree in AI/Machine Learning.
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 Evidence of a successful track record of leading delivery of AI/ML solutions within Markets/Investment Banks.
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 Strong data scientist with experience in anomaly detection techniques, particularly in the trade data domain.
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 Awareness of a broad range of ML techniques.
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 Google Vertex an advantage.
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 Good overall understanding of Primary Trading systems, trading products and front to back trade lifecycle flows.
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 Demonstrated experience working with SMEs and key stakeholders to support understanding of the problem/data.
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 Be capable of communicating complex data science/AI/ML techniques and processes to business users and SMEs
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 Drive and resilience as must be comfortable working in rapidly changing and ambiguous situations.
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 Hands on ability to perform data analysis to drive business insights and decision making.
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 Proactive and willing to use own initiative to resolve issues.
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 Excellent communication and interpersonal skills.
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 Structured and methodical in planning their own book of work, delivery of artefacts, managing multiple competing priorities and setting expectations with stakeholders.
 
 
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 You&rsquo;ll achieve more at HSBC
 
 
 
 HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.&rdquo;
 
 
 Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
 
 
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 Issued By HSBC Electronic Data Processing (India) Private LTD***
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</div>

Machine Learning Data Scientist (Blr)

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Machine Learning Engineer, you&rsquo;ll be a technical leader helping architect, scale, and harden SAP&rsquo;s next generation of generative AI services. You&rsquo;ll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows&mdash;turning foundational model research into secure, production-ready enterprise solutions.
 
 
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 Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.
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 Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale.
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 Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP&rsquo;s GenAI Hub and third-party providers (e.g., Amazon Bedrock).
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 Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs.
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 Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond.
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 Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability.
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 Stay at the forefront of ML/AI trends and bring best practices into the team&rsquo;s architecture and execution.
 
 
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 What You Bring
 
 
 
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 3+ years of professional experience in machine learning engineering, software engineering, or applied research roles.
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 Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.
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 Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation.
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 Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs).
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 Proven track record of delivering production AI systems at scale.
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 Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.
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 Experience mentoring engineers and shaping engineering culture
 
 
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 Meet The Team
 
 
 
 The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research &amp; Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards.Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP&rsquo;s Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows
 
 
 At SAP, senior engineers have the chance to define architecture and strategy for some of the world&rsquo;s most impactful enterprise AI services. You&rsquo;ll shape how businesses plan, build, and visualize with AI&mdash;while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP&rsquo;s AI innovations scale securely, reliably, and responsibly
 
 
 #sapaiapp
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 434895 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

Machine Learning Engineer

Oracle

<div>
 
 
 Responsibilities:
 
 
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 Help drive next-generation AI capabilities, with a focus on microservices, using Oracle standard tools, technology and development practices along with leading open-source frameworks
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 Deliver high-quality software components as part of the AI Data Platform product
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 Work with technical leads to ensure new capabilities are built with right design principles
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 Work with remote and geographically distributed teams to operate complex cloud systems including participation in on-call rotation and related operational activities
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 Ready to learn and jump into new areas and domains
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 </ul>
 
 
 Qualifications:
 
 
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 BS/MS in Computer Science or equivalent experience
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 2-5 years of experience in Java/Python Developement
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 Experience implementing and operating cloud services
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 Strong proficiency in Java and related technologies. Python experience is also desired.
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 Cloud development experience on one of the major platforms (Oracle, AWS, Azure, GCP)
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 Solid understanding of networking concepts, security principles, and best practices.
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 Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems
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 Familiarity with DevOps automation and tools for continuous integration, deployment, and monitoring (e.g., Terraform, Jenkins, GitLab CI/CD, Prometheus).
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 Excellent problem-solving skills, with the ability to troubleshoot complex issues
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 Strong communication skills, with the ability to work effectively in cross-functional teams
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 AI/ML experience (highly desired):
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 Experience building Generative AI, Agentic, and/or RAG systems
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 Familiarity with latest open-source AI models/frameworks (Llama, LangGraph, etc)
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 Understanding of ML Ops and related tooling / infrastructure
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 </ul>
</div>

Software Engineer

JPMorganChase

<div>
 
 Job Description
 
 
 
 Job Summary:
 
 
 J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization.
 
 
 Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science.
 
 
 
 Job Responsibilities
 
 
 
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 Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution.
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 Conduct research on AI techniques to enhance model performance in the compliance and risk domains.
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 Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system.
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 Communicate technical concepts effectively to both technical and non-technical stakeholders.
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 Develop and maintain tools and frameworks for model training, evaluation, and optimization.
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 Analyze and interpret data to evaluate model performance and identify areas for improvement.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
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 Master&rsquo;s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities.
 </li>
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 Minimum of 8 years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI.
 </li>
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 Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.
 </li>
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 Thorough knowledge of machine learning concepts, including transformers and language modeling.
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 Experience in data pre-processing, feature engineering, and data analysis.
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 Excellent problem-solving skills and the ability to communicate ideas and results clearly.
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 Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.
 
 
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 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.
</div>

Vice President – Data Science / Applied AI ML

Explore 138+ Ml engineer in Mangaluru India this November. Find roles across top companies and apply now to boost your career.