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Straive

<div>
 
 
 About the Role
 
 
 
 Straive is looking for a talented and driven
 
 Consultant / Data Scientist / GenAI Engineer
 
 to join our
 
 Analytics &amp; GenAI delivery team
 
 . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 
 
 
 
 
 This role is ideal for candidates from
 
 premier engineering institutes
 
 with
 
 2&ndash;3 years of relevant experience
 
 in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 Python-based
 
 applications, AI/ML models, and data processing pipelines for GenAI projects.
 </li>
 <li>
 Implement
 
 Large Language Model (LLM)
 
 integrations, including
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines and embedding-based search solutions.
 </li>
 <li>
 Build data ingestion and transformation workflows, working with structured and unstructured datasets.
 </li>
 <li>
 Optimize AI model performance through
 
 prompt engineering
 
 , fine-tuning, and evaluation techniques.
 </li>
 <li>
 Collaborate closely with senior team members to translate business requirements into technical solutions.
 </li>
 <li>
 Integrate AI solutions with
 
 vector databases
 
 (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
 </li>
 <li>
 (Optional) Contribute to
 
 cloud-native deployments
 
 and
 
 Azure architecture
 
 &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
 </li>
 <li>
 Document workflows, maintain code repositories, and follow Agile development practices.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2&ndash;3 years
 
 of relevant experience in AI/ML development, preferably in enterprise projects.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
 
 premier engineering institute
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
 </li>
 <li>
 Hands-on experience implementing
 
 RAG pipelines
 
 , embeddings, and vector search solutions.
 </li>
 <li>
 Understanding of
 
 LLM architectures
 
 and integration patterns.
 </li>
 <li>
 Working knowledge of
 
 SQL
 
 and data processing best practices.
 </li>
 <li>
 Basic knowledge of
 
 cloud DevOps concepts
 
 , preferably with
 
 Azure
 
 (AWS/GCP experience is also acceptable).
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 such as LangGraph, Semantic Kernel, or similar.
 </li>
 <li>
 Familiarity with ML model lifecycle management and deployment workflows.
 </li>
 <li>
 Prior experience working with cross-border teams and Agile environments.
 </li>
 </ul>
 
 
</div>

Data Scientist

Commonwealth Bank

<div>
 
 Organization:
 
 
 
 Commonwealth Bank of Australia (CBA) is the largest bank in Australia with a market cap of almost $125 Billion and presence across New Zealand, Asia, the United States and the United Kingdom.
 
 
 It provides a variety of financial services, including retail, business and institutional banking, funds management, superannuation, insurance, investment, and broking services.
 
 
 
 Job Title:
 
 Data Scientist
 
 
 
 Location:
 
 Bangalore
 
 
 
 Business &amp; Team:
 
 The Chief Operations Office(COO) Data Science team is responsible for leading and the delivery of world-class AI and ML capabilities to support the stakeholders in serving our customers. We focus on developing advanced Machine Learning and Generative AI capabilities at CBA, working closely with business teams and analytics communities across the bank. We use data, ML and AI to enhance the financial wellbeing of our customers and communities, and to improve productivity and reduce risk.
 
 
 
 Impact &amp; contribution:
 
 The Data Scientist will use technical knowledge and understanding of business domain to own, drive and deliver highly complex data science projects independently, or with minimal guidance, including generative AI agentic frameworks.
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 <ul>
 <li>
 Lead and drive AI/ data science projects independently, owning the end-to-end process from data collection, model development to model deployment and monitoring.
 </li>
 <li>
 Apply Gen AI, Computer Vison, NLP, Deep Learning, advanced statistical and ML predictive modelling techniques to develop and implement scalable AI solutions, ensuring accuracy and reliability of models.
 </li>
 <li>
 Design and implement agentic AI systems that operate autonomously in dynamic, real-world environments, including establishing evaluation metrics and mitigating risks associated with autonomous decision-making.
 </li>
 <li>
 Collaborate with business and cross-functional teams to understand their needs and implement AI driven solutions, ensuring adherence to data governance and privacy protocols.
 </li>
 <li>
 Contribute to strategic planning and direction of AI, including understanding and suggesting opportunities for AI solutions to drive greater impact, efficiency, or outcomes.
 </li>
 <li>
 Mentor junior data scientists, provide quality assurance on outputs, and guidance on their projects while fostering a culture of continuous learning and best practices.
 </li>
 <li>
 Develop and deploy production-grade AI/ machine learning models in cloud-based and on-prem platforms.
 </li>
 <li>
 Lead cross-functional teams in the design and execution of AI/ data science projects, ensuring alignment with business objectives.
 </li>
 <li>
 Work in a multidisciplinary squad alongside architects, data engineers, taking technical responsibility across all stages of solution development and applying modular, robust code design principles.
 </li>
 <li>
 Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in AI/ data science methodologies and tools through active learning approaches.
 </li>
 <li>
 Drive innovation by exploring new approaches and techniques for solving complex business problems through data analysis and AI/ ML modelling.
 </li>
 <li>
 Ensure responsible and ethical AI implementation, including establishing guardrails, managing model bias, and adhering to group AI policies and regulatory requirements.
 
 
 </li>
 </ul>
 
 Essential Skills:
 
 
 
 <ul>
 <li>
 More than 5 years of relevant experience.
 </li>
 <li>
 Must have: Hands on experience in AI, Deep Learning, Computer Vision, Advanced GenAI experience incl. LLMs, transformer architectures, and ability to make informed choices between different model types.
 </li>
 <li>
 Must have: Expertise in designing and implementing agentic AI systems that operate autonomously in dynamic environments, including agentic frameworks, evaluation metrics, and risk mitigation strategies.
 </li>
 <li>
 Must have: Advanced proficiency in Python (mandatory), SQL, with demonstrated ability to write well-designed, modular and optimized code following software engineering best practices.
 </li>
 <li>
 Must have: Deep knowledge of AI concepts, terminologies, data management tools, and understanding of data bias and governance protocols.
 </li>
 <li>
 Must have: Experience in responsible and ethical AI implementation, including Responsible AI and adherence to governance policies.
 </li>
 <li>
 Must have: Advanced machine learning expertise including regression, ensemble methods, neural networks, hyperparameter tuning, and model optimisation techniques.
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Nice to have: Advanced statistical modelling capabilities including multivariate analysis, time series analysis, experimental design, randomized controlled trials, power analysis, and Bayesian statistics.
 </li>
 <li>
 Nice to have: MLOps experience including model versioning, automated testing, CI/CD pipelines, performance monitoring, and end-to-end model deployment in production environments.
 </li>
 <li>
 Nice to have: Experience with cloud platforms (AWS, Azure) and data platforms, big data frameworks, and distributed computing for large-scale datasets.
 
 
 </li>
 </ul>
 
 Education Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering Or Master&rsquo;s degree Or Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics.
 
 
 </li>
 </ul>
 If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We&rsquo;re keen to support you with the next step in your career.
 
 
 We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
 
 
 Advertising End Date: 25/09/2025
</div>

MKS Instruments

<div>A Day in Your Life at MKS: 
 
As an Associate Data Scientist in our Global Service Team, you will partner with Engineering, Technical Support, Product Marketing, Quality, and Service Operations to drive data driven improvements to the service solutions portfolio. 
 
You Will Make an Impact By:<ul><li>
Collecting, processing, and performing statistical analysis on quality metrics to identify areas of improvement, patterns, and product trends across a broad portfolio.</li><li>
Design, develop, and maintain Power BI dashboards and databases to visualize data into actional insights.</li><li>
Generate regular and ad-hoc reports to articulate recommendations to cross-functional teams.</li><li>
Collaborate with technical support and engineering teams to document key items for continuous improvements in the repair processes.</li><li>
Monitor and ensure data integrity, accuracy, and consistency across all dashboards, databases, and reports.</li><li>
Travel Requirements: Up to 15 % of Travel is required</li></ul> 
Skills You Bring:<ul><li>
Bachelor of Science in Engineering degree or equivalent experience</li><li>
Minimum 1 year of related experience in Power BI</li><li>
Proficient ability to analyze complex datasets and implementing models to support business intelligence solutions.</li><li>
Efficient in creating interactive dashboards, reports, and data visualizations using Power BI.</li><li>
Knowledge and familiarity with programming languages such as Python for data analysis automation.</li><li>
Excellent verbal and written communication skills with a high level of attention to detail.</li></ul> 
Physical Demands &amp; Working Conditions:<ul><li>
Must be able to remain in a stationary position for 85% of the time</li><li>
Constantly operates a computer and other office productivity machinery</li><li>
This job operates in a professional office environment</li></ul> 
Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to various export control regulations. Applicants for these positions may be limited (by, for example, their countries of citizenship, country of origin, or immigration status) where required by law or governmental contact, and/or employment made contingent upon the issuance of appropriate governmental licensing.
MKS Inc. and its affiliates and subsidiaries (&ldquo;MKS&rdquo;) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.
MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: accommodationsatMKS@mksinst.com .
If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role</div>

Associate Data Scientist

Infosys

<div>
 <ul>
 <li>
 Should have the hands on experience to train computer vision and deep learning models to solve computer vision use cases.
 </li>
 <li>
 Should be able to create and optimize algorithms for image and video analysis, for tasks such as object detection, image recognition, segmentation and video analytics.
 </li>
 <li>
 Should have expertise on different object tracking algorithms and track multi objects in multi cameras.
 </li>
 <li>
 Should be able to articulate camera calibration and region of interest extraction.
 </li>
 <li>
 Should have experience working on a large-scale implementation with 100+ stream in real time
 </li>
 <li>
 Fine-tune deep learning models like CNNs, vision transformers using frameworks such as Tensorflow, PyTorch, onnx etc.
 </li>
 <li>
 Should have used NVIDIA frameworks preferably like NGC models, TAO toolkit, metropolis Deep stream, triton server, and triton server to create inferencing pipeline and its deployment.
 </li>
 <li>
 Should have knowledge of optimizing inferencing pipelines to work on edge
 </li>
 <li>
 Should be able to perform necessary pre and post processing to optimize the computer vision models and evaluate it.
 </li>
 <li>
 Should have experience working on action recognition with temporal analysis
 </li>
 <li>
 Should have knowledge on pruning the model for deploying on edge/ARM devices
 </li>
 <li>
 Collaborate with Business and IT teams
 </li>
 </ul>
</div>

MKS Inc.

<div>
 
 A Day in Your Life at MKS:
 
 
 
 As a Manager, Supply Chain Data Scientist at the Digital Supply Chain Team, you will partner with Procurement, Category Management, Material Planning, Logistics, Finance, Lean Excellence, and IT to play in integral role in the Functional and Technical integration management of our supply chain digital enablement which aim to solve and improve some of the world&rsquo;s most complex supply chain constraints and challenges. You will effectively introduce advanced analytics capability and provide analyzing data approaches to develop and execute analytics projects to enable supply chain operations. Parameters that may be examined will include assessment of analytics solutions, enable analytics solutions, execute data analytics and modeling and generate detailed reports to provide insight to senior leaderships to support decision making. In this role, you will report to the Director, Digital Supply Chain Transformation.
 
 
 
 You Will Make an Impact By:
 
 
 
 <ul>
 <li>
 Enabling analytics platform, data integration, and modeling to provide analytics capability to advance supply chain maturity.
 </li>
 <li>
 Collecting, cleaning, and analyzing supply chain data from multiple sources, ensuring data integrity and accuracy.
 </li>
 <li>
 Developing and maintaining dashboards and reports using Power BI or reporting tools to provide actionable insights into supply chain operations.
 </li>
 <li>
 Conducting detailed analysis to assess business operations data and supply chain performance.
 </li>
 <li>
 Collaborating with cross-functional teams, including Sourcing, Category Management, Procurement, Material Planning, Logistics, Finance, and IT, to identify and mitigate supply chain constraints, and to support Robotic Process Automation (RPA) initiatives.
 </li>
 <li>
 Contributing to data science and anayltics projects for supply chain optimization, leveraging predictive/prescriptive analytics and machine learning, for instance.
 </li>
 <li>
 Communicating risk mitigation action plans and improvement ideas to executive stakeholders.
 </li>
 <li>
 Travel Requirements: Up to 15 % of Travel is required.
 
 
 </li>
 </ul>
 
 Skills You Bring:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, computer science, supply chain management or equivalent experience
 </li>
 <li>
 8+ years of related experience
 </li>
 <li>
 Detailed knowledge of analytics and data analysis tools, platform, and solutions, with a strong proficiency in Power BI, Power Automate, Excel, and SQL. Experience with other BI tools (e.g., Tableau) is a plus.
 </li>
 <li>
 Experience with data science techniques and tools (e.g., AWS, Python, R, Azure AI Studio, machine learning frameworks) and extended knowledge of Gen AI application.
 </li>
 <li>
 Experience with data science techniques and tools (e.g., Python, R, machine learning frameworks) is highly desired.
 </li>
 <li>
 Proven communication skills to engage with senior leadership level.
 </li>
 <li>
 Ability to collaborate with global and cross-functional teams, with a proven track record of taking ownership of issues.
 </li>
 <li>
 Knowledge of or ability to learn details of the semiconductor industry.
 </li>
 <li>
 Proficiency in English.
 
 
 </li>
 </ul>
 
 Preferred Skills: (Optional)
 
 
 
 <ul>
 <li>
 Extended business knowledge and business analytics experience with end-to-end supply chain operations are highly desired.
 </li>
 <li>
 Extended ERP (SAP, Oracle, or others) and advanced planning solution skills and experience are highly desired
 </li>
 <li>
 Experience manage global projects with Agile approaches from initiation to implementations.
 
 
 </li>
 </ul>
 
 Physical Demands and Working Conditions:
 
 
 
 <ul>
 <li>
 Perform activities such as sitting, standing, or typing for extended periods of time
 </li>
 <li>
 Ability to remain in a stationary position for 90% of the time
 </li>
 <li>
 Must be able to communicate information and ideas so others will understand
 </li>
 <li>
 Must be able to exchange accurate information
 </li>
 <li>
 The ability to observe documents and details at close range (within a few feet of the observer)
 </li>
 <li>
 Operates in a [professional office and/or laboratory/manufacturing] environment
 </li>
 <li>
 Constantly operates a computer and other office productivity machinery
 </li>
 <li>
 Ability to observe documents and details at close range (within a few feet of the observer)
 </li>
 </ul>
</div>

Principal Supply Chain Data Scientist

<div>
 Responsibilities
 
 
 <ul>
 <li>
 Anchor ML development track in a client project
 </li>
 <li>
 Data collection, profiling, EDA &amp; data preparation
 </li>
 <li>
 AI Model development, experimentation, tuning &amp; validation
 </li>
 <li>
 Present findings to business users &amp; project management teams
 </li>
 <li>
 Propose ML based solution approaches &amp; estimates for new use cases
 </li>
 <li>
 Contribute to AI based modules in Infosys solutions development
 </li>
 <li>
 Explore new advances in AI continuously and execute PoCs
 </li>
 <li>
 Mentoring &ndash; Guide junior team members &amp; evangelize AI in organization Technical skills
 </li>
 <li>
 Programming: Python, R, SQL
 </li>
 <li>
 ML algorithms:
 </li>
 <li>
 Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI
 </li>
 <li>
 AI domains - NLP, speech, computer vision, structured data
 </li>
 <li>
 Learning patterns &ndash; supervised, unsupervised, reinforcement learning
 </li>
 <li>
 Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
 </li>
 <li>
 Knowledge of different Model fine tuning approaches for Large models
 </li>
 <li>
 Knowledge of datasets, pre-built models available in open community and 3rd party providers
 </li>
 <li>
 Knowledge of software development &amp; architectures
 </li>
 <li>
 Knowledge of hyperscalers &amp; their AI capabilities &ndash; Azure, AWS, GCP
 </li>
 <li>
 Knowledge of Model Quantization and Pruning
 </li>
 </ul>
</div>

Senior Analyst - Data Science

Evalueserve India

<div>
 Elevate Your Impact Through Innovation and Learning
 
 
 Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work&reg; in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.
 
 
 
 About Data Analytics (DA)
 
 
 
 Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.
 
 
 What you will be doing at Evalueserve
 
 
 <ul>
 <li>
 Expertise in Data Analysis, Statistics, Computer Vision, AI &amp; Machine Learning Concepts
 </li>
 <li>
 Unflinching zeal to learn, to try out Proof of Technology for new and emerging AI/ML
 </li>
 <li>
 Design and develop applications powered by Large Language Models (LLMs) like GPT-4, Claude, Gemini, and open-source models (LLaMA, Mistral, etc.)
 </li>
 <li>
 Implement RAG pipelines using LangChain and LangGraph for production-ready applications.
 </li>
 <li>
 Build and orchestrate autonomous and tool-using LLM agents.
 </li>
 <li>
 Integrate with vector databases (e.g., Pinecone, Chroma, Weaviate, FAISS) for semantic search and memory storage.
 </li>
 <li>
 Use tools like OpenAI Function Calling, React, or LangGraph Agents for decision-based workflows.
 </li>
 <li>
 Deploy applications using cloud platforms (Azure, AWS, GCP) with APIs, microservices, or serverless functions.
 </li>
 <li>
 Collaborate with product and design teams to develop chatbots, copilots, and multimodal interfaces.
 </li>
 <li>
 Monitor performance, cost, latency, and evaluate prompt effectiveness through prompt engineering best practices.
 </li>
 <li>
 Fine-tune, quantize, or use adapters (LoRA, PEFT) for open-source models where applicable.
 </li>
 <li>
 Stay up to date with the latest advancements in Gen AI, MLOps, and AI safety principles.
 
 
 </li>
 </ul>
 What we&rsquo;re Looking For: -
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 8-12 years of experience as a Data Scientist with strong skills in Python, NLP, Deep Learning, and Statistics.
 </li>
 <li>
 Hands-on experience with LangChain, LangGraph, and building LLM Agents for real-world AI applications.
 </li>
 <li>
 Strong Python skills with experience in deploying Gen AI apps using frameworks like FastAPI or Streamlit.
 </li>
 <li>
 Expertise in Retrieval-Augmented Generation (RAG) and working with vector databases like Pinecone, FAISS, or Chroma.
 </li>
 <li>
 Deep understanding of prompt engineering, OpenAI function calling, and chaining logic for dynamic interactions.
 </li>
 <li>
 Familiarity with cloud platforms such as Azure and AWS and deploying models to these platforms.
 </li>
 <li>
 Strong problem-solving and analytical skills with excellent communication and presentation skills.
 
 
 </li>
 </ul>
 Follow us on https://www.linkedin.com/company/evalueserve/
 
 
 Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud.
 
 
 How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities.
 
 
 Know more about how Evalueserve has climbed 16 places on the &ldquo;50 Best Firms for Data Scientists in 2024&rdquo;!
 
 
 Want to learn more about our culture and what it&rsquo;s like to work with us?
 
 
 
 
 Write to us at: careers@evalueserve.com
 
 
 
 
 
 
 
 
 Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
 
 
 
 
 Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.
 
 
 
 
</div>

Senior Consultant- Gen AI

Explore 51+ Data scientist in Bangalore this September. Find roles across top companies and apply now to boost your career.

51 data scientist jobs IN Bangalore

Data Scientist

Data Scientist

Associate Data Scientist

Data Scientist

Principal Supply Chain Data Scientist

Senior Analyst - Data Science

Senior Consultant- Gen AI