15342 Machine Learning Jobs

Join us as an AVP Quantitative Analytics Market Risk Modeler at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development , experience on coding languages like Python OR R OR C++, as well as job-specific skillsets. To be successful as an AVP Quantitative Analytics Market Risk Modeler you should have experience with: You must have knowledge of the following in FRTB, VaR, Expected Shortfall (ES), BASEL, Monte Carlo Simulation, Stress Testing, Exposure Modeling, CVA, Pricing Models, Desk Quants and Strategists, Black-Scholes, Economic Risk Capital, Incremental Risk Charge (IRC), Risk Factor Modelling (Interest Rates, Equities, Credit, Commodities etc.), Back-testing, Numerical Analysis, SR 11/7, SS1/23 Hands on coding experience (as a full-stack developer / agile developer etc. Preferable language is Python, C/C++ etc) Hand on experience in Model Development and/or Model Validation (core development experience preferred). Desired Qualification ; Advanced Technical Degree (Master's / PhD / similar or equivalents) - Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, Financial Mathematics Certification - GARP-FRM, PRM, CQF, AI/ML Courses, Coding and Computer Programming This role is based out of Mumbai. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Role Overview As a L3 Data Scientist, you will lead the design, development, and deployment of advanced machine learning and GenAI applications. You will be responsible for end-to-end ownership of model development, fine-tuning LLMs, and building intelligent systems that integrate seamlessly into client products. This role combines deep technical expertise, product thinking, and the ability to mentor and influence others. This is a senior individual contributor role, ideal for professionals who thrive on solving ambiguous, high-impact problems using a blend of classical ML and cutting-edge LLM technologies. Key Responsibilities ML & Data Science Leadership Lead the development of robust machine learning solutions across supervised, unsupervised, and time-series problems. Architect and own pipelines for feature engineering, training, evaluation, and monitoring of models. Apply advanced experimentation techniques, error analysis, and iterative improvements to meet business KPIs. LLM & GenAI System Development Design and implement GenAI-powered solutions such as copilots, document processors, summarization agents, and intelligent assistants. Build advanced workflows using prompt engineering, RAG pipelines, context management, and hybrid model chaining. Lead LLM fine-tuning efforts using instruction tuning, parameter-efficient methods (LoRA, QLoRA, PEFT), or full-model fine-tuning for domain-specific use cases. Evaluate trade-offs across LLM providers (open-source vs API-based) and optimize for performance, cost, and latency. Collaboration & Impact Partner with engineering, product, and business teams to shape technical direction and translate insights into deployed solutions. Contribute to pre-sales activities, PoC development, and client workshops as a technical SME. Drive technical quality, review deliverables, and ensure adherence to best practices across the data science lifecycle. Mentorship & Technical Leadership Mentor junior and mid-level data scientists on modeling approaches, GenAI architecture, and clean experimentation workflows. Lead internal sessions on advancements in ML/LLM ecosystems and guide capability development within the team. Required Skills & Qualifications 6–9 years of hands-on experience in data science, machine learning, or AI product development. Strong Python programming skills with expertise in libraries like pandas, NumPy, scikit-learn, XGBoost/LightGBM. Proven track record of shipping ML models to production (batch or real-time) in business-critical applications. Hands-on experience working with LLMs (OpenAI, Mistral, Claude, LLaMA) and frameworks like LangChain or LlamaIndex. Direct experience in fine-tuning LLMs using Hugging Face Transformers, PEFT, or custom pipelines. Strong understanding of prompt engineering, embeddings, similarity search, and vector databases (e.g., FAISS, Pinecone). Experience with Docker, Git, and cloud platforms (AWS, GCP, or Azure). Good-to-Have Exposure to ML/GenAI platform design and MLOps tools (e.g., MLflow, SageMaker, Weights & Biases). Experience with evaluation and safety frameworks for GenAI applications. Contributions to open-source projects or demonstrable personal projects in ML/LLMs. What You//'ll Love at here Solve real-world problems with ML and GenAI, not just toy models or prototypes. Collaborate with talented engineers, designers, and product thinkers in a flat, high-ownership environment. Work across industries and domains while experimenting with the latest in LLMs and AI tooling. Shape the future of AI development within a fast-growing, impact-focused team.

Deliver lectures and conduct laboratory sessions for undergraduate and/or postgraduate students. Develop course materials, syllabi, lesson plans, and assignments in accordance with academic guidelines. Engage in academic advising and student mentoring. Conduct research in areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, IoT, or other emerging domains. Publish research papers in reputed journals and present at conferences. Participate in curriculum development and accreditation processes (NAAC/NBA). Supervise student projects, internships, and dissertations. Collaborate with colleagues for interdisciplinary teaching and research. Participate in departmental and institutional committees, workshops, and training programs. Organize and support co-curricular and extra-curricular student activities. Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Work Location: In person

Your Role Placed at the heart of Gensler’s People + Process + Technology the Global Design Technology Studio drives the firm’s digital transformation of our creative and project delivery practices throughout the globe. Our ultimate outcome is to co-create a design technology ecosystem that enables our practitioners to leverage the most advanced methodologies and technological solutions reaching a new level of creativity and delivering the most impactful designs to our clients. So, if you are a disruptive technologist that’s ready to change the world with big and impactful ideas, we want you to join our growing and innovative award-winning team! The Global Design Technology Studio at Gensler is looking for a Data Scientist to join our team. In this role you will bring crucial leadership and capability into our Design Technology team that is delivering innovative solutions connecting the data and outcomes from our designs to our practitioners, projects, and clients through a highly creative and collaborative culture. You will be required to demonstrate strong technical aptitude with traditional and cutting-edge methodologies for the collection, management, analysis, synthesis, and assessment of large datasets with an objective of identifying trends, insights, and opportunities for improvement. What You Will Do Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data originating and extracted from data-rich design authoring tools Leverage the outcomes of trained data models to explore trends and define insights in alignment with business and client needs Define and develop data pipelines in MS Azure to deliver data and insights via Web APIs into data visualization platforms and other Gensler IP in partnership with Data Engineering colleagues Collaborate with studio colleagues on strategies & innovative solutions for driving insights back into early stages of the design process Research opportunities and implement the integration and correlation of additional datasets such as geospatial data, proprietary data, and operational data Research emerging technologies in the AEC space and make recommendations on build vs. buy strategies Support R&D of future Strategic Insights initiatives Support a fast-growing data-driven design community of practitioners in the firm Support and drive technical upskilling of project teams to implement sophisticated PowerBI solutions on projects Participate in the convergence of multiple aspects of our overall digital strategy with data and insights generation in alignment with business goals Your Qualifications Bachelor's or Master’s degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science. 10+ years of strong practical experience in statistical analysis, machine learning, and / or predictive modeling (AEC Industry experience a plus) Ability to work in a highly creative environment and collaborate on solutions to complex problems Track record of staying current with best practices and new technology solutions Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases Proficiency in SQL, Python and R (or equivalent) programming languages for data manipulation, analysis, and model development Experience with various machine learning & generative ai technologies, performance evaluation and creating end-to-end ML pipelines in Azure Experience with generative AI models & development frameworks, specifically around LLMs and NLP Understanding of Data governance practices, data privacy regulations, and security best practices Proficiency with Data Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and / or streamlit. Experience with using Git + source control in a team environment Experience with Microsoft Fabric is a plus Experience with development of serverless compute services like Azure Functions a plus Computer Vision experience is a plus Experience in REST API service development a plus C# as well as event-driven architectures is a plus Azure (or other cloud provider) certifications a plus Life at Gensler As a people-first organization, we are as committed to enjoying life as we are to delivering best-in-class design. From internal design competitions to research grants to “Well-being Week,” our offices reflect our people’s diverse interests. We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability and wellness programs. We also offer profit sharing and twice annual bonus opportunities. As part of the firm’s commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future. #LI-MR1

Job Summary As a Data Scientist specializing in Language Models (LLMs) at Bluphlux, you will play a pivotal role in transforming the recruitment industry. You will leverage advanced LLMs to enhance our AI-driven recruitment platform, ensuring that our clients receive the most accurate and efficient candidate matching possible. Key Responsibilities Develop and optimize language models to improve resume and job description matching accuracy. Collaborate with cross-functional teams to integrate LLMs into our recruitment platform. Analyze large datasets to extract meaningful insights and improve model performance. Stay updated with the latest advancements in AI and machine learning to ensure our technology remains cutting-edge. Contribute to the development of patented AI algorithms that drive our recruitment solutions. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying language models. Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Experience with natural language processing (NLP) techniques and tools. Excellent problem-solving skills and attention to detail. Preferred Skills PhD in a relevant field. Experience with recruitment or HR technology. Familiarity with cloud platforms such as AWS or Azure. Strong communication skills and ability to work in a team environment.

Job Overview & Responsibilities We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. This role requires not only technical proficiency but also excellent communication skills and the ability to guide and upskill junior team members. Exposure to cutting-edge concepts like multi-agent collaboration, Memory-Context-Planning (MCP), and agent-to-agent workflows is highly desirable. ● Lead the design and development of GenAI/LLM-based products and solutions. ● Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. ● Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. Nice to Have ● Experience with cloud platforms (AWS/GCP/Azure) for deploying LLMs at scale. ● Knowledge of ethical AI practices, bias mitigation, and model interpretability. ● Background in machine learning, natural language processing (NLP), or AI research. ● Publications or contributions to open-source LLM projects are a plus. Perks & Benefits ● Competitive Compensation and Benefits ● Half Yearly Appraisals ● Friendly Environment ● Work-life Balance ● 5 days working ● Flexible office timings ● Employee-friendly leave policies ● Work from Home (with prior approvals) ● Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc. ● Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. ● Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. ● Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. Required Skills ● 5+ years of total software development experience with a strong foundation in Python. ● 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. ● Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc. ● Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. ● Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). ● Exposure to agent frameworks and multi-agent orchestration. ● Excellent written and verbal communication skills. ● Proven ability to lead and mentor team members on technical and architectural decisions Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹1,083,333.00 per month Work Location: In person

JOB DESCRIPTION Are you ready to elevate your career in a fast-paced, innovative environment? You will have the opportunity to utilize and keep developing your skills while contributing to a team that values growth and collaboration. Join us and be part of a company that supports your professional journey and offers exciting challenges. As a Trading Services Associate I within JPMorganChase, you will play a pivotal role in the seamless execution of trade activities, from order entry to settlement. While still developing, your expertise in market products and understanding of automation technologies will be instrumental in optimizing our trading services. You will be expected to leverage your proficiency in change management and continuous improvement to enhance the efficiency and resilience of our operating platform Your role will also allow you to keep developing your relationships with internal stakeholders, presenting insights to senior management, and driving process improvements. Your decisions will contribute and impact on short-term team and department goals, and you will often guide others in their work activities, contributing to the overall success of our trading services. Job responsibilities Support daily trading operations by ensuring timely execution and accuracy of trades, while collaborating with traders and team members to resolve discrepancies. Monitor and reconcile trading accounts, driving the development and implementation of process improvements to enhance operational efficiency. Deliver exceptional service to internal and external clients, maintaining up-to-date knowledge of market trends, trading regulations, and ensuring compliance with company policies and industry standards. Prepare and analyze trading reports for management review, contributing to strategic discussions in team meetings and handling ad-hoc projects and tasks as needed. Assist in training and mentoring junior team members, fostering a collaborative and growth-oriented environment. Utilize strong analytical and problem-solving skills to support strategic initiatives and drive continuous improvement. Required qualifications, capabilities, and skills Proven experience in trading or financial services, demonstrating a strong foundation in industry practices and operations. Strong analytical and problem-solving skills, enabling effective decision-making and issue resolution. Excellent communication and interpersonal abilities, facilitating clear and productive interactions with colleagues and stakeholders. Proficiency in Microsoft Office Suite, particularly Excel, complemented by advanced digital literacy for integrating innovative technologies in trade services. Capability to work effectively in fast-paced environments, maintaining a detail-oriented approach and strong organizational skills to manage multiple tasks and adapt to changing priorities. Demonstrated ability to collaborate effectively in team settings, with a solid understanding of trading systems and financial markets. Strong commitment to delivering high-quality results, with a focus on continuous improvement and adaptability. Preferred qualifications, capabilities, and skills Proficient in using trading platforms and software, with hands-on experience in navigating and optimizing these tools. Knowledgeable about regulatory requirements in the trading industry, ensuring compliance and adherence to industry standards. Skilled in leveraging digital literacy to adopt and integrate innovative technologies, enhancing trade services and operational efficiency. Capable of utilizing AI and machine learning to enhance trade service processes and improve decision-making, driving data-driven insights and outcomes. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’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’ and employees’ 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 J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. System Administrator - AI/ML Platform: We are looking for a detail-oriented and technically proficient AI/ML Cloud Platform Administrator to manage, monitor, and secure our cloud-based platforms supporting machine learning and data science workloads. This role requires deep familiarity with both AWS and Azure cloud services, and strong experience in platform configuration, resource provisioning, access management, and operational automation. You will work closely with data scientists, MLOps engineers, and cloud security teams to ensure high availability, compliance, and performance of our AI/ML platforms. Your responsibilities will include: Provision, configure, and maintain ML infrastructure on AWS (e.g., SageMaker, Bedrock, EKS, EC2, S3) and Azure (e.g., Azure Foundry, Azure ML, AKS, ADF, Blob Storage) Manage cloud resources (VMs, containers, networking, storage) to support distributed ML workflows Deploy and Manage the open source orchestration ML Frameworks such as LangChain and LangGraph Implement RBAC, IAM policies, Azure AD, and Key Vault configurations to manage secure access. Monitor security events, handle vulnerabilities, and ensure data encryption and compliance (e.g., ISO, HIPAA, GDPR) Monitor and optimize performance of ML services, containers, and jobs Set up observability stacks using Fiddler , CloudWatch, Azure Monitor, Grafana, Prometheus, or ELK . Manage and troubleshoot issues related to container orchestration (Docker, Kubernetes – EKS/AKS) Use Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Bicep to automate environment provisioning Collaborate with MLOps teams to automate deployment pipelines and model operationalization Implement lifecycle policies, quotas, and data backups for storage optimization Required Qualification: Bachelor's/Master’s in Computer Science, Engineering, or related discipline 7 years in cloud administration, with 2+ years supporting AI/ML or data platforms Proven hands-on experience with both AWS or Azure Proficient in Terraform, Docker, Kubernetes (AKS/EKS), Git, Python or Bash scripting Security Practices: IAM, RBAC, encryption standards, VPC/network setup Requisition ID: 611331 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

DESCRIPTION We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred qualifications: Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. BASIC QUALIFICATIONS Basic qualifications: Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred qualifications: Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. BASIC QUALIFICATIONS Basic qualifications: Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Internship Opportunity: AI-Powered Digital Strategy Intern Location: On-site – Chennai Company: Reach Skyline Role Title: AI-Powered Digital Strategy Intern About Reach Skyline: Reach Skyline is a forward-thinking consulting and marketing company based in Chennai, delivering smart business solutions through a fusion of strategy, creativity, and AI-driven technology. We work with purpose and precision, helping brands grow and operate more effectively in a digital-first world. We strongly believe in empowering students who bring fresh perspectives, curiosity, and energy into everything they do. If you're pursuing an AI-related course and want to apply your learning in real-time, this is your opportunity. What You’ll Be Doing: Support digital marketing projects using AI tools and automation platforms . Assist in data structuring, cleaning, and reporting . Help track campaign performance and contribute to optimizations. Maintain internal databases to ensure data accuracy and accessibility. Research and suggest AI-driven tools or practices that enhance operations. Collaborate with teams to integrate AI-driven improvements across workflows. Who Can Apply: Students currently pursuing AI, Data Science, Machine Learning, Computer Science , or similar courses. Keen interest in exploring AI applications in marketing and business operations . Comfortable with tools like Google Sheets, Excel, Python, or AI-based platforms . Strong analytical mindset, willingness to learn, and collaborative attitude. Internship Details: Type: On-site Location: Reach Skyline65, III Floor, Eldams Road,Near Punjab National Bank,Sriram Colony, Vannia Teynampet,Lubdhi Colony, Teynampet,Chennai, Tamil Nadu – 600018 Working Days: Monday to Saturday Timings: 10:00 AM to 6:00 PM Duration: 3 to 6 months First-hand experience in using AI for real-world digital projects. Mentorship from experienced professionals across departments. Internship Certificate and performance-based Letter of Recommendation . Friendly work environment that encourages growth and learning. A strong foundation in AI-powered business operations . Job Types: Full-time, Fresher, Internship, Contractual / Temporary, Freelance, Volunteer Contract length: 3 months Pay: ₹5,000.00 per month Education: Bachelor's (Required) Location: Teynampet, Chennai, Tamil Nadu (Required) Willingness to travel: 100% (Preferred) Work Location: In person

Location- Malad-W Mindspace Contact- 8652656202-HR The ideal candidate will possess extensive experience in .NET technologies, Python, and AI applications, you will play a pivotal role in designing, developing, and implementing cutting-edge automation solutions that transform traditional medical billing processes. Key Responsibilities: Develop and Implement Automation Solutions: Design and develop applications using .NET Framework with C#, .NET Core MVC, and .NET Core Web API. Create scalable RESTful APIs and microservices to integrate with existing systems. Utilize Python and FastAPI to build efficient backend services. Write optimized SQL queries for integration with other applications. Qualifications and Experience: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5-6years of proven experience in the relevant technologies mentioned: .NET Framework with C#. .NET Core MVC and .NET Core Web API. .Knowledge of AI & automation will be an added advantage SQL database design and management. Python programming and FastAPI framework. Solid understanding of AI applications and machine learning concepts. Strong problem-solving skills and attention to detail. Excellent verbal and written communication skills. Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,300,000.00 per year Benefits: Health insurance Provident Fund Experience: .NET Core: 5 years (Required)

Key Responsibilities: Research and evaluate the latest AI tools, platforms, and trends. Identify and recommend AI tools suitable for business operations, digital marketing, content creation, automation, etc. Create easy-to-understand documentation and tutorials for selected tools. Conduct hands-on training sessions for staff and clients on using AI tools effectively. Assist in developing basic Python scripts or tools to automate tasks. Collaborate with the core team to integrate AI solutions into existing workflows. Stay up to date with developments in AI, machine learning, and automation. Skills Required: Basic to intermediate knowledge of AI tools (e.g., ChatGPT, Notion AI, Midjourney, Runway ML, Zapier, etc.). Good understanding of Python programming. Strong research and analytical skills. Excellent communication and presentation abilities. Passion for teaching and simplifying complex tools for different users. Self-motivated, proactive, and eager to learn. Job Types: Full-time, Part-time, Internship Pay: Up to ₹5,000.00 per month Work Location: In person

Data Science Trainer( One month training before job) Location: Kochi Type: Full-time What You'll Do: Deliver engaging and interactive training sessions Guide students through real-time projects and hands-on assignments Design and update course content based on current industry trends Provide personalized mentorship and feedback Support placement preparation (interviews, resume building, etc.) Why Join Design-Pods? Opportunity to train aspiring data scientists Work with real-time data and live projects Be part of a supportive and innovative team Flexible working options Competitive compensation 100% job assurance once the one month training is completed Job Type: Full-time Work Location: In person Application Deadline: 10/08/2025 Expected Start Date: 11/08/2025

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to create exceptional and detailed architectural application design and provide thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ͏ Do 1. Develop architectural application for the new deals/ major change requests in existing deals a. Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. b. Manages application assets and directs the development efforts within an enterprise to improve solution delivery and agility c. Guides how to construct and assemble application components and services to support solution architecture and application development d. Maintains the frameworks and artefacts used in the implementation of an application, with reference to the systematic architecture of the overall application portfolio e. Responsible for application architecture paradigms such as service-oriented architecture (SOA) and, more specifically, microservices, ensuring business achieve agility and scalability for a faster time to market ͏ f. Provide solution of RFP’s received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration design framework/ architecture Depending on the client’s need with particular standards and technology stacks create complete RFPs Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Tracks industry and application trends and relates these to planning current and future IT needs g. Provides technical and strategic inputs during the project planning phase in the form of technical architectural designs and recommendations h. Account mining to find opportunities in the existing clients i. Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture. j. Identifies implementation risks and potential impacts. k. Create new revenue streams within applications as APIs that can be leveraged by clients l. Bring knowledge of automation in application by embracing Agile and dev-ops principles to reduce manual part ͏ 2. Understanding application requirements and design a standardize application a. Creating Intellectual Property in forms of services, patterns, models and organizational approaches b. Designing patterns, best practices and reusable applications that can be used for future references c. Ensure system capabilities are consumed by system components and set criteria for evaluating technical and business value in terms of Tolerate, Invest, Migrate and Eliminate d. Provide platform to create standardize tools, uniform design and techniques are maintained to reduce costs of maintenance e. Coordinating input on risks, costs and opportunities for concepts f. Developing customised applications for the customers aligned with their needs g. Perform design and code reviews thoroughly on regular basis, keeping in mind the security measures h. Understanding design and production procedures and standards to create prototypes and finished products i. Work closely with systems analysts, software developers, data managers and other team members to ensure successful production of application software j. Offer viable solutions for various systems and architectures to different types of businesses k. Seamless integration of new and existing systems to eliminate potential problems and maintain data structure and bring value in terms of development l. Transforming all applications into digital form and implement and evolve around mesh app and service architecture that support new technologies like IOT, blockchain, machine learning, automation, BOTS etc ͏ m. Cloud Transformation: (Migration) Understanding non-functional requirements Producing artefacts such as deployment architecture, interface catalogue Identify internal and external dependency, vendor and internal IT management Support build and testing team n. Cloud Transformation: (Modernization) Understanding and Defining target architecture in Integration space Assessing project pipeline / demand and align to target architecture Technical support of delivery team in terms and POC and technical guidance o. Keep Up-to-date with the latest technologies in the market Mandatory Skills: DevOps. Experience: 8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Trainer/Faculty profile and the candidate should be ready to work as a Trainer. Should have strong knowledge in Data Science, Python and Machine Learning. Needs to train in- house students, beginners and professionals on Data Science, Machine Learning and Python. Designing training programmer based on the needs of the organization. Must be presentable and smart and should have very good communication skills. Developing, understanding and implementing different methods of measuring the effectiveness of training programs Delivering lectures & Conducting online lab sessions. Coordinate with different. teams regarding TNA(Training Need Analysis) Revising technical training programs according to organizational requirements Observe and evaluate the results of training programs Determine the overall effectiveness of programs and make improvements. *Only Experience candidates can apply* Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Paid sick time Paid time off Work from home Experience: Teaching: 2 years (Preferred) Work Location: In person

About HEAPS Health Solutions : HEAPS Health Solutions is a health tech company based out of Bangalore, India with offices in Mumbai, Hyderabad and Delhi. HEAPS is a Software as a Service (SAAS) provider that leverages advanced Data Analytics, Artificial Intelligence and Machine Learning to revolutionize the healthcare delivery and payments model by building a “Healthcare Network” and a “Value-Based Care” model. We specialise in Patient Care-Coordination modules for cohorts of people with different needs. Responsibilities: Engage with patients via tele-counselling to understand their medical history, current health status, medications, lab reports, and other needs. Identify additional patient requirements such as medications or lab tests. Encourage patients to share complete medical history and check for any deviations from the prescribed treatment plan. Provide emotional and psychosocial support for patients dealing with chronic, acute, or terminal illnesses. Monitor patient progress and guide them appropriately if alarming symptoms are reported. Address patient queries using predefined FAQs. Assess patient compliance with labs, medications, and diet; coach them to follow the prescribed plan. Create and implement personalized care plans for high-risk patients. Offer continuous support, education, and motivation through calls and messages. Educate on lifestyle changes, risk reduction, medication adherence, and self-care. Share wellness and diet tips as needed. Identify early signs of deviation from care plans. Collaborate with the Program Manager to identify trends, gather insights, and improve patient compliance. Qualification: Minimum Bachelor’s Degree in Clinical/Medico/Biology background. (Preferred Pharmacists, Registered Nurses, Clinical Psychologists, Dietitians, Nutritionists, or such related fields.) Mandatory Language: English, Hindi, + Regional languages is a plus point Experience : Minimum 6 months or 1 year of experience in wellness coaching/health coaching or care management process Experience in diet counselling or nutrition management is a plus point Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Ability to commute/relocate: Kopar Khairane, Navi Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Language: English (Required) Willingness to travel: 100% (Required) Work Location: In person

We are seeking a talented and detail-oriented Data Analyst to join our team. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and proficiency in data visualization tools such as Looker Studio. Additionally, the candidate should have experience in Google Apps Script to automate data processes and enhance data analysis capabilities. The Data Analyst will play a crucial role in interpreting data, generating insights, and providing actionable recommendations to drive business decisions. Responsibilities: 1. Extract, clean, and analyze data from various sources to identify trends, patterns, and insights. 2. Develop and maintain reports, dashboards, and visualizations using Looker Studio to present data in a clear and concise manner. 3. Collaborate with cross-functional teams to understand business requirements and translate them into data analysis and reporting solutions. 4. Utilize Google Apps Script to automate repetitive tasks, streamline data processes, and enhance data analysis capabilities. 5. Perform ad-hoc analysis and data mining to support business initiatives and strategic decision-making. 6. Identify areas for process improvement and optimization based on data-driven insights. 7. Ensure data accuracy, consistency, and integrity by implementing data quality checks and validation processes. 8. Stay up-to-date with industry trends, best practices, and emerging technologies in data analytics and visualization. 9. Communicate findings and recommendations to stakeholders in a clear and concise manner through written reports and presentations. 10. Collaborate with IT and engineering teams to optimize data infrastructure and ensure data accessibility and reliability. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field; Master's degree preferred. Proven experience as a Data Analyst or similar role, with expertise in data analysis, visualization, and interpretation. Proficiency in Looker Studio or similar data visualization tools. Strong programming skills, particularly in Google Apps Script, Python, or R. Experience working with SQL for data extraction and manipulation. Familiarity with statistical analysis techniques and machine learning concepts is a plus. Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Strong attention to detail and accuracy in all work tasks. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Ability to work independently and manage multiple projects simultaneously in a fast-paced environment. Job Type: Full-time Pay: ₹15,000.00 - ₹18,000.00 per month Benefits: Provident Fund Application Question(s): What is your current monthly in hand salary ? What is your expected monthly in hand salary? Are you comfortable in 15k-18k monthly in hand salry? Do you know advanced excel (VLOOK UP, PIVOT, FORMULAS)? Do you have experience in google apps script? If yes then how many years? How many years of experience do you have in Data Analysis? Are you ok for Cantonment Road, Cuttack, Odisha location? What is your age? What is your notice period? Work Location: In person

LivetechINDIA is an ISO 9001:2008 certified training institute with centres in Andheri and Panvel, Mumbai, backed by over three decades of experience in corporate and online education. Specializing in a broad array of technical fields—including Python programming, machine learning, AI, data science, data analytics, software testing, embedded systems, and IoT. Key Responsibilities: Deliver engaging training sessions on Data Science , Python , Machine Learning , and AI . Facilitate 100% practical, case-study oriented learning, complete with real-time projects and hands-on exercises. Support profile-building , provide interview preparation , and assist students throughout their learning journey. Excellent communication and teaching skills—preferably with prior training or tutor experience Job Type: Full-time Pay: ₹300,000.00 - ₹600,000.00 per year Application Question(s): What is your current salary? What is your notice period? Work Location: In person

As a Data Scientist at TransOrg Analytics, you will have the opportunity to be part of a team that specializes in Data Science, Data Engineering, and Generative AI. We provide advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC, and the Middle East. Our focus is on leveraging data science to streamline, optimize, and accelerate our clients" businesses. We are looking for individuals who have a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. The ideal candidate should have 3-5 years of relevant experience in data analysis or a related role. Proficiency in data pre-processing and manipulation using Python or SQL is required. Additionally, experience in statistical analysis and modeling techniques such as regression, classification, and clustering is essential. Experience with machine learning and deep learning frameworks and libraries is a plus. Familiarity with data processing tools and frameworks, as well as data visualization tools like Tableau or Power BI, is highly desirable. The successful candidate should have a proven track record of managing data project delivery, meeting deadlines, managing stakeholder expectations, and producing clear deliverables. Strong problem-solving skills with a keen attention to detail are crucial for this role. The ability to think critically and provide data-backed insights is key. Excellent communication skills, both verbal and written, are necessary to effectively collaborate with team members and stakeholders. An understanding of Cloud Platforms such as Azure, AWS, or GCP is beneficial, along with the ability to utilize them for developing, training, and testing deep learning models. Familiarity with cloud-based data warehousing platforms like Snowflake is also advantageous. If you are passionate about data science, analytics, and driving business impact through data-driven insights, we invite you to explore the opportunity of joining our team at TransOrg Analytics. Visit our website at www.transorg.com to learn more about us and our work.,

As a Senior Data Scientist specializing in Machine Learning at UnifyCX, you will play a crucial role in designing and optimizing domain-aware models for language and audio tasks using a combination of classical ML and deep learning techniques. Your responsibilities will include collaborating with a cross-functional team to develop strategies for acquiring high-quality training data and evaluating model performance effectively. In addition to building and refining ML pipelines, you will take the lead on analytics, dashboarding, and visualizations to convey insights and facilitate strategic decision-making. You will also engage in proof-of-concept experiments, ensure robust documentation, and promote best practices for reproducible research and version control. To be successful in this role, you should possess a Master's degree in Computer Science, Machine Learning, Statistics, or a related field, along with a minimum of 3 years of experience in constructing practical machine learning models for industry-specific applications in areas such as language, audio, image, or time series tasks. Proficiency in Python is a must, along with familiarity with SQL or similar querying languages, as well as data visualization and dashboarding tools like Tableau or Power BI. A solid understanding of deep learning architectures (such as Transformers, RNNs) and classical techniques (like boosting and bagging) is also essential. Furthermore, having a PhD in Computer Science, Machine Learning, or related disciplines would be a plus. Knowledge of privacy-preserving ML techniques, bias detection, content filtering, and other safeguards for ensuring the ethical deployment of AI in regulated industries will be advantageous. Any contributions to open-source AI projects or notable academic publications will be viewed favorably. UnifyCX is an emerging Global Business Process Outsourcing company with a widespread presence across various countries, including the U.S., Colombia, Dominican Republic, India, Jamaica, Honduras, and the Philippines. Our organization offers tailored contact center services, business processing solutions, and technology outsourcing services to clients worldwide. Over nearly two decades, UnifyCX has evolved from a small team to a global entity with team members distributed globally to cater to our international clientele. At UnifyCX, we harness advanced AI technologies to enhance the customer experience (CX) and drive operational efficiency for our clients. Our dedication to innovation positions us as a reliable partner, empowering businesses across diverse sectors to meet the dynamic demands of the global market with agility and accuracy. UnifyCX is a certified minority-owned business and an Equal Opportunity Employer that values and embraces diversity in its workforce.,

As a Data Engineer, you will be responsible for building data pipelines, Big data processing solutions, and data lake infrastructure using various Big data and ETL technologies. You will assemble and process large, complex data sets to meet both functional and non-functional business requirements. ETL tasks will involve extracting data from a variety of sources such as MongoDB, S3, Server-to-Server, Kafka, and processing it using SQL and big data technologies. Additionally, you will develop analytical tools to offer actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Your role will also include constructing interactive and ad-hoc query self-serve tools for analytics use cases. Furthermore, you will be responsible for creating data models and data schema to ensure performance, scalability, and meet functional requirements. You will build processes that support data transformation, metadata, dependency, and workflow management. As part of your responsibilities, you will conduct research, experiments, and prototypes with new tools/technologies to ensure their successful implementation. **Must-Have Skills:** - Strong proficiency in Python/Scala - Experience with Big data technologies such as Spark, Hadoop, Athena/Presto, Redshift, Kafka, etc. - Proficiency in various file formats like parquet, JSON, Avro, orc, etc. - Familiarity with workflow management tools like Airflow - Experience in batch processing, streaming, and message queues - Knowledge of visualization tools such as Redash, Tableau, Kibana - Working experience with structured and unstructured data sets - Strong problem-solving skills **Good-to-Have Skills:** - Exposure to NoSQL databases like MongoDB - Familiarity with Cloud platforms like AWS, GCP, etc. - Understanding of Microservices architecture - Knowledge of Machine learning techniques This role is full-time and offers full benefits. The company is headquartered in the San Francisco Bay Area with its India headquarters located in Bengaluru.,