associate scientist, data sourcing & solutions Jobs in Bangalore India

associate scientist, data sourcing & solutions

associate, ml data operations, go-ai operations Jobs in Bangalore India

associate, ml data operations, go-ai operations

business analyst - data Jobs in Bangalore India

business analyst - data

data engineer

data scientist

associate scientist data sourcing solutions

AXA XL

<div>
 
 Specialist, Data Sourcing Solutions
 
 
 
 Gurgaon/Bangalore, India
 
 
 AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable - enabling AXA XL&rsquo;s executive leadership team to maximize benefits and facilitate sustained dynamic advantage. Our Innovation, Data &amp; Analytics function is focused on driving innovation through optimizing how we leverage data to drive strategy and differentiate ourselves from others. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking a Specialist for our Data Sourcing &amp; Solutions team. The role sits across the Innovation, Data &amp; Analytics Department to ensure customer requirements are properly captured and transformed into actionable data specifications. Success in the role will require focus on proactive management of the sourcing and management of data from source through usage. At AXA XL, we view individuals holistically through their People, Business, and Technical Skills. We&rsquo;re interested in what you bring, how you think, and your potential for growth. We value diverse perspectives, recognizing that each person contributes uniquely to our team's success. We welcome candidates with relevant education and experience in a related field, as well as those with diverse educational backgrounds or equivalent experience.
 
 
 
 What You&rsquo;ll Be DOING
 
 
 
 What will your essential responsibilities include?
 
 
 <ul>
 <li>
 Data Sourcing and Vendor Collaboration: Source, evaluate, and acquire data sources that meet customer needs; collaborate with business stakeholders, third-party vendors, and source system teams to align data assets with strategic objectives.
 </li>
 <li>
 Data Integration Architecture and Documentation: Design and implement robust data integration strategies that combine datasets from internal and external sources; document data requirements for ETL processes, APIs and data pipelines to ensure traceability and maintainability.
 </li>
 <li>
 Data Modeling and Solution Development: Develop data solutions and custom data models that address specific business difficulties; translate business requirements into actionable data insights and ensure integration with existing data assets.
 </li>
 <li>
 Data Management, Security, and Accessibility: Oversee organization and governance of data within databases; implement controls to ensure data security, integrity, and timely accessibility for authorized users.
 </li>
 <li>
 Agile Delivery and Backlog Management: Work effectively within an Agile framework; define and prioritize the product backlog; collaborate with Agile teams to deliver business value and satisfy customer needs.
 </li>
 <li>
 Cross-Functional Collaboration: Collaborate with Data Engineers, Data Science, Data Management, Data Governance, Data Quality, BI Solutions, and Stakeholders to deliver end-to-end data solutions.
 </li>
 <li>
 Data Quality Assurance: Implement measures to maintain data accuracy, consistency, and completeness; perform data validation and cleansing as needed to uphold quality standards.
 </li>
 <li>
 Data Governance, Compliance, and Privacy: Adhere to data governance standards; ensure compliance with regulations and internal policies related to data usage and privacy.
 </li>
 <li>
 Technical Proficiency and Innovation: Proficient in SQL, Azure cloud technologies, and Databricks; analyze data to generate actionable insights; stay current with emerging data management technologies.
 </li>
 <li>
 Domain Expertise Development: Develop Insurance domain knowledge to improve understanding of data context and relevance to business problems.
 </li>
 <li>
 Issue Identification and Continuous Improvement: Identify data-related issues, troubleshoot problems, and recommend and implement improvements to sourcing and integration processes.
 </li>
 <li>
 Leadership, Coaching, and Knowledge Sharing: Provide guidance and mentorship to junior analysts and teammates; foster a culture of continuous learning and improvement.
 </li>
 <li>
 Stakeholder Communication and Interpretation: Translate complex technical concepts into clear, non-technical insights to drive data-informed decision-making.
 </li>
 <li>
 Innovation and Continuous Improvement: Explore innovative approaches to data acquisition, integration, and solution development to enhance efficiency and effectiveness.
 </li>
 <li>
 Data Ecosystem Stewardship: Ensure the organization&rsquo;s data ecosystem is robust, well-integrated, and capable of delivering accurate, actionable insights to support a data-driven culture.
 </li>
 <li>
 Customer-First Mindset: Prioritize service to business stakeholders and maintain a customer-first attitude in all data solutions and interactions.
 
 
 </li>
 </ul>
 You will report to Senior Scientist- Sourcing &amp; Profiling.
 
 
 
 What You Will BRING
 
 
 
 We&rsquo;re looking for someone who has these abilities and skills:
 
 
 
 Required Skills And Abilities
 
 
 
 <ul>
 <li>
 Business &amp; Insurance Acumen: Extensive data-related experience in the Insurance sector; deep expertise in data, underwriting, claims, and/or operations; able to influence, collaborate, and lead across complex, inter-related teams with competing priorities.
 </li>
 <li>
 Stakeholder Management: Manages data needs for individual projects while maintaining awareness of broader enterprise data perspectives; engages stakeholders to align on priorities and outcomes.
 </li>
 <li>
 Digital Literacy: Enthusiasm for data-driven decision-making and familiarity with modern digital/data tools and practices to support business goals.
 </li>
 <li>
 Insurance Domain Literacy: Insurance domain literacy: deep experience in data related to underwriting, claims, and/or operations; ability to influence, collaborate, and lead cross-functional teams with competing priorities.
 </li>
 <li>
 Data Culture &amp; Mindset: Data-driven culture and mindset: passion for data and experience working in a data-driven organization.
 </li>
 <li>
 Global Collaboration &amp; Delivery: Global and cross-department collaboration: experience working with team members across the globe and across departments.
 </li>
 <li>
 Innovation &amp; Continuous Improvement: Innovation and continuous improvement: ability to recommend innovations and improvements to policies, procedures, resource deployment, and core activities.
 </li>
 <li>
 Data Analytics: Robust SQL knowledge &amp; Cloud Proficiency (including data brick); ability to work with unstructured data; perform exploratory analysis; integrate internal data with external industry data to deliver holistic solutions; effectively query data sources to derive insights.
 </li>
 <li>
 Data Warehousing: Exposure to Azure cloud technologies (including Databricks) and related data storage/processing environments; capable of supporting data pipelines and data assets across the organization.
 </li>
 <li>
 Troubleshooting &amp; Debugging: (implicit in the ability to identify data-related issues and resolve data sourcing/integration problems) demonstrated through problem-solving and iterative improvement of data processes.
 </li>
 <li>
 Domain &amp; Insurance Knowledge: Insurance data analytics: extensive experience in data roles (business analyst, data analyst, analytics) within the Insurance industry and data division.
 </li>
 <li>
 Data Integration &amp; Interoperability: Data integration: ability to integrate internal data with external industry data to deliver holistic solutions.
 </li>
 <li>
 Unstructured Data Analytics: Unstructured data analytics: work with unstructured data to unlock business insights and develop data-driven insurance products.
 </li>
 <li>
 Data Quality &amp; Governance: Data quality and organization: exceptional organizational skills, attention to detail, and emphasis on data quality and governance.
 </li>
 <li>
 Project Leadership &amp; Delivery: Project ownership and resilience: capability to take ownership, work under pressure, and meet deadlines.
 
 
 </li>
 </ul>
 
 Desired Skills And Abilities
 
 
 
 <ul>
 <li>
 Customer Centricity: Demonstrates excellent presentation, communication (oral &amp; written), and relationship-building skills across all levels of management and customer interaction.
 </li>
 <li>
 Cross Functional Collaboration: Works effectively with colleagues across global teams and multiple departments; builds trust and rapport within and across groups.
 </li>
 <li>
 Analytical &amp; Strategic Mindset: Possesses effective exploratory analysis skills, high intellectual curiosity, and is an outstanding conceptual thinker who can connect dots, think critically, and assess long-term impact.
 </li>
 <li>
 Resilience &amp; Performance Excellence: Takes ownership, works under pressure, and consistently meets deadlines; demonstrates exceptional organizational skills and attention to detail.
 </li>
 <li>
 Growth Mindset &amp; Innovation: Passion for data and a habit of advocating for continuous improvement, innovation, and policy/process enhancements.
 
 
 </li>
 </ul>
 
 Who WE are
 
 
 
 AXA XL, the P&amp;C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don&rsquo;t just provide re/insurance, we reinvent it.
 
 
 How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business &minus; property, casualty, professional, financial lines and specialty.
 
 
 With an innovative and flexible approach to risk solutions, we partner with those who move the world forward.
 
 
 Learn more at axaxl.com
 
 
 
 What we OFFER
 
 
 
 
 Inclusion
 
 
 
 AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That&rsquo;s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential.
 
 It&rsquo;s about helping one another &mdash; and our business &mdash; to move forward and succeed.
 
 
 
 <ul>
 <li>
 Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe.
 </li>
 <li>
 Robust support for Flexible Working Arrangements
 </li>
 <li>
 Enhanced family-friendly leave benefits
 </li>
 <li>
 Named to the Diversity Best Practices Index
 </li>
 <li>
 Signatory to the UK Women in Finance Charter
 
 
 </li>
 </ul>
 Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer.
 
 
 
 Total Rewards
 
 
 
 AXA XL&rsquo;s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do.
 
 
 We&rsquo;re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence.
 
 
 
 Sustainability
 
 
 
 At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called &ldquo;Roots of resilience&rdquo;, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations.
 
 
 
 Our Pillars
 
 
 
 <ul>
 <li>
 Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We&rsquo;re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans.
 </li>
 <li>
 Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions.
 </li>
 <li>
 Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We&rsquo;re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting.
 </li>
 <li>
 AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL&rsquo;s &ldquo;Hearts in Action&rdquo; programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving.
 
 
 </li>
 </ul>
 For more information, please see axaxl.com/sustainability.
</div>

Associate Scientist, Data Sourcing & Solutions

Tata Electronics

<div>
 
 
 About the Role:
 
 
 
 As a Recruiter at Tata Electronics, you will play a critical role in driving large-scale hiring initiatives for frontline workers (Direct Labour). You will manage end-to-end recruitment, working closely with business teams to understand requirements and delivering recruitment solutions through high-volume sourcing, screening, selection, and onboarding. This is a fast-paced role requiring excellent organizational and communication skills, along with the ability to manage recruitment drives in diverse locations.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Manage the full recruitment lifecycle from sourcing candidates to onboarding new hires.
 </li>
 <li>
 Source candidates using job boards, social media platforms, employee referrals, and direct sourcing techniques.
 </li>
 <li>
 Screen resumes and conduct interviews to assess candidate qualifications, experience, and cultural fit.
 </li>
 <li>
 Extend job offers and negotiate compensation packages in coordination with hiring managers.
 </li>
 <li>
 Facilitate onboarding processes to ensure smooth integration of new employees.
 </li>
 <li>
 Utilize the Success Factors recruitment module to manage and track recruitment activities.
 </li>
 <li>
 Stay informed about semiconductor industry trends, salary benchmarks, and market conditions.
 </li>
 <li>
 Conduct research on potential candidates to build a strong talent pipeline.
 </li>
 <li>
 Maintain regular communication with candidates, hiring managers, and other stakeholders throughout the hiring process.
 </li>
 <li>
 Provide an excellent candidate experience by ensuring timely updates and feedback.
 </li>
 <li>
 Build and maintain a network of industry professionals and potential candidates for future hiring needs.
 </li>
 <li>
 Track recruitment metrics such as time-to-fill, source effectiveness, and candidate pipelines.
 </li>
 <li>
 Prepare detailed reports on recruitment activities and present findings to relevant stakeholders.
 </li>
 <li>
 Identify areas for process improvement and implement changes to enhance recruiting efficiency.
 </li>
 </ul>
 
 
 
 
 
 Essential Attributes:
 
 
 <ul>
 <li>
 Strong interpersonal and communication skills to build rapport with candidates and stakeholders.
 </li>
 <li>
 Proactive and resourceful in sourcing talent through multiple channels.
 </li>
 <li>
 Analytical mindset to interpret recruitment metrics and market data.
 </li>
 <li>
 Ability to manage multiple open positions simultaneously with attention to detail.
 </li>
 <li>
 Familiarity with recruitment software, especially Success Factors recruitment module.
 </li>
 <li>
 Knowledge of semiconductor industry roles and requirements.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Proven experience managing recruitment in the semiconductor or related technology industries.
 </li>
 <li>
 Proficiency in recruitment platforms, especially Success Factors recruitment module.
 </li>
 <li>
 Strong knowledge of sourcing techniques and candidate assessment methods.
 </li>
 <li>
 Excellent negotiation and communication skills.
 </li>
 <li>
 Ability to work independently and collaboratively within a fast-paced environment.
 </li>
 <li>
 Bachelor&rsquo;s degree in Human Resources, Business, or a related field preferred.
 </li>
 </ul>
</div>

Recruiter

<div>
 
 Maximize Your Impact with TP
 
 
 
 Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable &euro;10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions.
 
 
 As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow.
 
 
 
 The Opportunity
 
 
 
 TP.ai Data Services partners with the world&rsquo;s leading technology companies to design, build, and scale trustworthy AI systems. We deliver high-quality, multi-modal data solutions that fuel innovations in Generative AI, Computer Vision, NLP, RLHF, and Trust &amp; Safety. Our mission is to ensure AI systems are not only high-performing but also responsible, reliable, and ready for global scale.
 
 
 We are seeking a Data Scientist (AI/ML Ops) to take a central role in shaping how AI models are operationalized and brought to life at scale. In this role, you will design, implement, and optimize advanced data pipelines, model evaluation frameworks, and monitoring processes that ensure AI systems are trained and deployed with accuracy, efficiency, and compliance. You&rsquo;ll apply your expertise in data science and ML operationalization to create automated feedback loops, establish robust evaluation metrics, and drive continuous improvement across the AI lifecycle.
 
 
 This is a high-impact opportunity to work on frontier AI initiatives with global reach, partnering directly with leading Big Tech enterprises. You will collaborate closely with Data Engineers, AI Researchers, IT, and Product Teams to translate complex business challenges into data-driven solutions, while influencing best practices in Responsible AI and MLOps. Beyond building pipelines and models, you&rsquo;ll help define the standards for how safe, scalable, and trustworthy AI systems are delivered worldwide.
 
 
 
 The Responsibilities &amp; Duties
 
 
 
 <ul>
 <li>
 Design data preprocessing pipelines for multi-modal datasets (text, audio, video, images).
 </li>
 <li>
 Engineer features and transformations for model training, fine-tuning, and evaluation.
 </li>
 <li>
 Apply data augmentation, synthetic data generation, and bias mitigation techniques.
 </li>
 <li>
 Develop and evaluate ML models for classification, ranking, clustering, and anomaly detection tailored to operational use cases.
 </li>
 <li>
 Expertise in power analysis, significance testing, and advanced methods such as bootstrapping and Bayesian inference.
 </li>
 <li>
 Create offline/online evaluation metrics (accuracy, F1, precision/recall, latency, fairness metrics) to track model performance.
 </li>
 <li>
 Support RLHF pipelines by integrating human feedback into model optimization loops.
 </li>
 <li>
 Collaborate with engineering teams to integrate models into production pipelines.
 </li>
 <li>
 Design automated monitoring, retraining triggers, and continuous improvement loops to maintain model quality in dynamic environments.
 </li>
 <li>
 Build dashboards and reporting frameworks for real-time monitoring of model and data health.
 </li>
 <li>
 Define labeling strategies, taxonomy structures, and annotation guidelines for supervised learning.
 </li>
 <li>
 Partner with annotation platforms to ensure accuracy, throughput, and SLA compliance.
 </li>
 <li>
 Perform statistical quality checks (inter-annotator agreement, sampling-based audits).
 </li>
 <li>
 Partner with clients, product teams, and operations leads to translate business problems into data/ML solutions.
 </li>
 <li>
 Work with Legal/Privacy teams to ensure datasets meet regulatory and ethical AI standards.
 </li>
 <li>
 Contribute to internal best practices, reusable frameworks, and knowledge bases for AI/ML Operations.
 
 
 </li>
 </ul>
 
 The Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Applied Mathematics, or related fields.
 </li>
 <li>
 5+ years of experience in ML/AI data science with a focus on operational deployment.
 </li>
 <li>
 Track record of delivering ML models into production environments at scale.
 </li>
 <li>
 Programming: Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), SQL.
 </li>
 <li>
 ML Techniques: Supervised/unsupervised learning, NLP, CV, RLHF.
 </li>
 <li>
 MLOps Tools: MLflow, Kubeflow, SageMaker, Vertex AI, or similar.
 </li>
 <li>
 Data Handling: Spark, Dataflow, or equivalent big data frameworks.
 </li>
 <li>
 Visualization &amp; Reporting: Tableau, Looker, or similar BI tools.
 </li>
 <li>
 Experience with Generative AI model evaluation (LLMs, diffusion models).
 </li>
 <li>
 Knowledge of Responsible AI frameworks (bias/fairness metrics, explainability).
 </li>
 <li>
 Exposure to Trust &amp; Safety operations or high-volume data environments.
 
 
 </li>
 </ul>
 
 Pre-Employment Screenings
 
 
 
 By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening.
 
 
 
 Important | Policy on Unsolicited Third-Party Candidate Submissions
 
 
 
 TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.
 
 
 
 Diversity, Equity &amp; Inclusion
 
 
 
 At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.
 
 
</div>

Data Scientist

Infosys

<div>
 <ul>
 <li>
 Indenting/Requisitioning Receive all requests in SAP system. Monitor and delegate to Purchase Associate for creation of order after obtaining approvals by the Purchase Manager. Initiate process changes in requisitioning system through continuous monitoring in order to streamline requests and release orders in time.
 </li>
 <li>
 Sourcing Review and approve vendor list/vendor code. Identification of non-standard goods and potential vendors. Compare products to optimize inventory, better features and pricing in order to have multiple suppliers for similar products, better cost control mechanism.
 </li>
 <li>
 Negotiation Review indent raised by the Executives and seek approval. Check details of vendors for similar products/services and obtain pricing from the SAP system in order to enable procurement of goods/services at best price and quality.
 </li>
 <li>
 Order Processing Track all open purchase requests. Delegate requests in order to release the purchase order on time within SLA and to meet the requestor's need.
 </li>
 <li>
 Receipt and Payment Handle escalations. Resolve any issues and facilitate closure of requests/payments in order to achieve on-time delivery/material delivery to vendor.
 </li>
 <li>
 Research Identify new markets/new technology/new products that are better than standard products used/available on site so that contract update/products can be monitored in order to bring efficiency in process/have better product/competitive price.
 </li>
 <li>
 Vendor Evaluation &amp; Registration Reviews vendor ranking/suggest corrective actions in order to improve vendor performance.
 </li>
 <li>
 Vendor Performance Management Review vendor documents in order to confirm it as per PO and STPI/SEZ Regulation.
 </li>
 <li>
 STPI / SEZ Review documents prepared by associates. Maintain report on total Purchase Orders. Perform application/co-ordinate with Customs in order to facilitate duty-free clearance in compliance with statutory regulations.
 </li>
 </ul>
</div>

Associate Manager - Purchase

SatSure

<div>
 
 We are looking for an
 
 Associate Product Manager &ndash; Data Products
 
 who is passionate about building data-driven solutions from the ground up. This role is ideal for someone who thrives in 0-to-1 journeys, is comfortable working with statistics, and can drive rapid prototyping alongside clients to discover product-market fit (PMF).
 
 
 
 
 
 
 
 About SatSure:
 
 
 
 
 SatSure is a Series A+ startup working at the intersection of space technology, remote sensing, and AI/Computer Vision. We solve critical problems in financial inclusion for smallholder farmers, climate sustainability, and infrastructure asset monitoring. With a growing team of 150+ dreamers, our vision is to build a global satellite company that pushes the boundaries of what data from space can achieve for people and businesses on Earth.
 
 
 There is no playbook yet for scaling a company like ours from 50 to 500 enterprise customers&mdash;but we are writing it, and you could be part of it.
 
 
 
 
 
 
 
 Role:
 
 
 
 
 You will collaborate with business teams to scale solutions in specific customer segments, and work closely with data scientists to define success criteria and shape product roadmaps. While experiment design is primarily the responsibility of Data Science Managers (DSMs), you will work hand-in-hand with them to align product decisions with modelling approaches and data exploration.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 Driving Product-Market Fit problem statements
 
 
 <ul>
 <li>
 Lead 0-to-1 product discovery journeys to identify and validate customer problems and PMF.
 </li>
 <li>
 Engage with clients in specific segments to prototype rapidly and co-create solutions.
 </li>
 <li>
 Evolve prototypes into scalable, common data product roadmaps.
 </li>
 <li>
 Apply first-principles thinking and high agency in problem-solving.
 </li>
 </ul>
 
 
 Collaboration with Data Science
 
 
 <ul>
 <li>
 Work closely with Data Science teams to iterate through experiments.
 </li>
 <li>
 Support DSMs in defining modelling success criteria while they decide on modelling approaches, sensor data, and feature exploration.
 </li>
 <li>
 Partner with data scientists to monitor model and product performance against defined criteria.
 </li>
 </ul>
 
 
 Product Development &amp; Roadmap
 
 
 <ul>
 <li>
 Translate early prototypes into structured product backlogs and incremental releases.
 </li>
 <li>
 Prioritize trade-offs between features, customer needs, and product scalability.
 </li>
 <li>
 Ensure continuous feedback loops with clients to refine MVPs and align with long-term product strategy.
 </li>
 </ul>
 
 
 Driving Market &amp; Business Success
 
 
 <ul>
 <li>
 Collaborate with business teams to help scale offerings within different customer segments.
 </li>
 <li>
 Contribute to GTM (go-to-market) strategies alongside marketing and sales teams.
 </li>
 <li>
 Ensure responsible AI practices and ethical data usage in product development.
 </li>
 </ul>
 
 
 
 
 
 
 Qualification:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in technology, statistics, or a related field.
 </li>
 <li>
 1&ndash;2 years of product management, business analysis, or equivalent experience (internships or early-career roles welcome).
 </li>
 </ul>
 
 
 
 
 
 
 Must Have:
 
 
 
 <ul>
 <li>
 Strong comfort with statistics and data analysis to inform product decisions.
 </li>
 <li>
 High agency and first-principles thinking in approaching problems.
 </li>
 <li>
 Ability to work with rapid prototyping cycles and co-create solutions with clients. Excellent communication, interpersonal, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 
 Good to Have:
 
 
 
 <ul>
 <li>
 Exposure to working with multimodal data (e.g., sensor, geospatial, text, imagery). Research background or interest in data science approaches for product development.
 </li>
 <li>
 Familiarity with AI/ML concepts, experiment design, or data products.
 </li>
 </ul>
 
 
 
 
 
 
 Benefits:
 
 
 
 <ul>
 <li>
 Opportunity to contribute to building futuristic data products at the intersection of AI and space technology.
 </li>
 <li>
 Flat organizational structure with strong values of empathy, problem-solving, integrity, customer focus, and ownership.
 </li>
 <li>
 Learning and skill development allowances, broadband and remote work support, medical insurance, and more.
 </li>
 <li>
 Medical Health Cover for you and your family, including unlimited online doctor consultations
 </li>
 <li>
 Access to mental health experts for you and your family
 </li>
 <li>
 Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves
 </li>
 <li>
 Twice a year appraisal
 </li>
 </ul>
 
 
 
 
 
 
 Interview Process:
 
 
 
 <ul>
 <li>
 Intro call
 </li>
 <li>
 Case study
 </li>
 <li>
 Interview rounds (ideally up to 3-4 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
</div>

Associate Product Manager

Amazon

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Maharashtra - D80
 
 
 Job ID: A2991894
</div>

Associate, ML Data Operations, GO-AI Operations

Syngene International Limited

<div>
 Date: 14 Oct 2025
 
 
 Location:
 
 
 IN
 
 
 Division: Discovery Services
 
 
 
 Job Title: Junior Analytical Development Scientist - OSD
 
 
 
 
 Job Location: Bengaluru
 
 
 
 
 Department: DPA &ndash; FD
 
 
 
 
 About Syngene :
 
 Syngene (www.syngeneintl.com) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply.
 
 
 At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures and SOPs, in letter and spirit
 
 
 
 Mandatory expectation for all roles as per Syngene safety guidelines
 
 
 
 <ul>
 <li>
 Overall adherence to safe practices and procedures of oneself and the teams aligned
 </li>
 <li>
 Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company&rsquo;s integrity &amp; quality standards
 </li>
 <li>
 Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times.
 </li>
 <li>
 Ensuring safety of self, teams and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace.
 </li>
 <li>
 Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self
 </li>
 <li>
 Compliance to Syngene&rsquo; s quality standards at all times
 </li>
 <li>
 Hold self and their teams accountable for the achievement of safety goals
 </li>
 <li>
 Govern and Review safety metrics from time to time
 
 
 </li>
 </ul>
 
 Core Purpose Of The Role
 
 
 
 <ul>
 <li>
 Analytical development supporting Formulation development
 </li>
 <li>
 Routine analysis of samples
 </li>
 <li>
 Method development
 </li>
 <li>
 Instrument calibrations
 </li>
 <li>
 Documentation
 </li>
 <li>
 Report preparation
 </li>
 <li>
 Miscellaneous lab responsibilities
 
 
 </li>
 </ul>
 
 Role Accountabilities
 
 
 
 <ul>
 <li>
 Candidate should have very good educational and theoretical background.
 </li>
 <li>
 Candidate should have knowledge of calibration, method development and troubleshooting using various instruments like KF auto titrator, dissolution (I, II &amp; IV), spectroscopic instruments e.g. UV spectrometer, IR and Chromatographic instruments e.g. HPLC, GC
 </li>
 <li>
 Knowledge of various regulatory guidelines w.r.t. method development, product development and documentation
 </li>
 <li>
 Knowledge of method development for oral dosage forms w.r.t. tests like assay, degradation products, dissolutions, blend uniformity, content uniformity, cleaning method, etc.
 </li>
 <li>
 Knowledge of specification setting for oral dosage forms, in-process specifications as well as product specifications
 </li>
 <li>
 Knowledge and operating of instruments like LC-MS, GC-MS will be added advantage
 </li>
 <li>
 Good understanding of Documentation as per GxP requirements
 </li>
 <li>
 Online Lab notebook writing
 </li>
 <li>
 Method development report preparation &ndash; Assay, Degradation products, Dissolution, cleaning method, etc.
 </li>
 <li>
 Method of Analysis, Test report, SOP preparation
 </li>
 <li>
 Calibration documentation
 </li>
 <li>
 Review of documents generated by peers or juniors
 </li>
 <li>
 Should be able to search scientific literature on-line
 </li>
 <li>
 Should be a team player and able to coach juniors technically
 
 
 </li>
 </ul>
 
 Syngene Values
 
 
 
 All employees will consistently demonstrate alignment with our core values
 
 
 Excellence
 
 
 Integrity
 
 
 Professionalism
 
 
 
 Experience:
 
 More than 5 years up to 8 years
 
 
 
 Skills And Capabilities
 
 
 
 Candidate should have good proficiency for MS-office tools
 
 
 Should be able to search scientific literature on-line
 
 
 
 Behavioral Skills
 
 
 
 Strong commitment towards work, and a high level of dedication, enthusiasm, motivation, and persuasive ability in a team.
 
 
 Good speaking-listening-writing skills, attention to details, proactive self-starter.
 
 
 Ability to work successfully in a dynamic, ambiguous environment.
 
 
 Ability to meet tight deadlines and prioritize workloads.
 
 
 Ability to develop new ideas and creative solutions.
 
 
 Should be able to work in team and flexible for working in shifts.
 
 
 Should be a focused employee.
 
 
 
 Education:
 
 M.Pharm / M.Sc
 
 
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.
</div>

Junior Analytical Development Scientist - OSD

Explore 60+ Associate scientist data sourcing solutions in Bangalore India this November. Find roles across top companies and apply now to boost your career.