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advanced data scientist [t500-20971] Jobs in Mangaluru

advanced data scientist [t500-20971]

advanced data scientist [t500-21272] Jobs in Mangaluru

advanced data scientist [t500-21272]

advanced data scientist t500 20971

Albertsons Companies India

<div>
 
 
 About Albertsons Companies Inc.:
 
 
 
 As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
 
 
 We build and shape technology solutions that solve customers&rsquo; problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
 
 
 Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
 
 
 
 
 
 
 About Albertsons Companies India:
 
 
 
 At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company&rsquo;s technology journey to support millions of customers&rsquo; lives every day.
 
 
 At the Albertsons Companies India, we are raising the bar to grow across Technology &amp; Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
 
 
 
 
 
 
 Position Title: Advanced Data Scientist
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; responsibilities:
 
 
 <ul>
 <li>
 Collaborate with business and product stakeholders and build production grade models and machine learning algorithms on large-scale datasets
 </li>
 <li>
 Enhance and apply end-to-end demand forecasting models to support various business decision making
 </li>
 <li>
 Optimize inventory policies to reduce supply chain waste and opportunity cost related to holding excess inventory by maximizing the productivity of inventory
 </li>
 <li>
 Identify key drivers for out of stocks and address them using Machine Learning and Mathematical Optimization techniques to maximize in stock conditions at stores to provide the best customer experience
 </li>
 <li>
 Apply machine learning and mathematical optimization to increase productivity in ecommerce fulfillment operations and deliver the most optimum user experience on ecommerce website and loyalty mobile app
 </li>
 <li>
 Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
 </li>
 <li>
 Build models and algorithms to fuel growth initiatives for In Stock, Omni Channel, Digital and Merchandising
 </li>
 <li>
 Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
 </li>
 <li>
 Convey machine learning solutions with intuitive visualizations and effective communications
 </li>
 <li>
 Scale up prototypes and implement reliable automated production workflow for models
 </li>
 <li>
 Collaborate with software development engineers to integrate models
 </li>
 </ul>
 
 
 
 
 
 Experience Required:
 
 
 <ul>
 <li>
 Bachelors or master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically intensive fields such as Experimental Physics or Chemical Engineering
 </li>
 <li>
 4+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
 </li>
 <li>
 Experience with any of the following business analytics practices is preferred:
 </li>
 <li>
 Supply chain analytics, including inventory optimization
 </li>
 <li>
 Time series forecasting for large-scale demand forecasting
 </li>
 <li>
 Ecommerce fulfillment operations, pick path optimization
 </li>
 <li>
 4+ years of experience and proficiency in SQL, Python and/or Spark-ML
 </li>
 <li>
 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
 </li>
 <li>
 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
 </li>
 <li>
 Ability to write production-level code in Python
 </li>
 <li>
 Experience with Snowflake, Azure Databricks is a strong plus
 </li>
 </ul>
 
 
 
 
 
 Skills Required:
 
 
 <ul>
 <li>
 Statistical and Experimental Modeling (regression modeling, survival modeling, experimental design multivariate/A-B testing)
 </li>
 <li>
 ML and AI (deep learning algorithms, NLP, nonparametric Bayesian modeling, ensemble modeling, recommendation algorithms, clustering)
 </li>
 <li>
 Mathematical and Applied Optimization (operations research, linear optimization, non-linear optimization, numerical search)
 </li>
 <li>
 SQL, Python
 </li>
 </ul>
 
 
 
 
 
 Skills Preferred:
 
 
 <ul>
 <li>
 Big Data and Tools (Spark-ML, Snowflake, Spark, Hadoop, Big Query)
 </li>
 <li>
 Production-level Python coding
 </li>
 <li>
 Data Engineering
 </li>
 <li>
 AI Methodologies (GenAI, Agentic AI)
 </li>
 </ul>
</div>

Advanced Data Scientist [T500-20971]

<div>
 
 
 About Albertsons Companies Inc. :
 
 
 
 As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
 
 
 We build and shape technology solutions that solve customers&rsquo; problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
 
 
 Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
 
 
 
 
 
 
 About Albertsons Companies India:
 
 
 
 At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company&rsquo;s technology journey to support millions of customers&rsquo; lives every day.
 
 
 At the Albertsons Companies India, we are raising the bar to grow across Technology &amp; Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
 
 
 
 
 
 
 Position Title: Advanced Data Scientist
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; responsibilities:
 
 
 <ul>
 <li>
 Collaborate with business and product stakeholders and build production grade models and machine learning algorithms on large-scale datasets
 </li>
 <li>
 Enhance and apply end-to-end demand forecasting models to support various business decision making
 </li>
 <li>
 Optimize inventory policies to reduce supply chain waste and opportunity cost related to holding excess inventory by maximizing the productivity of inventory
 </li>
 <li>
 Identify key drivers for out of stocks and address them using Machine Learning and Mathematical Optimization techniques to maximize in stock conditions at stores to provide the best customer experience
 </li>
 <li>
 Apply machine learning and mathematical optimization to increase productivity in ecommerce fulfillment operations and deliver the most optimum user experience on ecommerce website and loyalty mobile app
 </li>
 <li>
 Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
 </li>
 <li>
 Build models and algorithms to fuel growth initiatives for In Stock, Omni Channel, Digital and Merchandising
 </li>
 <li>
 Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
 </li>
 <li>
 Convey machine learning solutions with intuitive visualizations and effective communications
 </li>
 <li>
 Scale up prototypes and implement reliable automated production workflow for models
 </li>
 <li>
 Collaborate with software development engineers to integrate models
 </li>
 </ul>
 
 
 
 
 
 Experience Required:
 
 
 <ul>
 <li>
 Bachelors or master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically intensive fields such as Experimental Physics or Chemical Engineering
 </li>
 <li>
 3+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
 </li>
 <li>
 Experience with any of the following business analytics practices is preferred:
 </li>
 <li>
 Supply chain analytics, including inventory optimization
 </li>
 <li>
 Time series forecasting for large-scale demand forecasting
 </li>
 <li>
 Ecommerce fulfillment operations, pick path optimization
 </li>
 <li>
 3+ years of experience and proficiency in SQL, Python and/or Spark-ML
 </li>
 <li>
 3+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
 </li>
 <li>
 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Databricks, Spark, Hadoop
 </li>
 <li>
 Ability to write production-level code in Python
 </li>
 <li>
 Experience with Snowflake, Azure Databricks is a strong plus
 </li>
 <li>
 Building Recommendation/ personalization systems or foundational systems on apps &amp; websites.
 </li>
 </ul>
 
 
 
 
 
 Skills Required:
 
 
 <ul>
 <li>
 Statistical and Experimental Modeling (regression modeling, survival modeling, experimental design multivariate/A-B testing)
 </li>
 <li>
 ML and AI (deep learning algorithms, NLP, nonparametric Bayesian modeling, ensemble modeling, recommendation algorithms, clustering)
 </li>
 <li>
 Mathematical and Applied Optimization (operations research, linear optimization, non-linear optimization, numerical search)
 </li>
 <li>
 SQL, Python
 </li>
 </ul>
 
 
 
 
 
 Skills Preferred:
 
 
 <ul>
 <li>
 Big Data and Tools (Spark-ML, Snowflake, Spark, Hadoop, Big Query)
 </li>
 <li>
 Production-level Python coding
 </li>
 <li>
 Data Engineering
 </li>
 <li>
 AI Methodologies (GenAI, Agentic AI)
 </li>
 </ul>
</div>

Advanced Data Scientist [T500-21272]

Tata Communications

<div>
 
 About The Company
 
 
 
 Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications
 
 
 
 Team &ndash;
 
 Artificial Intelligence Centre of Excellence
 
 
 
 Role:
 
 Data Scientist
 
 
 
 Location:
 
 Bengaluru
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Experience Level:
 
 1-5 Years
 
 
 
 Position Overview
 
 
 
 We are seeking an experienced Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1 to 5 years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services.
 
 
 
 Detailed Job Description &amp; Key Responsibilities
 
 
 
 <ul>
 <li>
 Research and implement state-of-the-art ML algorithms and tools to build PoCs and MVPs
 </li>
 <li>
 Develop, Test, and Deploy machine learning models for various business and Telco use cases.
 </li>
 <li>
 Perform data preprocessing, feature engineering and ML/DL model evaluation.
 </li>
 <li>
 Optimize and fine-tune models for performance and scalability.
 </li>
 <li>
 Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT
 </li>
 <li>
 Build and refine RAG models to improve information retrieval and answer generation systems.
 </li>
 <li>
 Integrate RAG methods into existing applications to enhance data accessibility and user experience.
 </li>
 <li>
 Work closely with cross-functional teams including software engineers, product managers, and domain experts.
 </li>
 <li>
 Communicate technical concepts to non-technical stakeholders effectively.
 </li>
 <li>
 Document processes, methodologies, and model development for internal and external stakeholders.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions.
 </li>
 <li>
 Strong knowledge of probability and statistics.
 </li>
 <li>
 Working knowledge of machine learning and deep learning skills.
 </li>
 <li>
 Strong knowledge of programming knowledge &ndash; Python, SQL and commonly used frameworks &amp; tools &ndash; PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex
 </li>
 <li>
 Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode.
 </li>
 <li>
 Excellent problem-solving skills and a proactive attitude.
 </li>
 <li>
 Strong communication and teamwork abilities.
 </li>
 <li>
 Ability to manage multiple projects and meet deadlines
 </li>
 <li>
 Interview will involve coding tests.
 </li>
 </ul>
</div>

Assistant Manager - Technology & Platform Development

QpiVolta Technologies

<div>
 
 
 Sodium-Ion Battery
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for an experienced
 
 Battery Scientist-Sodium-Ion
 
 to join our advanced R&amp;D and product development team. The candidate will contribute to the design, scale-up, and integration of advanced battery technologies with a strong focus on translating lab-scale innovation into manufacturable solutions. This position requires a balance of hands-on experimentation, problem-solving, and collaboration with engineering and manufacturing teams.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develop and optimize Sodium-Ion electrodes and electrolytes for scalable manufacturing.
 </li>
 <li>
 Lead process development for slurry preparation, coating, densification, and cell assembly with a focus on reproducibility and cost-effectiveness.
 </li>
 <li>
 Conduct electrochemical performance evaluation (cycling, rate capability, safety, interfacial stability) to benchmark against industrial standards.
 </li>
 <li>
 Work closely with process engineers to transition materials and processes from lab to pilot-scale production.
 </li>
 <li>
 Support intellectual property (IP) generation through patents and technical documentation.
 </li>
 <li>
 Provide technical input for collaborations with suppliers, customers, and external partners.
 </li>
 <li>
 Ensure compliance with safety, quality, and environmental standards in all lab and pilot-scale activities.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 PhD in Electrochemistry, Materials Science, Chemical Engineering, or related discipline with good publications and or patents records.
 </li>
 <li>
 Proven experience in
 
 Sodium-ion chemistry development
 
 with demonstrated contributions in material optimization, characterizations, and cell integration.
 </li>
 <li>
 Hands-on expertise in
 
 electrode&ndash;electrolyte interfaces
 
 , cell assembly (coin/pouch), and electrochemical testing.
 </li>
 <li>
 Strong background in
 
 process development and scale-up
 
 in battery industry.
 </li>
 <li>
 Excellent data analysis, technical reporting, and cross-functional collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 Industry experience in a battery manufacturing or energy storage company.
 </li>
 <li>
 Familiarity with
 
 pilot-line operations, coating technologies, and dry/wet processing, synthesis techniques
 
 .
 </li>
 <li>
 Knowledge of
 
 supply chain requirements
 
 for advanced battery materials.
 </li>
 <li>
 Experience contributing to IP, tech transfer, or commercialization projects.
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge
 
 Sodium-Ion battery commercialization
 
 .
 </li>
 <li>
 Exposure to
 
 end-to-end product development
 
 from materials discovery to pilot-scale production.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Dynamic and collaborative work environment with clear career progression.
 </li>
 </ul>
 
 
</div>

Research Scientist

Morgan Stanley

<div>
 
 Morgan Stanley
 
 
 
 
 Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering
 
 
 
 We&rsquo;re seeking someone to join our team as Vice President - Data Scientist to help with designing and implementing complex Machine Learning and Artificial Intelligence models and solving business problems using various Analytical and AI tools.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice President level, which is part of the job family
 
 
 responsible for developing and maintaining software solutions that support business needs.
 
 
 Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST&rsquo;s &lsquo;clients&rsquo; include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.
 
 
 Advisory is responsible for end-to-end process life cycle support for Investment Banking, Global Capital Markets and Research with a focus on efficiency, scale, and time to market. Sales Distribution develops technology for the firm's IED and FID Sales and Distribution business units, creating application synergies across the businesses various platforms
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions
 </li>
 <li>
 The role will require the candidate to work independently with Research business and vendors on analysing and defining problem statements, and work closely with development teams on designing and implementing the solution and managing the delivery of various products.
 </li>
 <li>
 Provide technical leadership and vision for software development projects.
 </li>
 <li>
 Define technical architecture and roadmap for large-scale, mission-critical systems.
 </li>
 <li>
 Establish and communicate departmental goals and objectives aligned with business priorities.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <li>
 Ability to effectively manage multiple functions or guide junior staff and initiatives.
 </li>
 <li>
 Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
 </li>
 <ul>
 <li>
 10+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 <li>
 Supervised &amp; Unsupervised Learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, HybridRAG, Chunking/Embedding, and Fine Tuning experience with OpenAI models and open source LLMs
 </li>
 <li>
 Natural Language Processing (Sentiment Analysis, Embeddings, Summarization, Chatbot etc.)
 </li>
 <li>
 Entity identification/extraction and knowledge discovery from structured and unstructured content
 </li>
 <li>
 Expert in Python, R, Spark, TensorFlow, Snowflake, Databricks and other machine learning / LLM tools
 </li>
 <li>
 Familiar with noSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environments
 </li>
 <li>
 Excellent communication skills and basic knowledge in finance
 </li>
 <li>
 PhD or Master&rsquo;s degree in Mathematics, Statistics, Data Science, Computer Science, or other related fields
 </li>
 <li>
 At least 6 years' relevant experience would generally be expected to find the skills required for this role
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering

KaleidEO

<div>
 
 
 Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads.
 
 
 
 
 
 
 Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis.
 
 
 
 
 
 
 
 About KaleidEO
 
 
 
 
 
 
 
 KaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an 'analytics-first' payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities.
 
 
 
 
 
 Rooted in SatSure&rsquo;s legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics.
 
 
 
 
 
 At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling!
 
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 
 <ul>
 <li>
 To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently..
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To participate in quality assurance practices to ensure high-quality image products.
 </li>
 <li>
 To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelors or Master&rsquo;s degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
 </li>
 <li>
 Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.
 </li>
 </ul>
 
 
 
 
 
 
 Must-Have:
 
 
 
 <ul>
 <li>
 Proficiency in image processing and computer vision algorithms.
 </li>
 <li>
 Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
 </li>
 <li>
 Understanding of satellite optical sensors and their processing challenges.
 </li>
 </ul>
 
 
 
 
 
 
 Good to Have:
 
 
 
 <ul>
 <li>
 Experience with machine learning techniques for image analysis.
 </li>
 <li>
 Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).
 </li>
 </ul>
 
 
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Cover for you and your family including unlimited online doctor consultations.
 </li>
 <li>
 We believe family comes first. That&rsquo;s why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most.
 </li>
 <li>
 We ensure every member of the team gets an opportunity to participate at international events and conferences.
 </li>
 <li>
 Access to mental health experts for you and your family.
 </li>
 <li>
 Dedicated allowances for learning and skill development.
 </li>
 <li>
 Twice a year appraisal.
 </li>
 </ul>
 
 
 
 
 
 
 Interview Process:
 
 
 
 <ul>
 <li>
 Coding Round
 </li>
 <li>
 Introductory call
 </li>
 <li>
 Panel Interview rounds ( 2 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
 
 
 
 
 No of positions: 1
 
 
 Expected Month of Joining: February / March 2026
 
</div>

Image Processing Scientist

JPMorganChase

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

Vice President – Data Science / Applied AI ML

Explore 328+ Advanced data scientist t500 20971 in Mangaluru this November. Find roles across top companies and apply now to boost your career.