7171 Machine Learning Jobs - Page 7

Job Title: Senior MLOps Engineer Location : Pan India (WFO) Experience Range: 8-12 years Primary Key skills: MLOps Key Responsibilities: Design, develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, maintenance, and scalability. Automate the retraining, testing, and validation processes for ML models. Collaborate with cross-functional teams, including data science, software engineering and DevOps, to integrate ML models into production systems. Monitor model performance, diagnose issues, and implement improvements. Ensure scalability, reliability, and compliance of ML systems in production. Optimize infrastructure costs while maintaining high system performance. Stay up-to-date with the latest developments in MLOps, machine learning and AI, and apply new techniques to improve existing models and processes. Qualifications: Education: Bachelors or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. Experience: Solid experience as a MLOps Engineer, Machine Learning Engineer, DevOps Engineer, or similar role. Experience in the retail industry or e-commerce is highly desirable. Technical Skills: Strong experience with Infrastructure as Code frameworks and languages (Terraform, Bicep or ARM) Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.). Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes). Proficiency in CI/CD tools and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of model monitoring and evaluation metrics. Familiarity with version control systems, such as Git, and model versioning tools like MLflow or DVC. Experience with Generative AI product deployment is desirable. Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop is desirable. – some of these System level architecture understanding including scaling, MLOps, model/data monitoring, andensuring a deterministic pipeline. Soft Skills: Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. A proactive attitude and a passion for continuous learning and innovation. Role & responsibilities Preferred candidate profile

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Qualification BE (CSE/IT)/ B.TECH(CSE/IT)/ MCA/ ME(CSE/IT)/ M.SC/ M.TECH(CSE/IT) Location Surat Salary range Paid Internship Experience/Seniority level Fresher/Internship Job Time Full Time Requirements / Your Skills Annotate, build, train, evaluate, and fine-tune machine learning and deep learning models for various use cases. Implement data pipelines for preprocessing, augmentation, and transformation of structured and unstructured datasets. Perform exploratory data analysis (EDA), feature engineering, and data visualization. Work on computer vision and image/video processing tasks using industry-standard frameworks. Utilize GPU acceleration (CUDA, cuDNN, TensorRT) for training and optimizing deep learning models. Deploy models on-premise and in cloud environments using containerization (Docker) and orchestration (Kubernetes). Collaborate in an agile development team, contributing to architecture, experimentation, and testing workflows.

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Job Mode Onsite/Work from Office | Monday to Friday | Shift 1 (Morning). Overview : We are seeking an experienced Team Lead to oversee our data engineering and analytics team consisting of data engineers, ML engineers, reporting engineers, and data/business analysts. The ideal candidate will drive end-to-end data solutions from data lake and data warehouse implementations to advanced analytics and AI/ML projects, ensuring timely delivery and quality standards. Key Responsibilities : - Lead and mentor a cross-functional team of data professionals including data engineers, ML engineers, reporting engineers, and data/business analysts. - Manage the complete lifecycle of data projects from requirements gathering to implementation and maintenance. - Develop detailed project estimates and allocate work effectively among team members based on skills and capacity. - Implement and maintain data architectures including data lakes, data warehouses, and lakehouse solutions. - Review team deliverables for quality, adherence to best practices, and performance optimization. - Hold team members accountable for timelines and quality standards through regular check-ins and performance tracking. - Translate business requirements into technical specifications and actionable tasks. - Collaborate with clients and internal stakeholders to understand business needs and define solution approaches. - Ensure proper documentation of processes, architectures, and code. Technical Requirements : - Strong understanding of data engineering fundamentals including ETL/ELT processes, data modeling, and pipeline development. - Proficiency in SQL and data warehousing concepts including dimensional modeling and optimization techniques. - Experience with big data technologies and distributed computing frameworks. - Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) and their respective data services. - Knowledge of on-premises data infrastructure setup and maintenance. - Understanding of data governance, security, and compliance requirements. - Familiarity with AI/ML workflows and deployment patterns. - Experience with BI and reporting tools for data visualization and insights delivery. Management Skills : - Proven experience leading technical teams of 4+ members. - Strong project estimation and resource allocation capabilities. - Excellent code and design review skills. - Ability to manage competing priorities and deliver projects on schedule. - Effective communication skills to bridge technical concepts with business objectives. - Problem-solving mindset with the ability to remove blockers for the team. Qualifications : - Bachelor's degree in Computer Science, Information Technology, or related field; - 5+ years of experience in data engineering or related roles. - 2+ years of team leadership or management experience. - Demonstrated success in delivering complex data projects. - Certification in relevant cloud platforms or data technologies is a plus. What We Offer : - Opportunity to lead cutting-edge data projects for diverse clients. - Professional development and technical growth path. - A collaborative work environment that values innovation. - Competitive salary and benefits package.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Role: Python Architect Experience: 10+ Years Location: Chennai Notice Period: 30-60 days Job Description: Job Responsibilities: At least 8+ years of SW development experience in Java or Python , ReactJS, Docker and Kubernetes preferably in the telecom domain Able to articulate customer requirements into high-level/low-level specification documents. Able to guide and mentor the team of 6-8 people from the technical side and strictly adhere to the process guidelines during the implementation phase of the project. Develop and design python programs, flask based micro services based on customer requirements. Strong knowledge and good experience required on Advanced Python programming is must. Experience in the development of high-performance requirement python projects is a must Good to have knowledge in ELK/Grafana Good knowledge in Kubernetes, Dockers, and Cloud native principles. Able to communicate directly with customers and can participate in direct technical discussions with the customer Bachelor or Master's degree in CSE/ECE/EEE/EI/IT Experience in working on Agile projects is value addition Knowledge and experience with the professional services project lifecycle (scoping, requirements, construction, QA/test) Design, implementation, test, integration and debugging of Python based micro services & applications Convert requirements to high-quality code while working closely with a team of other highly skilled professionals to deliver top-quality software to the Eden NET customer base. Proven commercial Python development experience (more than just scripting), Excellent understanding of Object-Oriented Methodology and design, implementation, and debugging skills. Understanding /Hands on Experience on Machine learning and important Algorithms Proven experience working with relational database systems such as MySQL Experience writing automated unit and integration testing using Python Experience using and creating RESTful APIs Good experience in continuous refactoring First level of effort estimation for feature, Interface with system architects to understand the impact of the system level features on the modules. Reviews specifications, architecture and design, code, test strategy, and test cases for the feature. Work towards continuously improving the quality of the code and automation of the test cases. Acts as a mentor for team members, Good communication and teamwork skills Ability to take initiative and lead complex activities along with a team Experience in working in a multi-cultural environment Highly motivated and constantly seeks avenues for continuous improvement Job Type: Permanent Pay: ₹3,500,000.00 - ₹5,000,000.00 per year Benefits: Paid sick time Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm XR Systems organization is responsible for system architecture and system software design for Qualcomm’s XR chipset platforms. We are scaling up our operations and we are looking for engineers experienced in systems architecture who will work on driving the next generation XR technologies and architectures, enabling the future of Augmented Reality / Virtual Reality / Mixed Reality applications. Responsibilities include working with lead XR OEMs and QC’s customer-facing teams to understand end to end use cases, mapping them on to existing architectures, defining and optimizing data flows, working with SoC design, dv, firmware, and validation teams and ensuring use case power and performance KPIs are met. The team is also responsible for providing guidance towards future XR SoC roadmap definitions. XR technology encompasses a broad range of features covering XR perception, local and remote rendering, camera, video, computer vision, communications and split compute topologies such as phone + glass and PC + HMD + cloud etc. The successful candidate will be responsible for (one or more of the following): Identifying, understanding and documenting use cases and implementations of AR/VR and related technologies Leading technology, hardware and software experts to translate use case requirements into implementation specifications Driving technical workstreams for perception, reprojection and split-processing, including quality validation, latency/quality trade-offs etc. Driving technical workstreams for sensor/display advancements, interface optimizations, reference design scoping for XR feature prototyping System level use case modeling to validate and optimize architecture definition Defining requirements for custom hardware accelerators and general purpose compute cores for XR features/flows & workloads Defining and executing HW-SW feature analysis to optimize for power and performance For this multi-disciplinary role an ideal candidate has proven expertise in AR/VR, computer vision, machine learning, perception, camera technology, hardware design, SoC architecture, HW/SW partitioning, and/or system modeling (power, performance, thermal). Minimum Qualifications Bachelor’s degree in Electrical Engineering, Information Systems, Computer Science, or related field, and project experience in architecture/micro-architecture 2 to 10 years of system engineering or related work experience Excellent problem solving and communication skills Preferred Qualifications Master’s and/or PhD degree in Electrical Engineering, Information Systems, Computer Science Experience with Mixed & Augmented reality system design, constraints, and trade-offs Extensive knowledge of graphics pipeline, reprojection and advanced rendering techniques, computer vision pipelines, machine learning methods and/or camera pipelines Proven experience in conducting architectural trade-offs, power/performance analysis and/or SW-HW trade-offs Experience with system level modeling (performance and/or power) 2 - 6 years experience in one or more of above areas C/C++ programming Educational Requirements Required: Bachelor’s, Computer Engineering and/or Electrical Engineering or equivalent experience Preferred: Master’s / Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering Keywords Camera, GPU, CPU, SOC, System engineering, Hardware designing, Computer vision, Artificial Intelligence, ML, DSP, AR, VR, MR, XR Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title: Business Analytics - Operations Trainee Location: Xerago, OMR – Perungudi, Chennai Experience: Fresher Education: Graduate in Business Analytics OR related field (with AI certifications) Job Description: Xerago is looking for a smart, driven fresher to join as an AI-Powered - Business Analytics Operations Trainee . This role offers a unique opportunity to work directly from the Founder’s Office , closely collaborating with and reporting to the CEO on strategic initiatives involving AI and business operations. Key Responsibilities: Assist in implementing AI-driven solutions for internal operations and client-facing processes Support the CEO in research, analysis, and execution of strategic business projects Work with teams across the organization to collect data and monitor performance metrics Contribute to automation initiatives and process optimization using AI tools Prepare reports, dashboards, and insights to aid decision-making Key Requirements: Graduate in Business Analytics or a related field Certified in Artificial Intelligence / Machine Learning Strong analytical and problem-solving skills Excellent communication and interpersonal abilities Eagerness to learn, take initiative, and work in a fast-paced environment Note: This is a high-visibility entry-level position ideal for candidates aspiring to learn directly from leadership and build a career at the intersection of AI and business operations. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹400,000.00 per year Benefits: Food provided Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Seeking a qualified and passionate IT Faculty member to teach UG/PG courses in areas like Cloud Technology, Information Security, Data Science, Full Stack Development, Artificial Intelligence, Machine Learning, Cyber Security, Mobile Application, Web Technology, Internet of Things, Process Automation. Responsibilities include teaching, mentoring, curriculum development, research, and industry engagement. Required Qualification: BE/BTech, ME/MTech Ph.D. preferrable. Job Type: Full-time Pay: ₹40,000.00 - ₹65,000.00 per month Schedule: Day shift Work Location: In person

JOB DESCRIPTION Join us for an exciting opportunity to advance your career as a Quant Analyst Associate, driving impactful business insights. As a Quant Analytics Associate within the Data and Analytics team, you will collaborate with cross-functional teams to deliver timely insights that enhance customer engagement and business performance. You will nurture a culture of continuous experimentation and innovation. Job Responsibilities Synthesize large data from various sources to derive actionable insights for business functions. Solve business problems through fact-based and scientific analytics. Define metrics, evaluate results, and draw business insights. Evaluate and implement new tools for data collection, analysis, and reporting. Present key findings and recommendations to senior stakeholders to enable decision-making. Required Qualifications, Capabilities, and Skills Bachelor's degree in statistics, business analytics, finance, economics, mathematics, or engineering. 4+ years of analytics experience in a financial services firm or consulting firm supporting financial firms. Proficiency in data querying (Snowflake SQL/Python), Alteryx, and Tableau. Ability to navigate loosely defined business problems independently. Deliver persuasive presentations using data-driven storytelling techniques. Preferred Qualifications, Capabilities, and Skills Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Effective communication with senior leaders to enable collaboration and decision-making. Flexibility, adaptability, and ability to manage and deliver in a fast-paced environment. 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

JOB DESCRIPTION We have an exciting opportunity for you to advance your career as a Quant Analyst (Associate) by delivering insights that enhance customer engagement and business performance. As a Quant Analyst Associate within the Data and Analytics team, you will collaborate with cross-functional teams to define objectives and nurture a culture of continuous experimentation. Your work will directly impact business performance and customer engagement. Job Responsibilities: Synthesize large data from various sources to identify and derive actionable insights for business functions. Solve business problems through fact-based and scientific analytics. Apply critical and analytical thinking with strong attention to detail. Define metrics, evaluate results, and draw conclusions and business insights. Evaluate and implement new tools to improve data collection, analysis, and reporting. Summarize key findings and present recommendations to senior stakeholders to enable collaboration, decision-making, and transparency. Required Qualifications, Capabilities, and Skills: Bachelor's degree in statistics, business analytics, finance, economics, mathematics, or engineering. 4+ years of analytics experience in a financial services firm or consulting firm supporting financial firms. Proficiency in data querying (Snowflake SQL/Python), Alteryx, and Tableau. Ability to navigate loosely defined business problems independently. Deliver persuasive presentations using data-driven storytelling techniques to inform decision-makers. Preferred Qualifications, Capabilities, and Skills: Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Effective communication with senior leaders to enable collaboration, decision-making, and transparency. Flexibility and adaptability, with the ability to listen and defend or change direction based on team and stakeholder consensus. Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment. 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

JOB DESCRIPTION As an employee in the Loss Forecast and Portfolio Analytics team, you'll work to provide oversight and drive production of the credit loss forecast and CECL forecast for all JPMorgan Chase & Co. credit cards. In this highly visible role, you'll: Actively help determine the loss forecasting results and drivers. This information will be presented to executive management and other internal clients Understand the impact of model updates and drive creation of overlays Identify and size the impact of emerging risks in Card portfolio Identify key trends happening in the card portfolio and its impact on the losses and profitability and baseline and stress scenarios Participate in cross-functional communications with Risk Management, Finance, Marketing and Collections to inform the forecast on current learnings and incorporate strategic initiatives Lead advanced analyses to assess relationships and patterns driving loss performance Produce the loss forecast and maintenance of associated loss models Help spearhead best in class documentation and operational risk and audit controls surrounding the loss forecasting and LLR Qualifications: A Bachelor's degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required. Advanced degree preferred 8+ years of Credit Risk Management, Statistical Modeling, Marketing Analytics and/or Consulting experience Essential skills: Strong knowledge of Python, SAS or SQL required Strong analytical, interpretive, and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas Excellent oral and written communication and presentation skills Preferred skills: Prior exposure to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL Some exposure to automation and dashboard creation Strong P&L knowledge and understanding of drivers of profitability 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

JOB DESCRIPTION Join us for an exciting opportunity to advance your career as a Quant Analyst Associate, driving impactful business insights. As a Quant Analyst Associate within the Data and Analytics team, you will collaborate with cross-functional teams to deliver timely insights that enhance customer engagement and business performance. You will nurture a culture of continuous experimentation and innovation. Job Responsibilities Synthesize large data from various sources to derive actionable insights for business functions. Solve business problems through fact-based and scientific analytics. Define metrics, evaluate results, and draw business insights. Evaluate and implement new tools for data collection, analysis, and reporting. Present key findings and recommendations to senior stakeholders to enable decision-making. Required Qualifications, Capabilities, and Skills Bachelor's degree in statistics, business analytics, finance, economics, mathematics, or engineering. 4+ years of analytics experience in a financial services firm or consulting firm supporting financial firms. Proficiency in data querying (Snowflake SQL/Python), Alteryx, and Tableau. Ability to navigate loosely defined business problems independently. Deliver persuasive presentations using data-driven storytelling techniques. Preferred Qualifications, Capabilities, and Skills Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Effective communication with senior leaders to enable collaboration and decision-making. Flexibility, adaptability, and ability to manage and deliver in a fast-paced environment. 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Job Description: Job Timings: Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Location : Valsad, Gujrat Responsibilities: Design, develop, and maintain .NET applications. Able create plug and play library for .net applications. Hands on knowledge in SQL Database Implement AI solutions. Develop APIs and services to support AI functionalities. Know well about setup load balancing between database and application. Third Party integration ( scrapping data from other website) Advantage having knowledge of UI technology (Angular) Ensure the performance, quality, and responsiveness of applications. Troubleshoot and resolve software defects and issues. Stay updated with the latest industry trends and technologies in AI and .NET development. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a .NET Developer. Experience with AI tools like AWS generative AI, . Proficiency in C# and .NET framework. Familiarity with cloud platforms (e.g., Azure, AWS) and their AI services. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Master's degree in Computer Science or related field. Experience with DevOps practices and CI/CD pipelines.

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

Company Description Rezilyens is a company founded on the principles of customer obsession, innovation, excellence, and long-term thinking. They focus on augmenting human intelligence using data and machine learning to drive operational excellence and long-term success for their clients. Rezilyens offers a unique approach to building great companies and solving complex problems. Qualifications Application Security and Network Security skills Cybersecurity and Malware Analysis expertise Strong Analytical Skills Experience in the field of cybersecurity Certifications such as CISSP, CEH, or CISM are a plus Ability to work collaboratively and independently Bachelor's degree in Computer Science, Information Technology, or related field Job Types: Full-time, Fresher Pay: Up to ₹10,000.00 per month Schedule: Night shift Rotational shift Weekend availability Work Location: In person Expected Start Date: 15/07/2025

We are seeking a motivated and detail-oriented Research Associate to support research and development activities in Process Development (PD) Lab and Synthetic Chemistry Lab . Hands-on experience in R&D – Synthesis/PD Lab of a pharmaceutical company. Collaborate with cross-functional teams. Operate and maintain lab equipment like reactors, vacuum pumps, analytical instruments (HPLC, GC, FTIR, etc.). Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

Job Title: Research Associate - R&D Department – PD Lab & Synthesis Lab Industry: Pharmaceutical Location: Padra Experience: 1–5 Years Qualification: M.Sc. (Organic Chemistry) We are seeking a motivated Research Associate for our Process Development (PD) Lab & Synthesis Lab . Design and execute multi-step organic synthesis for APIs and intermediates. Ensure lab safety and compliance with SOPs and GMP standards. Collaborate with QA/QC, production, and regulatory teams for technology transfer. Prepare technical documentation like BMRs, process reports, and validation protocols. Hands-on experience with analytical instruments (HPLC, GC, etc.). Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Plotly, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Create visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic using software such as Power BI. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Job Title: Data Scientist Reports To: The Data Scientist will report to the Data Science Section Manager / Senior Data Scientist (7-12 years of experience). Job Overview: We are looking for Senior Data Scientist who will play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and AI solutions to challenge various business issues. The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, a high standard for coding best practices, passion for pushing the team to improve their standard practices, technical skills for leveraging analytical tools to solve large scale problems and designing tools when they don't exist, technical aptitude to remain abreast with related science technologies, leadership in charting new analytical courses, and excitement to use iterative approaches to tackle long-term challenges Your goal will be to help Rakuten Mobile Inc. analyze trends to make better decisions and enable the automation of the network operations and management. Responsibilities: Deep understanding of statistical and machine learning models. Proven experience building models and placing models into production.Supporting implementation of advanced analytics in industry Resolving resolving issues at Data Platform. Strong experience on VNF, Kr8 Platforms. Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via Cloud technologies, SQL, and data pipelines. Experience in optimization problems, and solving those problems at scale · Presenting information using data visualization techniques · Identify valuable data sources and automate collection processes · Analyze large amounts of information to discover trends and patterns · Build predictive models and machine-learning algorithms · Combine models through ensemble modeling · Propose solutions and strategies to business challenges · Collaborate across different business unit and product development teams Requirements: · Strong Skills of machine-learning and AI · Strong Knowledge of Python, PySpark, SQL, Flask; familiarity with data frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure · Strong math / analytical skills (e.g. statistics, algebra) · Excellent communication and presentation skills · MSc/BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred · Experience in data mining · Experience in product development Job Types: Full-time, Permanent Pay: ₹2,600,000.00 - ₹3,300,000.00 per year Benefits: Flexible schedule Health insurance Internet reimbursement Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Morning shift Experience: Data science: 7 years (Required) Work Location: In person

JOB DESCRIPTION : Location - Mumbai Andheri Experience - 3Yrs From small furniture shops to multinational retail chains, our solutions cater to a diverse range of customers. We specialize in developing cutting-edge technology including E-Commerce platforms, point-of-sale systems, Order Management Platforms, Automated Logistics Systems, and IOT Devices. Our team embraces new technologies like AR/VR, Artificial Intelligence, and Machine Learning, fostering a culture of learning and innovation. Functional Area: Inside Sales  An inside sales rep will play a fundamental role in achieving our ambitious customer acquisition and revenue growth objectives.  You must be comfortable making dozens of calls per day, working with channel partners, generating interest, qualifying prospects and closing sales. Responsibilities  Source new sales opportunities through lead sourcing/data mining, follow-up and outbound cold calls and emails.  Understand customer needs and requirements.  Route qualified opportunities to the appropriate sales team for further development and closure.  Close sales and achieve quarterly quotas.  Research accounts, identify key players and generate interest.  Maintain and expand your database of prospects within assigned territory. Requirements and skills  Proven inside sales experience.  Track record of over-achieving quota.  Strong phone presence and experience dialling dozens of calls per day.  Proficient with corporate productivity and web presentation tools.  Experience working with CRM.  Excellent verbal and written communications skills.  Strong listening and presentation skills.  Ability to multi-task, prioritize, and manage time effectively.  Bachelor degree or equivalent. Job Type: Full-time Pay: ₹800,000.00 - ₹900,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Job Title: Data Science Intern About the Role: We are looking for a motivated and detail-oriented Data Science Intern to join our dynamic team. This internship offers a unique opportunity to work on real-world data problems, gain hands-on experience with cutting-edge tools and technologies, and contribute to impactful projects. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis to uncover insights and patterns. Build, test, and validate predictive models using statistical and machine learning techniques. Assist in developing data visualizations and dashboards to communicate findings. Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions. Document processes, methodologies, and results clearly. Requirements: Pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Basic understanding of Python, R, or similar programming languages. Familiarity with data analysis libraries (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn, Power BI, or Tableau). Knowledge of machine learning concepts is a plus. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience with SQL or NoSQL databases. Exposure to cloud platforms like AWS, GCP, or Azure. Familiarity with version control (Git/GitHub). Job Type: Internship Contract length: 6 months Pay: ₹8,000.00 - ₹10,000.00 per month Schedule: Day shift Monday to Friday Morning shift Education: Bachelor's (Preferred) Experience: AI : 1 year (Required) ML : 1 year (Required) Work Location: In person

Data Scientist - - - - - - - - - - - - KEY EXPECTED ACHIEVEMENTS The business need is understood and formalized in a descriptive datasheet or specifications The methods are clearly selected by their theoretical bases, advantages and drawbacks The data, its relevance and its source are described and prioritized The data are prepared (cleaned, enriched, mapped, agregated, …) and the approach is documented The data analysis is implemented and documented Machine Learning pipeline are built, tested and automatized for deployment The algorithms and models (descriptive and/or predictive) are developed and the approach is documented The results of the analysis or the models are presented to the customers with data visualisation tools indicating the performances and the limits. The source code is delivered and explained if necessary Models are validated and decisions deployment are taken, from roll-out-strategy Peer reviews are organized to ensure quality of delivering.

Cybersec Security Advisor Job description: Are you passionate about tackling complex data problems? Do you thrive on using your analytical and cybersecurity skills to solve large-scale challenges? Are you intrigued by the intersection of complex business processes and data-driven approaches? If so, we'd love to hear from you! At Schneider Electric, we are undergoing a transformative journey by leveraging Artificial Intelligence & Automation technologies to empower users with Machine Learning and Cognitive computing, driving business value. Simultaneously, as the number of cybersecurity threats continues to grow, we recognize the importance of having a comprehensive cybersecurity approach across our solutions to safeguard our business and customers. We seek a cybersecurity professional to join our AI Digital Risk Leader & Data Officer team to drive the implementation of Secure development process in our AI organization. To ensure a cohesive cybersecurity strategy implemented throughout our AI HUB, you will collaborate closely with AI Cybersecurity teams but also Autonomous spokes team in NAM and GSC. The role The Security Advisor is responsible for the adoption and implementation of the SDL framework following the Schneider Electric SDL V2 process and in compliance to the SE SDL Policy and other cybersecurity policies, procedures, and best practices, and to advise on cybersecurity technical requirements for the development of secure products and systems. The Security Advisor regularly interacts with key stakeholders (including representatives from marketing, R&D offer development, technical leaders, and leadership team members) as well as stakeholders from the Business Unit Security Team and the corporate Product Security Office (PSO) to ensure that cybersecurity guidelines and processes are executed in an efficient and effective manner. Key Responsibilities for the Role Act as Subject Matter Expert, serve as a consultant and advisor for cybersecurity topics within AI development teams. Provide guidance, coaching and expertise to execute SDL practices such as threat modelling, secure design practices, secure coding and implementation, and security testing. Gather SDL and Cybersecurity metrics to contribute to data driven strategies and plans to aid in the deployment of SDL and cybersecurity functionality as required by cybersecurity standards such as IEC62443, and to further improve SDL and Cybersecurity effectiveness and efficiency. Ensure that their assigned development teams abide with risk-driven cybersecurity processes and controls. Support development teams to manage vulnerability triage and resolution Support internal SDL audits and Formal Cybersecurity Reviews (FCSRs) and other supported Schneider data security and privacy processes. Conduct training and presentations to build cybersecurity competencies within teams. Track organizational maturity using cybersecurity maturity frameworks and track other SDL-related goals as directed. Qualifications Key skills and requirements Ability to align operational/information security policies with business requirements. Process driven with attention to detail, ability to translate operational/information security requirements into security controls in coordination with architects. Ability to effectively adapt to and apply rapidly changing technology and security requirements to business needs. Knowledge of static code analysis tools, secure coding standards, fuzz and penetration testing, and formal security reviews. Working knowledge of security and privacy standards, regulations, and legislation. Demonstrated ability to develop threat models, analysing threats, and rate threat severity using established industry practices Experience with AI and ML technologies and services (Machine Learning, Conversational AI, Computer Vision, No Code / Low Code AI) Qualifications & Experience Customer-oriented with a service-oriented attitude (flexible, personable, and approachable) Certification in Cybersecurity Management such as CISSP, CSSLP; and/or IEC 62443 Certified Specialist. Experience of working in an Engineering/R&D group following a Secure Development Lifecycle based on standards such as IEC 62443, ISO 21434, or Microsoft SDL; with a proven ability to engage with management and development teams. Experience guiding and assisting organizations in implementing security product/system development practices. Experience in driving corporate programs using influence, negotiation, and persuasion soft skill set. An understanding of domain appropriate communication mechanisms protocols Strong communication skills, including the ability to render concise reports, summaries, and presentations. Project management or technical leadership skills preferred. Primary Location : IN-Karnataka-Bangalore Schedule : Full-time Unposting Date : Ongoing