15431 Machine Learning Jobs - Page 2

As the Manager Fraud & Scams Analytics at CommBank, you will play a crucial role in defining and executing robust fraud analytics procedures for the Group. Your impact and contribution will be significant as you collaborate with senior management and stakeholders to identify and prioritize business challenges that can be addressed through analytics. You will effectively communicate complex analytical concepts in a clear and actionable manner, develop data features for fraud and scam detection models, and enhance scripts to improve feature and profile accuracy. Your responsibilities will also include mentoring junior analysts, liaising with Data Scientists and rule writers to improve fraud detection, and utilizing self-service tools for scheduling and monitoring written scripts. With your 8+ years of experience in Data Analytics and advanced programming skills in Python and SQL, you will develop predictive models, machine learning algorithms, and other advanced analytics techniques to ensure the robustness, accuracy, and relevance of analytical solutions. An analytical mindset, problem-solving skills, and an understanding of fraudster behavior and psychology are essential for success in this role. You will also be responsible for maintaining data governance standards, collaborating effectively within the analytics community and with stakeholders, and upholding the integrity, quality, and security of data used in analysis. To excel in this position, you should hold a tertiary qualification in numerate, engineering, and/or IT-based disciplines such as Actuarial science, applied mathematics, Statistics, Computing Science, or Data Science. Your commitment to safeguarding customers from financial fraud and scams, combined with your expertise in fraud analytics, will contribute to the overall success of the team and the bank. If you are passionate about leveraging analytics to combat fraud and scams, and thrive in a collaborative and dynamic environment, we encourage you to apply for the Manager Fraud & Scams Analytics role at CommBank in Bangalore.,

You should have a desired education background of MBA/M Tech in Industrial Engineering or Management, PG in Engineering or Statistics, or PhD in Operations research/optimization domain. Additionally, you should have hands-on experience in Supply Chain areas such as Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics, and Spend Analytics. Strong analytical skills are required with the ability to collect, organize, and analyze significant amounts of data with attention to detail and accuracy. Proficiency in BI Tools like Tableau/Power BI and programming skills in R/Python, SQL, MS Office, and VBA are essential. As a Supply Chain Analytics professional, your responsibilities will include working in the Supply Chain Analytics space with hands-on experience in areas like Demand Planning, Supply Planning, Inventory Management, Logistics, and Spend Analytics. You should be familiar with Sales and Operation Planning, Forecasting, Demand Planning, Capacity Planning, Inventory Management, Supply Planning, Logistics, Spend, and Procurement. Designing Supply Chain Analytical solutions, defining KPIs and metrics, developing BI solutions and reports, participating in client meetings, workshops, and understanding supply chain situations/issues are part of your role. Experience in Digital Transformation, including data strategy, orchestration, Governance, Architecture, BI for building reporting/insights/analytics factory, is required. You should have a mix of modeling and programming experience, and experience in modeling work for solving core business issues using forecasting, predictive modeling, Machine learning, Python, or R is an added advantage. Exposure to Visualization tools and the ability to learn different analytical tools as per business requirements is beneficial. Good knowledge of various statistical forecasting and inventory optimization techniques is necessary. Handling large datasets, identifying, analyzing, and interpreting trends or patterns in complex data sets using statistical techniques to generate actionable insights, and working closely with global clients and multiple cross-functional teams to identify business needs, requirements, and prioritize needs are important aspects of this role.,

As a Senior AI Engineer at our organization, you will be an integral part of the Digital Engineering team with a primary focus on Innovation Initiatives. Your role will involve contributing to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate we are looking for is someone with a deep expertise in machine learning and AI, along with a track record of developing scalable solutions. A delivery-focused mindset is essential for this role, emphasizing quick and incremental outputs within an agile environment. Your responsibilities will include developing cutting-edge AI solutions for future trends, rapidly prototyping and delivering impactful features (DemoBytes), integrating existing libraries/datasets for novel applications, developing select features from scratch when required, collaborating cross-functionally on AI innovations, proactively improving systems based on AI trends, participating in agile development processes, and delivering frequent and incremental outputs. Balancing innovation with practicality will be a key aspect of this role. To be successful in this role, you should have a Master's degree in Computer Science, Engineering, AI, or a related field, along with at least 4 years of experience in developing and deploying machine learning models and AI solutions. You should have experience in leading a team of at least 5 members. Proficiency in Python is a must, and familiarity with Java and R is also desirable. Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision is crucial. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras is highly preferred. Additionally, you should have a solid understanding of data structures, algorithms, and software design principles, knowledge of RESTful APIs and microservices architecture, familiarity with agile development methodologies, strong problem-solving skills, and the ability to work effectively in a team environment. Excellent communication skills are also required to explain complex AI concepts to both technical and non-technical stakeholders.,

As a Senior Engineer specializing in AI and ML at our R&D department in Bhandup, Mumbai, you will be responsible for developing, implementing, and optimizing machine learning algorithms for autonomous systems. Your focus will encompass areas such as reinforcement learning, deep learning, and computer vision. Additionally, you will design algorithms for autonomous navigation, including path planning, localization, and decision-making to enable robots to operate effectively in dynamic environments. Your role will involve researching and developing algorithms to enhance human-robot interaction, ensuring intuitive and responsive robotic behavior. You will collaborate with robotics engineers and other AI specialists to integrate machine learning algorithms into robotics platforms, emphasizing real-time performance and efficiency. Utilizing simulation environments like OpenAI Gym, you will test and refine AI/ML models for reinforcement learning and autonomous system performance. Furthermore, you will work on optimizing machine learning models for deployment in resource-constrained environments, ensuring low-latency responses and high accuracy. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, AI, or Data Science, with a specialization in Machine Learning, Computer Vision, or Autonomous Systems. You should possess 3-5 years of experience in AI, particularly in reinforcement learning, deep learning, or computer vision. Experience in developing algorithms for autonomous navigation, decision making, and human-robot interaction is highly desirable. Your industrial background should include working with companies specializing in autonomous vehicles, humanoid robots, or AI-driven products. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, OpenCV, or Dlib is essential. Additionally, you should be proficient in programming languages like Python, C++, and MATLAB. Familiarity with simulation environments like OpenAI Gym for reinforcement learning and computer vision for object detection and tracking is crucial. As a Senior Engineer in AI and ML, you will stay updated with the latest advancements in AI/ML, computer vision, and autonomous systems to contribute innovative ideas and solutions to the team. Moreover, you will provide clear documentation for AI algorithms, testing results, and methodologies to ensure reproducibility and alignment with project goals. If you are passionate about AI, ML, and robotics, and possess the necessary qualifications and experience, we invite you to apply for this full-time position by sending your application to recruitment@hirect.com with the Job Code H250304. Join us in shaping the future of autonomous systems and robotics with your expertise and innovative approach.,

About Biz-Tech Analytics At Biz-Tech Analytics, the focus is on building production-grade computer vision and AI-driven automation solutions. The team specializes in transforming complex data into actionable insights through scalable AI infrastructure. Currently, there is an opening for a Senior Machine Learning Engineer who will be responsible for designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities In this role, as a Senior ML Engineer, you will take on the lead in designing, developing, and deploying advanced computer vision systems that drive AI automation across diverse operational workflows. Your responsibilities will include leading the design and deployment of computer vision models for various applications, optimizing image and video data pipelines, architecting real-time vision systems for edge and cloud environments, mentoring junior ML engineers, staying updated with the latest computer vision research, and collaborating with clients and internal stakeholders on AI solutioning and consulting projects. Qualifications The ideal candidate should possess at least 5+ years of experience in Machine Learning within Computer Vision projects deployed in production environments. Proficiency in Python and expertise in computer vision applications using libraries like PyTorch, TensorFlow, and OpenCV are essential. A solid understanding of MLOps workflows, experience in leading ML teams, and excellent communication skills are also required. Comfort with agile, startup-like environments and the ability to translate complex technical concepts into actionable project plans are key attributes for this role. Good to Have Experience in vision-based automation in the manufacturing industry, exposure to Generative AI workflows, familiarity with Large Language Models, and an understanding of AI governance and security protocols are considered advantageous for this position. Why Biz-Tech Analytics Joining Biz-Tech Analytics means working on challenging AI problems that require innovative solutions. You will have the opportunity to lead end-to-end AI projects, collaborate with a high-performing team, and enjoy a flexible, entrepreneurial work culture that fosters leadership and growth opportunities. Apply now if you are ready to make a visible and impactful contribution to cutting-edge AI projects at Biz-Tech Analytics.,

As the Senior Manager of Software Engineering at JPMorgan Chase within the Home Lending division, you will play a crucial leadership role in guiding multiple technical teams towards success. Your expertise will be instrumental in shaping the technical direction of the teams, ensuring high performance, scalability, and adherence to best practices. You will be responsible for leading the design and implementation of solutions that meet business requirements and drive operational efficiencies. Your insights and guidance will influence budget decisions and technical considerations, contributing to the continuous improvement of development processes and methodologies. In this role, you will provide technical coaching and mentorship to the development team, overseeing the development and deployment of applications. Conducting code reviews, troubleshooting issues, and ensuring compliance with coding standards will be key responsibilities. Staying updated with the latest technologies and industry trends is essential, as you contribute to the innovation and advancement of the team's technical capabilities. Collaboration across teams and stakeholders is crucial, and you will be accountable for decisions that impact resources, budget, operations, and the implementation of processes. Your input to leadership on budget, approach, and technical considerations will drive improvements in operational efficiencies and functionality. Creating a culture of diversity, equity, inclusion, and respect within the team will be a priority, as you foster an environment that values diverse representation and promotes a sense of belonging for all team members. **Required Qualifications, Capabilities, and Skills:** - Formal training or certification in Software Engineering concepts with a minimum of 5 years of applied experience. - Ability to guide and coach teams towards achieving strategic goals. - 12 years of experience in software engineering and architecture, with expertise in Java and AWS technologies. - Strong analytical and problem-solving skills, excellent communication abilities, and a commitment to delivering high-quality solutions. - Proven track record of successful project implementations and mentoring junior team members. - Experience in hiring, developing, and recognizing talent. - Understanding of the software development lifecycle and agile methodologies. - Ability to work independently, manage multiple tasks, and focus on delivering results. - Practical cloud-native experience and expertise in relevant technology disciplines. - Advanced knowledge of software applications, technical processes, and familiarity with cloud, artificial intelligence, and machine learning. **Preferred Qualifications, Capabilities, and Skills:** - Experience working at the code level. - Interest in modern development trends and emerging technologies like AI and Machine Learning. - Ability to independently tackle design and functionality challenges.,

We are seeking a skilled Python AI/ML Engineer with a strong passion for developing AI/ML solutions and contributing to ML pipelines. The ideal candidate will have in-depth knowledge of traditional and deep learning concepts, hands-on programming skills, experience in enterprise-grade software engineering, and a good understanding of MLOps practices. As a Python AI/ML Engineer, your responsibilities will include designing, developing, and deploying scalable machine learning models for various tasks such as classification, regression, NLP, and generative tasks. You will be tasked with building and optimizing data transformation workflows using Python and Pandas, leading AI/ML project pipelines from data ingestion to model deployment and monitoring, and implementing model observability and monitoring for drift. Additionally, you will be involved in developing REST APIs and integrating ML models with production systems using frameworks like FastAPI. Participation in code reviews, writing unit/integration tests, and ensuring high code quality will be essential. Collaborating with cross-functional teams including Data Engineers, DevOps, and Product Managers is a key aspect of this role. To excel in this position, you must have advanced proficiency in Python and its libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. A strong understanding of asynchronous programming, FastAPI, and concurrency is required. Solid grasp of traditional ML concepts, experience with deep learning, and familiarity with MLOps tools are also necessary skills. Experience with REST API development, integration testing, CI/CD practices, containerization tools like Docker, and cloud-based ML deployment will be beneficial. Furthermore, the ability to perform data transformation and aggregation tasks using Python/Pandas is essential for success in this role. Having experience in GenAI, working with LLMs, and exposure to tools like MLflow, Kubeflow, Airflow, or similar MLOps platforms are considered advantageous. Any prior contributions to open-source ML tools or GitHub repositories will be a plus. If you have a strong background in Python, AI/ML, deep learning, MLOps practices, and are enthusiastic about developing innovative solutions, we encourage you to apply for this position and be part of our dynamic team.,

About PhonePe Limited: PhonePe's portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture: At PhonePe, we go the extra mile to make sure you can bring your best self to work, every day! That starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you're excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country, and executing on your dreams with purpose and speed, join us! Job Description: We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights. Key Responsibilities: Lead and drive the development of advanced machine learning models to solve high-impact business challenges. Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value. Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes. Design and implement scalable data pipelines and real-time analytics solutions. Guide and mentor data scientists, fostering a culture of innovation and best practices. Conduct deep-dive analyses to extract meaningful insights from complex and large datasets. Ensure machine learning models are explainable, reproducible, and aligned with business objectives. Present findings and recommendations to key stakeholders in a clear and actionable manner. Work closely with engineering teams to deploy ML models into production environments at scale. Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory). 6+ years of experience in data science, machine learning, or applied statistics. Experience in financial services, fintech, e-commerce, or similar data-driven industries. Strong expertise in Python, SQL with proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Solid understanding of big data technologies (Spark, PySpark, Hadoop, or similar). Hands-on experience in model deployment using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.). Expertise in statistical modeling, predictive analytics. Experience working with real-time and batch-processing systems. Demonstrated ability to translate business problems into data science solutions. Excellent problem-solving, critical-thinking, and analytical skills. Strong communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences. Preferred Qualifications: Experience in financial services, fintech, e-commerce, or similar data-driven industries. PhonePe Full-Time Employee Benefits (Not applicable for Intern or Contract Roles): Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance. Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System. Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program. Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy. Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment. Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy. Read more about PhonePe on our blog. Life at PhonePe. PhonePe in the news.,

As an experienced AI/ML scientist with over 7 years of hands-on experience in delivering enterprise-grade AI/ML solutions, your primary responsibility will be to collaborate with business, product, and engineering teams to define problem statements, assess feasibility, and develop AI/ML-driven solutions that provide tangible business value. You will be leading end-to-end AI/ML projects, from initial data exploration and model development to validation, deployment, and continuous monitoring in production environments. Your expertise in machine learning, NLP, Generative AI, and statistical modeling will be crucial in driving solution architecture and ensuring scalability, reproducibility, and sustainability of AI solutions by implementing best practices in model development, CI/CD, and performance tracking. Additionally, you will be mentoring junior and associate AI/ML scientists, conducting technical reviews, and guiding them in solution development. Your role will also involve identifying and advocating for the adoption of emerging tools, technologies, and methodologies across teams, as well as translating technical outputs into actionable insights for business stakeholders through effective storytelling, data visualizations, and stakeholder engagement. The ideal candidate for this position should possess a Bachelor's or Master's degree in computer science, engineering, statistics, or a related quantitative field (a PhD is considered a plus). You must have advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms, particularly Azure, along with tools such as Databricks, Synapse, ADF, and Web Apps. A strong background in text analytics, NLP, and Generative AI with practical deployment experience is essential, as well as a solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production environments. Moreover, you should be a problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data insights and strategic decision-making. Previous experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines will be beneficial. Knowledge of the shipping and logistics business domain is an advantage. If you require any accommodations or special assistance during the application and hiring process, please feel free to reach out to us at accommodationrequests@maersk.com.,

As an Assistant Vice President for the Data Science Team at Citigroup, you will play a crucial role in driving the development and implementation of advanced analytical solutions to support key business objectives. Your strong leadership skills and proven track record in collaborating with high-performing teams will be essential in delivering impactful insights and fostering a data-driven culture. Your responsibilities will include supporting the model validation process for Model Risk Management, developing and implementing automated solutions to manage the increasing volume of models, overseeing the development of predictive models and machine learning algorithms, as well as documenting data requirements and performing exploratory data analysis. You will also be required to interface between business and technology partners, communicate findings and recommendations to senior management, and ensure compliance with data governance policies and regulatory requirements. To excel in this role, you should have at least 8 years of experience in Data Science roles, a strong understanding of statistical modeling, machine learning, and data mining techniques, and the ability to translate complex data into actionable insights. Experience in developing and deploying AI solutions, interacting with senior stakeholders, and managing end-to-end implementation of data science solutions will be key qualifications. Additionally, a Bachelor's degree in STEM is required, with a Master's degree being preferred. Your role as an Assistant Vice President in Data Science at Citigroup will involve working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. Your expertise in data science tools and techniques, coupled with your ability to impact key business drivers through a disciplined analytic process, will be instrumental in driving substantial business results and contributing to the success of the organization. If you are excited about leveraging your expertise in data science to drive innovation and make a significant impact, we encourage you to apply for this rewarding opportunity at Citigroup.,

As an AI Engineer with 4.5+ years of experience, you will be based in Mumbai, India. A maximum notice period of 45 days can be considered. You must have hands-on experience in team handling. A Master's or equivalent degree in a quantitative field such as Machine Learning, Computer Science, Applied Mathematics, or Statistics is required. Your responsibilities will include creating RAG Pipelines or similar Text to SQL, developing production-grade Graph RAG Pipelines and agent workflows, engaging in prompt engineering, and working with and deploying Open Source LLM Models. You should also have experience with different Embedding models and possess strong programming skills in Python, along with proficiency in other languages like Java or C++. Experience with cloud platforms such as AWS, GCP, Azure, and AI/ML services is essential. You should have knowledge in machine learning frameworks and libraries, as well as a good understanding of Deep Learning frameworks. Familiarity with MLOps Pipeline is a plus. Additionally, you should have the ability to explain complex topics efficiently and simply, along with good documentation and communication skills. Being open, caring, agile, and innovative, and having an ownership mindset are qualities that are valued in this role. Having knowledge of web technologies is a standout attribute. If you are interested in this position, please share your resume with us at komal.aher@thesearchfield.com.,

As the Sales Director for IT products and solutions, your primary responsibility is to develop and execute the sales strategy in alignment with the company's business objectives and market trends. You will drive revenue growth by targeting new business opportunities, expanding existing customer relationships, and leading enterprise sales efforts. Additionally, you will lead market analysis to identify trends and customer needs, providing insights to refine sales strategies and product offerings. Accurate sales forecasting and reporting of key metrics to executive leadership will be essential for tracking and adjusting sales strategies based on market conditions. In terms of team management and development, you will be tasked with leading and mentoring a team of IT technical sales professionals. Your role will involve providing leadership, coaching, and mentorship to help the team achieve individual and collective goals. It will be crucial to ensure that the sales team has a solid understanding of technical products and solutions through training programs that enhance their product knowledge, sales skills, and customer management abilities. Setting clear goals, tracking performance, and implementing development plans will be essential to drive success and hold team members accountable for meeting or exceeding sales targets. Moreover, you will lead recruitment efforts to attract top talent in the IT technical sales space. Another key aspect of your role will be client relationship management. You will oversee relationships with key enterprise clients, ensuring exceptional customer service and maintaining long-term partnerships. Engaging in high-level negotiations with clients to close large-scale deals and align sales contracts with company goals will be critical. Understanding client pain points and offering tailored IT solutions to meet their business and technical needs will also be part of your responsibilities. Additionally, you will act as a trusted advisor and partner to senior leadership in client organizations, influencing and driving strategic decisions regarding IT solutions. Collaboration with cross-functional teams will be essential for success in this role. You will work closely with product management and engineering teams to align product offerings with market demands and client needs. Collaboration with marketing teams to develop sales collateral, case studies, and campaigns that resonate with target audiences will also be required. Furthermore, you will collaborate with the customer success team to ensure smooth post-sales implementation and identify opportunities for upselling and cross-selling. Staying current on trends in IT technologies, competitive positioning, thought leadership, and innovation will be crucial aspects of your role as Sales Director. Maintaining a deep understanding of the latest trends in IT technologies and ensuring that the sales team is equipped to sell cutting-edge solutions will be essential. Monitoring competitors and industry developments to ensure the company's offerings are competitively positioned and driving innovation based on insights will also be part of your responsibilities. Representing the company at industry events, conferences, and client meetings to establish a reputation as a leader in the IT solutions space will be integral to your role. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Technology, Business, or a related field. Additionally, you should have a minimum of 7-10 years of experience in technical sales, business development, or sales leadership, with at least 5 years of experience in a management or director-level role. A proven track record of selling complex IT solutions to enterprise clients, managing and growing sales teams, and leading high-value negotiations is required. Experience in B2B sales with a focus on large enterprise accounts and high-level decision-makers is also essential. Strong knowledge of enterprise IT solutions, emerging IT technologies, and the sales process in IT from prospecting to customer success will be necessary for success in this role.,

You will play a crucial role in defining, developing, and optimizing tools and methodologies for FPGA silicon validation and software enablement. Your responsibilities will include creating and enhancing tools for FPGA silicon validation, IP, software, and integration, as well as delivering continuous improvements to silicon validation environments and methodologies. You will be involved in developing lab-based test environments and synthetic test content to characterize and test functionality, performance, and power, ensuring their qualification for product release. Applying various hardware and software tools and techniques, you will work on ensuring functional coverage and debugging issues. Debugging and resolving silicon bring-up issues, documenting solutions, and troubleshooting from prototype to production will be a key part of your role. Collaboration with cross-functional teams such as architecture, design, software, firmware, and tools teams is essential to seamlessly integrate validation and debugging tools. Researching, designing, developing, and optimizing software tools enabling the use of FPGAs will also be a significant aspect of your responsibilities. Staying updated on the latest trends and technologies in ML, AI, and post-silicon validation is crucial. Additionally, you will be involved in developing system-level programming and firmware closely coupled to FPGA silicon, IP, and boards. Your problem-solving skills will be put to the test to contribute to innovative solutions enhancing validation and debugging processes. Responding to customer/client requests or events and documenting technical specifications and project progress will be part of your duties. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science Engineering or equivalent. With 12+ years of relevant experience, including at least 4 years in a leadership position, you should have strong expertise in developing system/embedded and debug tools. Proficiency in C, C++, and Python programming languages is required, along with hands-on experience in hardware and software debugging. A solid understanding of design principles and data structures is essential, and exposure or expertise in Machine Learning (ML) and Artificial Intelligence (AI) is preferred. Strong analytical, problem-solving, team collaboration, and communication skills are also necessary for this role. This is a regular job located in Bengaluru, Karnataka, India, with Shift 1 (India) as the primary shift. Please note that the above information is subject to change and may be updated as needed.,

As a Data Scientist in our team, you will be responsible for analyzing and interpreting data to identify trends and insights. Your role will involve developing and implementing data-driven solutions to address various business challenges. You will be expected to collect, clean, and transform data from multiple sources, as well as build and train machine learning models for prediction, classification, and other tasks. Communication is key in this role, as you will need to effectively communicate your findings and recommendations to stakeholders in a clear and concise manner. It is crucial to stay updated with the latest trends and technologies in the field of data science. You should also be capable of performing exploratory data analysis of raw data and conducting feature engineering when necessary. Proficiency in project tracking tools like JIRA or equivalent is required. Your competencies and skills should include excellent project management abilities encompassing planning, budgeting, resource allocation, and risk management. Proficiency in programming languages such as Python and R is essential. Basic knowledge of cloud platforms like AWS and Azure is preferred. Experience in forecasting using tools like SAP, Oracle, Power BI, and Qlik would be advantageous. Proficiency in Excel, including Power Pivot, Power Query, Macros, and Charts, is expected. Specific expertise for this role includes experience working in the automotive industry, particularly with quality assurance methodologies. Strong analytical and problem-solving skills are essential. You should be able to work both independently and collaboratively as part of a team. Excellent presentation and communication skills, both written and verbal, are necessary. The ability to problem-solve in an environment with unclear requirements and experience in Agile environments are also valuable assets for this position.,

We are looking for a detail-oriented and skilled Junior Data Analyst to join our dynamic team. Your role will be integral to the creation of Management Information (MI) Dashboards, driving intelligence and insights across our organization. The ideal candidate should have extensive experience in using Power BI and Microsoft Fabric, thriving in a demanding, data-led environment. You are expected to have a good understanding of Master Data Management & Data Science methodologies and apply them relevantly within the organization. You will be responsible for supporting the development of Management Information Dashboards by assisting in designing, developing, and maintaining interactive MI Dashboards using Power BI under guidance. Additionally, you will help in creating data models, basic DAX queries, and integrating data from various sources to support reporting needs. Your role will also involve supporting data analysis and reporting by identifying trends and insights from datasets that contribute to business decisions. You will use basic statistical techniques and tools to generate reports and dashboards, contributing to business intelligence initiatives and data-driven decision-making. Collaboration is key in this role as you will closely work with team members and stakeholders to understand data requirements, deliver data solutions, and enhance data literacy within the organization. You will also be involved in data preparation tasks using SQL, automating data extraction and transformation processes, and maintaining API connections for integrating data sources into dashboards and data systems. In your journey towards continuous learning and improvement, you will identify areas for personal and process enhancement, staying updated on data analysis techniques and BI tools to foster skills and drive innovation. You will also assist in following and improving data quality assurance processes to maintain accuracy and reliability of data used in reporting and analysis, performing data cleansing tasks, and monitoring data quality metrics. Furthermore, you will gain exposure to machine learning concepts, assist in statistical analyses, create data visualizations, and learn about big data technologies. Essential technical skills for this role include basic to intermediate proficiency in Power BI or similar BI tools, familiarity with SQL and APIs, data handling, data quality, and Excel skills including Pivot Tables and Power Query. If you are enthusiastic about data analysis, data quality management, and eager to learn and grow in a data-driven environment, this role presents an exciting opportunity to contribute to our organization's success.,

As an Intern in Full Stack Development at AgroLogi, a stealth start-up specializing in Data, AI/ML, and Digital Apps, you will have the exciting opportunity to contribute to building autonomous farm management app modules. Your role will involve utilizing open standard hardware, IOT sensors, computer vision, and machine learning, while leveraging Google Cloud and Open Source Platforms. In this position, you will be responsible for researching various topics within the Agri-tech domain, Robotics, and IOT to support the design and architecture of the SAAS product and edge devices. Additionally, you will play a key role in supporting knowledge management and company branding activities. This internship offers flexible working hours with specific short-term assignments, focusing on full-stack development of modules in the Farm Sense AI & IOT application for autonomous farm management and market integration. Key Skills Required for this role include proficiency in HTML, CSS, JavaScript, python (Django, Flask), and SQL. You should have a basic understanding of open standard hardware such as Raspberry Pi and Arduino, along with hands-on experience in lab projects. Familiarity with React.js, databases (preferably Postgres), data model design, cloud computing, machine learning, artificial intelligence concepts, and DevOps principles is essential. An ability to learn emerging technologies is also expected. Key Competencies Expected from you are Accountability, Problem Solving, Adaptability, and Collaboration. The Interview Process consists of three rounds - Design Thinking Assessment, Coding Assessment, and Fitment evaluation through a video or in-person interview. This Internship opportunity has a contract length of 6 months, and the benefits include a flexible schedule and the ability to work from home. Weekend availability is required for this position. If you are interested in this role, you should be willing to participate in take-home Design Thinking Assessments and Coding Assignments in the interview process. A Bachelor's degree is preferred for this position. The ideal candidate for this role should have at least 1 year of experience in SQL, Artificial Intelligence/Machine Learning, JavaScript, Raspberry Pi, and Python. A willingness to travel up to 25% is preferred, and the work location is in person. The Application Deadline for this position is 15/08/2025, with an Expected Start Date of 01/09/2025.,

Join us to lead data modernization and maximize analytics utility. As a Data Owner Lead at JPMorgan Chase within the Data Analytics team, you play a crucial role in enabling the business to drive faster innovation through data. You are responsible for managing customer application and account opening data, ensuring its quality and protection, and collaborating with technology and business partners to execute data requirements. In this role, you will document data requirements for your product and coordinate with technology and business partners to manage change from legacy to modernized data. You will model data for efficient querying and use in LLMs, utilizing the business data dictionary and metadata. Additionally, you will develop ideas for data products by understanding analytics needs and create prototypes for productizing datasets. You will also be responsible for developing proof of concepts for natural language querying and collaborating with stakeholders to rollout capabilities. Supporting the team in building backlog, grooming initiatives, and leading data engineering scrum teams will also be part of your responsibilities. Furthermore, you will manage direct or matrixed staff to execute data-related tasks efficiently. To be successful in this role, you must hold a Bachelor's degree and have at least 5 years of experience in data modeling for relational, NoSQL, and graph databases. Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions is crucial. Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) is also required. You should have the ability to balance short-term goals and long-term vision in complex environments. Knowledge of open data standards, data taxonomy, vocabularies, and metadata management is essential for this role. A Master's degree is preferred for this position to further enhance your qualifications and capabilities.,

In this role, you will have the opportunity to collaborate with various stakeholders including data stewards, OpCo stakeholders, IT professionals, data engineers, and data scientists to assess data requirements and address quality concerns. Your main focus will be to achieve consensus on AI use-case specifications through cross-functional collaboration. Additionally, you will work closely with engineering teams to validate data during pipeline development and model training, ensuring adherence to quality standards. It will be your responsibility to document data lineage and rules to support the pipeline and model development process. Maintaining clear documentation of analytics requirements, data standards, and best practices is essential to support scalable and well-governed data preparation for AI projects. You will also be responsible for conducting data profiling, cleansing, validation, and root cause analysis to ensure that supply chain master data is accurate, complete, consistent, and timely. To effectively communicate data quality issues to non-technical stakeholders, you will need to translate them into business impacts and recommend remediation strategies when necessary. The essential requirements for this role include effective collaboration with technical teams and business stakeholders from different operating companies. You should have a strong ability to interpret business goals and analytics requirements, translating them into actionable data quality criteria and plans. Previous experience in data quality, data management, or analytics roles, ideally within the supply chain, manufacturing, or related domains, is preferred. Demonstrated experience in managing supply chain data domains such as Material Master, Vendor Master, and Customer Master records is also valuable. A strong understanding of data quality concepts, profiling techniques, and root cause analysis is required for this role. Having previous experience in understanding data requirements and data preparation methodologies for Artificial Intelligence and Machine Learning applications or large-scale data initiatives would be advantageous. Navigating data management complexities within a decentralized or federated organizational structure involving multiple business units or operating companies is also a desirable skill. Join our team today and be a part of accelerating the real-life impact of tomorrow's science and technology. At Danaher, we value diversity and embrace the unique perspectives contributed by our associates, customers, and shareholders. Visit www.danaher.com for more information.,

Key Responsibilities: Install, configure, upgrade, and patch Oracle database software (single instance and RAC environments). Administer and monitor database performance, capacity, and security using Oracle tools (OEM, Data Guard, RMAN, etc.). Implement and manage database backup/recovery procedures and disaster recovery strategies. Troubleshoot complex database, performance, and application-related issues. Plan and implement database migrations and upgrades. Automate routine database administration tasks using scripting (Shell, PL/SQL, Python, etc.). Develop and optimize database structures for AI workloads and analytics, enabling efficient data integration with AI/ML tools. Collaborate with data science, AI, and development teams to design and support AI-driven applications and analytics in Oracle environments. Implement and support Oracle features related to AI, such as Oracle Machine Learning (OML), and integrate with other AI/ML platforms as needed. Ensure data quality, security, and compliance in support of AI-driven automation and analytics initiatives. Maintain database documentation and adhere to security and compliance requirements. Mentor junior DBAs and provide 24x7 support for critical production systems as needed. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field. 5+ years’ experience as an Oracle DBA in mission-critical environments. Expertise in Oracle versions 12c/19c and experience with RAC and Data Guard. Strong knowledge of performance tuning, backup/recovery, and high availability. Experience working with AI/ML workflows, Oracle Machine Learning, or related analytics platforms. Proficient in SQL, PL/SQL, and Linux/Unix environments. Familiar with ITIL, change management, and incident management processes. Oracle Certified Professional (OCP) certification preferred. Key Skills: Oracle RAC, Data Guard, OEM Cloud Control Oracle Machine Learning (OML) or experience supporting AI/ML workloads RMAN backup and recovery Database performance tuning Scripting (Shell, Python, etc.) Security, compliance, and auditing best practices Familiarity with data pipelines and AI/ML model integration Strong communication and documentation skills Key Responsibilities: Install, configure, upgrade, and patch Oracle database software (single instance and RAC environments). Administer and monitor database performance, capacity, and security using Oracle tools (OEM, Data Guard, RMAN, etc.). Implement and manage database backup/recovery procedures and disaster recovery strategies. Troubleshoot complex database, performance, and application-related issues. Plan and implement database migrations and upgrades. Automate routine database administration tasks using scripting (Shell, PL/SQL, Python, etc.). Develop and optimize database structures for AI workloads and analytics, enabling efficient data integration with AI/ML tools. Collaborate with data science, AI, and development teams to design and support AI-driven applications and analytics in Oracle environments. Implement and support Oracle features related to AI, such as Oracle Machine Learning (OML), and integrate with other AI/ML platforms as needed. Ensure data quality, security, and compliance in support of AI-driven automation and analytics initiatives. Maintain database documentation and adhere to security and compliance requirements. Mentor junior DBAs and provide 24x7 support for critical production systems as needed. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field. 5+ years’ experience as an Oracle DBA in mission-critical environments. Expertise in Oracle versions 12c/19c and experience with RAC and Data Guard. Strong knowledge of performance tuning, backup/recovery, and high availability. Experience working with AI/ML workflows, Oracle Machine Learning, or related analytics platforms. Proficient in SQL, PL/SQL, and Linux/Unix environments. Familiar with ITIL, change management, and incident management processes. Oracle Certified Professional (OCP) certification preferred. Key Skills: Oracle RAC, Data Guard, OEM Cloud Control Oracle Machine Learning (OML) or experience supporting AI/ML workloads RMAN backup and recovery Database performance tuning Scripting (Shell, Python, etc.) Security, compliance, and auditing best practices Familiarity with data pipelines and AI/ML model integration Strong communication and documentation skills

You will be joining the Model Risk Governance and Review Group (MRGR) in Bengaluru, where you will have the opportunity to engage in new model validation activities for all Data Science models related to artificial intelligence and machine learning across the Corporate and Investment Banking (CIB) sector. Your primary responsibilities will include evaluating the conceptual soundness of model specifications, assessing the reliability of inputs, conducting independent testing, and providing oversight on the usage and limitations of models. Your role will involve collaborating with Model Developers, Model Users, Risk, and Finance professionals to ensure that models are used appropriately within the business context. You will also be responsible for performing additional model review activities, maintaining the model risk control apparatus, and staying updated on the latest developments in the field of Data Science. To be successful in this position, you should hold a Ph.D. or Masters degree in a Data Science-oriented field such as Data Science, Computer Science, or Statistics. Additionally, you should have 2-4+ years of prior experience in areas such as Data Science, Quantitative Model Development, Model Validation, or Technology focused on Data Science, with hands-on experience in building and testing machine learning models. A strong understanding of Machine Learning and Data Science theory, techniques, and tools is essential, including knowledge of Transformers, Large Language Models, NLP, GANs, Deep Learning, OCR, XGBoost, and Reinforcement Learning. Proficiency in Python programming and experience with machine learning libraries such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and Pandas is required. Excellent writing and communication skills are crucial for this role, as you will be expected to write scientific texts, present logical reasoning clearly, and effectively interface with various functional areas within the organization on model-related issues. A risk and control mindset, with the ability to ask incisive questions, assess materiality, and escalate issues when necessary, is also highly valued.,

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team focuses on driving acquisitions, cross-sell, revenue growth & improvements in client experience. The team is responsible for extracting relevant insights, identifying business opportunities, converting business problems into analytical frameworks, utilizing big data tools and machine learning algorithms to build predictive models & other solutions, and designing go-to-market strategies for a variety of business problems. The role available is for an Assistant Vice President (C12) in the TTS Analytics team. Reporting to the VP or SVP leading the team, the role involves leading a team of data scientists and analysts. These individuals will be responsible for the full lifecycle of machine learning model development and deployment. The role also entails working on various data science projects throughout the year across the client life cycle - acquisition, engagement, client experience, and retention for the TTS business. This includes understanding business needs, designing, developing, and deploying machine learning models, as well as communicating insights and recommendations to stakeholders. The ideal candidate should have a strong understanding of machine learning principles, model development methodologies, and deployment strategies. Leveraging multiple analytical approaches, tools, and techniques to work on different data sources is essential to provide data-driven insights and machine learning solutions to business and functional stakeholders. To qualify for this role, candidates should possess a Bachelor's Degree with 7-10 years of experience in data analytics, a Master's Degree with 6-10 years of experience in data analytics, or a PhD. Essential qualifications include experience in marketing analytics, business problems related to sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention, expertise in various analytical methods, and hands-on knowledge of Data Science and Machine Learning. Candidates should be proficient in tools and platforms such as Python/R, PySpark, SQL, ML libraries like Scikit-learn, TensorFlow, and PyTorch, as well as have soft skills like clear communication, team management, coaching, and driving ideation on analytical projects. Experience in financial services, deep learning, knowledge of GenAI, and LLM are considered advantageous for this role. Proficiency in Tableau and experience in Hive are additional skills that would be beneficial. The candidate should be able to drive clear communication flow between business stakeholders and the team, translate analytical findings into key insights and actionable recommendations, manage high-performance teams, coach and mentor team members, tackle strategic business priorities, work with ambiguity, and contribute to organizational initiatives. This is a full-time role falling under the Decision Management job family group and Specialized Analytics (Data Science/Computational Statistics) job family. If you are a person with a disability and require accommodations, please review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,

As a Lead Python Engineer at Netra Labs, you will be responsible for leading the backend team to develop scalable, secure, and high-performance AI-powered applications. You will work closely with cross-functional teams to ensure seamless integration between AI models, data pipelines, and enterprise applications. Your key responsibilities will include leading the backend development team, designing and maintaining scalable backend services using Python and FastAPI, optimizing databases for efficient data storage and retrieval using MongoDB, integrating AI models and data science workflows into enterprise applications, managing AWS cloud services, automating deployment pipelines, ensuring security, reliability, and system performance optimization, as well as collaborating with data scientists, front-end engineers, and the product team to build AI-driven solutions. To qualify for this role, you should have 4-5 years of experience in backend development with Python, strong proficiency in FastAPI or other modern Python web frameworks, hands-on experience with AWS services, knowledge of Jenkins and CI/CD pipelines, data science expertise, understanding of RESTful API design, microservices, and event-driven architecture, experience in performance tuning, caching, and security best practices, proficiency in Docker and containerized applications, excellent problem-solving skills, and strong communication abilities. Preferred qualifications include experience with Machine Learning frameworks like TensorFlow or PyTorch, knowledge of GraphQL, WebSockets, or gRPC, familiarity with Terraform or Kubernetes for infrastructure as code, and experience with big data processing frameworks such as Apache Spark. If you are passionate about backend development, AI, and cloud computing, and possess the required skills and qualifications, we encourage you to join our dynamic team at Netra Labs and contribute to building innovative AI solutions.,

You should have a solid understanding of statistics with 2 to 3 years of experience. Your mathematical abilities should include proficiency in linear algebra, calculus, and probability, along with expertise in both applied and theoretical statistics. Strong computer skills are essential, as well as knowledge of languages like R, SAS, C, C++, Python, and Java. Additionally, machine learning skills are required for this role. In terms of soft skills, you should be able to effectively communicate statistical findings to individuals without a statistical background. Strong analytical and problem-solving abilities are necessary, along with the capability to work collaboratively in a team environment. Leadership skills, collaborative skills, and critical thinking skills are also important for this position. The ideal candidate will have a degree in M.Sc(Stats), B.Sc(Stats), B.Tech(Data Science), or any other relevant degree in Data Science. This is a full-time position that requires a strong foundation in statistics, excellent computer skills, and the ability to work effectively both independently and as part of a team.,

At AMD, we are dedicated to leveraging AMD technology to make a positive impact on our industry, communities, and the world. Our goal is to create innovative products that drive the advancement of next-generation computing experiences, serving as the foundational components for data centers, artificial intelligence, PCs, gaming, and embedded systems. The AMD culture is characterized by a commitment to pushing the boundaries of innovation to address the most significant global challenges. We prioritize excellence in execution while fostering a work environment that values direct communication, humility, collaboration, and the inclusion of diverse perspectives. Joining AMD means being part of a team that is driving progress forward. As a part of the AI Models team at AMD, we are seeking talented machine learning scientists and engineers who are passionate about exploring and innovating training and inference techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation, and other foundational models. This role involves contributing to a world-class research and development team focused on efficient and scalable pre-training, instruction tuning, alignment, and optimization. As an early member of our team, you will have the opportunity to shape our direction and strategy in fulfilling this vital mission. The ideal candidate for this role is someone who is enthusiastic about staying up-to-date with the latest research, generating innovative ideas, and implementing them through high-quality code to push the boundaries of scale and performance. We are looking for individuals with a strong theoretical background and practical experience in developing LLMs, LMMs, and/or diffusion models. Familiarity with hyper-parameter tuning methods, data preprocessing and encoding techniques, and distributed training approaches for large models is essential. Key Responsibilities: - Pre-train and post-train models on large GPU clusters while optimizing for various trade-offs. - Enhance Generative AI model architectures, data, and training techniques to advance the state-of-the-art. - Boost training and inference speed across AMD accelerators. - Develop agentic frameworks to address diverse problem sets. - Disseminate research findings through top-tier conferences, workshops, technical blogs, and engage with academia and open-source ML communities. - Drive continuous improvement of infrastructure and development ecosystem. Preferred Experience: - Proficiency in Python for development and debugging. - Experience with deep learning frameworks such as PyTorch or TensorFlow, and distributed training tools like DeepSpeed or PyTorch Distributed. - Knowledge of fine-tuning methods (e.g., RLHF & DPO) and parameter-efficient techniques (e.g., LoRA & DoRA). - Solid understanding of various transformers and state space models. - Demonstrated publication record in top-tier conferences, workshops, or journals. - Strong communication and problem-solving skills. - Enthusiasm for continuous learning and innovation in the field. Academic Credentials: - Advanced degree (Masters or PhD) in machine learning, computer science, artificial intelligence, or related fields. Exceptional candidates with Bachelor's degrees may also be considered. For information on benefits offered, please refer to the AMD benefits overview.,

Quance Research Capital LLP, a leading quantitative trading firm at the forefront of financial markets leveraging advanced technologies, is currently seeking an experienced Quantitative Researcher to join our dynamic team. As a Quantitative Researcher, you will play a pivotal role in developing and testing automated quant trading strategies utilizing sophisticated statistical techniques. We are specifically looking for talent from renowned institutions such as the top IITs to contribute as Quantitative Researchers. In this role, you will have the opportunity to design high-frequency trading strategies with access to market data from global exchanges. Your responsibilities will include analyzing data, identifying patterns, exploring market inefficiencies, and devising algorithms to capitalize on these time-sensitive opportunities. It is crucial that the algorithms are highly efficient as these opportunities exist for only a fraction of a second. Key Responsibilities: - Designing and conceptualizing high-frequency trading strategies - Developing and enhancing mathematical models - Modelling and analyzing large volumes of data from various exchanges daily - Exploring market microstructure to identify trading signals and opportunities - Collaborating on improving existing trading strategies - Backtesting and implementing trading models in live trading environments - Conducting research and statistical analysis to refine trading signals monetization systems - Managing a diverse portfolio and generating business-critical reports Required Skills: The ideal candidate for this role is a self-motivated individual with a strong coding background and a keen interest in financial markets and commodities. Key requirements include: - A deep quantitative/programming background with a graduate degree in Statistics, Engineering, Computer Science, Mathematics, Economics, or a related quantitative field - Minimum of 2 years of experience, preferably in High-Frequency Trading (HFT)/Algo firms - Strong knowledge of probability and statistics, including machine learning, time-series analysis, and pattern recognition - Proficiency in Python, R, and C++ - Familiarity with data science, machine learning, and market microstructure - Working knowledge of Linux is preferred - Prior trading experience is advantageous but not mandatory - Experience in a data-driven research environment - Strong interest in Machine Learning/AI techniques If you possess expertise in ML-based systems, a passion for financial markets, and trading, we encourage you to apply for this exciting opportunity. The role requires excellent analytical skills, attention to detail, the ability to work under pressure, independently, and collaboratively within a team environment.,