15431 Machine Learning Jobs - Page 9

You should have hands-on experience working with Marketing Domain datasets and at least 2 years of applicable work experience in Machine Learning. With 5+ years of hands-on experience in Snowflake and 2+ years of experience on Generative AI projects, you should also possess proficiency with the Python Machine Learning stack, including Pandas, and knowledge of experimental design and analysis of results. Demonstrating experience in applying Machine Learning, both Deep Learning (PyTorch) and Classical ML (Scikit-Learn), is essential. Furthermore, you should have experience in leading Machine Learning teams to deploy and enhance ML features in production and collaborating in cross-functional teams to deliver ML solutions at scale. Familiarity with Large Language Models, particularly in interactive dialog systems and chatbots, as well as experience deploying NLP systems like Information Retrieval (IR) and Recommender Systems (RecSys) are crucial. Preferred qualifications include proficiency in SQL and experience with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena. Advanced software engineering skills, including data structures and algorithms, are desired. Experience in data pipelines and model serving in AWS, as well as MLOps on AWS at scale, is an advantage. Familiarity with AWS Cloud Formation templates, Agile and SCRUM methodologies, and working with PowerBI to develop dashboards are considered positives. Additionally, analytical skills related to unstructured datasets, a successful track record of extracting value from large, disconnected datasets, and experience working with agile, globally distributed teams are beneficial.,

You will be joining Quantic Tech Analysis Private Limited in Chennai as a full-time Junior Computer Vision Engineer. Your primary responsibility will be to work on pattern recognition, computer science, data science, and computer vision tasks to assist in the creation of cutting-edge solutions. You should have strong Python programming skills and a background in pattern recognition and computer vision. Ideally, you should possess expertise in robotics, computer science, and data science. A solid foundation in computer vision algorithms and applications is required for this role. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred. Additionally, experience with AI and machine learning technologies is beneficial. The ability to collaborate effectively within a team environment is essential for success in this role.,

You will be responsible for solving complex data problems using deep learning techniques in computer vision OR Natural Language processing. Your primary tasks will include delivering production-ready models, meeting project requirements and timelines, identifying success metrics, and monitoring them to ensure high-quality output for the client. Additionally, you will be expected to share ideas and learnings with the team. To succeed in this role, you must have at least 2+ years of working experience with Python programming. Applied experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks, and machine learning expertise with exposure to frameworks like Tensorflow, Keras, pytorch, Caffe, MXNet is mandatory. You should also possess a minimum of 2 years of experience in the NLP/Computer vision domain. Exposure to DL Model optimization, transfer learning techniques, and SOTA algorithms in computer vision &/or Natural language processing will be beneficial for tasks like Object detection, tracking, classification, text summarization, etc. Strong verbal and written communication skills for effective interactions with the team and clients are essential. In this role, you will enjoy a fun workplace environment with a flat job hierarchy, flexible work hours, casual dress code, and a disciplined workplace environment. Additionally, you will have opportunities for learning & development, team cohesion, task autonomy, smooth reporting, and extensive training. The company's HR policies include the POSH Act for inclusivity, a flexible leave policy, monthly paid leaves, and bonus & incentives. You will also be motivated through team appreciation, individual awards, performance rewards, and salary appraisals.,

As a Solution Consultant at Nokia, you will be instrumental in shaping the solution strategy and architecture. Your primary responsibility will be collaborating with various teams to engage customers, understand their unique requirements, and drive innovative solutions that deliver value. By crafting compelling business cases, you will differentiate Nokia in the telecommunications market and focus on ensuring customer success by exceeding their business needs. Your contributions and learning opportunities will include collaborating with pre-sales, sales, commercial, and delivery teams to generate a strong pipeline supporting quota achievement. You will delve into understanding customer pain points, key performance indicators (KPIs), and business objectives to identify and qualify new opportunities. Emphasizing Nokia CNS value, you will demonstrate business benefits and return on investment effectively, while also working with alliance partners to enhance sales efforts. Key Skills and Experience: - 15+ years of telecommunications experience with a focus on CNS (Core & Application) domains. - Proven track record in designing and delivering complex solutions for telco and enterprise customers. - Strong domain knowledge in OSS, Mobile Voice/Data Core, AIOps, Security, and autonomous operations. - Excellent stakeholder engagement and consultative selling skills. - Solid pre-sales background with end-to-end architecture experience. Desirable Skills: - Previous experience with XaaS business models. - Understanding of Machine Learning / AI platforms. - Familiarity with telco infrastructure, including assurance, service quality, inventory, and fulfillment solutions. - Proficiency in cloud-native architectures and automation frameworks. Join Nokia in creating technology that fosters global collaboration and drives positive change in the world. At Nokia, you will have the opportunity to innovate and lead in mobile, fixed, and cloud networks, making a meaningful impact on people's lives and contributing to a more productive, sustainable, and inclusive world. Our inclusive and empowering work culture values new ideas, encourages risk-taking, and celebrates authenticity. Nokia offers continuous learning opportunities, well-being programs, support through employee resource groups, mentoring initiatives, and diverse teams that thrive in an inclusive environment. We are committed to inclusion and equal opportunity employment, with recognitions from Ethisphere and Bloomberg for our commitment to gender equality and ethical business practices. Join our growth-focused team at Nokia, where we champion cloud-native software and as-a-service delivery models to create value for communication service providers and enterprise customers. Our diverse team of innovators is dedicated to pushing boundaries and turning impossible into possible.,

As a Computer Science (BCA/MCA) Department Faculty, your primary responsibility will be to prepare curriculum and instruction for the department. You will need to plan and execute various department events and activities while mentoring students in their academic achievements and prospects. Your role will involve delivering Classroom Lectures and Lab Sessions on core Computer Science subjects such as Programming (Android/Java/Python/Unix), DBMS, OS, and Networks. Additionally, you will be arranging guest lectures and workshops to enhance the learning experience for students. It will be your duty to formulate a well-balanced academic program that fosters research and meets the industry's requirements. You are expected to promote scholarly excellence that leads to practical products and services for the marketplace and society. Adopting the best practices from leading universities and corporations worldwide will also be part of your responsibilities. Your leadership will play a crucial role in earning recognition for the department through participation in conferences, events, and competitions. Furthermore, you will establish a robust internship and placement program within the department to enhance students" career prospects. Other responsibilities include financial planning, resource allocation, performance evaluations, and fostering a vibrant work culture within the department. Qualifications & Experience: - Bachelor or Master's degree in Computer Science, Engineering, or a related field. - Proven software development experience in programming languages like Android, Java, Python, Unix, DBMS, OS, and Networks. - Working experience in advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Cybersecurity, Data Science, and Cloud Computing will be advantageous. - A doctoral qualification or equivalent expertise in the relevant discipline is a plus. - A minimum of 2-10 years of teaching experience in a reputable institution with a proven track record is required for this position.,

The Computer Science and Engineering Expert position at KPR Institute of Engineering and Technology is an exciting opportunity to become a part of our esteemed team of educators. Located in Coimbatore, India, KPRIET is a globally connected engineering institute that emphasizes industry-informed teaching and innovative research. We are dedicated to enhancing the skills and knowledge of our students to meet the evolving global needs and nurture professionals who can adapt to change. Our graduates are equipped to be global citizens who can positively impact society. We are currently looking for candidates for the following designations: - Professor - Associate Professor - Assistant Professor Specializations in the following areas are highly sought after: - Artificial Intelligence - Machine Learning - Data Science - Cybersecurity - Blockchain To be considered for this position, applicants must meet the following requirements: - Possess a M.E./M.Tech or Ph.D. degree; candidates with MCA or M.Sc qualifications are not recommended to apply. - Demonstrate an outstanding track record in academics or industry, along with publications in reputable journals. - Candidates with proficiency in multiple languages and those hailing from Jammu & Kashmir, Punjab, Himachal Pradesh, and the North Eastern states of India are given preference. - Qualifications and experience should align with AICTE norms. The salary for this position will be commensurate with the candidate's qualifications and experience. Join us at KPR Institute of Engineering and Technology and be a part of our mission to develop skilled professionals who can meet global demands and contribute positively to society.,

As a Product Manager - App at Luna, you will be responsible for leading the health-tech experience and contributing to the development of LifeOS. Your primary focus will involve collaborating with design, engineering, CX, and the beta community to enhance features that are not only elegant and evidence-based but also encourage habit-forming behaviors. Your key responsibilities will include owning and advancing the Luna App roadmap, which encompasses onboarding, dashboard design, insights, and user journeys. Additionally, you will lead the product discovery and delivery of impactful features such as Energy OS, Circadian Rhythm, Sleep Recovery, and an AI-based health layer. It is essential to have a strong grasp of building algorithms and translating complex physiological and behavioral science into user-friendly app flows. Furthermore, you will be expected to utilize data from platforms like Amplitude, Firebase, and Mixpanel to analyze user behavior, drive enhancements in app retention, feature adoption, and session engagement. Your role will also involve engaging with beta groups and digital communities to gather feedback and ensure continuous improvement. To qualify for this position, you must have a minimum of 4-8 years of product management experience, with at least 2 years of experience leading a consumer mobile app. A degree in Data Science, ML, or Statistics from a Tier 1 college is required. Additionally, a personal interest in areas such as quantified self, training, mindfulness, sleep science, or longevity is highly preferred. Experience in deep healthtech, wellness, wearables, or fitness, along with exposure to AI productization and health APIs, will be advantageous. The successful candidate will possess a deep understanding of data and algorithms, with a proven track record of improving app retention, adoption, or ratings through strategic product enhancements. Proficiency in mobile UX, behavioral design, habit loop creation, and data tools like Amplitude and Firebase is essential. You should also demonstrate clarity of thought, independence in decision-making, and the ability to collaborate effectively with cross-functional teams. In return, you will have the opportunity to be at the forefront of wearable intelligence, make a significant impact on a rapidly growing global product, and contribute to building the world's most advanced LifeOS. Competitive compensation along with ESOPs are part of the package for this role.,

The Data Science Associate role at CRM Asia based in Bengaluru involves supporting the data science team in developing, implementing, and maintaining data-driven solutions that align with business objectives. Your duties include working with large datasets, creating data models, and analyzing data to offer insights and recommendations. You will collaborate with the data science team to address business needs through data-driven solutions. This will involve collecting, cleaning, and preprocessing large and complex datasets from various sources. Additionally, you will develop statistical models and predictive models to identify patterns and trends in data and analyze data to discover insights for business enhancement. Furthermore, you will communicate your findings and recommendations to key stakeholders in a clear and concise manner. Data visualization tools will be utilized to present complex data in an easily understandable format. It is essential to stay updated on industry trends and advancements in data science. Qualifications for this role include a Bachelor's or Master's degree in computer science, statistics, mathematics, or a related field. Proficiency in programming languages such as Python or R, experience with data manipulation tools like SQL and Excel, and knowledge of statistical modeling and machine learning techniques are required. Familiarity with data visualization tools such as Tableau or Power BI, excellent problem-solving skills, and strong communication and collaboration abilities are also necessary. For this position, proficiency in at least one programming language like Python, R, or SQL is essential. A solid understanding of statistics and mathematics is crucial, including knowledge of probability theory, statistical inference, and basic linear algebra. Data wrangling skills involving cleaning, transforming, and merging data, as well as knowledge of machine learning concepts and data visualization tools, are important requirements. Communication skills are key for explaining findings to stakeholders, and problem-solving skills are needed to identify and frame problems in a data-driven manner. It is vital to be aware of potential fraudulent job offers and understand that Capillary Technologies does not extend unsolicited employment offers or request fees from prospective employees during the recruitment process. CRM Asia is committed to an inclusive recruitment process and equality of opportunity for all job applicants.,

Are you searching for an exciting opportunity to become part of a dynamic and expanding team in a fast-paced and challenging environment This unique chance allows you to collaborate with the Business team to provide a comprehensive view. As a Risk & Compliance, Quantitative Research Associate within our team, your primary objective will involve developing and maintaining advanced mathematical models, cutting-edge methodologies, and infrastructure necessary for valuing and hedging financial transactions. You will engage with trading desks, product managers, and technology teams to craft analytical tools and quantitative trading models. Furthermore, you will work alongside various control functions to ensure regulatory compliance. The mission of our team is to create and uphold sophisticated mathematical models, innovative methodologies, and infrastructure essential for the valuation and hedging of financial transactions. You may collaborate with trading desks, product managers, and technology teams to design analytical tools and quantitative trading models. Your involvement with different control functions will ensure that the business adheres to established regulatory requirements. Responsibilities: - Develop and maintain sophisticated mathematical models for valuing and hedging financial transactions, ranging from basic flow products to intricate derivative deals - Enhance the performance of algorithmic trading strategies and advocate for advanced electronic solutions for global clients - Work with risk functions to create models for market and credit risks faced by the bank across various business lines - Construct innovative methodologies and infrastructure to implement models in production Qualifications, Skills, and Capabilities: - Possess a degree in engineering, financial engineering, computer science, mathematics, statistics, econometrics, or related quantitative fields, with strong quantitative, analytical, and problem-solving abilities - Proficient in calculus, linear algebra, probability, and statistics - Demonstrated expertise in at least one object-oriented programming language such as C++ or Java, along with proficiency in Python - Knowledge of data structures and algorithms - Ability to work independently and collaboratively in a team setting - Strategic and creative thinking when confronted with challenges and opportunities - Excellent communication skills, both verbal and written, to effectively engage and influence partners and stakeholders Preferred Qualifications and Skills: - Familiarity with markets experience and general trading concepts and terminology - Understanding of various financial products and asset classes like Fixed Income, Credit, Commodities, and Equities - Background in computer algorithms, Python, and specialization in low-level systems (operating systems, compilers, GPUs, etc.) - Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be advantageous.,

As a Senior Data Scientist at CRM Asia in Bengaluru, you will play a crucial role in leading complex data projects and delivering insights to clients. You will be responsible for developing and implementing data-driven solutions, collaborating with clients to understand their business needs, and creating statistical models to analyze complex data sets. Moreover, you will have the opportunity to mentor junior data scientists, stay updated with the latest industry trends in data science and analytics, and contribute to the growth and success of the organization. Your responsibilities will include: - Leading the development and implementation of data-driven solutions for clients - Collaborating with clients to understand their business needs and develop tailored solutions - Developing statistical models and algorithms to analyze complex data sets - Analyzing and interpreting data to identify patterns and trends - Communicating insights and findings to clients effectively - Mentoring and training junior data scientists on technical and client presentation skills - Staying up-to-date with the latest industry trends and technologies in data science and analytics To qualify for this role, you should have: - A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field - 3+ years of experience in data science or analytics - Strong programming skills in Python and SQL - Experience with data visualization tools such as Tableau, PowerBI, or QlikView (preferred) - Experience with SQL and relational databases - Strong client presentation and communication skills - Ability to lead a team and collaborate with other departments - Strong problem-solving skills and attention to detail In addition to the technical qualifications, you should possess advanced statistical analysis skills, proficiency in machine learning techniques, expertise in data wrangling, programming proficiency in Python, R, and SQL, data visualization capabilities, business acumen, effective communication skills, leadership abilities, project management skills, and a passion for continuous learning. If you are looking for a challenging and rewarding career in data science and meet these qualifications, we encourage you to apply for this position at CRM Asia. We offer competitive compensation, benefits, opportunities for career advancement, and professional development to help you excel in your data science journey.,

The ideal candidate for the position of AL/ML Architect should possess a B.SC, B.E/B.Tech./M.E./M.S./M.Tech degree with a strong academic record. With at least 10 years of overall experience, including 4-5 years in an Architect role, the candidate should also have 4+ years of hands-on experience applying statistical/ML algorithms and techniques to real-world data sets. Additionally, 4+ years of experience as a developer working on scalable and secure applications is required, along with 2+ years of experience independently designing core product modules or complex components. Proficiency in GenAI is a must-have for this role. Key Responsibilities: The responsibilities of this role include designing and overseeing the architecture of ML systems, encompassing data pipelines, model selection, deployment strategies, and ensuring scalability and performance. The candidate should have a strong understanding of AI algorithms, data engineering, and software architecture. Collaboration with cross-functional teams to translate business needs into effective ML solutions is essential. Defining the architecture of ML systems, from data ingestion to deployment pipelines, and selecting appropriate ML algorithms based on data characteristics and business objectives are crucial aspects of the role. Designing and implementing data pipelines for data collection, cleaning, transformation, and feature engineering is also a key responsibility. Ensuring that ML systems can handle large volumes of data and deliver efficient predictions is vital. The candidate should have in-depth knowledge of multiple technological and architectural areas, applicable processes, methodologies, standards, products, and frameworks. Defining and documenting architecture, capturing non-functional requirements, preparing estimates, and defining technical solutions to proposals are part of the role. Providing technical leadership, mentoring a team of developers, and collaborating with multiple teams to make technical decisions are essential aspects. Practices such as reuse, defect prevention, process optimization, automation, and productivity enhancement should be adopted. Skills: The candidate should have expert knowledge of languages such as Python, proficiency in Probability, Statistics, and Linear Algebra, and proficiency in Machine Learning, Deep Learning, NLP (GenAI is an added advantage). Familiarity with data science platforms, tools, and frameworks is required. Designing scalable processes for collecting, manipulating, presenting, and analyzing large datasets in a production-ready environment is essential. Experience with large volumes of data, algorithms, and prototyping is necessary. Knowledge of Nifi, Kakfa, HDFS, Big Data, MongoDB, Cassandra, and CI/CD pipelines with tools like GIT, Jenkins, Maven, Ansible, Docker is preferred. Expertise or appreciation in Security products such as End-point detection, protection and response, Managed detection and response is also desirable for this role.,

At PwC, the focus within risk and compliance is on maintaining regulatory compliance and managing risks for clients, providing advice and solutions. The team assists organizations in navigating complex regulatory environments and enhancing internal controls to effectively mitigate risks. As a risk management generalist at PwC, you will offer advisory and practical support across various specialized risk and compliance areas. In this role, being driven by curiosity is key, as you are expected to be a reliable and contributing member of a team. The fast-paced environment requires you to adapt to working with diverse clients and team members, each presenting unique challenges. Every experience serves as an opportunity for learning and growth. Taking ownership and consistently delivering quality work to drive value for clients and team success are essential. As you progress within the firm, you establish a brand for yourself, creating more opportunities. Some key skills, knowledge, and experiences required for this role include: - Applying a learning mindset and taking ownership of personal development. - Valuing diverse perspectives, needs, and feelings of others. - Developing habits to sustain high performance and unlock potential. - Actively listening, asking clarifying questions, and articulating ideas clearly. - Seeking, reflecting on, acting upon, and providing feedback. - Gathering information from various sources to analyze facts and detect patterns. - Demonstrating understanding of business operations and building commercial awareness. - Learning and applying professional and technical standards, adhering to the firm's code of conduct and independence requirements. - Assisting in developing and implementing GenAI models for automating risk assessments and compliance reporting. - Collaborating with subject matter experts to identify opportunities and introduce innovative solutions in SRC services. - Designing and implementing low-code workflows using Power Automate and integrating them with Microsoft 365 tools for process automation. - Evaluating and adjusting pre-trained models to align with SRC-specific language and compliance needs. - Staying updated on advancements in AI, LLMs, prompt engineering, and automation platforms relevant to cybersecurity and compliance. Requirements for the position include: - Proven experience in designing and implementing Generative AI (GenAI) and Machine Learning (ML) solutions for complex problems, preferably in cybersecurity, risk, or regulatory domains. - Deep expertise in large language models (LLMs), prompt engineering, embeddings, and text-based AI applications. - Proficiency in GenAI platforms like Azure OpenAI, Gemini, and integration frameworks for enterprise use. - Experience integrating GenAI solutions with Microsoft Power Platform to drive intelligent automation in business workflows. - Strong knowledge of machine learning concepts, including supervised, unsupervised, and generative models. - Hands-on experience with ML development frameworks such as NLP and Transformers. - Strong coding skills in Python for building scalable AI/ML tools and APIs. - Understanding of responsible AI principles and best practices in AI deployment. Desired qualifications include: - Hands-on experience with machine learning and GenAI technologies in real-world applications. - Relevant certifications such as Azure AI Engineer Associate are preferred. The role requires 2-3 years of overall experience in process automation/innovation, with at least 1-2 years in developing Gen AI models. The preferred educational background includes BE / B Tech / MCA / MS / MBA in Computer and Information Science or AI/ML. Additional Information: - Travel Requirements: Not Applicable - Line of Service: Advisory - Industry: Consulting - Location: Bangalore, Hyderabad, Mumbai, Kolkata,

At PwC, our team in audit and assurance focuses on providing independent and objective assessments of financial statements, internal controls, and other assurable information to enhance credibility and reliability for stakeholders. We evaluate compliance with regulations, assess governance and risk management processes, and related controls. As part of the data, analytics, and technology solutions team, you will assist clients in developing solutions that build trust, drive improvement, and detect, monitor, and predict risks. Your work will involve utilizing advanced analytics, data wrangling technology, and automation tools to leverage data and establish the right processes for clients to make efficient decisions based on accurate and trustworthy information. You are expected to be driven by curiosity and be a reliable team member in a fast-paced environment. Working with various clients and team members will present different challenges and scope, providing opportunities for learning and growth. Taking ownership and consistently delivering quality work that adds value for clients and contributes to team success is crucial. Building a personal brand within the firm will open doors to more opportunities for you. As an Associate, your responsibilities include designing and developing ways to automate and reimagine audits, implementing innovative technologies such as Alteryx, SQL, Python, Power BI, and PowerApps. You will develop a strong understanding of the role of data and analytics in modern audits and work on technical assignments to enhance skills in data analytics and visualization. Client engagements, data management, analytics and reporting, advanced analytics, and building relationships with engagement teams and clients are key aspects of your day-to-day responsibilities. Preferred qualifications for this role include a Bachelor's or Master's degree in Computer Science, Data Analytics, or Accounting with a minimum of 1 year of relevant experience. Candidates with Big 4 or equivalent experience are preferred. Essential skills required include market credentials in data & analytics, stakeholder management, project management, analytical and problem-solving capabilities, and a long-term career ambition at PwC. Desirable skills include finance process knowledge, audit experience, use of technology in data & analytics, and experience working in financial reporting, financial accounting, regulatory compliance, or internal audit. Technical skills needed for this role encompass data transformation and modeling, data storage and querying, data visualization, understanding data quality issues, data cleansing, robotics, finance/accounting understanding, and knowledge of current data science software platforms.,

Lead the development and design of scalable and efficient bot solutions utilizing Microsoft Copilot Studio and Bot Framework. Collaborate closely with product owners and business stakeholders to accurately define requirements and translate them into effective conversational AI solutions. Leverage deep understanding of C#, .NET, Node.js, or Python to build robust and scalable bot solutions. Proficiently utilize Microsoft Copilot Studio, Microsoft Bot Framework, Azure Bot Services, Azure OpenAI (Copilot), and Power Virtual Agents (PVA) to create engaging and user-friendly conversational experiences. Integrate bots seamlessly with popular messaging platforms like Microsoft Teams, Slack, and others. Harness the power of Azure Cognitive Services (LUIS, QnA Maker, Speech API) to implement advanced natural language processing features. Effectively utilize Power Automate, Azure Logic Apps, and APIs to extend the capabilities of PVA and bot solutions. Implement robust CI/CD pipelines using Azure DevOps to streamline development and deployment processes. Apply strong analytical and problem-solving skills to identify and resolve complex technical challenges. Stay up-to-date with the latest advancements in conversational AI and machine learning to continuously improve bot solutions. Foster a culture of innovation by exploring new technologies and techniques to enhance user experiences. Collaborate effectively with cross-functional teams, including product managers, designers, and developers, to ensure alignment and successful project delivery. Communicate technical concepts clearly and concisely to both technical and non-technical stakeholders. Actively contribute to a positive and collaborative team environment. Required Skills and Qualifications: 5+ years of software development experience, with 3+ years in conversational AI/bot development. Hands-on experience with Microsoft Copilot studio, Microsoft Bot Framework, Azure Bot Services, Azure OpenAI (Copilot), and Power Virtual Agents (PVA). Strong expertise in C#, .NET, Node.js, or Python for building bot solutions. Experience in integrating bots with Microsoft Teams, Slack, and other messaging platforms. Experience with Azure Cognitive Services (LUIS, QnA Maker, Speech API) for advanced NLP features. Knowledge of Power Automate, Azure Logic Apps, and APIs for extending PVA and bot functionalities. Proficiency in implementing CI/CD pipelines using Azure DevOps. Preferred: Certification in Microsoft Power Platform or Azure technologies. Experience with OpenAI models, AI ethics, and data privacy considerations in AI systems. Familiarity with natural language processing (NLP) and machine learning techniques. Additional Skills: Strong problem-solving and analytical skills. Excellent communication and leadership abilities. Ability to work in a fast-paced, collaborative environment. Benefits: Opportunities for growth and career development. Work with cutting-edge AI and chatbot technologies.,

You are seeking a Principal Machine Learning Engineer to join our team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will collaborate with Product and Engineering teams to address challenges and discover new business opportunities. Your role will involve applying quantitative analysis, modeling, and data mining to support informed product decisions for PubMatic. In this position, your responsibilities will include conducting in-depth analysis to optimize product KPIs, utilizing statistics, modeling, and machine learning to enhance system efficiency and relevance algorithms, analyzing data to make product recommendations and conduct A/B experiments, working closely with cross-functional teams to identify trends and solve problems, and collaborating with stakeholders throughout the end-to-end analysis process. The ideal candidate should have at least seven years of hands-on experience in designing Machine Learning models using statistical packages like R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib. You should have the ability to mentor team members effectively, articulate product questions, and use statistics to derive solutions. Proficiency in SQL for data extraction and ETL flow design, along with a background in an interdisciplinary/cross-functional field, is preferred. An interest in data, metrics, analysis, trends, and practical knowledge of measurement, statistics, and program evaluation is essential. Strong problem-solving skills, sound business judgment, and the ability to translate analysis results into actionable business recommendations are also required. Additionally, candidates should hold a bachelor's degree in engineering (CS / IT) or an equivalent degree from reputable Institutes / Universities. PubMatic operates on a hybrid work schedule (3 days in office and 2 days remote) to foster collaboration, innovation, and productivity. Benefits include paternity/maternity leave, healthcare insurance, broadband reimbursement, a well-stocked kitchen, catered lunches, and more. PubMatic is a leading digital advertising platform that offers transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Founded in 2006, PubMatic enables content creators to run a profitable advertising business, reinvesting in the diverse content consumers demand.,

As a Machine Learning Manager at our company, you will be responsible for leading a high-performing team and driving the development of innovative machine learning solutions. Your expertise in machine learning techniques, programming languages like Python, R, Java, and Scala, data structures, data modeling, and software architecture will be crucial for success in this role. Your role will involve developing and implementing machine learning models to solve complex business problems, collaborating with cross-functional teams to translate business objectives into technical solutions, and designing scalable machine learning systems. You will also conduct exploratory data analysis, feature engineering, and model evaluation, staying updated on the latest advancements in machine learning research and technologies. In addition to technical excellence, strong leadership capabilities are essential in this role. You will be required to mentor junior team members, drive best practices in coding, testing, and documentation, and lead end-to-end machine learning initiatives aligned with business goals. Your expertise in defining scalable ML architectures, selecting appropriate tools and frameworks, and leading cross-functional teams to deliver impactful ML solutions will be critical. The preferred candidate for this position will have at least 6 years of experience in Machine Learning, with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in programming languages, hands-on experience with machine learning frameworks, and a solid understanding of data structures and software architecture are required. Experience with MLOps and MLaaS is highly advantageous, along with strong problem-solving skills and excellent communication abilities. Joining our team will offer you the opportunity to focus on impactful tasks, work in a flexible and supportive environment, maintain a healthy work-life balance, and collaborate with a motivated and goal-oriented team. You will benefit from a competitive compensation package, work with cutting-edge technologies, and see your work make a tangible impact on the lives of millions of customers.,

You will be responsible for designing and developing data solutions using Elasticsearch/OpenSearch, integrating with various data sources and systems. Your role will involve architecting, implementing, and optimizing data solutions, along with applying your expertise in machine learning to develop models, algorithms, and pipelines for data analysis, prediction, and anomaly detection within Elasticsearch/OpenSearch environments. Additionally, you will design and implement data ingestion pipelines to collect, cleanse, and transform data from diverse sources, ensuring data quality and integrity. As part of your responsibilities, you will manage and administer Elasticsearch/OpenSearch clusters, including configuration, performance tuning, index optimization, and monitoring. You will work on optimizing complex queries and search operations in Elasticsearch/OpenSearch to ensure efficient and accurate retrieval of data. Troubleshooting and resolving issues related to Elasticsearch/OpenSearch performance, scalability, and reliability will be a key aspect of your role, requiring close collaboration with DevOps and Infrastructure teams. Collaboration with cross-functional teams, including data scientists, software engineers, and business stakeholders, will be essential to understand requirements and deliver effective data solutions. You will also be responsible for documenting technical designs, processes, and best practices related to Elasticsearch/OpenSearch and machine learning integration, providing guidance and mentorship to junior team members. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Strong experience in designing, implementing, and managing large-scale Elasticsearch/OpenSearch clusters is required, along with expertise in machine learning techniques and frameworks such as TensorFlow, PyTorch, or scikit-learn. Proficiency in programming languages like Python, Java, or Scala, and experience with data processing frameworks and distributed computing are necessary. A solid understanding of data engineering concepts, cloud platforms, and containerization technologies is highly desirable. The ideal candidate will possess strong analytical and problem-solving skills, with the ability to work effectively in a fast-paced, collaborative environment. Excellent communication skills are crucial, enabling you to translate complex technical concepts into clear explanations for both technical and non-technical stakeholders. A proven track record of successfully delivering data engineering projects on time and within budget is also expected. If you have 5+ years of experience in Data Ingestion and Transformation, Elastic Search/Open Search Administration, Machine Learning Integration, and related areas, we invite you to send your CV to careers@eventussecurity.com. Join us in Ahmedabad and be part of our SOC - Excellence team.,

You have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Asset & Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. You will develop secure high-quality production code, review and debug code written by others, and identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of software applications and systems. Furthermore, you will lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Additionally, you will lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and contribute to a team culture of diversity, equity, inclusion, and respect. The role requires formal training or certification on software engineering concepts and 5+ years of applied experience. You should have proven experience in full-stack software development, specifically with Java 11+ and Angular 13+, along with hands-on practical experience delivering system design, application development, testing, and operational stability. Strong knowledge of software engineering principles, design patterns, and best practices is essential. A strong background in working with APIs (especially Open API) to ensure efficient communication and integration between different systems is also required. You must have a proven record of providing end-user support with excellent problem-solving abilities and proficiency in automation and continuous delivery methods. Proficiency in all aspects of the Software Development Life Cycle and an advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security are expected. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) is necessary. In-depth knowledge of the financial services industry and their IT systems, as well as practical cloud-native experience, will be beneficial for this role.,

As an Advisor on our Web Production Team in Bangalore, you will play a crucial role in designing, coding, testing, and documenting software according to Dell's systems quality standards. You will analyze business needs to create software solutions, prepare design documentation, and evaluate software and hardware solutions to meet user requirements. Your responsibilities will include resolving customer issues, responding to suggestions for improvements, and collaborating with business and development teams to ensure testability. In this role, you will plan and conduct assignments involving moderate to high-budget projects or multiple projects. You will manage user expectations, assist in training less experienced developers, and serve as a subject matter expert in technical programming specialties. You will work on complex problems that require in-depth evaluation, document and evaluate test results, and identify opportunities to enhance quality assurance strategies. The ideal candidate must possess knowledge of SQL Server, Stored Procedure, Normalized Tables, Indexing, and Query Optimization. Additionally, in-depth knowledge of the .NET Core framework, experience in Rest API and real-time API integration, .NET Core Web APIs, Angular framework, HTML5/CSS3 web design, and Cloud Foundry is essential. Exposure to building analytical solutions with machine learning and past experience in High Tech industries/Telecom are desirable qualifications. At Dell Technologies, we believe in the power of each team member to make a meaningful impact. If you are looking to grow your career with a dynamic team and cutting-edge technology, we invite you to join us. As a part of our unique family of businesses, you will contribute to transforming how individuals and organizations work, live, and play. We are committed to providing equal employment opportunities and fostering a work environment free of discrimination and harassment. Join us on this exciting journey to build a future that works for everyone. Application closing date: May 20th, 2025.,

This position requires a seasoned professional as a Senior Manager with specialized knowledge of credit risk management. You will be overseeing the development, enhancement, and validation of credit risk models, ensuring compliance with regulatory standards, and driving innovation in risk management practices. The ideal candidate should have hands-on experience in Credit Risk Model Validation or Development with SAS and Python. Moreover, you should possess good hands-on experience in Regulatory Models such as AIRB, CECL, CCAR, Basel, IFRS9. You will primarily work as a consultant for the centralized advanced analytics team of a banking or financial firm as a Credit Risk Model Development/Validation and Researcher Specialist. Your responsibilities will include interacting with various business units including their risk, finance, controllership stakeholders. Furthermore, you will be responsible for coordinating with auditors and model development or validation teams to ensure the Enterprise Modeling Governance standards are followed. Your activities will include, but not be limited to: - Providing thought leadership and executing comprehensive modeling strategies aligned with business objectives and industry best practices. - Designing, developing, and validating predictive models to ensure accuracy, reliability, and compliance with regulatory standards. - Conducting rigorous testing and validation methodologies to ensure model robustness and reliability. - Providing analytical support for recommending actions to mitigate risk and using judgment-based decision-making regarding policies and procedures. - Assessing the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source. - Leading, training, and mentoring junior members in the team to foster a collaborative and innovative team culture. - Proposing recommendations to improve monitoring systems and capabilities based on identified risk and control gaps. - Conducting in-depth research on existing and emerging policies related to credit risk modeling and contributing to the creation of white papers. - Researching and contributing to artifacts creation as required in a consulting role. To qualify for this role, you should have experience in developing, validating models, and risk management of credit risk models. Additionally, you should possess knowledge of various statistical techniques and proven skills in regulatory and non-regulatory credit risk modeling. Understanding and experience on the regulatory risk model development/validation guidelines including SR 11-7, Basel IRB, CCAR, CECL, IFRS9, etc., will be crucial. You should have hands-on expertise in SQL, ETL, SAS, Python, R, working with large datasets, and a Master's degree in a quantitative discipline (Statistics/Economics/Finance/Data Science, etc.). The preferred qualifications for this role include strong networking, negotiation, and influencing skills, knowledge of credit risk management for retail and wholesale lending products, hands-on experience in Machine Learning modeling techniques, and prior Project Management and People Management expertise. The required skills and certifications for this role include Model Validation, SAS, Python, Regulatory Model, Model Development, and Credit Risk.,

As a member of our team at Intellinet Systems, you will have the opportunity to be a part of a dynamic and innovative environment where you can grow and develop your skills. Our workplace culture is built on collaboration, community engagement, and a focus on innovation and creativity. With a minimum of 5-8 years of experience and a graduate degree, we are looking for individuals who are passionate about designing and developing AI models to solve complex business problems. Your main responsibilities will include designing and developing AI models and algorithms, implementing machine learning and deep learning techniques to analyze large datasets, and collaborating with cross-functional teams to understand business requirements. You will also be responsible for preprocessing and cleaning data, training and optimizing AI models, and deploying them into production environments. Staying up-to-date with the latest advancements in AI and machine learning techniques will be crucial, as well as providing technical guidance to junior team members and documenting project progress. To be successful in this role, you should have a Bachelor's or master's degree in computer science, engineering, or a related field, along with 2-3 years of industry experience in developing AI solutions. Strong programming skills in Python and experience with relevant libraries such as TensorFlow, PyTorch, or scikit-learn are required. Additionally, a solid understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques will be necessary. Experience with large datasets, data visualization tools, cloud platforms, and software development practices will also be beneficial. If you are a problem-solver with excellent communication and teamwork skills, and you are excited about the opportunity to work on cutting-edge AI projects, we encourage you to apply by sending your updated CV to hr@intellinetsystem.com with the job code in the subject line. Join us at Intellinet Systems and be part of our journey to create groundbreaking solutions together.,

As a Solution Design Consultant at CEVA, you will play a crucial role in supporting business growth by creating techno-commercial solutions tailored to our customers" needs. Your responsibilities will include understanding RFQs, analyzing customer data, designing optimal warehouse processes, and assessing automation potential to deliver innovative, competitive, and robust solutions. You will collaborate with global teams, work on international assignments, and receive guidance and training to advance your career on an international stage. Your key accountabilities will involve developing expertise in country-specific knowledge, working with Business Development and Operations teams to design effective customer solutions, defining optimal processes, analyzing RFQ data, evaluating solution costs, supporting renewals, collaborating with subject matter experts, managing stakeholders across regions and functions, and contributing to the development of new tools and innovations across the entire CEVA Global network. In this role, you will establish significant working relationships with internal teams such as Solution Design, Business Development, Operations leadership, Implementation team, Human Resources, Procurement, Finance, IT & WMS super users, and GHO Subject Matter Experts. Additionally, you will engage with potential and existing customers to understand their needs and sell tailored solutions. To excel in this position, you should possess a graduate or postgraduate degree in any stream, with a master's degree in industrial engineering, analytics, or AI being desirable. With 3-10 years of experience in Supply Chain consulting and Complex Logistics Transformation Projects, you should demonstrate a solid understanding and experience of warehousing, SCM, transportation management, strong project management and analytical skills, technical proficiency in Excel, Power BI, or similar tools, and the ability to simplify complex concepts for a non-technical audience. Your interpersonal and communication skills will be essential, as you will need to be result-oriented, possess good interpersonal skills, be willing to travel frequently, work globally, and have a positive, confident personality with consulting skills. Experience in warehouse automation, project management, data analytics, AI, machine learning, statistics, and product development will be advantageous for this role.,

We are looking for a highly skilled and experienced Director of Application Development to join our dynamic and innovative team at PTS Consulting Services. As the Director of Application Development, you will have the opportunity to lead a team of software developers, manage application development projects, and ensure the successful delivery of high-quality software solutions. Responsibilities include leading and managing a team of software developers, overseeing the entire application development lifecycle, working closely with cross-functional teams to define requirements, driving the adoption of software development best practices, managing project timelines and resources, conducting code reviews, staying up-to-date with industry best practices, and collaborating with other department heads to identify strategic application development initiatives. The ideal candidate will have a Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree preferred) and proven experience as a Director of Application Development. Strong leadership skills, excellent communication skills, problem-solving abilities, experience with cloud platforms such as AWS or Azure, and knowledge of emerging technologies like AI, machine learning, and IoT are highly desirable. If you are a passionate and motivated individual with a proven track record in application development and team leadership, we encourage you to apply and be part of our fast-growing and exciting organization at PTS Consulting Services.,

As a Python Machine Learning Engineer at our organization, you will be responsible for designing, developing, and deploying scalable recommender systems using various machine learning algorithms. Your primary focus will be on leveraging machine learning techniques to personalize user experiences, enhance engagement, and drive business outcomes. You will collaborate closely with cross-functional teams to understand business requirements and translate them into actionable machine learning solutions. Conducting thorough exploratory data analysis to identify relevant features and patterns in large-scale datasets will be a crucial part of your role. Additionally, you will implement and optimize machine learning models for performance, scalability, and efficiency while continuously monitoring and evaluating model performance using relevant metrics. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field, along with 2 to 3 years of hands-on experience in developing machine learning models, specifically focusing on recommender systems. Proficiency in Python programming and popular machine learning libraries/frameworks such as TensorFlow, PyTorch, or Scikit-learn is required. A solid understanding of fundamental machine learning concepts like supervised and unsupervised learning, feature engineering, and model evaluation is essential. Experience working with large-scale datasets, strong analytical and problem-solving skills, and excellent communication abilities are also necessary for this role. You should be able to work with SQL and NoSQL databases to store and retrieve training data, as well as write efficient ETL pipelines to feed real-time and batch ML models using Apache Airflow. Preferred qualifications include experience with cloud computing platforms such as AWS, familiarity with recommendation system evaluation techniques, knowledge of natural language processing techniques, and contributions to open-source machine learning projects or participation in relevant competitions like Kaggle. Experience in MLOps & Deployment (Docker, Airflow) and Cloud Platforms (AWS, GCP, Azure, SageMaker) would be beneficial. This is a full-time position located in Bangalore, Karnataka, and requires in-person work. If you are a talented Python Machine Learning Engineer with a passion for developing and maintaining recommender systems using cutting-edge machine learning algorithms, we encourage you to apply for this exciting opportunity.,

You are an experienced professional with over 13 years of total experience, specializing in machine learning. You have a proven track record of delivering impactful solutions in Natural Language Processing (NLP), machine vision, and Artificial Intelligence (AI). Your proficiency includes programming languages like Python or R, as well as experience with data manipulation libraries such as Pandas and NumPy. You possess a strong understanding of statistical concepts and techniques, applying them effectively to real-world problems. Your expertise extends to deep learning frameworks like TensorFlow, PyTorch, or JAX, along with machine learning libraries like scikit-learn. You have proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), applying them to real-world scenarios. Additionally, you have exposure to graph-based models, knowledge graphs, and related query languages. In your role, you demonstrate hands-on skills in data engineering and building robust ML pipelines. You are experienced in working with personalization engines and integrating digital marketing platforms. Your responsibilities include architecting scalable, cloud-based AI/ML solutions on platforms like AWS, Azure, or GCP, integrating data pipelines and AI services. You possess excellent communication skills and collaborate effectively with cross-functional teams. Your daily tasks involve writing and reviewing high-quality code, understanding clients" business use cases and technical requirements, and translating them into elegant technical designs. You are adept at identifying different solutions and selecting the best option that aligns with clients" needs. Defining guidelines and benchmarks for non-functional requirements (NFRs) during project implementation is also part of your responsibilities. Moreover, you write and review design documents, explaining the overall architecture, framework, and high-level design of applications for developers. You review architecture and design aspects like extensibility, scalability, security, design patterns, user experience, and NFRs, ensuring adherence to best practices. You develop the overall solution for defined functional and non-functional requirements, defining technologies, patterns, and frameworks to bring it to fruition. Your qualifications include a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,