1172 Probability Jobs - Page 23

We seek a Quantitative Systems Developer with high level Python proficiency, proven excellence in product design and development using an innovative approach. You will design, optimize, and deploy scalable quant trading systems that integrate quantitative models, machine learning, and low-latency execution strategies. This role demands a blend of technical mastery, architectural vision, and financial market acumen. Key Responsibilities 1. Design & Development : Architect robust, scalable systems for Quantitative Trading, including real-time data pipelines, execution engines, and risk management frameworks. 2. 3rd Party Integrations : Leverage industry specific technologies to enhance quant systems. 3. Collaboration : Partner with quants, developers, and traders to translate strategies into high-performance code. 4. Optimization : Enhance system latency, throughput, and reliability for high-frequency trading environments. 5. Innovation : Stay ahead of industry trends in distributed systems, cloud computing, and AI/ML to drive technological leadership. 6. Compliance : Ensure systems adhere to regulatory standards and risk management protocols. 7. Documentation : Maintain clear technical specs, architecture diagrams, and deployment guidelines. Requirements 1. Education: Bachelor's/Master’s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. 2. Experience: 1-3 years of experience in quantitative research, data science, or trading strategy development. 3. Technical Skills: · Proficiency in Python for quantitative modeling. · Experience in MongoDB, Redis, API development and Websockets. · Experience in remote development, SSH tunnelling and cloud computing. · Strong understanding of machine learning, probability, and statistical analysis . 4. Financial Knowledge: Understanding of financial markets, asset pricing, and trading strategies. 5. Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading. *Knowledge of Stock Market is an added advantage* Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Schedule: Monday to Saturday Supplemental Pay: Joining bonus Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Explain your experience in stock market domain briefly. Please mention the name of your graduating college or university. Explain your experience in quantitative systems briefly. License/Certification: NISM-8 certification (Required) Work Location: In person Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Please mention the name of your graduating college or university. Kindly explain your experience in quant systems breifly Kindly explain your experience in stock market. License/Certification: NISM-8 (Preferred) Work Location: In person Expected Start Date: 01/07/2025

Role Description This is a full-time on-site role for an Assistant Professor (Statistics) at Business School, Karnavati University, located in Gandhinagar. The Assistant Professor will be responsible for delivering lectures, tutoring and mentoring students, preparing and grading exams, and conducting and publishing research. The role includes developing and updating the statistics curriculum, collaborating with colleagues on academic policies, and participating in academic and administrative committees. Additionally, the Assistant Professor will engage in continuous professional development and contribute to the growth and reputation of the university. Qualifications Expertise in Statistics, Data Analysis, and Probability theory Experience in conducting and publishing academic research in statistical fields Excellent teaching, communication, and presentation skills Ability to develop and revise curriculum, and design educational programs Experience with statistical software and programming languages such as R, SAS, SPSS, or Python Excellent interpersonal and organizational skills to work with a diverse student body PhD in Statistics or related field is preferred Commitment to continuous professional development and academic excellence

We seek a Quantitative Systems Developer with high level Python proficiency, proven excellence in product design and development using an innovative approach. You will design, optimize, and deploy scalable quant trading systems that integrate quantitative models, machine learning, and low-latency execution strategies. This role demands a blend of technical mastery, architectural vision, and financial market acumen. Key Responsibilities 1. Design & Development : Architect robust, scalable systems for Quantitative Trading, including real-time data pipelines, execution engines, and risk management frameworks. 2. 3rd Party Integrations : Leverage industry specific technologies to enhance quant systems. 3. Collaboration : Partner with quants, developers, and traders to translate strategies into high-performance code. 4. Optimization : Enhance system latency, throughput, and reliability for high-frequency trading environments. 5. Innovation : Stay ahead of industry trends in distributed systems, cloud computing, and AI/ML to drive technological leadership. 6. Compliance : Ensure systems adhere to regulatory standards and risk management protocols. 7. Documentation : Maintain clear technical specs, architecture diagrams, and deployment guidelines. Requirements 1. Education: Bachelor's/Master’s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. 2. Experience: 1-3 years of experience in quantitative research, data science, or trading strategy development. 3. Technical Skills: · Proficiency in Python for quantitative modeling. · Experience in MongoDB, Redis, API development and Websockets. · Experience in remote development, SSH tunnelling and cloud computing. · Strong understanding of machine learning, probability, and statistical analysis . 4. Financial Knowledge: Understanding of financial markets, asset pricing, and trading strategies. 5. Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading. *Knowledge of Stock Market is an added advantage* Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Schedule: Monday to Saturday Supplemental Pay: Joining bonus Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Explain your experience in stock market domain briefly. Please mention the name of your graduating college or university. Explain your experience in quantitative systems briefly. License/Certification: NISM-8 certification (Required) Work Location: In person Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Please mention the name of your graduating college or university. Kindly explain your experience in quant systems breifly Kindly explain your experience in stock market. License/Certification: NISM-8 (Preferred) Work Location: In person Expected Start Date: 01/07/2025

What is Armory? What we are building requires hard work, tenacity, ownership, creativity and way more man-hours than an everyday job. If you are a savant at what you do, love autonomy, have high agency and genuinely want to impact the future of this country, we want you to work with us starting yesterday! Modern conflicts waged remotely demand a radical rethinking of strategy as adversaries deploy inexpensive drones and technology to inflict maximum damage with minimal risk. If you prefer routine over the dynamic unpredictability of innovation, Armory isn't for you. Our fast-paced environment requires genuine curiosity, resilience, a passion for continuous learning, and comfort with rapid change. Armory is a new age defence tech startup building next-generation products to strengthen Indian forces in the modern battlefields. About the founder Amardeep Singh is an IIT Bombay alumnus & an aerospace engineer by education. He was a founding member of ideaForge - currently India’s biggest drone company & the first drone company to get listed on the Indian stock exchange. His 16-year entrepreneurial journey is marked by a series of ambitious ventures spanning across diverse tech domains like Drones, Consumer Hardware, B2B SaaS & AI. About this role You will be responsible for designing, implementing, and optimizing DSP algorithms and firmware for our state-of-the-art RF products and radar systems. Develop and implement real-time DSP algorithms for radar signal processing, including pulse compression, micro-Doppler processing, and target detection. Work with Software Defined Radios (SDRs), including RFSoC, to optimize signal acquisition and processing. Design and optimize firmware for radar data acquisition, processing, and control. Collaborate with cross-functional teams, including RF engineers and software developers, to integrate DSP firmware into the RF hardware system. Perform tests and troubleshoot RF system to ensure functionality and compliance with regulatory standards. Stay up-to-date with the latest trends and advancements in RF technology. Must haves Min. 15 years of experience in developing DSP algorithms and firmware, with a strong focus on Signal Intelligence (SigInt) applications. Hands-on experience with COMINT and ELINT signal processing. Experience with Software Defined Radios (SDRs) and RFSoC-based implementations. Strong understanding of radar signal processing concepts, including Pulse compression, Doppler processing, Beam-forming, Angle of Arrival/Estimation, DOA, MIMO & CFARs. Experience with communication protocols such as OFDM, QAM, and radar signal processing. Proficiency in programming languages such as C/C++, Python and MATLAB, with experience in developing real-time embedded firmware. Proficiency in working with DSP processors (TI, ADI, Xilinx, or equivalent). Strong debugging skills using lab instruments (oscilloscopes, spectrum analysers, logic analysers). Strong communication and collaboration abilities. Bonus points for Experience in designing and optimizing radar system FMCW chirps. Knowledge of radar architectures, including pulsed, CW, and FMCW radars. Experience with specific radar architectures, such as synthetic aperture radar (SAR) or phased array radar. Knowledge of radar performance metrics and analysis techniques, such as signal-to-noise ratio (SNR), probability of detection, and false alarm rate. Familiarity with radar performance metrics, such as range resolution, Doppler resolution, and sensitivity. Familiarity with radar system simulation tools, such as MATLAB Simulink or SystemVue. Experience with hardware-in-the-loop (HIL) testing and validation of radar systems. Kindly avoid "easy apply" and use the link below to apply: https://armoryshield.zohorecruit.in/jobs/Careers/128390000000334295/RF-Digital-Signal-Processing-Engineer?source=CareerSite

About Apziva: Apziva is the leading edtech startup working with professionals from 65+ countries. We select career transitioners and help them break into machine learning and data science roles through our AI Residency program. Our 6-month program offers expert mentoring, career coaching, and job placement support. The Opportunity: Apziva runs a self-paced remote residency program, where participants work on real projects, and solve real-world problems with the help of industry expert mentors. Our mentors work with talented professionals from all around the world and guide them through real problems from Apziva’s industry-leading partners. Our mentor community consists of industry experts from the best organizations in the world (e.g. Google, Microsoft, Adobe, Amazon and more). If you are as passionate about mentoring as you are about AI/ML, we’d love to hear from you. The Apziva AI Residency Program: A remote, flexible opportunity that takes around 6 months. Participants in this program have a basic understanding of Machine Learning concepts and are interested in gaining hands-on industry experience. Participants learn by doing as they work on real projects with a personal mentor. They go through real projects at their own pace and have weekly 30-minute video calls with their mentor to discuss questions, projects, and advice. You: Have at least 4 years of experience solving real-life problems using ML. Have excellent communication skills, especially when providing constructive feedback. Have deep expertise and real-world experience in a wide range of Machine Learning problems. Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Large Language Models. Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling. Benefits: Community: Membership in our rich global community of mentors working with top companies. Work: Work with a great team of experts and professionals from all around the world. Compensation: Receive a monthly per-mentee honorarium. Work-Life Balance: Flexible work schedule and no commute means more time for personal life, reducing stress and improving overall well-being. Location Independence: You have the freedom to live wherever you choose, leading to a higher quality of life and lower living costs.

Company Overview Care Group of Institutions is a distinguished leader in the Education sector, based in Trichy, India, offering application-oriented courses with a focus on hands-on training. Our institution is dedicated to fostering the full potential of students beyond the traditional curriculum. We emphasize partnerships with industries and the government to drive innovation and provide students with a dynamic learning environment. Job Overview We are seeking a passionate and skilled Assistant Professor of Mathematics to join our team in Tiruchirappalli. This is a full-time, mid-level position that requires dedication to teaching and fostering learning in a collegiate environment. The ideal candidate will thrive in our collaborative setting, contribute to academic research, and support our curriculum development initiatives. Qualifications and Skills Proficiency in classroom management to create a conducive learning environment for students. (Mandatory skill) Expertise in mathematical modeling to apply practical mathematical techniques in real-world situations. Experience in curriculum development to enhance and modernize educational programs. Strong background in academic research to contribute to the institution's scholarly output. In-depth knowledge of calculus to deliver comprehensive and understandable courses to students. Proficient in linear algebra to help students grasp complex mathematical concepts effectively. Understanding of differential equations to aid the development of analytical and problem-solving skills. Familiarity with probability theory to provide students with thorough insights into statistical reasoning. Roles and Responsibilities Conduct lectures and facilitate classroom activities to engage students in mathematical courses. Develop and implement a curriculum that reflects current trends and advancements in mathematics education. Guide and mentor students in academic research projects and encourage scholarly pursuits. Collaborate with faculty members to enhance teaching methods and contribute to the academic community. Assess and evaluate student performance through examinations and practical assessments. Participate in faculty meetings and contribute to department goals and initiatives. Maintain availability for student consultation and support in their academic endeavors. Engage with corporate partners to bring real-world insights into the classroom and foster industry-academic collaboration.

Description AWS Sales, Marketing, and Global Services is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you interested to join a diverse, inclusive and high-performing team with the mission to increase the probability for startups to be successful? From Airbnb to Zalando, the world's top digital companies started building on AWS. We offer the world’s most comprehensive and broadly adopted cloud platform with dedicated startup programs and more than 200 fully featured services. Millions of customers – including the fastest-growing startups, largest enterprises, and leading government agencies – are using AWS globally to become more agile, innovate faster and lower costs. We are looking for a sales manager with a proven track-record in building and leading highly effective sales teams across multiple countries. You bring passion for innovative startups and latest technology trends, especially GenAI, machine learning (ML), and virtual/augmented reality (VR/AR). Your startup customers strive to become the next unicorns and future enterprises within their domain of Generative AI and advanced ML, which may also intersect with Fintech, Healthcare & Life Sciences, Mobility/Automotive and Enterprise SaaS applications. You should be an autonomous sales manager that brings a hands-on builder mentality, strategic thinking and a sense of urgency for team development and operational excellence. You will be responsible for your own business, maintain C-level relationships with key customers and deliver results by empowering your team to win new startup customers through strategic engagements and scaling initiatives. This role reports into the General Manager of EMEA Startups as part of a cross-functional leadership team, including Sales, Solutions Architecture, Business Development, Partner, Marketing and many more. You should be a self-starter with entrepreneurial spirit and excellent communication skills who can work collaboratively with others and is prepared to work in a fun, fast-paced environment, to execute against ambitious goals and to consistently embrace the Amazon Day 1 Culture. Key job responsibilities Key job responsibilities Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance. Ensure customer satisfaction through business value creation. Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share. Meet or exceed your quarterly and yearly goals. Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation. Act as an executive sponsor in key accounts. Represent the company in professional events. About The Team AWS Sales, Marketing, and Global Services is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience 10+ years of business development, partner development, sales or alliances management experience Preferred Qualifications Experience working with/ for GenAI startups or in AIML domain Experience developing GTM plans for GenAI startups Understanding of GenAI offerings, use cases Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - AWS India - Haryana Job ID: A3017048

Skills: Mathematical Modeling, Classroom Management, Curriculum Development, Academic Research, Calculus, Linear Algebra, Differential Equations, Probability Theory, Company Overview Care Group of Institutions is a distinguished leader in the Education sector, based in Trichy, India, offering application-oriented courses with a focus on hands-on training. Our institution is dedicated to fostering the full potential of students beyond the traditional curriculum. We emphasize partnerships with industries and the government to drive innovation and provide students with a dynamic learning environment. Job Overview We are seeking a passionate and skilled Assistant Professor of Mathematics to join our team in Tiruchirappalli. This is a full-time, mid-level position that requires dedication to teaching and fostering learning in a collegiate environment. The ideal candidate will thrive in our collaborative setting, contribute to academic research, and support our curriculum development initiatives. Qualifications And Skills Proficiency in classroom management to create a conducive learning environment for students. (Mandatory skill) Expertise in mathematical modeling to apply practical mathematical techniques in real-world situations. Experience in curriculum development to enhance and modernize educational programs. Strong background in academic research to contribute to the institution's scholarly output. In-depth knowledge of calculus to deliver comprehensive and understandable courses to students. Proficient in linear algebra to help students grasp complex mathematical concepts effectively. Understanding of differential equations to aid the development of analytical and problem-solving skills. Familiarity with probability theory to provide students with thorough insights into statistical reasoning. Roles And Responsibilities Conduct lectures and facilitate classroom activities to engage students in mathematical courses. Develop and implement a curriculum that reflects current trends and advancements in mathematics education. Guide and mentor students in academic research projects and encourage scholarly pursuits. Collaborate with faculty members to enhance teaching methods and contribute to the academic community. Assess and evaluate student performance through examinations and practical assessments. Participate in faculty meetings and contribute to department goals and initiatives. Maintain availability for student consultation and support in their academic endeavors. Engage with corporate partners to bring real-world insights into the classroom and foster industry-academic collaboration.

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional Principal AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing and leading the designing, developing, and scaling novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data. Responsibilities: Serve as the subject matter expert and lead developer for key GenAI technologies, encompassing various domains such as data pipelines, training and fine-tuning, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques. Play a leading hands-on role in all aspects of core GenAI research across the full stack of our GenAI platform. Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership. Participate in high-level technical decision making process within Articul8, contributing to technology assessment and roadmap planning. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Mentor and guide junior team members and help building a strong culture of rapid innovation Required Qualifications: Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field. Professional experience: 8+ years of experience as an AI researcher with a track record of applied research work acting as a hands-on technical leader developing novel techniques for AI in general; and 3+ years of experience actively developing GenAI technologies. A strong background in parallel/distributed computing (preferably on the cloud). Proven track record of publications in top-tier conferences and journals. Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. Preferred Qualifications: PhD in Computer Science, Machine Learning (ML), or related technical fields. 8+ years of hands-on experience as an applied ML/AI researcher. Experience with cloud computing platforms such as AWS, Azure, or GCP. Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional AI Research Manager to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for overseeing the strategic direction, operational management, and hands-on implementation of research projects aimed at advancing our GenAI technologies. Responsibilities: Lead and contribute to the hands-on implementation of research projects, including coding and technical development. Collaborate with the team to design, develop, implement, and optimize GenAI models and algorithms. Participate in code reviews and provide technical guidance to team members. Oversee the execution of research projects from ideation to deployment, ensuring timely and quality delivery. Manage project budgets and resource allocation, ensuring efficient use of resources. Develop and implement the research strategy and roadmap that aligns with the company’s long-term goals. Provide strategic direction and oversight for research initiatives, ensuring alignment with business objectives. Collaborate with cross-functional teams, including product, engineering, and business development, to integrate research findings into product development. Build and maintain relationships with academic institutions and industry partners to foster research collaborations and knowledge sharing. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Hire, mentor, and develop a high-performing team of AI researchers and engineers. Foster a collaborative and innovative research culture, encouraging creativity and continuous learning. Required Qualifications: Education: MSc degree in Computer Science, Machine Learning (ML), or a related field. Professional experience: 8+ years of experience as an AI researcher with a track record of applied research work acting as a hands-on technical leader developing novel techniques for AI in general; and 3+ years of experience actively developing GenAI technologies. A strong background in parallel/distributed computing (preferably on the cloud). Proven track record of publications in top-tier conferences and journals. Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. Preferred Qualifications: PhD in Computer Science, Machine Learning (ML), or related technical fields. 8+ years of hands-on experience as an applied ML/AI researcher 5+ years in a leadership role managing research teams. Experience with cloud computing platforms such as AWS, Azure, or GCP Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data. Responsibilities: Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques. Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment. Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Required Qualifications: Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher. Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud). Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. Preferred Qualifications: 4+ years of hands-on experience as an applied ML/AI researcher Experience with cloud computing platforms such as AWS, Azure, or GCP. Proven track record of publications in top-tier conferences and journals Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

Location: Gurugram, India Position Summary We are seeking a highly motivated and analytical Quant Analyst to join Futures First. The role involves supporting development and execution of quantitative strategies across financial markets. Job Profile Statistical Arbitrage & Strategy Development Design and implement pairs, mean-reversion, and relative value strategies in fixed income (govvies, corporate bonds, IRS). Apply cointegration tests (Engle-Granger, Johansen), Kalman filters, and machine learning techniques for signal generation. Optimize execution using transaction cost analysis (TCA). Correlation & Volatility Analysis Model dynamic correlations between bonds, rates, and macro variables using PCA, copulas, and rolling regressions. Forecast yield curve volatility using GARCH, stochastic volatility models, and implied-vol surfaces for swaptions. Identify regime shifts (e.g., monetary policy impacts) and adjust strategies accordingly. Seasonality & Pattern Recognition Analyse calendar effects (quarter-end rebalancing, liquidity patterns) in sovereign bond futures and repo markets. Develop time-series models (SARIMA, Fourier transforms) to detect cyclical trends. Back Testing & Automation Build Python-based back testing frameworks (Backtrader, Qlib) to validate strategies. Automate Excel-based reporting (VBA, xlwings) for P&L attribution and risk dashboards. Integrate Bloomberg/Refinitiv APIs for real-time data feeds. Requirements Education Qualifications B.Tech Work Experience 0-3 years Skill Set Must have: Strong grasp of probability theory, stochastic calculus (Itos Lemma, SDEs), and time-series econometrics (ARIMA, VAR, GARCH). Must have: Expertise in linear algebra (PCA, eigenvalue decomposition), numerical methods (Monte Carlo, PDE solvers), and optimization techniques. Preferred: Knowledge of Bayesian statistics, Markov Chain Monte Carlo (MCMC), and machine learning (supervised/unsupervised learning). Libraries: NumPy, Pandas, statsmodels, scikit-learn, arch (GARCH models). Back testing: Backtrader, Zipline, or custom event-driven frameworks. Data handling: SQL, Dask (for large datasets). Power Query, pivot tables, Bloomberg Excel functions (BDP, BDH). VBA scripting for various tools and automation. Experience with C /Java (low-latency systems), QuantLib (fixed income pricing), or R (statistical). Yield curve modelling (Nelson-Siegel, Svensson), duration/convexity, OIS pricing. Credit spreads, CDS pricing, and bond-CDS basis arbitrage. Familiarity with VaR, CVaR, stress testing, and liquidity risk metrics. Understanding of CCIL, NDS-OM (Indian market infrastructure). Ability to translate intuition and patterns into quant models. Strong problem-solving and communication skills (must explain complex models to non-quants). Comfortable working in a fast-paced work environment. Work hours will be aligned to APAC Markets.

We're seeking a Mid-Level Machine Learning Engineer to join our growing Data Science & Engineering team. In this role, you will design, develop, and deploy ML models that power our cutting-edge technologies like voice ordering, prediction algorithms and customer-facing analytics. You'll collaborate closely with data engineers, backend engineers, and product managers to take models from prototyping through to production, continuously improving accuracy, scalability, and maintainability. Essential Job Functions Model Development: Design and build next-generation ML models using advanced tools like PyTorch, Gemini, and Amazon SageMaker - primarily on Google Cloud or AWS platforms Feature Engineering: Build robust feature pipelines; extract, clean, and transform largescale transactional and behavioral data. Engineer features like time- based attributes, aggregated order metrics, categorical encodings (LabelEncoder, frequency encoding) Experimentation & Evaluation: Define metrics, run A/B tests, conduct cross-validation, and analyze model performance to guide iterative improvements. Train and tune regression models (XGBoost, LightGBM, scikit-learn, TensorFlow/Keras) to minimize MAE/RMSE and maximize R² Own the entire modeling lifecycle end-to-end, including feature creation, model development, testing, experimentation, monitoring, explainability, and model maintenance Monitoring & Maintenance: Implement logging, monitoring, and alerting for model drift and data-quality issues; schedule retraining workflows Collaboration & Mentorship: Collaborate closely with data science, engineering, and product teams to define, explore, and implement solutions to open-ended problems that advance the capabilities and applications of Checkmate, mentor junior engineers on best practices in ML engineering Documentation & Communication: Produce clear documentation of model architecture, data schemas, and operational procedures; present findings to technical and non-technical stakeholders Requirements Academics: Bachelors/Master's degree in Computer Science, Engineering, Statistics, or related field Experience: 5+ years of industry experience (or 1+ year post-PhD). Building and deploying advanced machine learning models that drive business impact Proven experience shipping production-grade ML models and optimization systems, including expertise in experimentation and evaluation techniques. Hands-on experience building and maintaining scalable backend systems and ML inference pipelines for real-time or batch prediction Programming & Tools: Proficient in Python and libraries such as pandas, NumPy, scikit-learn; familiarity with TensorFlow or PyTorch. Hands-on with at least one cloud ML platform (AWS SageMaker, Google Vertex AI, or Azure ML). Data Engineering: Hands-on experience with SQL and NoSQL databases; comfortable working with Spark or similar distributed frameworks. Strong foundation in statistics, probability, and ML algorithms like XGBoost/LightGBM; ability to interpret model outputs and optimize for business metrics. Experience with categorical encoding strategies and feature selection. Solid understanding of regression metrics (MAE, RMSE, R²) and hyperparameter tuning. Cloud & DevOps: Proven skills deploying ML solutions in AWS, GCP, or Azure; knowledge of Docker, Kubernetes, and CI/CD pipelines Collaboration: Excellent communication skills; ability to translate complex technical concepts into clear, actionable insights Working Terms: Candidates must be flexible and work during US hours at least until 6 p.m. ET in the USA, which is essential for this role & must also have their own system/work setup for remote work

Location: Bengaluru Experience: 2 - 4 yrs Technologies / Skills : Python, machine learning, NumPy, Pandas, Scikit-Learn, PySpark, TensorFlow or PyTorch, About the Role We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model Development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data Analysis: Perform comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm Optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment & Monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Education level : Bachelor’s degree (B.E. / B. Tech) in Computer Science or equivalent from a reputed institute. Technical Expertise Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e.g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. About Oneture Technologies Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities. Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance. Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by tecahnology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Experience productionizing machine learning methodologies such as regression, classification, clustering, matrix factorization, predictive analytics, decision trees, support vector machines, neural networks / Deep Learning, video and image analytics · Strong understanding of linear algebra, optimization, probability, statistics, computer architecture, OS, Networking · Strong hands-on experience in building end-to-end AI and Machine learning models - Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice recognition). · Hands-on experience in exploratory data analyses, data-cleansing, data- wrangling and pre-processing · Strong hands-on experience in Python and other statistical tools (including data visualization techniques) on standalone or cloud applications · Experience with Machine Learning Algorithms, frameworks like Caffe, Tensor Flow, H2O and Convolution Neural Network Architectures (SSD, YOLO) performing real-time Object detection and classification is a must . · Sound understanding of GenAI concepts like LLM, Langchain , RAG Framework, tokens, vector databases etc. · Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc. · Proven experience in developing and deploying generative AI models. · Development experience using Python Web Framework (Flask, Django), Python Data Science framework (scikit-learn, SparkML ), API Management framework · Development experience in building Cloud based solutions using AWS/Azure/GCP · Ability to learn new scripting language or analytics platform · Exposure to data visualization tools such as PowerBI , Tableau, etc. · ML Ops, ML Deployment experience (optional) · Exposure to application development tools such as R Shiny (optional) · Full Stack Data Scientist will be preferred · Conduct thorough testing and validation to ensure model reliability and robustness. · Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project. · Stay up-to-date with the latest advancements in generative AI and deep learning. · Strong data representation and lucid presentation (of analysis/modelling output) using Power Point, Excel, Streamlit etc. Mandatory skill sets: Data scientist Preferred skill sets: Data scientist Years of experience required : 4 - 8 Education qualification: B. Tech / M.Tech ( Engg .), MBA, M.Sc. / M. Stat/ MS (Statistics / Mathematics) with strong programming knowledge Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

About Credit Saison India: Established in 2019, CS India is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population. Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings. Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people. Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimize the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications: Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 5+ years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or Retail/ SME/LAP/Secured lending experience is preferred

Job description Job Role: AI/ML/NLP Engineer /Data Scientist Exp: 4+ Years (Min 4+ Years of relevant work exp in ML/AI/Python are mandatory) Job Location: work from home (remote), ONLY CHENNAI BASED CANDIDATES ARE PREFERRED/WILL BE CONSIDERED Work Timings: 12 PM to 9 PM IST (As per South Africa Time Zone) Notice Period: Looking for immediate to 30 days of notice. If your notice period is beyond 30 days, please do not apply Company Name: Indsafri ************KINDLY DO NOT APPLY IF YOU HAVE LESS THAN 4+ YEARS OF RELEVANT WORK EXP IN AI/ML/NLP ENGINEER ***********************KINDLY DO NOT APPLY IF YOU ARE NOT BASED OUT OF TAMILNADU/CHENNAI**************************************FRESHERS DO NOT APPLY****************************OTHER STATE CANDIDATES EXCLUDING TAMIL NADU PLEASE DO NOT APPLY*********************** Job Purpose: We are seeking an AI/ML/NLP Engineer to join our dynamic team and contribute to the development and enhancement of our AI-driven platforms. The ideal candidate will possess deep technical expertise in machine learning and artificial intelligence, with a proven track record of developing scalable AI solutions. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning, artificial intelligence with NLP. Responsibilities Study and transform data science prototypes Design machine learning systems, Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Develop machine learning models and AI solutions Test, deploy, and maintain AI systems Collaborate with data scientists and other engineers to integrate AI into broader system architectures Stay current with AI trends and suggest improvements to existing systems and workflows Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation Manage a team in conducting assessments of the AI and automation market and competitor landscape Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation Qualifications Min 5+ Years of relevant work exp in Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing (NLP). Proven experience as a Machine Learning Engineer or AI Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java and R Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Experience in machine learning platforms, frameworks, and libraries Hands on experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Required Skills/Must have skills: Min 5+ Years of relevant work experience in Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing (NLP). Hands on experience in data structures, algorithms, statistics, data modelling and software architecture. Min 5+ Years of work experience in python programming Min 5+ Years of work experience in databases like SQL, NoSQL & RDBMS Min 5+ Years of work experience in Gen AI concepts Good hands on experience in Rest API, Gen AI concepts is must Expertise in machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Note: This is a 1 year renewable contract role (contract can be renewed further based on your performance during your employment) Interested candidates can share your updated resume to priyadharshiny.karunakaran@indsafri.com with below details Name - Tot Exp - Rel years of work exp as AI/ML/NLP Engineer(IT) - Rel years of work exp in AI - Rel years of work exp in Machine Learning (ML) - Rel years of work exp in NLP - Rel years of work exp in Python programming- Rel years of work exp in data modelling- Rel years of work exp in Data structures - Rel years of work exp in Gen AI - Rel years of work Exp in data and software architecture - Rel years of work exp in SQL - Rel years of work exp in statistical analysis - Rel years of work exp in frameworks like Pandas, NumPy, LLaMA, BERT- Rel years of work exp in REST API Development - Rel years of work exp in NoSQL database - Rel years of work exp in Jira - Rel years of work exp in RDBMS- Rel years of work exp in machine learning frameworks (like Keras or PyTorch) - Rel years of work exp in machine learning libraries (like scikit-learn) - Rel years of work exp in cloud services like AWS, Azure /GCP - Rel years of work exp in Hadoop, SAP BW, SAP Reporting, Advanced Reporting - Willing to work for 1 year renewable contract role (contract can be renewed further based on your performance) YES/NO - Notice period (in days) - Current location - Mob No - Email id - Current Salary (in LPA)- Expected Salary (in LPA)- Reason for job change - Date of Birth - WHY INDSAFRI: We believe anything is possible We humans have the potential to create and build anything we can imagine. we have walked the entire planet, climbed the greatest mountains, sailed once infinite oceans, inspired by birds we decided to fly, in our once impossible quest for space, now we even float in the outer space. Everything started with a simple belief that something is possible, from simple beginnings, we have come a long way, to building technology that is indistinguishable from magic. And we believe that technology is at its best when it can make people smile. If we do it with all our passion & intelligence, together nothing is impossible. How do we do it? In the future, every business will be a technology company, & the future is now. From food to finance every business is rapidly transforming & embracing cutting-edge technology at its core & good humanistic design at its heart. Indsafri can transform your business for growth, as we have done for numerous organizations big and small, by working as your trusted technology partner and bringing our deep industry experience. If you have a challenging business problem we believe there is always a solution, with the right process, talents & technology anything is possible. The Impact we create: We work with some of the Best Organizations around the world, with a distributed global network of Partners & Talents, using state-of-the-art cutting-edge Technology & High-end Human-Centred Design. Website https://www.indsafri.com

About PhonePe Group: PhonePe is India’s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses 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 take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts 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 seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal Key Responsibilities: Develop and implement machine learning models, offline batch models as well as real time online and edge compute models Analyze complex datasets and extract meaningful insights to drive business decisions Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches Communicate findings and recommendations to stakeholders effectively Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field 3+ years of experience in a Data Scientist role Strong proficiency in Python and SQL Solid understanding of machine learning algorithms and statistical modeling techniques Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms Hands-on experience implementing and deploying machine learning algorithms Experience with data visualization tools and techniques Strong analytical and problem-solving skills Excellent communication skills, both written and verbal Preferred Qualifications: Experience with PySpark and other big data processing frameworks Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Technical Skills: Programming Languages: Python (required), SQL (required), Java (basic knowledge preferred) Machine Learning: Strong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision Big Data: Deep knowledge of PySpark Data Storage and Retrieval: Familiarity with databases/mlflow preferred Mathematics: Strong background in statistics, linear algebra, and probability theory Version Control: Git Soft Skills: Excellent communication skills to facilitate interactions with stakeholders Ability to explain complex technical concepts to non-technical audiences Strong problem-solving and analytical thinking Self-motivated and able to work independently as well as in a team environment Curiosity and eagerness to learn new technologies and methodologies We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply! 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 Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

About Us  Dailoqa is an international, AI-native company focused on solving business problems for clients in the Financial Services sector by combining assets and strong technical and functional skills. We help our clients in their future as an AI-native organisation by providing roadmap for unlocking value by Combined Intelligence in partnership between humans and agents in integrating new technology into complex and legacy IT architectures. Key Responsibilities: Data Analysis and Modelling: Collect, process, and analyse large datasets to extract actionable insights. Develop and implement statistical and machine learning models to solve complex business problems. Algorithm Development: Design and develop algorithms for data mining, predictive modelling, and other data-driven applications. Continuously improve and optimize algorithms for better performance. Visualization and Reporting: Create data visualizations and reports to effectively communicate insights and findings to stakeholders. Develop dashboards and interactive tools for data exploration. Collaboration: Work closely with cross-functional teams, including data engineers, AI engineers, and product managers, to understand project requirements and deliver high-quality solutions. Data Preparation: Perform data cleaning, transformation, and augmentation to ensure data quality and readiness for analysis. Implement ETL processes to streamline data workflows. Machine Learning Implementation: Develop and deploy machine learning models to production environments. Monitor model performance and implement necessary updates and improvements. Documentation and Reporting: Document the data analysis process, including data sources, methodologies, and results. Prepare and present reports on project progress and findings to stakeholders. Ethical Data Practices: Ensure that data analysis and modelling adhere to ethical standards and guidelines, promoting fairness and minimizing bias. Continuous Learning and Improvement: Stay updated with the latest advancements in data science and machine learning. Attend conferences, read research papers, and participate in professional development activities to continuously enhance skills and knowledge. Problem-Solving and Innovation: Identify and solve complex problems using innovative data-driven solutions. Propose and implement creative ideas to leverage data for various applications and industries. Testing and Validation: Conduct rigorous testing and validation of models and algorithms to ensure accuracy, reliability, and scalability. Implement A/B testing and other validation techniques to assess the real-world performance of data-driven solutions. Feedback Incorporation: Collect and analyse feedback from users and stakeholders to improve data models and applications. Iterate on model development based on user needs and project requirements. Skills and Qualifications: Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Strong knowledge of machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn. Experience with data visualization tools such as Tableau, Power BI, and Matplotlib. Familiarity with big data technologies, including Hadoop and Spark. Knowledge of data pre-processing, feature engineering, and ETL processes. Mathematics and Statistics: Strong foundation in linear algebra, calculus, and probability & statistics. Soft Skills: Excellent problem-solving and critical thinking skills. Strong communication skills for explaining complex technical concepts to non-technical stakeholders. Ability to work effectively in a team and collaborate with cross-functional teams. Commitment to continuous learning and staying updated with industry advancements. Creativity and innovation in developing data-driven solutions. Domain Knowledge: Understanding of the Financial Services industry and its specific challenges. Awareness of ethical considerations in data science and machine learning. Overall and Relevant Experience: 3+ years overall IT experience with at least 2+ years of relevant experience in data science with Financial Services organisations. Bachelor’s degree in computer science, Engineering, Statistics, Mathematics, or a related quantitative field. Why Join Us: Innovative Environment: Work on cutting-edge AI technologies and innovative projects. International Exposure : To work with international clients/team Collaborative Culture: Be part of a passionate and supportive team. Professional Growth: Opportunities for continuous learning and development. Impactful Work: Contribute to meaningful projects that drive innovation and make a difference. If you are excited about the prospect of working in a dynamic and forward-thinking company, we would love to hear from you!

IMMEDIATE HIRING FOR THE POSITION OF TRAINER ( DATA SCIENCE / DATA ANAYLST / BUSINESS ANALYST /) (ONSITE ONLY - DELHI) Note: Before applying, pls check the requirement thoroughly. https://maps.app.goo.gl/XZxhaf4dT4JDMSnv6 https://www.veridicaltechnologies.com/ Pref. for Delhi Candidates and those who would like to relocate in Delhi immediately. Good knowledge & experience in Training of the following: Machine learning and Deep learning Mathematics Statistics, Probability, Calculus and Linear Algebra Python, R, SAS, SQL, SciPy Stack NumPy, pandas and matplotlib Tableau, Microsoft Excel, Power BI, MySQL, MongoDB, Oracle Good Communication skills ACADEMIC QUALIFICATIONS: M.TECH (IT/CS) / MCA / B.TECH (IT/CS) EXPERIENCE : MINIMUM 2 TO 3 YEARS IN TRAINING ONLY CONTACT AT 93195 93915 VERIDICAL TECHNOLOGIES AGGARWAL PRESITGE MALL 512, 5TH FLOOR, RANI BAGH, PITAMPURA DELHI-110034 LANDMARK : M2K PITAMPURA NEARSET METRO STATIONN: KOHAT ENCLAVE OR SHAKURPUR Job Type: Full-time Pay: ₹10,747.19 - ₹30,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Experience: total work: 1 year (Preferred) Work Location: In person

About the Role: We are seeking an experienced 3D SLAM (Simultaneous Localization and Mapping) Computer Vision Engineer to join our innovative team. The ideal candidate will have a strong background in computer vision, robotics, and software development, with a focus on 3D perception and SLAM algorithms. You will work on cutting-edge projects that involve building real-time mapping and localization systems, contributing to both research and practical deployment. Key Responsibilities: Design, develop, and implement state-of-the-art 3D SLAM algorithms for real-time applications. Collaborate with cross-functional teams to integrate SLAM solutions with hardware and other software components. Conduct in-depth research and stay updated with the latest advancements in SLAM, computer vision, and related fields. Optimize code for real-time performance and robustness across different environments. Develop and maintain the software infrastructure for testing and deploying SLAM systems. Analyze and process sensor data from various sources, including LiDAR, depth cameras, and IMUs. Troubleshoot and debug issues related to 3D perception, mapping, and localization. Requirements: Education : Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field. PhD is a plus. Experience : 3-5 years of experience in computer vision or robotics, with a focus on SLAM and 3D perception. Technical Skills : Proficiency in programming languages such as C++ and Python. Strong knowledge of computer vision libraries (e.g., OpenCV, PCL) and frameworks. Experience with SLAM algorithms (e.g., ORB-SLAM, RTAB-Map, LOAM). Familiarity with 3D point cloud processing, sensor fusion, and Kalman filters. Mathematics : Strong background in linear algebra, probability theory, and optimization techniques. Problem-Solving : Excellent analytical skills for troubleshooting and performance tuning. Communication : Ability to effectively collaborate with cross-functional teams and present technical information clearly. Preferred Qualifications: Experience with robotics frameworks such as ROS (Robot Operating System). Knowledge of GPU programming and parallel processing (e.g., CUDA). Experience working with 3D reconstruction, photogrammetry, or AR/VR applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for computer vision tasks. Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year

Job Reference # 318000BR Job Type Full Time Your role build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems. work on generative ai (genai) models to deliver personalized insights and solutions for clients, financial advisors, and prospects. leverage advanced data science techniques to analyze large datasets and extract actionable insights. collaborate with cross-functional teams to integrate predictive models into wealth management decision-making processes. implement and utilize tools like langchain, langgraph, and vector databases to build scalable, efficient ai-driven solutions. Your team You will be part of the Data Science STAAT Team, WMA Technology. Our Data Science team is at the heart of DAFP’s function to manage and support data science efforts across different business areas. Your expertise bachelor’s degree or higher in machine learning, computer science, computational linguistics, mathematics or other relevant technical field from premier institute. strong foundation in probability, statistics, linear algebra, calculus, machine learning and generative ai/llm. expertise in deep learning techniques and applications. strong understanding of generative ai (genai) including math behind the models and its practical implementations. hands-on experience working with large language model apis like azure openai, anthropic etc.. and cloud ecosystems like azure, aws, gcp, databricks proficiency in langchain, langgraph, and working with vector databases for advanced data retrieval and ai workflows. proficiency in python or similar programming languages, with experience in ai/ml libraries and frameworks such as tensorflow, pytorch, or hugging face. knowledge of financial products, including mutual funds, etfs, and client segmentation, is a plus. About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Assistant Vice President, Client Onboarding Who We Are Looking For Client Onboarding Organization is the operational infrastructure for State Steet Markets and consists of Client Service and Operations and we are looking for a seasoned strong leader for our Client Onboarding team in India. Due to the role requirements this job needs to be performed primarily in the office with some flex work opportunities available Why this role is important to us The team you will be joining is a part of State Street Markets. As a leading provider of trading and lending solutions to the world’s institutional investors, we deliver the industry’s most innovative platforms, financing and portfolio solutions. Our capabilities are backed by proprietary, high-value research, insights and indicators that power clients’ investment decisions, accelerate performance and help investors stay ahead of shifting markets. Across our comprehensive set of solutions – data-driven macro market intelligence that give an information advantage; client-first platforms and tools that redefine trading; financing solutions that streamline liquidity access; and portfolio solutions designed to help achieve peak performance – we deliver a breakthrough edge to drive business success. With our FX solutions, investors can access a wide range of markets and jurisdictions using our decision-making and strategy planning tools, diverse funding options and trading strategies. We deliver sophisticated avenues to tap into new sources of liquidity, capitalize on market opportunity and transact efficiently in any market environment. We have a range of solutions from various high- to low-touch principal execution methods, and outsourced agency hedging and execution solutions through our currency management offering. Join us if making your mark in the capital markets industry from day one is a challenge you are up for. What You Will Be Responsible For The Onboarding Assistant Vice President will be responsible for managing the client onboarding teams across various products supporting all regions in Hyderabad/Bangalore/Mumbai, India, as well as various projects and initiatives that support or enhance onboarding. The role will work closely with the Client Onboarding teams, Relationship Managers, Trading, Legal, Credit and Operations teams to facilitate the onboarding process. The role is also responsible for driving and executing a variety of technology initiatives, regulatory and other projects designed to enhance the client onboarding process and client experience. The successful candidate will drive these strategic initiatives through the management of prioritization, development of requirements and execution of project milestones and deliverable designed to reduce time to onboard our clients leading to shorter times to revenue and better client experience. Responsible for the day to day operations and service levels of the State Street Markets Onboarding Teams in India. Assists with managing, leading, and developing a team of onboarding professionals. Assure funds/accounts have been accurately set up in all necessary systems Resolution of any onboarding issues and managing escalations Adhering to established procedures and controls; monitors and resolves pending and aged onboarding items Interact with Sales, traders, internal teams, and counterparts regarding discrepancies if any Ensure that your team meets the agreed SLA, KPI and KRI and evidence of the same documented every day. Assists business area with inquiries pertaining to onboarding; coordinates response to Clients and other internal teams. Ensure timely resolution of client onboarding issues while keeping senior management team informed of any potential risks. Identify and analyze any operations risks related to current process and recommend procedural changes/improvements as needed Demonstrate effective communication skills (written and verbal) – ensuring key stakeholders are regularly appraised on progress relative to milestones Understand front to back onboarding process and contribute to any process improvement ideas Demonstrate effective risk management skills – capture and communicate probability and impact to key stakeholders, ensure appropriate mitigation strategies are agreed. Works collaboratively across globally on key initiatives. Manage multiple project initiatives designed to enhance workflow and reduce risk. Liaise with systems personnel, and key business stake holders to identify and prioritize systems initiatives designed to improve onboarding. Develop and maintain effective working relationships with key stake holders across business lines to ensure effective contribution to project goals and objectives. Drive and participate in various technology initiatives associated with client onboarding. Lead process for regular meetings with Business Heads and Managers to communicate results and issues What We Value These skills will help you succeed in this role Demonstrate ‘Risk Excellence’ culture in your behaviour and nurture the same within the team, Foster an environment of openness and transparency that fuels effective challenge, debate and open discussion. Establish a culture of collective ownership giving all staff a clear sense of both responsibility and accountability. Develop effective working relationships with staff at all levels across all locations Ensure that all staff adheres to the expected Code of Conduct. Holistic understanding or client onboarding process Should have 12 years of experience in knowledge services environment serving Capital Market in client onboarding domain with people management experience Communicates with other team members from diverse background in an effective manner. Influences and motivates the team. Creates an empowering climate. Projects an inspiring presence and collaborates by fostering a network of communication. Demonstrates flexibility and effectiveness with changing environments, tasks, responsibilities & people. Open to change and new ideas while maintaining core goals and values. Adapts behaviour and work methods in response to new information, changes or organization demands. Ability of an individual to facilitate the continuous development of individual & organizational competencies, developing other’s potential through the sharing of expertise and providing timely feedback. Continues to coach and mentor staff. Track and monitor the workflow queues/day to day workload/pending requests/mailbox to avoid any potential issues and delays and ensure 100% SLA and accuracy and timelines for BAU deliverables. Drive opportunities to work across groups in support of client needs, contribute to enhancing operating model and transformation initiatives, deliver on business and regulatory initiatives as per set timelines, achieve our financial commitments by providing better client service. Understand and assess internal control environment to drive year-over-year improvement and enhancement of internal controls – promote self-identification working in partnership with the global Business Controls teams Required Competencies Work as a team player in a global team environment Ability to work and communicate with people across organizational units Demonstrate a high standard for customer service and proactively managing work queues Handling and monitoring issue and query mails and escalating issues promptly as required to Senior Management Strong risk mitigation, problem solving, and decision making skills Effective in process improvement and expense reduction Experience in managing teams in multiple regions Ability to think critically and resolve complex problems Strategic mindset – looking at bigger picture for the future of the organisation Change agent with abilities to navigate challenges effectively Education & Preferred Qualifications Advanced degree or certification relevant to finance and business administration (master’s degree a plus) 12+ years in client onboarding, operations in the financial services industry and overall understanding of financial products, specifically State Street Markets products. Are you the right candidate? Yes! We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit. About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer. Job ID: R-772167

Job Role: Machine Learning Engineer As a Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. Primary responsibilities: 1. Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models. 2. Architecting large scale data analytics / modeling systems. 3. Designing and programming machine learning methods and integrating them into our ML framework / pipeline. 4. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure 5. Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science. 6. Creation of microservices and APIs for serving ML models and ML services 7. Evaluating new machine learning methods and adopting them for our purposes. 8. Feature engineering to add new features that improve model performance. Required skills: 1. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with around 5 years of professional work experience working on real-world applications. 2. Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns). 3. Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch, 4. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts 5. Architecting and implementing end-to-end solutions for accelerating experimentation and model building 6. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) 7. Ability to perform both independent and collaborative research. 8. Excellent written and spoken communication skills. Preferred qualification and experience: B.E.\B. Tech\B.S. candidates' entries with 3+ years of experience in the aforementioned fields will be considered. M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.

IMMEDIATE HIRING FOR THE POSITION OF TRAINER ( DATA SCIENCE / DATA ANAYLST / BUSINESS ANALYST /) (ONSITE ONLY - DELHI) Note: Before applying, pls check the requirement thoroughly. https://maps.app.goo.gl/XZxhaf4dT4JDMSnv6 https://www.veridicaltechnologies.com/ Pref. for Delhi Candidates and those who would like to relocate in Delhi immediately. Good knowledge & experience in Training of the following: Machine learning and Deep learning Mathematics Statistics, Probability, Calculus and Linear Algebra Python, R, SAS, SQL, SciPy Stack NumPy, pandas and matplotlib Tableau, Microsoft Excel, Power BI, MySQL, MongoDB, Oracle Good Communication skills ACADEMIC QUALIFICATIONS: M.TECH (IT/CS) / MCA / B.TECH (IT/CS) EXPERIENCE : MINIMUM 2 TO 3 YEARS IN TRAINING ONLY CONTACT AT 93195 93915 VERIDICAL TECHNOLOGIES AGGARWAL PRESITGE MALL 512, 5TH FLOOR, RANI BAGH, PITAMPURA DELHI-110034 LANDMARK : M2K PITAMPURA NEARSET METRO STATIONN: KOHAT ENCLAVE OR SHAKURPUR Job Type: Full-time Pay: ₹10,747.19 - ₹30,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Experience: total work: 1 year (Preferred) Work Location: In person