1151 Probability Jobs - Page 11

A Multi-Player Gaming Company - Head Digital Works is the pioneer & one of India's largest online skill-gaming companies that develop and operate zeal-driven applications for online gaming enthusiasts. With more than 60 million+ users and multiple brand verticals like A23Rummy and Cricket.com, We have come a long way in the past 18 years. What started from a small garage in 2006 with nothing but a dream - "To become India's leading online gaming portal" has now turned into one of the most profitable start-ups in India that have gone through cycles of angel, venture capital and private equity investments. We're a diverse group of thinkers and doers who are reimagining what's possible to make it easier for all of us to do what we love in new ways. Responsibilities: Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making Define and analyze key product data sets to understand customer and product behavior Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations Perform feature engineering and develop and deploy predictive models/algorithms Coordinate with different teams to implement and deploy AI/ML driven models Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders Develop processes and tools to monitor and analyze model performance and data accuracy Technical Skills : At least 2-4 years of experience of working with real-world data and building statistical models Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc Hands-on knowledge of SQL and Excel Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks Strong foundation of statistics and probability theory Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications Other Skills: Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience Ability to break a problem into smaller chunks and design solution accordingly Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights Ability to write modular, clean and well-documented code along with crisp design documents Strong communication and presentation skills What We Offer - Competitive salary Mediclaim Policy - Best in Industry Flexible working hours Career Development Program Best in Industry Reward and Recognition program Inclusive and Collaborative Work culture Complimentary snacks are served everyday If you would want to be a part of this multi-million user company, apply on the given link

Responsibilities: Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making Define and analyse key product data sets to understand customer and product behaviour Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations Perform feature engineering and develop and deploy predictive models/algorithms Coordinate with different teams to implement and deploy AI/ML driven models Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders Develop processes and tools to monitor and analyse model performance and data accuracy Technical Skills : At least 1 years of experience of working with real-world data and building statistical models Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc Hands-on knowledge of SQL and Excel Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks Strong foundation of statistics and probability theory Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications Other Skills: Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience Ability to break a problem into smaller chunks and design solution accordingly Ability to dive deeper into data, ask right questions, analyse with statistical methods and generate insights Ability to write modular, clean and well-documented code along with crisp design documents Strong communication and presentation skills

As an AVP, Marketing technology audience analyst at Synchrony, you will play a crucial role in understanding, building, and tracking audiences across various platforms to optimize current audience campaigns and shape future strategies. Your responsibilities will include performing audience analyses using internal and external data sources, creating data personas, and collaborating with marketing partners to identify trends and opportunities. Additionally, you will work closely with cross-functional teams to collect data for audience insights and manage the workflow for audience segments in programmatic and personalization campaigns. To excel in this role, you should possess a Bachelor's Degree with at least 5 years of experience in mining and analyzing digital audience performance in the financial domain. You should also have a strong background in enterprise-level data sciences, analytics, and customer intelligence, with a minimum of 3 years of experience in digital marketing within platforms such as CDP, DMP, DV360, Google Analytics, and more. Desired characteristics for this role include proven experience in analyzing massive data sets, proficiency in data mining techniques using programming languages like Python, SQL, and Java, and leadership skills in working with cross-functional partners to achieve mutual goals. Familiarity with analytic platforms and tools such as Hadoop, R, Hive, and Tableau, as well as knowledge of probability and statistics, machine learning, and artificial intelligence, are highly valued. You should be able to compile and analyze data from paid media and digital marketing campaigns, provide strategic recommendations to client/product teams, and demonstrate expertise in data management and analytics. Your ability to think creatively, synthesize insights, and lead strategic discussions will be essential in driving business decisions and achieving tangible results. Experience in Agile methodologies and consumer financial services organizations is a plus. If you meet the eligibility criteria of having a Bachelor's Degree with 5+ years of experience in digital audience performance analysis, or relevant experience without a degree, and are interested in working from 2:00 PM to 11:00 PM IST, you are encouraged to apply for this Level 10 role within the Marketing team at Synchrony.,

Minimum qualifications: Bachelor's degree in Business, Finance, Economics, Statistics, or a related quantitative field, or equivalent practical experience. 4 years of experience in financial planning and analysis, consulting, or a related field, or an advanced degree. Preferred qualifications: Experience with building data infrastructure (e.g., designing architecture, building data pipelines, implementing monitoring) and implementing reporting solutions. Experience in developing strategies in a changing environment, making business decisions for resource allocation to achieve the business outcome. Ability to work with data to produce analysis, promote decision making with numerical analysis and generating insights. Ability to communicate with all levels, set objectives and achieve results. Excellent communication skills with the ability to work with multiple departments. About the job Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges. As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support. The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business. Responsibilities Perform analysis of datasets to extract information, identify trends, and generate insights for the business. Identify, evaluate, and prioritize risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability of unfortunate events or to maximize the realization of opportunities. Manage projects involving multiple stakeholders, timelines, organizational implications, and changing circumstances. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Job Summary: We are seeking an experienced and passionate Mathematics Professor to teach undergraduate and/or postgraduate students, conduct research, guide academic projects, and contribute to curriculum development. The ideal candidate will have strong subject knowledge, excellent teaching skills, and a commitment to academic excellence. Key Responsibilities: Teach undergraduate and/or postgraduate Mathematics courses such as Algebra, Calculus, Statistics, Differential Equations, Linear Algebra, etc. Develop lesson plans, assessments, and instructional materials aligned with course objectives. Mentor and guide students in academic projects, research activities, and career planning. Engage in scholarly research and publish in reputed academic journals. Participate in departmental activities, faculty meetings, and institutional development initiatives. Contribute to curriculum design and continuous improvement of teaching methodologies. Conduct remedial classes or workshops to support academically weaker students. Qualifications & Experience: Masters degree in Mathematics / Applied Mathematics / Statistics; Ph.D. preferred. Minimum 2–5 years of teaching or research experience in a reputed academic institution. Strong communication and classroom management skills. Familiarity with online teaching tools and blended learning methods is an advantage.

Overview We are currently seeking an experienced Analytics Client Service Specialist to join our Client Coverage organization in Mumbai. The MSCI Global Client Service team is composed of experienced financial professionals that provide first tier support for our clients around the world. Team members are responsible for responding to a wide variety of methodology, usage, interpretational, and technical questions on both analytical and benchmark products. Client contact is primarily via telephone and email. Client service analysts will need to work closely with Senior Client Service Members, Sales and consultants to develop and maintain client relationships. Responsibilities Provide premium service to assigned accounts Answer detailed client inquiries about MSCI products and methodology. These queries may be related to Market Risk (VaR, Stress testing, Back testing, Risk Attribution etc.), Liquidity Risk, Credit Risk, Portfolio Optimization, Performance Attribution Participate in developing client relationships through proactive follow up on issues raised Maintain relationships by ensuring relevant product and model information is shared with clients Lead regular calls with important accounts to cover outstanding issues and giving updates Contribute to producing service reviews and service plans that support client renewal initiatives Execute onboarding and training of Clients Provide 100% ownership (to resolution) of support issues from important accounts within assigned segment Provide full ownership of account servicing to become a subject matter expert on analytics products and services Championing process changes to improve Client Experience and Efficiency Qualifications Excellent English written and oral communication skills; ability to articulate complex concepts and methodologies to clients and senior management is a must Client facing skills – an ability to quickly gain the clients trust; Client Orientated – demonstrate ownership for the clients issue, be seen as the Client’s champion within MSCI Execution – well organized, ask questions, raise potential problems early Problem solving skills; Technology proficient: Numerical analysis using Microsoft Excel A self-starter and highly motivated, ability to work individually and within a team and ability to work in a fast paced environment with constant interruptions Candidate must be able to keep track of multiple issues without leaving issues unresolved 3-8 years of work experience; Relevant experience is a plus A numerate Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Economics, or related field; CFA, FRM is a plus What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Position Overview Job Title: Risk Senior Specialist, AVP Location: Mumbai, India Role Description Risk division has a fundamental responsibility to protect the Bank. With group-wide responsibility for the management and control of credit, market, operational and reputational risks, we have a unique vantage point which allows us a holistic view of our businesses and our clients. Nearly 4,000 employees work together in our division to achieve our ambition to be an industry-leading risk management organisation. In an increasingly complex environment, risk management is fast-becoming the most sought after place to build a career within the banking world. Risk at Deutsche Bank is relied upon to help shape the strategy of the organisation and the wider industry agenda. The Global Credit Analytics Function (GCAF) is entrusted with the work of assigning and surveillance of Probability of Default Rating to Corporate and Institutional counterparties of the Bank. As part of Risk’s transformation journey, GCAF is bringing Credit documentation to its purview and requires strong analysts to handle the same. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Undertake accurate and timely credit analysis of counterparties (including Corporates and FIs) by identifying business and financial risk based on understanding of business model, financial statement analysis, preparing cash flow model/ forecast and peer analysis. Write Rating reports and credit reviews/analysis for recommendation to Senior members for approval. Active participation in Live trades with onshore credit officers (KCP) by understanding the trade dynamics, providing your recommendation and completing the credit write-ups (Addendum) for the same. On-going monitoring & surveillance of assigned international portfolios, including rating changes, market/industry developments, news events, etc and assessing the impact on credit worthiness of the counterparty, keeping DB’s exposure in mind. Understand the various banking products (including Trade Finance and Derivatives) and credit documentation for the same. Support the KCP with appropriate checks and its inclusion in the credit reviews. Monitoring of limits/exposure: Updating Limit amendments and credit relevant data updates in the credit system. Exposure monitoring and timely clearance of Excess tickets. Timely monitoring of covenants and regular discussion with KCPs. Manage own credit portfolio and assist senior decision makers to make informed decisions based on your recommendations Interface directly across with the Credit officers (KCP) and other stakeholders (business side, Exposure managements, and various ops teams) to ensure complete understanding of DB’s exposure and timely completion of the credit reviews. Participate in ad-hoc projects related to portfolio exercises (industry/regional exercise), regulatory developments, sector notes, audit exercises and support onshore KCPs for various business strategies. Ensure compliance with relevant and applicable local and global regulatory and policy requirements Your Skills And Experience Relevant professional qualifications are MSc / MA / MBA / CA / CFA, etc. Relevant work experience in credit underwriting Strong analytical skills, knowledge of financial markets and economic/industry trends Strong accounting background, knowledge of financial ratios, financial statement analysis, cash flow projections or project finance How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Looking for Maths Lecturer for Graduate students. Board concepts plus statistics.

Job Title: Data Scientist Location: Bengaluru, Gurugram Experience: 5+ Years About the Role: We are looking for an experienced Data Scientist to develop and deploy AI/ML and GenAI solutions across large datasets using modern frameworks and cloud infrastructure. You’ll work closely with cross-functional teams to translate business requirements into impactful data products. Key Responsibilities: Collaborate with software engineers, stakeholders, and domain experts to define data-driven solutions. Develop, implement, and deploy AI/ML, NLP/NLU, and deep learning models. Work on preprocessing, analyzing large datasets, and deriving actionable insights. Evaluate and optimize models for performance, efficiency, and scalability. Deploy solutions to cloud platforms such as Azure (preferred), AWS, or GCP. Monitor production models and iterate for continuous improvement. Document processes, results, and best practices. Must-Have Skills: Bachelor's/Master’s in Computer Science, Data Science, Engineering, or related field. Strong programming in Python and SQL . Experience with Scikit-learn, TensorFlow, PyTorch , etc. Knowledge of ETL tools like Azure Data Factory , Databricks , Data Lake . Solid foundation in mathematics, probability, and statistics . Exposure to GenAI , Vector Databases , and LLMs . Experience working with cloud infrastructure ( Azure preferred ). Good-to-Have Skills: Experience with Flask , Django , or Streamlit . Knowledge of MLOps tools : MLFlow, Kubeflow, CI/CD. Familiarity with Docker , Kubernetes for model/container deployment. #teceze

Role: Data Analyst Experience: 7-15 Years Skill: Datawarehouse Concepts ETL tool-Informatica is must Python-Moderate Advance SQL Data Visualization tools-Power BI/MSTR Finance Domain JD: 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry. Hands-on experience with Vertica/Teradata for querying, performance optimization, and large-scale data analysis. Advanced SQL skills: proficiency in Python is a strong plus. Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration. Experience working in hybrid onshore-offshore team environments. Deep understanding of data modeling concepts and experience working with relational and dimensional models. Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences. A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios. Strong understanding of life insurance products and business processes across the policy lifecycle. Quantitative Finance: Understanding of financial modeling, risk management, and derivatives.

Function The HSEQ superintendent is responsible to provide support across the fleet for learning, improving work and quality across the organization in a safe and efficient manner. The HSEQ Superintendent Is Responsible For Enhancing Organizational Resilience Learning how to improve work onboard. This includes learning from incidents and everyday work Sharing learnings to improve work on board Managing change across the fleet Reducing probability of unexpected events onboard Preparing for handling unexpected events onboard Maintaining teamwork across dependencies KPIs Safety performance including LTIF & TRCF Number of vessels inspected/audited within 12 months Timely submission of audit/inspection reports Timely submission of incident investigation reports Tasks Tasks Shall Include But Not Be Limited To Carrying out investigations, preparing and reviewing reports Preparing bulletins and share learnings Sharing fleetwide preventive actions with the fleet cells and vessels (as applicable) Preparing learning material Sharing learnings with colleagues on board and ashore Conducting debriefings / induction of colleagues working on board Conducting fleet wide safety campaigns Prepare, review, improve risk assessments Updating Management Review reports Review work related documents like HSE Meeting, RAs, Permit to Work, Daily Work Plan Meeting Unsafe conditions etc., Collate and review data and analyze to derive learnings Conducting audits and training on vessels Conducting audits in company offices and third-party sites as requested by office Monitoring the implementation of the company SMS during vessel visits and providing feedback to the office Guiding ship staff on SMS implementation and best management practices Delivering training presentations as requested by the office Assisting, where required during external audits on board and in office(s) and during SIRE inspections as directed by the office Management of change Tracking, reviewing, and sharing new rules and regulations Control and review of SMS Annual reviews of Risk assessments Ship Shore drills Report to:- Head HSEQ Substitute:- HSEQ Superintendent Minimum Experience:- 2 years’ experience in a senior management position on board or 1-year experience in a similar rank in shore-based position Minimum Qualifications:- Master’s Certificate of Competency Internal Audit Certification (Mandatory)

TCS HIRING !!! Role : Data Scientist Required Technical Skill Set : Data Science Experience: 3-8 years Locations: Kolkata,Hyd,Bangalore,Chennai,Pune Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts.

About Kunduz Kunduz is a global ed-tech startup aiming to make educational resources more accessible for everyone and democratize test prep and learning. Kunduz's flagship Q&A product is a mobile platform that helps students get their questions answered through its tutor network and proprietary AI technology. So far, 35,000 professional tutors answered 40 million questions from thousands of students across multiple countries through Kunduz. Kunduz was founded and scaled by a group of friends from Bogazici University, Istanbul. It has teams in Turkey, India, and the United States. Kunduz has been funded by renowned Silicon Valley investors such as Y Combinator, Social Capital, First Round Capital, prominent ed-tech angels, and family offices across the world. Position Overview This is an opportunity where you can allocate your time to help students with their doubts. Key Ownership areas: Demonstrate strong expertise in math topics such as Trigonometry, Calculus, Logarithms, Probability, Statistics, Matrices, and Determinants for students. Simplify intricate mathematical concepts into easily digestible components. Analyze and understand the root cause of the doubts to enable students to improve rather than just solve the doubts. Be a mentor to every student and teach concepts in a friendly way. Work in developing student expertise and confidence in mathematics

Role: Assistant Manager, Gram Seva Location: Mumbai, India Vacancy: 3 Department: Gram Seva Last day for Applications: 25th July 2025 Employment Type: 3-year contractual role and may be renewed for an additional period of Two years basis performance. Salary: The CTC offered range will be between 6 LPA to 7 LPA fixed, plus an up to 20% variable component linked to your annual performance. The CTC offered will be dependent on your performance in the interview and relevant experience & skill set. This is non-negotiable. Please participate only if you are comfortable with this CTC range. Required Qualifications & Work Experience: Master’s degree or equivalent in Rural Development, Social work or related areas with specialization in the field of Community Development, Sustainable Livelihoods, and other related fields etc. Minimum 2 years of experience in managing projects in the relevant field. Key Responsibilities - The person in this position will be responsible for the following: Providing support to Program Coordinator/Program Head in developing new programs, implementing, and evaluating assigned programs, etc.; monitoring and analyzing program development and implementation; identifying problems and issues to be addressed and initiating corrective actions; liaising with relevant parties; ensuring follow-up action Organizing and preparing written outputs, e.g. draft background papers, analysis, sections of reports and studies, inputs to publications, etc. Providing substantive support to Program Head for high-level meetings to include proposing agenda topics, identifying participants, preparation of documents, presentations and reports, etc. Coordinating with Communication team for outreach and communication activities to raise awareness about, and widely disseminate, outputs and findings resulting from the assigned programs Organizing seminars/ roundtables/ workshops for national experts addressing sustainable development issues Monitoring, evaluating and reporting on programs undertaken by SBI Foundation, including reporting to partners/funders Conceptualize and design projects. Float RFP for inviting proposals. Defining/Refining project structure, targets, and implementation plan Budget of shortlisted agencies. Due Diligence, KYC for existing partners, Audits, Site visits etc. of Shortlisted and existing partners & create a final shortlist Project evaluation report and final proposals to be presented to appropriate committee/Board Final communication to selected agencies Agreement with agencies Continuous monitoring, review, and evaluation Project completion and final reporting Providing all the necessary documents, and information during Internal Audit/Statutory Audit Perform any other task/role assigned by the Management of the SBI Foundation. The incumbent will also be involved in planning, budgeting, writing research papers on varied subjects, review of schedule timelines, on-boarding, resource management for the programs, SPOC for issue management, onsite-offsite coordination and communicating innovative ideas/changes for program management/development activities. Key Responsibility Areas will also include: Budget Achievement: Meeting budget targets through the year by conceptualizing innovative programs and processing proposals received. Undertaking programs as per the budget allocated to the position/team Program Management and Delivery Participate with NGOs/Implementation agencies closely in program delivery Ensure that programs meet objectives, timelines are adhered to and beneficiary experience is of high quality Effectively communicate with diverse stakeholders, including NGOs, partner teams, beneficiaries, etc. Establish a clear understanding of program expectations including on timelines, quality check measures, etc. Manage expectations, align and push back as program requirements demand (do this on multiple programs at a time) Monitoring and Evaluation Monitor programs regularly by conducting site visits to ensure timely achievement/delivery of targets/results. Evaluate the data provided/gathered from NGOs/onsite to track the progress of the program. Estimate the probability of success/failure and take necessary steps to meet the desired outputs. Undertake/initiate impact assessment by yourself or with help of an external agency to judge the success of the programs and devise a future course of action. Promotion and Branding. To develop promotional material like pictures/posters/quotes etc. from the programs and share with the Communication Team to ensure programs get the required publicity To write/provide case stories from the programs for use on social media and websites. Essential Skills & Qualities: Proven work experience in the field, including collaboration with government agencies, multinational corporations, UN, or other international development organizations (an advantage) Project facilitation experience is beneficial Strong program management skills Proficient in MS Office Analytical and organizational skills with the ability to work in a team Knowledge and experience with the development situation in India Initiative, analytical, and good networking skills Excellent interpersonal and cross-cultural communication skills Report writing and presentation skills Although, the individual will work in a team, it is essential that the chosen candidate can work in an independent manner to complete the given assignments in a time bound manner. Note: Due to the high volume of applications, only shortlisted candidates shall be contacted for further correspondence. 🌟 Why Join SBI Foundation? Because We Care About YOU! 🌟 At SBI Foundation, we believe that a fulfilling career is more than just a paycheck—it’s about feeling valued, supported, and inspired. Here’s what makes us stand out: ✨ Performance-Driven Rewards Annual performance-based incentives to recognize and reward your contributions. ✨ Health & Well-Being Comprehensive health and accidental insurance for you and your loved ones because your well-being is our priority. ✨ Everyday Perks That Make a Difference Stay connected with mobile reimbursements. Enjoy delicious meals at the office with our subsidized food facility. Keep learning with support for role-based training programs. ✨ A Culture of Care & Engagement We foster a vibrant workplace where employee engagement takes center stage. Be part of celebrations, initiatives, and programs that create a sense of belonging and collaboration. For more details please visit: www.sbifoundation.in

You will be an integral part of TuriyamAI's team, focused on developing and optimizing math libraries for AI applications on our next-generation AI hardware. Your role will involve collaborating with hardware and software developers to ensure seamless integration of math libraries, as well as staying updated with the latest advancements in AI and math library development. Additionally, you will be responsible for designing, optimizing, and validating math libraries to achieve hyper-optimized solutions for AI workloads. To excel in this position, you should possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Computer Engineering, or a related field, along with at least 5 years of proven experience in developing high-performance math libraries, preferably for AI applications. Experience with GPU or AI accelerator programming, familiarity with linear algebra, calculus, probability, and statistics libraries, as well as an understanding of HW architecture are key requirements for this role. Strong problem-solving skills, the ability to work in a fast-paced environment, and a willingness to learn new hardware architecture are also essential. Preferred qualifications include familiarity with machine learning frameworks such as PyTorch, knowledge of compiler technology fundamentals, kernel fusion techniques, assembly programming, and low-level optimizations. In return, TuriyamAI offers a competitive salary and benefits package, the opportunity to work on cutting-edge AI technology, a collaborative and dynamic work environment, as well as professional growth and development opportunities. If you are excited about the prospect of contributing to the future of AI computing and possess the required qualifications and experience, we invite you to submit your resume and a cover letter to careers@turiyamai.com.,

As a Data Scientist at our Mohali location, you will be an integral part of our team, dedicated to building and optimizing machine learning models for real-world applications. Your focus will range from classical approaches to advanced neural networks, working with large datasets to uncover insights and develop scalable data products. Your primary responsibilities will include designing, developing, and evaluating both supervised and unsupervised machine learning models. You will collaborate closely with data and product teams to deliver comprehensive ML solutions. Utilizing Python and SQL, you will analyze extensive datasets to generate actionable insights and continuously enhance model performance using real-world data. Moreover, maintaining detailed documentation of models, experiments, and processes will be essential to your role. To excel in this position, you should hold a Bachelors's or Masters's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python programming (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc.) and SQL for data manipulation is crucial. A solid understanding of core ML techniques such as classification, regression, clustering, and dimensionality reduction is required. Additionally, experience with NLP/LLM libraries like Hugging Face, spaCy, NLTK, or OpenAI APIs, along with a strong foundation in statistics, probability, and hypothesis testing, will be beneficial. Preferred qualifications include familiarity with vector databases, embeddings, fine-tuning, or prompt engineering for LLMs. Experience with cloud services like AWS, GCP, or Azure is a plus. This is a full-time, permanent position offering benefits such as paid sick time and Provident Fund. The work schedule is during the day shift and morning shift. Candidates must be willing to commute or relocate to Chandigarh, Chandigarh, before starting work. A minimum of 3 years of experience as a Data Scientist or in data science is required, along with proficiency in English. The work location is in person at Chandigarh, Chandigarh.,

Data Scientist II Hyderabad, Telangana, India Date posted Jul 15, 2025 Job number 1847276 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 5+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You – Experience, Education, Skills, And Accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, It Would Be Advantageous If You Have Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About The Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area. Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

As an AVP, Marketing Technology Audience Analyst at Synchrony, you will play a crucial role in understanding, building, and tracking audiences across various platforms. Your primary focus will be on developing best practices for audience governance and supporting the broader audience strategy development. Your responsibilities will include performing audience analyses using internal and external data sources to optimize current audience campaigns and shape future campaign strategies. You will create data personas, collaborate with marketing partners to identify trends and audience opportunities, and work with cross-functional teams to collect data for audience insights. Additionally, you will be responsible for building audiences, managing the workflow from CRM data onboarding to audience segment delivery for programmatic and personalization campaigns. You will establish partnerships with cross-functional teams to understand their business needs and goals, delivering processes and opportunities accordingly. To qualify for this role, you should have a Bachelor's Degree with at least 5 years of experience in mining and analyzing digital audience performance. Alternatively, a minimum of 7 years of relevant experience in the financial domain will be considered in lieu of a degree. You should have a strong background in enterprise-level data sciences, analytics, and customer intelligence, with at least 3 years of professional digital marketing experience. Desired characteristics for this role include proficiency in data mining techniques and analytic programming languages such as Python, SQL, Java, SAS, and others. You should have leadership experience working with cross-functional partners and familiarity with analytic platforms and tools like Hadoop, R, Hive, and Tableau. Experience in areas such as probability and statistics, machine learning, and artificial intelligence will be advantageous. As an ideal candidate, you should be able to execute analyses with massive data sets, collaborate effectively with diverse teams, and provide strategic recommendations based on data insights. You should be a creative thinker with a history of synthesizing insights to drive business decisions and lead strategic discussions. If you meet the eligibility criteria and possess the required skills and experience, we encourage you to apply for this role. This is a Level 10 position, and the work timings are from 2:00 PM to 11:00 PM IST. For internal applicants, it is essential to understand the criteria and mandatory skills needed for the role before applying. Informing your manager and HRM, updating your professional profile, and ensuring your resume is up to date are crucial steps in the application process. Employees at Level 8 and above who meet the specified tenure requirements are eligible to apply. Join us at Synchrony and be part of a dynamic team that drives ROI, elevates brand presence, and fosters a culture of innovation in the ever-evolving market landscape.,

The Quant Analyst will be responsible for developing and validating models to estimate power demand, generation, and nodal prices. You will collaborate directly with traders to optimize portfolio construction using engineering techniques. A key aspect of your role will involve familiarizing yourself with energy markets and implementing innovative quantitative techniques. Additionally, you will collaborate with the risk management team to measure, analyze, and mitigate risks in our power trading business. Your responsibilities will include: - Collaborating with the nodal trading team to develop, manage, and enhance quantitative models for nodal power markets. - Conducting statistical analysis of electricity nodal market price and demand data. - Building statistical load/generation models using Time Series and Regression-based techniques. - Applying financial engineering techniques/models to enhance and optimize portfolio construction. - Developing metrics to assess market attributes and producing reports to quantify market behavior. - Utilizing Data Mining techniques to identify signals in semi-structured data sets. Requirements: - Bachelor's degree in Financial Engineering, Mathematics, Applied Mathematics, Operations Research, Electrical Engineering, Computer Science, Industrial Engineering, or Statistics. - 2-4 years of experience in developing, maintaining, and supporting analytical libraries and pricing models. - Proficiency in Python programming and SQL databases. - Understanding of statistical and probability principles in Finance. - Familiarity with optimization techniques and statistical learning methods. - Strong interest in comprehending the Energy Markets. - Entrepreneurial mindset with the ability to deliver results under pressure and a willingness to work in a collaborative team environment.,

Who we are: Welcome to Archipelago, where we're redefining the landscape of commercial property insurance with our AI-powered data network. We believe in the power of accurate information to drive meaningful business decisions and offer solutions to generate accurate information as easily and efficiently as possible. By connecting brokers, owners, and insurers, we empower our customers to navigate the complexities of the property insurance and risk management processes with confidence. Archipelago was founded in 2018 and serves many of the world’s largest property brokers and their clients, representing over 500 of the worlds largest and most dynamic commercial property portfolios to improve their data and better represent their risks. Archipelago has achieved Series B funding from industry-leading investment partners including Scale, Canaan Partners, Ignition Partners, Prologis Ventures, Stone Point Capital, and Zigg Capital. Join us at Archipelago and be part of a team dedicated to transforming the commercial property insurance industry. We're seeking individuals with a passion for innovation, a commitment to excellence, and a drive to further elevate and empower our customers. If you're ready to make a meaningful impact and be part of a dynamic, forward-thinking company, we invite you to explore our job opportunities and join us on our journey to keep data accurate and workflows seamless. Note: Preferred candidates to be located in Noida, India. You will be required to schedule a portion of your working hours to coincide with our New York-based team, specifically from 9:00 AM to 12:00 PM Eastern Standard Time. Who you are: Archipelago is seeking a Senior Machine Learning Engineer to join our growing labs team to work on Gen AI systems. We are looking for an engineer who is comfortable with working with full stack development. From building models that run in an extraction pipeline to UIs that test and evaluate the results of experiments. We iterate quickly, ship every day, build for the long term, and are looking for smart, independent engineers who want to apply their trade with like-minded people. Responsibilities : Designing and developing machine learning and deep learning systems Building RAG pipelines with LLMs Building Agentic AI applications Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback Implementing appropriate ML algorithms Orchestration of long running jobs for data extraction Building UIs to test & evaluate results of ML experiments Translate research papers into high-quality, production-ready code Ship code to production frequently Coach and mentor more junior engineers What Success Looks like in 12 months: Built multiple use-cases that are powered by Agentic AI Built models that implement pattern recognition and data extraction Design and implemented a framework for back testing the results of ML experiments You are part of Archipelago’s India based AI team Qualifications: 4+ years experience as a Machine Learning Engineer or similar role Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex) Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost) Knowledge of how to deploy and maintain ML services in a production environment Experience in designing and deploying feature engineering pipelines in production Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Bonus Points: Experience building data ingestion pipelines Experience with vector databases (e.g. qdrant, Pinecone) Familiarity with orchestration frameworks like Luigi or Flyte Familiarity with gradio, streamlit or Dash GOlang and JavaScript is a plus Experience building applications for the insurance industry Benefits: We offer excellent benefits regardless of where you are in your career. Providing our employees the means to lead healthy, balanced lives results in the best possible work performance. *All benefits are subject to change at management’s discretion.

Job Title: Generative AI Engineer Location: Pune, India Department: Data Analytics Foundational Platform (DAFP), Wealth Management Americas (WMA) Technology Employment Type: Full time About the Role We are looking for a highly motivated and innovative Generative AI Engineer to join our Wealth Management Americas (WMA) Technology – Data Science Team in Pune. In this role, you will tackle complex, real-world challenges in wealth management using cutting-edge technologies, with a focus on machine learning , Generative AI , and large-scale data analysis . You will be part of a collaborative and global team that drives impactful insights and solutions for clients, advisors, and the business. Key Responsibilities Design and develop advanced statistical and machine learning models to derive actionable insights and improve business outcomes. Work with Generative AI (GenAI) technologies to create personalized insights for financial advisors, clients, and prospects. Leverage large datasets to conduct analysis, identify trends, and build predictive models. Integrate AI/ML models into wealth management workflows in partnership with cross-functional teams. Develop and implement solutions using LangChain, LangGraph , and Vector Databases to build scalable, intelligent applications. Contribute to the innovation of client-facing platforms through data science and automation. Required Qualifications & Skills Bachelor’s or higher degree in Machine Learning, Computer Science, Mathematics, Computational Linguistics , or related technical fields from a premier institution. Strong theoretical background in Probability, Statistics, Linear Algebra, Calculus , and Machine Learning . In-depth expertise in Deep Learning and Generative AI/LLM architectures. Practical experience with Large Language Models (LLMs) via platforms like Azure OpenAI , Anthropic , etc. Hands-on experience in cloud ecosystems such as Azure , AWS , GCP , or Databricks . Proficiency in LangChain , LangGraph , and working with Vector Databases . Strong programming skills in Python , with familiarity in libraries such as TensorFlow, PyTorch , or Hugging Face . Knowledge of financial products (e.g., mutual funds, ETFs) and client segmentation is a plus. Strong analytical and problem-solving abilities. Excellent communication skills to articulate complex ideas and insights clearly to both technical and non-technical stakeholders. About the Team You will join a global Data Science team within the Data Analytics Foundational Platform (DAFP) under Wealth Management Americas Technology . This team operates across the US, Poland, and India , driving AI and analytics innovation across the business.

What You'll Be Doing: Lead the creation and curation of a specialized mathematics dataset focused on skills mentioned below. Review and validate mathematical content for accuracy, relevance, and mathematical value Establish quality control standards and review frameworks for dataset development Make authoritative decisions on content inclusion, modification, or removal, and implement action plans to address quality issues or knowledge gaps Collaborate with AI researchers to understand model training requirements Document dataset creation methodologies and quality assurance processes What We're Looking For: MSc or PhD in Mathematics required, with extensive knowledge and expertise in domains given below. Strong understanding of mathematical concepts at advanced levels Experience in academic review or content validation preferred Excellent attention to detail and analytical thinking skills, along with strong written and verbal communication abilities Good to have: Experience tutoring postgraduate-level students Familiarity with Question bank Creation at Postgraduate level. Experience in academic research or teaching in mathematics Required Domain Knowledge Mathematical Optimization & Game Theory Probability & Statistics Abstract & Discrete Mathematics Mathematical Analysis & Complex Analysis Calculus Number Theory Geometry

Experience range should be 2-4 Years Objectives of this role Design and develop machine learning algorithms and deep learning applications and systems Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications Identify differences in data distribution that could potentially affect model performance in real-world applications Ensure algorithms generate accurate user recommendations Stay up to date with developments in the machine learning industry Responsibilities Study and transform data science prototypes and apply appropriate machine learning algorithms and tools Run machine learning tests and experiments, and document findings and results Train, retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Impeccable analytical and problem-solving skills Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras or PyTorch Familiarity with data structures, data modeling, and software architecture Excellent time management and organizational skills Desire to learn Preferred qualifications Proven experience as a machine learning engineer or similar role Familiarity with Python, Java, and R Excellent communication and collaboration skills Innovative mind with a passion for continuous learning General knowledge of building machine learning systems Bachelor’s degree (or equivalent) in computer science, mathematics, or related field Job Type: Full-time Pay: ₹468,726.69 - ₹2,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

We are looking for high-conviction, research-backed traders and analysts who can generate and short-to-medium term stock and options trade ideas for DailyTrades.in. You will be responsible for identifying alpha-generating opportunities, providing clear entry/exit plans, and tracking trade outcomes. Responsibilities: Scan markets daily to identify high-probability trades in equities and derivatives generate trade ideas with: Entry range Target price Time horizon (1–3 months typically) Risk parameters (stop loss if any) Track live P&L of recommendations Share rationale for each trade using charts, news, or fundamentals Work with our product and compliance team to publish trades on the platform Preferred Expertise: Strong understanding of technical indicators: EMA, RSI, chart patterns Fundamental analysis (for swing trades) Options trading strategies: spreads, directional bets and headge . Experience: 1-3 years minimum in equity/derivatives trading or research. Job Types: Full-time, Permanent, Freelance Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Paid sick time Paid time off Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person