Machine Learning IN Wind Forecasting Jobs in Mumbai

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

Quantitative Researcher Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time Your Future Role at QRT As a Quantitative Researcher, your primary objective will be to develop high-quality predictive signals by analyzing large and diverse datasets to identify statistical patterns and trading opportunities. You will collaborate closely with fellow researchers to share methodologies, data sets, and results, contributing to the continuous improvement of QRT s global execution platform. Monitoring and refining model performance over time will be key to maintaining the effectiveness of your strategies. Key Responsibilities Develop and validate predictive signals using advanced quantitative techniques. Analyze large datasets across multiple time frames to uncover meaningful patterns and opportunities. Collaborate with other researchers to share insights, methodologies, and datasets. Implement trading signals and integrate relevant datasets within QRT s execution platform. Continuously monitor signal behavior and model performance, making improvements as needed. Your Present Skillset Advanced degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Engineering, or a related field. Proficiency in at least one programming language commonly used in quantitative research (e.g., Python, R, Matlab, C++, C#). Strong foundation in statistics, machine learning, NLP, or AI techniques is an advantage. Experience working with large datasets and conducting analysis across multiple time frames is a plus. Ability to multitask effectively in a fast-paced environment while maintaining attention to detail. Intellectual curiosity and a passion for solving complex problems by exploring new data sources and innovative methods. Capacity to work autonomously while contributing positively within a collaborative team environment.

Quantitative Researcher Macro Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We leverage technology, data, and research combined with trading expertise to solve complex challenges and generate high-quality returns for our investors. Our culture of innovation and collaboration drives our ambition to remain at the forefront of quantitative investing. Your Future Role within QRT As a Quantitative Researcher specializing in Macro strategies, you will lead the end-to-end research process from signal generation through implementation. Your primary goal will be to develop high-quality predictive signals by analyzing large and diverse macroeconomic datasets, identifying statistical patterns and investment opportunities. You will collaborate globally with researchers, data scientists, technologists, and traders to share methodologies and improve strategy performance over time. Key Responsibilities Lead full-cycle strategy research: signal generation, testing, implementation, and ongoing monitoring. Analyze large, diverse datasets to identify meaningful macroeconomic statistical patterns and opportunities. Collaborate and communicate research results, data sets, and processes with global teams. Integrate signals and datasets into QRT s global execution platform. Continuously track and optimize model performance within your strategies. Your Present Skillset Minimum 3 years of relevant experience with a proven track record in systematic strategy development. Advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Strong knowledge of statistics, machine learning, NLP, or AI techniques is advantageous. Proficiency in at least one major programming language (Python, R, Matlab, C++, C#). Experience analyzing large datasets across multiple time frames is a plus. Ability to multitask and maintain high attention to detail in a fast-paced environment. Intellectual curiosity and problem-solving mindset to explore new data sources and innovative research processes. Ability to work independently while contributing effectively within a collaborative global team. Excellent communication skills to engage with technologists, data scientists, and traders worldwide. Equal opportunity employer fostering a diverse and inclusive workplace. Empowering employees to work openly and respectfully for collective success. Comprehensive programs supporting healthy work-life balance alongside professional growth.

Job Title: Core Team Member - Supply Chain & Logistics Location: Mumbai, Maharashtra, India Job Type: Full-time Level: Manager/Supervisor About Elchemy At Elchemy, we are pioneering innovative solutions in the cross-border trade industry. As a rapidly growing startup, we are on a mission to redefine how businesses engage in global commerce. To stay ahead in the competitive landscape, we are building a best-in-class supply chain that serves as a key competitive advantage for our customers. We are looking for a highly-driven Core Team Member - Supply Chain & Logistics to oversee and optimize our end-to-end supply chain processes. This role is critical to driving operational excellence and scaling our supply chain to meet the growing demands of our business. What You ll Do: Supply Chain Strategy & Execution: Develop and execute comprehensive supply chain strategies that align with Elchemy s overall business goals, supporting critical decision-making at the highest levels. Ownership: Take full ownership of monthly supply chain targets, working cross-functionally to ensure alignment and successfully achieving company objectives. Team Development & Management: Lead, manage, and scale a high-performing supply chain team, ensuring they have the tools, resources, and mentorship to meet and exceed their goals. Supply Chain Operations Oversight: Oversee and optimize all aspects of the supply chain, including: Documentation management Freight forwarding Customs compliance Transportation and warehousing Quality assurance and sample shipments Customer support and satisfaction Vendor & Stakeholder Management: Build and maintain strong, productive relationships with key vendors and stakeholders, including freight forwarders, transporters, warehousing partners, CHAs, quality control laboratories, and shipping lines. Cost Optimization & Process Improvement: Continuously identify and implement cost optimization strategies across freight rates and supply chain processes while maintaining high service quality. Technological Innovation: Lead technological advancements in supply chain management, integrating software solutions and AI to enhance operational efficiency and scalability. Skills & Qualifications: Experience: 5-10 years of experience in cross-border supply chain, operations, and/or logistics, with a proven track record of successfully managing complex supply chains. Team Leadership: Experience in managing and scaling teams, working closely with leadership to achieve organizational goals. Chemicals Supply Chain Experience (Preferred): Experience in the chemicals supply chain is a significant plus, bringing specialized knowledge to optimize operations in this industry. Global Vendor Experience (Preferred): Experience working with US-based forwarders, brokers, and warehousing companies will be highly beneficial. Night Shift Operations Management (Preferred): Familiarity with night shift operations and managing round-the-clock supply chain activities. Structural and Organizational Expertise: Demonstrated ability to build organizational structures, hire the right talent, and establish operational processes for a rapidly growing business. Tech-Savvy: Comfort with technology-driven supply chain solutions, using software and AI to drive efficiency and innovation in operations. Problem-Solving & Ownership: High degree of ownership, with the ability to solve complex problems through a combination of first-principles thinking and data-driven decision-making. Frugality & Innovation: Comfortable working with constrained resources, embracing frugality without compromising on quality or service. Ownership & Impact: At Elchemy, you ll have the opportunity to make a significant impact. You ll be responsible for shaping the supply chain strategy of a fast-growing company, driving innovation, and building scalable processes that will define the future of cross-border trade. Dynamic & Fast-Paced Environment: Elchemy is a young company with an entrepreneurial culture. If you re someone who thrives on speed and is comfortable with ambiguity and rapid experimentation, you ll find this role exciting and rewarding. Growth & Learning: We are committed to your personal and professional growth. As part of our core team, you will be exposed to a wide range of challenges and will have opportunities to grow your skills and career in a fast-evolving industry. Collaborative Culture: Work closely with a diverse and passionate team who share a high level of integrity, accountability, and a commitment to achieving long-term success. If you are an innovative problem-solver with a passion for supply chain and logistics and are looking for an opportunity to make a real impact in a fast-growing startup, Elchemy is the place for you. Join us in building a cutting-edge supply chain that transforms global trade.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business, Representing VOC and creating awareness of all your portfolio internally and externally. You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients. Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win. Introduce new solutions and thought leadership pieces to the team Develop and drive continuous though leadership agenda and participate in external forums. Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level. Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration, cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan review, adjust with vertical leaders as well partnering with Regional Qualitative Practice. Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners. Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements. Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business. Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis. Own client-level annual operational (OP) planning inputs with the team at the account/geo level. Create sales reports and provide feedback to SA&I India leader. Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines. Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary. Ensure NIQ GDF / SDF fund usage where applicable. Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes. Voice of client Maintain & develop the commercial relationship to clients. Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader. Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships. Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals. Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders. Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual. Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners. People management Recruit and hire Qual Research staff as the case may be. Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience. Setting their targets and goals and guiding them on how to meet and exceed their KPI. Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team. Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on. Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accounta...

At Jupiter, we understand that money is a complex subject that triggers a rollercoaster of emotions. Our mission is to help people improve their relationship with money. We are a financial services platform that leverages technology to provide seamless, user-friendly products related to banking, loans, and investments. Whether it's a savings account, credit cards, investments, or payments, it s all on Jupiter. We simplify banking jargon, offer smart insights based on spending habits, and provide innovative features to help users make sense of their finances. Our Journey So Far Founded in 2019 by Jitendra Gupta, best known for creating Citrus Pay, Jupiter was born from a desire to create a customer-first experience for personal finance. In 2021, when we launched, we had a waitlist of over 100,000 eager users. In just 10 months, we crossed 1 million users. Today, Jupiter serves over 2.8 million happy users. Our Insights feature tracks spending and provides automatic categorization, even for external savings accounts. Our Edge CSB Bank RuPay credit card has received recognition for its transparent design and rewarding experience. Additionally, our No-Penalty SIP and Daily SIP at Rs 10 have made investing accessible to over 100,000 users. At Jupiter, we embrace cutting-edge technology, data analytics, and a diverse, creative team that shares our vision for a more accessible, transparent, and inclusive financial ecosystem. We re now looking for passionate individuals to join us on this journey. Who We re Looking For We are seeking a Business Finance Manager to oversee key financial operations, ensure compliance with regulatory and lender requirements, and drive business financial planning and analysis. The ideal candidate will have strong expertise in managing fundraising activities, MIS reporting, reconciliations, and supporting the organization's financial growth and stability. Roles and Responsibilities MIS & Book Closure: Prepare Management Information System (MIS) reports and ensure timely month/year-end book closure. Lender Compliance: Manage lender covenants, co-lending settlements, and communication with both current and past lenders. Regulatory Compliance: Ensure compliance with RBI regulations and other statutory requirements. Credit Ratings: Maintain and enhance credit ratings through effective agency management. Fund Raising: Lead fundraising activities, prepare financial models, and negotiate terms with investors. Business Finance & Analysis: Conduct budgeting, forecasting, variance analysis, and provide insights to support business decision-making. Reconciliation: Oversee accurate reconciliation of financial data and resolve discrepancies. What s Needed for This Role Qualifications: Bachelor s/Master s degree in Finance or Accounting (CA preferred). Experience: 3+ years of relevant experience in finance and compliance. Skills: Expertise in MIS, financial planning, and regulatory frameworks. Core Strengths: Strong communication, analytical, and leadership skills. Why You Should Work With Us Ownership Mentality: We value individuals who take ownership and see projects through to completion. Problem-Solving: We enjoy tackling meaningful problems and creating solutions that delight our customers. Healthy Conflict & Commitment: We value healthy debate and those who commit to decisions with confidence. Relentless Pursuit of Excellence: We constantly set higher standards and encourage continuous learning, growth, and improvement in a dynamic environment. Our Process At Jupiter, we raise the bar with each hire. Here s an overview of our hiring process: The Intro: Our recruitment team reviews applications to identify the best fit based on skills and past experience. Two-Way Street: An interview with the hiring manager to assess your fit for the role and discuss expectations. Assignments may be given. Culture Fit: We assess if your values align with our company culture, and vice versa. The Offer: If we find that you meet our expectations and align with our values, we will extend an offer. Qualification : Bachelors/Masters degree in Finance or Accounting (CA preferred).

Role: Manager - Analytics (Debt Management) Function/Department: Collections Experience: 5-10 Years Education: Graduation: B.Sc, B.Tech, BCA, B.Com, BBA Post-Graduation: MBA, PGDM Job Purpose: We are looking for a Manager - Analytics (Debt Management) to drive data-driven decision-making in our collections process. This role will focus on portfolio analytics, delinquency tracking, and performance optimization to enhance debt recovery strategies. The ideal candidate will leverage data insights to improve efficiency, ensure compliance, and support strategic initiatives within the Debt Management function. Key Responsibilities: Debt Portfolio Analysis & Performance Tracking: Monitor and analyze delinquency trends across buckets and DPD (Days Past Due). Develop predictive models and data-driven strategies to enhance debt recovery rates. Track collection performance and identify gaps or improvement opportunities. Collection Strategy Optimization: Define data-backed segmentation strategies to improve customer engagement and recovery. Optimize collection strategies by analyzing past trends, customer behavior, and repayment patterns. Implement early warning systems to prevent accounts from slipping into default. MIS & Reporting: Design and maintain MIS reports for performance tracking, agency efficiency, and collection outcomes. Generate and present insights-based reports for senior management decision-making. Automate reporting processes to enhance operational efficiency. Stakeholder Collaboration & Compliance: Work closely with collection teams, legal teams, and external agencies to improve recovery strategies. Ensure compliance with regulatory requirements in debt management analytics. Provide analytical support for policy and process enhancements within the collections framework. Preferred Skills & Attributes: Strong expertise in data analytics, predictive modeling, and statistical techniques. Proficiency in SQL, Python, R, Tableau, Power BI, or other data visualization tools. Experience in credit risk management, collections analytics, or debt recovery strategies. Strong understanding of regulatory guidelines and compliance frameworks in banking collections. Ability to work cross-functionally and drive actionable insights for business growth. Impactful role in shaping data-driven debt management strategies. Work in a fast-paced, analytical, and results-oriented environment. Opportunities for professional growth in a leading financial institution. If you are passionate about analytics, data-driven decision-making, and optimizing debt management, we invite you to apply and be part of our dynamic team! Qualification : B.Sc, B.Tech, BCA, B.Com, BBA

Description The Wind Resource Assessment Engineer will support a broad range of studies and other consulting services to support power producers to make decisions backed by business and engineering analysis, such as site condition assessments, independent engineering assessments, benchmarking assessments, feasibility studies, unit parameter studies, equipment reliability assessments, and other power generation studies. The engineer should have deep knowledge of Windographer, OpenWind, WindPRO and working knowledge of GIS software. This Engineer will be a lead contributor to the execution of technical studies and work with project managers to lead the technical execution for projects. The engineer will assist the project managers and lead aspects of project execution including Engineering Analysis, Project scheduling, deliverables, and quality management. The engineer will support and lead both on-the-job and classroom training efforts for less experienced team members. Key responsibilities will include: The engineer will be responsible for performing energy production estimates for wind farms using industry standard techniques. This will include processing and cleaning on-site wind data, generating wind flow models, performing site specific energy losses and uncertainty analysis. Understand project constraints to optimize proposed wind farm production or cost of energy production. Support project managers in execution of projects. Lead aspects of project execution including data collection, engineering, financial, and technical analysis; maintain project schedule; develop key project deliverables including analysis, reports, and presentations; support the project manager in quality control of deliverables; analyze and communicate project status, risks, schedule, and costs to project managers; plan, organize, and communicate project personnel needs to project and department management. Other duties as assigned. Qualifications Bachelor of Technology in Mechanical/Electrical engineering or related degree from an accredited program. Master s degree in the relevant field will be an added advantage. 4 to 5 years of experience associated with Wind data analysis, operations, planning, or consulting. Project experience with Wind generation such as project development and site selection, asset due diligence and acquisition support, independent engineer services, condition assessments, and cost and performance benchmarking, asset management, operations, maintenance, and engineering management. It is expected to be able to develop efficient wind turbine arrays considering site constraints and energy production. Knowledge in standard engineering, construction, and operation techniques, principles, and procedures associated with power generation facilities, specifically wind generation. Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills. Ability to work methodically and analytically in a quantitative problem-solving environment. Demonstrated leadership skills. Ability to independently solve difficult problems that require adaptation and modification of standard techniques, procedures, and criteria. Excellent written and oral communications skills. Demonstrated critical thinking skills. Ability to perform under pressure and tight deadlines and to be effective in on-site work environments. Ability to manage multiple projects concurrently, including identification of critical path items to ensure deliverable deadlines are met. Ability to focus on the big picture to effectively and efficiently provide services that meet client needs, while also having the ability to identify and analyze details that are critical to project outcomes. Willingness to learn new service offerings as client needs and the market requires changes to the service offerings provided by our group. Proficient in Microsoft Office Suite (Word, Excel, PPT). Qualification : Bachelor of Technology in Mechanical/Electrical engineering or related degree from an accredited program. Masters degree in the relevant field will be an added advantage.

Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.

About the job As an AI Sales Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will possess the necessary promoting skills to effectively build relationships with both Cloud Field Sales Representatives (FSRs), Customer Engineers (CEs) as well as new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply your impact and the impact of the team as a whole. You will partner with internal Google Cloud Platform (GCP) Sales teams to grow their AI businesses and drive overall value for GCP. Business cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts. Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory s business. Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience. Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market. Work with multiple customers and opportunities simultaneously, understanding each customer s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies. Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in promoting IT business solutions and executing a territory business strategy. Experience partnering with technical staff to build business cases and implementation plans. Experience identifying and driving use cases to solve customer problems. Preferred qualifications: Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors. Experience with promoting the AI technology stack. Experience working with product teams and an understanding of how to embed our technology into their product set. Familiarity with Google Cloud and Google Cloud AI offerings. Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader. Ability to drive business growth across a broad set of industry-specific AI/ML use cases.

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

Role Summary We are currently seeking a talented Data Scientist specializing in Campaign Effectiveness Analysis to join our dynamic team. The ideal candidate will be instrumental in advanced modeling, twinning, imputation, and analytics, focusing on supporting Campaign Effectiveness accounts and projects. Key Responsibilities Conduct causal inference, including hierarchical modeling, difference-in-differences, and using controls, with expertise in longitudinal design. Apply Machine Learning skills for imputation and quick drivers analyses. Familiarity with Campaign Effectiveness data and database, including an understanding of the unique methodologies required for this design. Execute modeling tasks in R for complex analyses. Utilize SPSS for ad hoc exploratory data analysis. Proficient in SQL for data retrieval, manipulation, and database creation across multiple studies. Perform static annual norms calculations efficiently, with knowledge of post-curve completion code. Contribute to institutional knowledge regarding normative standards, cleanup processes, and consequences. Execute data pulls for curves using SQL, ensuring alignment with normative standards. Manage years of curves in an R-based application involving thousands of curves. Join curves to an adjustment file through modeling. Conduct all procedures and cleaning in R, recognizing the time-intensive nature of replicating processes. Qualifications Education: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, or related field. Competencies Desired Proven experience as a Data Scientist, preferably in Campaign Effectiveness or Market Research domain. Expertise in causal inference, machine learning, and SQL. Proficiency in advanced R program for modeling and analytics. Experience with SPSS for data exploration. Strong understanding of data governance and database management. Qualification : Bachelors or advanced degree in Data Science, Statistics, Computer Science, or related field.

Position: Assistant Manager Product Strategy Employment Type: Full-Time Department: Product Strategy Team Location: Mumbai About TimesPro TimesPro, an award-winning Higher EdTech initiative of the Times of India Group, is committed to delivering Education 4.0 learner-centric, industry-relevant, role-specific, and technology-enabled learning. Founded in 2013, TimesPro serves aspiring professionals across industries and age groups through: Early Career Programs in BFSI, e-commerce, and technology Executive Education in partnership with top Indian and global institutions Enterprise Solutions for organizational learning and development Role Overview We are looking for a highly motivated and analytical Assistant Manager Product Strategy to join our growing Product Strategy team. This role is ideal for someone with a strategic mindset, a data-driven approach, and hands-on experience managing digital products throughout their lifecycle. You ll work closely with a high-caliber team of professionals from IIT, IIM, LSE, and top-tier MNCs. This is a great opportunity to contribute meaningfully to product development, learn continuously, and grow with an innovative EdTech organization. Key Responsibilities Customer & Market Insight: Identify customer needs and market trends to generate product ideas that increase market share and enhance user experience. Research & Analysis: Conduct market, customer, and competitive research to gather insights for strategic decision-making. Product Lifecycle Management: Lead product planning, positioning, development, launch, and review ensuring alignment with business goals. Cross-functional Collaboration: Work with engineering, content, operations, marketing, and sales teams to bring products to life and ensure continuous improvement. Strategic Documentation: Maintain comprehensive documentation including business cases, use cases, learner feedback, and audit findings. Competitive Benchmarking: Analyze competitor offerings and identify differentiation opportunities to inform product enhancements. Trend Forecasting: Monitor emerging trends to inform long-term product strategy. Team Management: Build and lead a small, efficient team to support product strategy and execution. Skills & Abilities: Proven experience managing B2C digital products. Strong understanding of the full product lifecycle. Proficiency in product and project management tools. Analytical mindset with excellent problem-solving skills. Comfortable with both strategic thinking and hands-on execution. Strong collaboration skills in a matrix environment. Excellent verbal and written communication skills. Highly proficient in Excel and AI tools. Education & Experience: Bachelor's or Master s degree in Computer Science, Engineering, Business, or a related field (Premier institute preferred). Minimum 5 years of experience in Product Management or Strategy. Experience in EdTech is a strong plus. Reporting To: Product Manager Product Strategy Qualification : Bachelor's or Masters degree in Computer Science, Engineering, Business, or a related field (Premier institute preferred)

Position: Deputy Manager Business Planning Employment Type: Full-Time Department: Finance Team Location: Mumbai About TimesPro TimesPro, the award-winning Higher EdTech initiative from the Times of India Group, is committed to revolutionizing professional education in India. Established in 2013, we deliver Education 4.0 an approach that is learner-centric, industry-relevant, role-specific, and technology-enabled. We offer a broad range of programs: Early Career Programs in BFSI, e-commerce, and technology Executive Education in collaboration with top national and global institutions Enterprise Learning Solutions for organizational development Role Overview We are seeking a detail-oriented and analytical Deputy Manager Business Planning to join our Finance team. This role plays a critical part in financial planning, performance analysis, cost management, and supporting strategic decision-making. You will work closely with cross-functional teams to drive financial insight and business alignment. Key Responsibilities MIS Reporting Prepare and present monthly, quarterly, and annual MIS reports, dashboards, and KPIs Deliver actionable insights and financial commentary Ensure timely and accurate reporting to stakeholders Financial Modeling & Business Case Analysis Build robust financial models for new business lines and long-range planning Conduct feasibility studies, ROI evaluations, and scenario planning Partner with business teams to assess commercial viability Cost & Responsibility Accounting Implement and maintain cost tracking systems Analyze cost structures by product, service line, and function Drive responsibility accounting to evaluate departmental efficiency Variance Analysis Analyze monthly actuals vs. budget/forecast Investigate deviations and recommend corrective measures Cash Flow & Fund Flow Management Monitor daily cash positions and forecast fund requirements Coordinate with treasury to optimize working capital and liquidity Budgeting & Business Planning Lead annual budget preparation and quarterly forecasting Align planning with organizational goals and market conditions Drive long-term financial and strategic planning initiatives Competitive & Market Intelligence Analyze competitor P&Ls and benchmark financial performance Provide insights on market trends to support strategic decisions Benchmarking & Best Practices Compare internal performance against industry benchmarks Recommend improvements to financial planning and analysis processes Key Requirements Skills & Tools Strong analytical and problem-solving capabilities Advanced Excel and financial modeling skills Proficiency in data visualization tools (e.g., Power BI, Tableau) Knowledge of SAP and financial accounting standards Excellent communication and stakeholder engagement skills Qualifications CA / CMA / MBA (Finance) or equivalent 2 5 years of experience in FP&A, business planning, cost accounting, or related functions This role offers an excellent opportunity to contribute to the financial backbone of a fast-growing EdTech organization, with exposure to strategic planning and cross-functional collaboration. Qualification : CA / CMA / MBA (Finance) or equivalent

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute