Statistical Analysis Jobs in Ahmedabad

Tech Lead Embedded Software/Firmware Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are looking for a skilled Tech Lead Embedded Software/Firmware to lead our growing embedded systems team focused on delivering robust solutions for industrial applications, with opportunities to work on avionics and high-end consumer electronics. The ideal candidate is hands-on, technically strong, and adept at mentoring engineers while driving the delivery of production-quality embedded software. Key Responsibilities Define software architecture and guide design decisions for embedded products across industrial and consumer domains. Lead development of embedded firmware for microcontrollers, SoCs, and FPGAs using C/C++ and assembly language. Drive Board Support Package (BSP) development including bootloaders, device drivers, and OS bring-up (Linux, RTOS). Collaborate with hardware teams on board bring-up, hardware validation, and early prototyping. Architect and implement firmware for interfaces such as UART, SPI, I2C, CAN, USB, Ethernet, GPIO, and memory controllers. Integrate RTOS or embedded Linux based on project needs, including kernel customization and peripheral support. Establish and enforce coding standards, conduct code reviews, and promote embedded software best practices. Maintain embedded development environments, toolchains, and build systems (e.g., Make, CMake, Yocto). Manage the entire software lifecycle from requirements gathering through testing, validation, and release. Coordinate with cross-functional teams including hardware, QA, and manufacturing for seamless product delivery. Mentor and provide technical training to junior and mid-level engineers. Lead root cause analysis and debugging for complex system-level hardware/software issues. Ensure compliance with industry standards and safety frameworks (e.g., MISRA, ISO 26262, IEC 61508). Work closely with project and program managers on timelines, resource allocation, and risk management. Required Qualifications Bachelor s or Master s degree in Electronics, Electrical, or Computer Engineering. 10+ years of embedded firmware/software development experience, including 2+ years in a leadership role. Expertise in embedded C/C++, real-time operating systems, and microcontroller/System on Module platforms. Experience with firmware bring-up, bootloaders, RTOS (FreeRTOS, ThreadX, etc.), and communication protocol stacks. Familiarity with version control systems (Git, SVN) and CI/CD pipeline implementation. Strong knowledge of industrial communication protocols, safety-critical systems, and hardware interfacing. Exposure to compliance frameworks such as DO-178, MISRA, or ISO 26262 is a plus. Preferred Qualifications Experience in avionics or consumer electronics firmware development. Proficiency in scripting languages and Python-based test automation. Knowledge of embedded Linux and FPGA interfacing or signal processing. Benefits Opportunity to work on cutting-edge projects across industrial, avionics, and emerging technology sectors. Lead and grow a high-performing embedded software team with career advancement prospects. Competitive salary and a dynamic, collaborative work environment. Qualification : Bachelors or Masters degree in Electronics, Electrical, or Computer Engineering

Job Title: Finance & Accounts CA / Inter CA Location: Ahmedabad Experience: 2 4 Years Remuneration: Best in Industry Job Summary: We are looking for a dynamic and detail-oriented Chartered Accountant (CA) or Inter CA professional with 2 4 years of relevant experience to join our Finance & Accounts team. The ideal candidate will handle core finance operations, statutory compliance, financial reporting, and support in strategic financial planning. Key Responsibilities: Manage TDS, Income Tax, and other direct tax compliance Prepare and finalize annual accounts in accordance with applicable standards Support internal and statutory audits, ensuring all required documentation and reconciliations are completed Ensure full statutory compliance with all financial regulations Monitor and manage cash flow planning and forecasting Prepare and analyze monthly financial statements Conduct in-depth financial analysis to support decision-making Ensure compliance with applicable accounting standards and corporate finance policies Candidate Requirements: Qualified CA or Inter CA 2 3 years of post-qualification experience Strong understanding of accounting standards, statutory regulations, and corporate finance functions Prior experience in hardcore finance roles (corporate finance, accounting, or financial analysis) Proficient in financial reporting tools and MS Excel Excellent communication and presentation skills If you're looking to build a rewarding career in a challenging finance role and contribute to strategic financial operations, we invite you to apply. Qualification : Qualified CA or Inter CA

Position: Regional Manager Sales Level: Senior Manager Experience Required: 12 18 Years Location: Ahmedabad Qualification: B.E. / B.Tech Mechanical Key Responsibilities Strategic Planning & Execution Develop and execute regional sales strategies aligned with corporate goals. Identify and capitalize on growth opportunities within the assigned region. Team Leadership Lead and mentor the regional sales team, ensuring alignment with business objectives. Drive team performance through regular reviews, KPIs, and motivational leadership. Revenue, Receivables & Channel Management Drive revenue targets and ensure timely collection of receivables. Expand and manage channel partner network for deeper market penetration. Client Relationship Management Build strong, long-term relationships with key clients and decision-makers. Ensure customer satisfaction through consistent engagement and issue resolution. Market Analysis & Penetration Conduct regular market intelligence to stay ahead of industry trends and competition. Identify new segments, applications, and regions for business expansion. After-Sales Service & Parts Management Oversee after-sales service support and ensure efficient parts management. Work closely with service teams to maintain high customer satisfaction post-sale. Additional Requirements Proven experience in Sales & Marketing within an OEM (Original Equipment Manufacturer) environment. Strong analytical and decision-making skills. Excellent communication, negotiation, and stakeholder management abilities. Ideal Candidate An engineering professional with a mechanical background and a proven sales leadership track record in the OEM space. You are strategic, data-driven, customer-focused, and capable of leading high-performing teams in a competitive market. Qualification : B.E. / B.Tech Mechanical

Position: DGM / AGM Senior Analyst CEO Office Location: Ahmedabad Department: CEO Office / Strategy & Planning Experience Required: 12 14 Years Industry Preference: Real Estate or Infrastructure Role Overview: We are seeking a dynamic and highly analytical Senior Analyst (DGM/AGM Level) to join the CEO Office. This role will support high-impact decision-making through data-driven insights, financial modelling, and strategic planning. The ideal candidate will bring a strong background in business analytics, financial acumen, and stakeholder coordination, preferably with prior experience in real estate or infrastructure sectors. Key Responsibilities: Strategic Analysis & Business Planning Build and analyse comprehensive business and financial models to support investment decisions and long-term strategic planning. Provide actionable insights through post-project financial analysis, including cost optimization, revenue tracking, and ROI assessments. Track and report on key business metrics and performance indicators. Market Intelligence & Industry Research Stay updated with real estate industry trends, regulatory developments, and competitor analysis. Conduct research and gather relevant market intelligence to support executive decision-making. CEO Office Operations & Stakeholder Coordination Schedule and organize high-level meetings; prepare Minutes of Meeting (MoMs) and ensure timely follow-up on action items. Collaborate with internal departments and senior leadership to maintain task alignment using tools such as Microsoft Planner and MIS trackers. NFA (Note for Approval) Management Handle NFA approvals, including pre-assessment of financial and qualitative aspects of proposals. Ensure all proposals meet internal compliance and financial benchmarks before submission. MIS & Reporting Work closely with the CEO to create, manage, and monitor department-level MIS trackers. Conduct regular analysis to identify discrepancies or areas of concern, ensuring accurate and timely reporting. Qualifications: Education: Mandatory: BE/B.Tech in Civil or Mechanical Engineering from Premier Institutes Preferred: MBA in Finance or Strategy Certifications: Relevant certifications in financial modelling, business analytics, or project management are a plus. Required Skills: Technical Skills: Advanced proficiency in MS Excel, Microsoft Planner, PowerPoint, and other relevant analytical tools. Strong financial and business acumen with the ability to build and evaluate complex financial models. Knowledge of Standard Operating Procedures (SOPs) in the real estate or infrastructure domain. Behavioural Skills: Excellent written and verbal communication. Strong interpersonal and stakeholder management skills. High attention to detail, with a focus on accuracy and quality. Proactive problem-solver with a structured and analytical mindset. Why Join Us: This is an exciting opportunity to be part of a strategic team at Adani, working directly with the CEO on high-impact projects like Airport City-Side Development. You ll have the platform to shape critical decisions, influence operations at the highest levels, and grow in a fast-paced, dynamic environment. Qualification : BE/B.Tech in Civil or Mechanical Engineering from Premier Institutes

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

AI Developer Key Responsibilities: AI Development & Integration: Develop and enhance AI-driven solutions using platforms such as Claude.ai, Perplexity.ai, and other Anthropics-powered tools. Integrate AI features into EdTech platforms, supporting personalized learning, adaptive content, and intelligent tutoring systems. EdTech Solutions Development: Design AI applications tailored for the education sector, including virtual tutors, automated assessments, and recommendation engines. Collaborate with educators and curriculum designers to align AI functionalities with educational objectives. Model Training & Fine-Tuning: Train and fine-tune large language models (LLMs) to ensure they meet the specific needs of the education sector. Apply transfer learning to adapt general-purpose models for educational applications. AI Tool Utilization: Utilize Claude.ai, Perplexity.ai, and other emerging Anthropics technologies to develop interactive learning solutions and data-driven insights. Experiment with new AI features to continuously enhance platform capabilities. Research & Innovation: Stay updated on AI and EdTech trends to implement cutting-edge solutions. Conduct research to identify how advanced AI tools can address educational challenges and improve learning outcomes. Collaboration & Stakeholder Engagement: Work closely with product managers, UX designers, and other development teams to deliver AI-powered features for EdTech platforms. Communicate complex AI concepts to both technical and non-technical stakeholders in a clear and concise manner. Requirements: Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus. Technical Skills: Extensive experience with Claude.ai, Perplexity.ai, and other Anthropics systems. Strong proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, and Hugging Face. Solid understanding of natural language processing (NLP), transformer-based models, and large language models (LLMs). Experience with API integrations and deploying AI/ML models in production environments. EdTech Experience: Proven track record of developing AI solutions for educational platforms. Familiarity with challenges in EdTech, including data privacy (e.g., FERPA, GDPR), accessibility, and scalability. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to explain AI concepts to both technical and non-technical audiences. Collaborative mindset with a passion for leveraging AI to improve education. Preferred Experience: Experience with adaptive learning systems, gamification, or AI-powered chatbots in education. Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience working on projects that involve real-time AI integrations. Qualification : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Position: AI/ML Python Developer Job Overview: We are seeking an experienced AI/ML Python Developer to join our dynamic team. In this role, you will leverage cutting-edge technologies to build and deploy machine learning models, contribute to innovative projects, and work with large language models (LLMs) and retrieval-augmented generation (RAG) systems. Key Responsibilities: Develop and optimize machine learning models using Python, ensuring high performance and accuracy. Utilize frameworks like TensorFlow and PyTorch for model training, evaluation, and deployment. Process and analyze data using tools such as scikit-learn, NumPy, and pandas to build robust data pipelines. Implement natural language processing techniques, including text preprocessing, tokenization, and embeddings. Work with large language models such as GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Build and manage RAG pipelines with vector databases such as FAISS, Pinecone, or Chroma. Develop multi-agent systems using frameworks like LangChain, LangGraph, or CrewAI. Design and implement APIs for seamless model deployment using FastAPI, Flask, or Django. Collaborate effectively using Git/GitHub for version control and to ensure efficient team workflows. Contribute to the development, training, and deployment of models using Hugging Face tools. Work with both SQL and NoSQL databases to handle and preprocess large datasets. Required Skills & Experience: Proficiency in Python, especially for AI/ML model development. Experience with machine learning and deep learning frameworks, particularly TensorFlow and PyTorch. Strong understanding of data science concepts and tools like scikit-learn, NumPy, and pandas. Expertise in Natural Language Processing (NLP) techniques, including text preprocessing and embeddings. Familiarity with transformer models such as GPT, BERT, T5, and LLaMA, along with fine-tuning and prompt engineering. Experience with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Chroma. Knowledge of multi-agent systems and frameworks such as LangChain, LangGraph, or CrewAI. Strong skills in API development using FastAPI, Flask, or Django. Solid understanding of version control using Git/GitHub. Hands-on experience with Hugging Face for model training and deployment. Location: Ahmedabad, Gujarat, India (Ognaj, eInfochips) Employment Type: Full-time Job Category: Engineering Services

Job Title: AI/ML Developer Experience: 2-3 Years Positions Available: 02 Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Key Responsibilities: Develop and deploy AI/ML solutions, leveraging expertise in machine learning, deep learning, and generative AI. Design, implement, and optimize models using popular libraries like TensorFlow, PyTorch, scikit-learn, and others. Apply deep learning, computer vision, NLP, and reinforcement learning techniques to real-world problems. Work with Large Language Models (LLMs), including training custom models and integrating third-party LLM APIs like OpenAI. Conduct data preprocessing, feature engineering, exploratory data analysis (EDA), and model tuning to ensure high-quality results. Analyze complex data sets, create visualizations, and leverage statistical techniques to guide decision-making. Collaborate effectively with cross-functional teams and stakeholders to ensure successful project delivery. Continuously stay up-to-date with emerging technologies, implementing them to enhance products and services. Contribute to an Agile development environment with familiarity in DevOps practices for CI/CD. Skills & Qualifications: Experience: At least 2 years of hands-on experience in AI/ML development with a proven track record of successful project delivery. Technical Skills: Proficiency in Python, C++, R, or Scala. Strong foundation in machine learning and deep learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, OpenCV, and others. Experience in working with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiar with API frameworks like Django, Flask, and FastAPI (a plus). Key Areas of Expertise: Data preprocessing, feature engineering, model evaluation, and optimization. Experience with LLMs and integrations with third-party APIs like OpenAI. Ability to work with cloud platforms and ML Ops is a plus. Personal Attributes: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Proactive, self-motivated, and eager to learn new technologies. Comfortable working both independently and as part of a team. Additional Pluses: Familiarity with Agile methodologies and DevOps practices. Knowledge in data visualization tools and techniques is an advantage. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Technical Skills: Strong experience in Python, R, or Scala for data analysis and modeling. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong command on NLP domain models. Hands-on expertise with time-series forecasting techniques (e.g., ARIMA, LSTM, GRU), building CICD pipeline and model monitoring system. Experience working with large datasets and distributed computing tools (Hadoop, Spark). Optimize and fine-tune models for performance, accuracy, and scalability. Experience in reinforcement learning or online learning techniques. Expertise in handling large-scale datasets, using tools like Pandas, NumPy, and SQL. Knowledge of cryptocurrency markets, blockchain, and financial modeling. Proficiency in cloud platforms like AWS, GCP, or Azure for deploying machine learning models.

Digital Marketing Job Requirements and Responsibilities: Plans and executes all web, SEO/SEM, email, social media. Designs, builds, and maintains our social media presence. Measures and reports performance of all digital marketing campaigns and assesses against goals (ROI and KPIs). Identifies trends and insights and optimises spend and performance based on the insights. Brainstorms new and creative growth strategies through digital marketing. Plans, executes, and measures experiments and conversion tests. Collaborates with internal teams to create landing pages and optimize user experience. Utilizes strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points. Identifies critical conversion points and drop off points and optimizes user funnels. Evaluates emerging technologies. Provides thought leadership and perspective for adoption where appropriate. Knowledge of marketing tools Digital Marketing Qualifications / Skills: Creating and maintaining client relationships Self-motivated yet customer-focused Proficient in marketing research and statistical analysis Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform, and motivate Education, Experience, and Licensing Requirements: Bachelor s or master s degree in marketing, BE, MCA or a related field Proven working experience in digital marketing, particularly within the industry Demonstrable experience leading and managing SEO/SEM, marketing database, email, social media and/or display advertising campaigns Experience in optimizing landing pages and user funnels Experience with A/B and multivariate experiments Solid knowledge of website and marketing analytics tools (e.g., Google Analytics, NetInsight, Omniture, WebTrends, SEMRush, etc.) Working knowledge of ad serving tools Experience in setting up and optimising PPC campaigns on all major search engines Working knowledge of HTML, CSS, and JavaScript development and constraints Qualification : Bachelors or masters degree in marketing, BE, MCA or a related field

Job Title: Data Mining Executive Job Summary We are seeking a highly analytical Data Mining Executive to join our team. The ideal candidate will be responsible for gathering, analyzing, and extracting valuable insights from various datasets to support business decision-making. This role involves using advanced data mining techniques, conducting secondary research, and leveraging tools such as LinkedIn Sales Navigator to drive business opportunities. You will work closely with clients and internal teams to ensure accurate and actionable data is provided. Key Responsibilities Data Mining: Gather and analyze large datasets to extract meaningful insights and patterns to inform business strategies. Secondary Research: Conduct thorough secondary research to gather relevant data, industry trends, and competitor analysis to drive business decisions. Client Communication: Communicate effectively with clients to understand their data requirements and provide them with valuable insights and reports. Spreadsheet Management: Maintain and update spreadsheets to organize data, track project progress, and monitor deadlines. Outreach: Use LinkedIn Sales Navigator and other tools to support business outreach, gather client-specific data, and assist in client acquisition. Reporting and Analysis: Prepare detailed reports based on data mining and analysis to present findings to clients or senior management. Skills Required Data Mining: Experience in extracting and analyzing large sets of structured and unstructured data. Secondary Research: Strong research skills to gather relevant data from various sources. LinkedIn Sales Navigator: Proficiency in using LinkedIn Sales Navigator for client outreach and data collection. Spreadsheet Management: Expertise in managing and analyzing data using Excel or Google Sheets. Market Research: Ability to analyze market trends and competitor data to support business goals. Qualifications Any Graduate (Preferably in Business, Marketing, or related fields). Qualification : Any Graduate (Preferably in Computer Science or related field).

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

Job Title: Data Scientist Experience: 4+ Years Educational Qualification: B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university Role Description We are seeking a skilled Data Scientist to join our team. The ideal candidate will identify valuable data sources, automate data collection processes, and analyze large datasets to uncover trends and patterns. This role involves building predictive models and machine-learning algorithms, collaborating with cross-functional teams, and proposing data-driven solutions to business challenges. Key Responsibilities Identify, collect, and automate data acquisition from valuable sources. Pre-process structured and unstructured data for analysis. Analyze large datasets to discover patterns and trends. Develop and implement predictive models and machine-learning algorithms. Combine multiple models using ensemble modeling techniques. Visualize data and present findings through dashboards and reports. Propose innovative solutions and strategies to address business challenges. Collaborate with engineering and product development teams for seamless integration of data solutions. Required Skills & Experience 4+ years of experience as a Data Scientist or Data Analyst with hands-on data mining experience. Proficiency in business intelligence tools (e.g., Power BI) and data frameworks (e.g., Hadoop). Experience querying databases and using statistical programming languages: Python, SQL, etc.; familiarity with Scala, Java, or C++ is a plus. Strong understanding of statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Tree-based models, and text mining. Expertise in advanced machine learning algorithms: regression, clustering, simulation, scenario analysis, decision trees, neural networks, etc. Solid foundation in machine learning, operations research, and advanced statistical methods. Strong analytical mindset with business acumen and problem-solving capabilities. Excellent project management and organizational skills. Nice-to-Have Skills Strong math skills (e.g., statistics, algebra). Experience working in dynamic, cross-functional environments with diverse teams. Ability to work with data and analytics experts to enhance the functionality of data systems. Qualification : B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university

About the Team: The Transactions Division at S&P Global Market Intelligence focuses on publishing data related to Mergers & Acquisitions (M&A) and Capital Markets. The team is responsible for collecting, validating, and analyzing corporate transaction data using various sources, such as search tools, press releases, company websites, stock exchange platforms, and regulatory filings. This data is curated and provided to clients in the form of a comprehensive, accurate, and timely product. The Impact: This role plays a crucial part in shaping the Transactions Dataset. As an analyst, you will be involved in collecting and validating data while working closely with peers and stakeholders on process improvements. This position offers an excellent opportunity to gain hands-on experience in the M&A, Private Offerings (PO), and Public Placements (PP) domains. You will deepen your understanding of financial reporting standards, corporate actions, and apply this knowledge in a practical setting. What s in it for You: You will be primarily responsible for the daily collection and validation of transactional data. As you develop a strong understanding of the dataset and become proficient in workflows, you will also have the opportunity to mentor new talent, helping them build their skill set. Additionally, you will be involved in process improvement initiatives, including LEAN and automation projects, that support various S&P Global Market Intelligence products. Key Responsibilities: Data Collection & Validation: Accurately extract, analyze, and input data into work tools according to specified guidelines. Ensure the integrity and quality of the collected data. Data Sources & Research: Utilize search tools, press releases, company websites, regulatory filings, and trade documents to extract and verify transaction data. Dataset Understanding: Develop a deep understanding of the dataset and workflows, becoming proficient in using the work tools and ensuring timely data delivery. Target Achievement: Meet individual and team targets while maintaining a focus on delivering high-quality, error-free results. Process Improvement & Innovation: Provide input for new data collection methods and suggest product enhancements related to the dataset. Project Management: Participate in projects as assigned, ensuring they are completed within the specified timelines while maintaining the required quality standards. Problem Resolution: Troubleshoot issues and provide support to the team to resolve any operational challenges. Basic Qualifications: Educational Background: MBA/BBA (preferably in finance), M.Com, or ACCA. Experience: Previous experience in financial research, data analytics, or quality assurance is preferred. Skills: Strong research and analytical skills. Proficiency in clear and effective communication. Basic knowledge of SQL and VBA is preferred. Ability to manage multiple tasks and priorities simultaneously. Strong teamwork and collaboration skills, with the ability to communicate effectively with global stakeholders. Willingness to work in rotational shifts (Morning, Evening, and Night). About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we provide accurate, deep, and insightful information that empowers our clients to make confident decisions. Our team of experts delivers cutting-edge data and technology solutions, helping organizations expand their perspective, operate with confidence, and make informed decisions. Qualification : MBA/BBA (preferably in finance), M.Com, or ACCA.

Key Responsibilities: Manufacturing Process Knowledge: Understand and optimize manufacturing processes including drawing, trimming, punching, rolling, bending, welding (Mig/Tig/Laser), and brazing. Analyze and improve process controls for efficiency and quality. Die Designing and Simulations: Apply basic knowledge of die designing and simulations to enhance production efficiency. Estimation and Inputs to Techno-Commercial Team: Estimate cycle times, lead times, and resource requirements (equipment, tools, manpower). Provide insights to the techno-commercial team for cost planning and resource allocation. Component and Vendor Development: Contribute to the development of new components and vendor partnerships, ensuring timely and cost-effective product delivery. Quality Planning Tools: Utilize quality planning tools such as APQP, DFMEA, PFMEA, DRBFM, PRBFM, DFA/DFM, and Control Plans for process improvements. Error Proofing and Digital Tools: Implement error-proofing methods and use digital tools (e.g., MES and IoT) to monitor and enhance production quality. Quality Systems and Sourcing: Establish quality systems for part sourcing, such as Pre-Control Plans and PPAP (Production Part Approval Process). Statistical Tools: Employ statistical tools like SPC or Six Sigma methodologies for process improvement and maintaining quality standards. Productivity and Capacity Improvement: Develop strategies to improve productivity and capacity at vendor locations to meet business demands. Value Engineering: Propose value engineering ideas to enhance yields and reduce costs in the manufacturing process. Personal Attributes: Be ambitious, energetic, and self-motivated with a strong team-oriented mindset. Effectively manage multiple projects and collaborate with diverse clients and stakeholders. Team Building and Conflict Resolution: Possess strong team-building, conflict management, and negotiation skills. Communicate effectively in both written and oral forms. Knowledge of Standards and Statutory Norms: Familiarity with both Indian and international manufacturing standards and local statutory norms. Understanding Cross-Functional Roles: Collaborate with other functions throughout the project lifecycle, integrating their expertise for smooth operations. Vendor Guidance: Guide vendors in implementing best practices to improve processes and ensure product quality. Qualifications: Educational Requirements: B. Tech or M. Tech in Mechanical Engineering or Production Engineering. Qualification : B. Tech or M. Tech in Mechanical Engineering or Production Engineering.

Data Miner Job Location : Ahmedabad, Gujarat Experience : 1 to 2 Years Roles and responsibilities : Key Responsibilities: Gather, clean, and preprocess data from various sources, including databases, CRM systems, and online platforms. Utilize data mining techniques to identify and qualify potential leads. Develop targeted lead lists based on demographic, firmographic, and behavioral data. Analyze market trends, customer behavior, and competitive landscape to uncover actionable insights and identify new lead opportunities. Create detailed reports and dashboards to present lead generation metrics, trends, and performance to stakeholders. Work closely with sales and marketing teams to align lead generation efforts with business objectives and campaigns. Apply your knowledge of data practices and market trends specific to the US, UK, and Europe to optimize lead generation strategies. Use data mining tools and software to perform data extraction, analysis, and lead qualification. Stay updated with industry trends, emerging tools, and best practices in data mining and lead generation to enhance processes and outcomes. Qualifications: 1-2 years of experience in data mining, lead generation, or a related field. Proficiency in data mining tools. Demonstrated ability to generate and qualify leads using data-driven methods. Strong analytical and problem-solving skills with attention to detail in data analysis and lead generation. Excellent written and verbal communication skills, with the ability to present data insights and lead generation results clearly and effectively. Bachelor s degree in Data Science, Marketing, Business Analytics, or a related field. Perks and Benefits: Healthy & Flexible Work Environment All Saturdays Off (5 Days Working) Performance based Incentive & employee friendly policies Attractive Awards, Festival Celebrations, Picnic, Birthday Celebrations etc. Unlimited opportunity to grow. Qualification : Bachelors degree in Data Science, Marketing, Business Analytics, or a related field.

Description This role involves inspecting, cleaning, transforming, and modeling data to support decision-making. This field demands attention to detail, patience, and a dedication to learning as you identify trends, create and manage reports. As a data professional, you will need to be good at mining business data from disparate sources and collating it for analysis. There will also be an emphasis on understanding your own company and the industry at large quickly. Analyzing aims to extract actionable insights from raw data that can influence strategies and operations. Responsibilities Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems. Detect, examine, and decode trends or patterns within intricate datasets. Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors. Coordinate with management to align business and informational priorities. Identify opportunities for process enhancements. Employ statistical techniques to scrutinize data and produce actionable business insights. Collaborate with the management team to determine and rank the needs of different business units. Convey insights through both reports and visual presentations. Partner with engineering and product development teams to understand business requirements. Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes. Requirements 2-6 years of experience. B.E/B.Tech(computers), B.Sc CS/IT, BBA, MBA in project management, M.Sc CS/IT, M.E/M.Tech is required. Must have strong communication, presentation, interpersonal skills, and vendor management. PMP certification and Project management certifications are plus. Must have great leadership skills Adapt at project and change management Must possess good financial acumen Must have good interpersonal skills Qualification : 2-6 years of experience. B.E/B.Tech(computers), B.Sc CS/IT, BBA, MBA in project management, M.Sc CS/IT, M.E/M.Tech is required.

Description The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. The Technical Lead will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data Implement and execute model evaluation experiments to test and pick the best model for a certain task Build high throughput and automated data pipelines to allow Data analysis and model training Lead feature engineering to select the most relevant features in datasets to train models on Pick the right set of evaluation metric to test model candidates for deployment Use MLOps principles to allow continuous model tuning and performance improvements 2. AI/ML Model Deployment: Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise: Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design: Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development: Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must Worked on pre-processing pipelines ensuring security compliances standards are met Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.