9039 Machine Learning Jobs - Page 26

Brainwonders is seeking a dynamic and forward-thinking AI Educator to design and deliver engaging learning experiences focused on Artificial Intelligence and its real-world applications. As an AI Educator, you will be responsible for educating students, teachers, and stakeholders on AI fundamentals, ethical implications, and how AI can be used in education and career development. This role is perfect for someone passionate about simplifying complex technology and inspiring the next generation of learners to embrace AI responsibly and creatively. Key Responsibilities: - Design and deliver interactive workshops, webinars, and training sessions on AI concepts (e.g., machine learning, NLP, computer vision) tailored for students, educators, and career counsellors - Develop an age-appropriate AI curriculum, modules, and project-based learning resources - Translate complex AI topics into understandable content for non-technical audiences - Promote AI literacy and awareness across educational institutions - Collaborate with curriculum designers, psychologists, and technical teams to integrate AI into Brainwonders educational offerings - Stay updated with the latest AI trends and tools to keep content fresh and relevant - Assist in building partnerships with schools, colleges, and training institutes for AI education initiatives Qualifications & Skills: - Bachelors or Master s degree in Computer Science, Artificial Intelligence, Data Science, Education Technology, or a related field - Strong understanding of AI/ML fundamentals and their applications - Prior experience in teaching, training, or curriculum development is preferred - Excellent communication, presentation, and facilitation skills - Passionate about education, technology, and ethical AI use - Familiarity with tools like Python, Scratch (for kids), or AI platforms (e.g., Teachable Machine, MIT App Inventor) is a plus Perks: - Work on pioneering AI-education initiatives - Collaborate with a multidisciplinary team of psychologists, technologists, and educators - Opportunities for growth in EdTech and AI curriculum leadership

Experience Level: 5 8 yrs Location: Mumbai/ Bangalore Functional / Technical Skills Big data development experience Kafka, Hadoop Experience building data pipelines using Spark and/or Hive Strong knowledge in R/Python/Rubys Advanced proficiency in Java/Scala, SQL, NoSQL strong in Database and Data Warehousing concepts Expertise in SQL, SQL tuning, schema design, Python and ETL processes Experience with Cloud Technologies ( GCP, AWS) Highly Motivated, Self-starter and quick learner Proficiency in Statistical procedures, Experiments and Machine Learning techniques Must have knowledge on basics of data analytics and data modelling Excellent written and verbal communication skills Roles/Responsibilities Active involvement in building of recommendation engine Design new processes and builds large, complex data sets Conducts statistical modeling and experiment design Tests and validates predictive models Build web prototypes and performs data visualization Generate algorithms and create computer models Should possess excellent analytical skills and troubleshooting ideas Should be aware for Agile Mode of operations and should have been part of scrum teams Should be open to work in Devops model with responsibilities of Dev and Support both as application goes live Should be able to work in shifts (if required) Should be open to work in fast paced, project with multiple stakeholders

Principal Data Engineer full-time remote from anywhere in India #LI-Remote Description: The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions: Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Maintain compliance with data privacy regulations such as HIPAA, GDP May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities: Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication and collaboration skills. Experience working in an Agile development environment. Minimum Requirements: Bachelor s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master s Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data

Data Pipeline Development : Design, develop, and optimize data pipelines to ingest, process, and transform data from various sources (e.g., APIs, databases, into the data warehouse. Data Integration: Integrate data from various structured and unstructured sources into the Databricks Lakehouse environment, ensuring data accuracy and reliability Data Lakehouse & storage Management: Design and maintain data warehouse solutions using medallion architecture practices, optimizing storage, cloud utilization, costs and query performance Collaboration with Data Teams : Work closely with data scientists, analysts, to understand requirements, translate them into technical solutions, and implement data solutions. Data Quality and Monitoring : Cleanse, transform, and enrich data. Implement data quality checks and establish monitoring processes to ensure data integrity and accuracy. Implement monitoring for data pipelines and troubleshoot any issues or failures promptly to ensure data reliability. Optimization and Performance Tuning: Optimize data processing workflows for performance, reliability, and scalability, including tuning spark jobs, caching, and partitioning data appropriately. Data Security and Privacy : Manage and organize data lakes using Unity catalog, ensuring proper governance, security, role-based access and compliance with data management policies. Key Skills: Technical Skills: Proficiency with Databricks Lakehouse platform, Delta Lake, Genie, ML Flow (e.g., Databricks Certified Data Engineer Associate) is a plus. SQL and NoSQL: Experienced working with both SQL and NoSQL data sources (e.g., MySQL, PostgreSQL, MongoDB etc.) Strong knowledge of Spark, especially in PySpark or Scala, for data transformation. Proficiency in Python, R and other programming languages used in data processing. Experience with cloud platforms like Azure, AWS, particularly Azure storage & services Knowledge of ML Pipelines, data streaming platforms (e.g., Apache Kafka, AWS Kinesis). Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) Educational Qualification: Education: Bachelor s degree in Computer Science, Engineering/MCA, or a related field (Master s preferred) 3+ years of experience as a Data Engineer, with hands-on experience in Databricks Experience: Seeking a skilled Data Engineer with expertise in Databricks on Azure (ADF, ADLS) to join our data team. As a Data Engineer, you will work with both structured and unstructured data. You will be responsible for designing, building, and maintaining scalable and reliable data pipelines that support business intelligence, data analytics, and machine learning efforts. You will collaborate closely with data scientists, analysts, and cross-functional teams to ensure data is available, accurate, and optimized for processing and storage. What s in it for you Be an equal parent Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return Paternity support, including paid leave New mothers can bring a caregiver and children under a year old, on work travel Adoption support; gender neutral and based on the primary caregiver, with paid leave options No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Gender transition support We are selfish about your wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Uncapped sick leave Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Performance-based earning opportunities https: / / www.godrejcareers.com / benefits / An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you.

About Godrej Industries Group (GIG ) Godrej Industries Group (GIG), is a vibrant group of listed Godrej companies. It has a clear focus on Chemicals, FMCG, Real Estate, Agriculture and Financial Services, a set of diverse industries, most of which are defining new India s growth story. At GILAC we seek to achieve this growth through fostering an inspiring place to work, while inculcating shared value through a philosophy of Good & Green . As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : Deputy General Manager AI Lab Location : Mumbai, India Job Purpose As a Deputy General Manager (DGM) at the Godrej AI Lab, you will play a pivotal role in leading high-impact AI programs across group businesses. You will drive the development and deployment of advanced AI solutions, foster strong stakeholder partnerships, and manage a focused team of AI engineers and executives. This position demands a combination of strategic leadership, strong execution capabilities, and a sound understanding of AI technologies. You ll work closely with business teams, IT, and external partners to deliver outcomes that matter. Roles & Responsibilities: Lead the end-to-end lifecycle of AI initiatives from business problem framing to scaled deployment. Partner with business leaders to define priorities, scope solutions, and drive adoption. Manage and mentor a team of AI engineers and senior executives to ensure execution quality and timely delivery. Translate business challenges into technically feasible and measurable AI use cases. Guide solution design, vendor evaluations, and platform/tooling choices. Ensure integration and alignment across business, data, IT, and external stakeholders. Monitor project progress and impact metrics, proactively addressing risks or delays. Contribute to the broader AI maturity journey supporting enablement, communication, or upskilling efforts as needed. Stay informed on the evolving AI landscape to bring relevant innovations into the organization. Educational Qualification: Education: Bachelor s or Master s in Computer Science, Engineering, Data Science, or a related technical discipline. MBA or certifications in AI/Gen AI are a plus. Experience: 7+ years of experience in digital transformation, AI/ML, data science, or technology-led business roles. Strong Experience in AI and Gen AI Good track record of delivering complex, multi-stakeholder projects. Demonstrated ability to manage teams and influence cross-functional senior leaders. Experience working with external tech partners and system integrators Skills: Solid understanding of AI and machine learning concepts, platforms, and applications. Ability to translate business needs into technically sound solutions. Strong project and stakeholder management skills; proven ability to lead in a matrixed setup. Strategic and analytical mindset with a bias for execution. Excellent communication, facilitation, and relationship-building skills. Comfort with ambiguity and a proactive, problem-solving approach. An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you.

Website: Leading Global Technology Research & Advisory Firm | ISG (isg-one.com) Wanted: dynamic and creative individuals ready to connect with a like-minded team. You ll enjoy all the autonomy you need to help our clients make their digital infrastructure faster and more effective. Free reign for free spirits doesn t mean you ve got to go it alone. Over 1400 teammates from around the globe are eager to help you out when things get down to wire. Their expertise will put you on the winning path and keep you there. So, get ready to kickstart your career with a team that s connected - connected by freedom. Role Overview ISG Research is one of the fastest-growing segments within ISG. To enable future growth and scale, we re modernizing our research operations using AI and intelligent automation. We re looking for an experienced AI Developer who is passionate about transforming real-world business processes using emerging technology. This is a high-impact role where you ll work closely with professional researchers, cross-functional business leaders, and global technology stakeholders to shape the future of our research operations. You ll thrive here if you: Are a creative problem-solver who enjoys figuring things out independently Communicate clearly with both technical and non-technical collaborators Bring a positive, can-do attitude and a drive to make meaningful change Are excited to work across AI, Automation, and Microsoft platforms to build intelligent, scalable systems This role is based in Bangalore and will collaborate with colleagues across the US, Europe, and India . Key Responsibilities Design, develop, and implement AI-driven solutions to streamline and enhance research processes Leverage AI tools (ChatGPT Enterprise, and Microsoft CoPilot Enterprise) and Automation tools (e.g., Azure AI Services, Power Automate, Power Apps, Copilot Studio) to deliver intelligent workflows Build and integrate agentic tools and LLM-powered assistants to support business users Analyze current-state workflows and identify opportunities for automation or augmentation Integrate internal and third-party APIs to extend system capabilities Work with stakeholders to define requirements and translate them into working solutions Document technical designs, processes, and best practices Continuously learn and recommend new tools, approaches, and AI services Technical Skills Requirements Programming & Scripting Strong in Python (required) Familiarity with PowerShell , C# , or .NET is a plus (for MS ecosystem alignment) AI/ML Experience Experience working with Azure AI Services (e.g., Azure OpenAI, Azure Machine Learning, Cognitive Services) Familiarity with agent frameworks like LangChain , Semantic Kernel , or Microsoft Copilot Studio Solid understanding of Large Language Models (LLMs) and prompt engineering Ability to build and maintain custom GPT agents or copilots Automation & Integration Experience with Microsoft Power Platform , especially: Power Automate Power Apps Dataverse Integration experience using Microsoft Graph API , REST APIs , or Logic Apps Bonus: Experience with Microsoft Synapse , Azure Data Factory , or RPA tools (UiPath, Power Automate Desktop) Data & Cloud Good understanding of data structures , ETL , and API-based integration Hands-on experience with Azure , including deployment and monitoring of AI services Experience Level 5-10 years of experience in software development, with recent experience focused on AI/ML, automation, or Microsoft technologies Demonstrated ability to independently research and deliver working solutions in ambiguous problem spaces Prior experience modernizing legacy business or knowledge-based workflows is a plus Soft Skills and Traits Strong problem-solving skills and a growth mindset Excellent communication skills, both written and verbal Ability to collaborate across time zones with teams in the US and Europe Comfortable working with domain experts (e.g., researchers, consultants) Organized, curious, and eager to learn Education & Certifications Bachelor s degree in Computer Science, Engineering, Information Technology, or related field Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate Microsoft Power Platform Developer Associate (or equivalent experience) Work Setup Location : Bangalore, India Work Arrangement : Hybrid - required to work from the office 2-3 days per week Collaborates with teams in India , Europe , and the United States Why Join ISG Be part of a high-growth, high-impact transformation initiative Use cutting-edge tools across AI, automation, and Microsoft platforms Shape how a successful research business evolves for the next decade Collaborate with a global team of smart, experienced professionals Help define how real AI adoption happens inside the enterprise At ISG, we don t just accept difference we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients, and our communities. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. ISG is proud to be an equal opportunity workplace and we are committed to creating an inclusive environment for all employees. The more diverse and inclusive we are, the better our work will be. The duties and responsibilities described in this job description may not be a comprehensive list. Additional tasks may be assigned to the employee from time to time and/or the scope of the job may change as necessitated by business demands.

Senior Data Engineer - Palantir Foundry Build data & analytics products that shape and steer Swiss Re Group Digital and Transformation Swiss Re | Bengaluru | Hybrid (up to two remote days each week, your choice) About the Team InfoTech Data & Analytics is part of Group Data Services (Digital & Tech) and links almost 70 data sources to give Swiss Re clear, trusted insight for steering group operations. The team is composed of an international workforce based in Bengaluru, Zurich and Bratislava, serving a global consumer base. We work extensively with Palantir Foundry, Azure Synapse Analytics, and PySpark for large-scale data processing, building scalable and distributed analytics. We are an outcome-focused crew, enjoy tackling the toughest data engineering and analytics challenges and believe in learning, failing & growing together. We work close to our internal customers to drive the best business value and appreciate proactiveness and taking ownership. About the Role We design and build robust data pipelines, teaming up with data consumers and cross-functional squads on Azure Synapse and our strategic analytics powerhouse Palantir Foundry. Our data and analytics products range from simple ad-hoc datasets and all the way up to analytics applications handling complex topics such as people demand and planning, strategic workforce planning, IT cost and consumption and are used across Swiss Re. Key responsibilities Design and implement data pipelines in collaboration with our data users and other internal teams, including hands-on development and solutioning Ensure reliability , data quality and optimal performance of our data assets in Foundry (or Azure process flow) Transpose complex business requirements into high-quality data asset & capability delivery Deliver high-quality code using mainly PySpark / Python, also SQL and Typescript, focusing on simplicity , reusability , performance , and maintainability Optimize Spark jobs for efficiency and minimal cost Work with solution engineers, data scientists and product owners to deliver end-to-end data products Support emerging AI and ML capabilities About You 7+ years in data engineering, transformation & analysis with proficiency in programming & scripting languages Hands-on expertise with any of the Cloud platforms like Azure, or Palantir Foundry (any other cloud platform works, if you are interested in learning more!) Strong Python/ PySpark / Scala skills along with in-depth knowledge of SQL Working knowledge of Azure Synapse Analytics, Azure Data Lake and Azure SQL (or similar knowledge of data-oriented cloud services) Conceptual knowledge around system design, data structures, scalable storage solutions, security constraints and cloud infrastructure You have a knack for solving problems, clarity of thought process, and experience to be able to work around data transformation models and know what great assets, data can be! Nice to have Data visualization experience, or have built dashboards or apps on Workshop/ Power BI etc. TypeScript for Functions in Foundry or Slate front-end work Have a DevSecOps mindset, basic understanding of DevOps tools Work with Palantir AIP for Data science/ AI / ML Basic machine-learning or statistics knowledge Palantir Foundry or Azure Data Engineer certificate What We Offer Hybrid work with up to two remote days each week Modern Bengaluru office, and a global peer network Annual bonus linked to company and personal goals 18 days annual leave plus local holidays Insured Benefits: Group Mediclaim Cover, Group Personal Accident Cover, Group Term Life Cover Swiss Re is an equal-opportunity employer - Apply today! About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134457

About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. Learn more about Cognite here Cognite Product Tour 2024 Cognite Product Tour 2023 Data Contextualization Masterclass 2023 Our values Impact : Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership : Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless : Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. About the Role: We are seeking a customer-focused VP of Software Development to lead our software organization in Bengaluru - India . This is a manager of managers role. In this role, you will be responsible for staffing the organization of 40-60 resources, and operating this organization to drive the development of industry-leading AI powered technologies that transform industrial operations and make every data interaction intuitive, effortless, seamless, and empowering. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future. The ideal candidate will have a proven track record of leading high-performing technology teams, a deep understanding of industrial software and AI best practices, and a passion for driving innovation. As a seasoned technical leader, you will have a demonstrated history building and leading organizations with a strong track record of delivering large-scale, industrial-facing technologies, built on scalable architecture. You will be adept at mobilizing multi-team, multi-disciplinary organizations while staying connected with industrial customers and dive deep on user experience, architecture, and technical details. You will work across organizations and disciplines (e.g. Product, Program, Data Science, Design and Engineering) to identify capabilities, influence design, architecture and development of shared services and orchestrate solutions. Key Job Responsibilities Lead a team of software developers & software development managers to identify, evaluate, and implement industrial AI technologies and data fusion capabilities. Collaborate closely with industrial domain experts to deeply understand pain points, unmet needs, and opportunities to enhance operational efficiency through AI and data liberation Research the latest advancements in areas like industrial AI, process optimization, and data contextualization to identify applicable solutions Oversee the development of AI agents, data fusion capabilities, and other industrial software tools that allow customers to unlock the value of their operational data Leverage generative AI capabilities to create intelligent industrial agents, automate complex workflows, and streamline industrial operations Establish robust testing and measurement frameworks to continuously optimize the performance and user experience of industrial AI technologies Partner with IT, security, and compliance teams to ensure all industrial-facing systems meet enterprise standards for privacy, data protection, and reliability in industrial environments Serve as a technical leader and subject matter expert, educating senior stakeholders on emerging trends and the strategic value of industrial AI Hire, develop, and lead a high-performing team of software managers and engineers focused on industrial transformation Basic Qualifications Bachelors degree in Computer science or related field. 14+ years of software engineering experience. 8+ years of demonstrated experience managing engineering managers. Understanding of software engineering practices & best practices for the full software development life cycle including coding standards, build processes, testing, and operations. Strong verbal and written communication skills. Preferred Qualifications Demonstrated experience leading development teams, with a focus on industrial software, IoT, or data-intensive applications Extensive background in AI, machine learning, industrial data processing, and related disciplines Proven track record of taking emerging technologies from research to production-ready industrial solutions Experience deploying and optimizing industrial software platforms, data fusion systems, AI agents, and other industrial AI tools Familiarity with industrial operations, process manufacturing, energy sector, or related industrial domains Experience with time-series data, industrial protocols, and operational technology (OT) environments Strong business acumen and ability to align technology strategy with industrial transformation goals Excellent communication and stakeholder management skills with industrial customers and domain experts Join the global Cognite community! - Join an organization of 70 different nationalities with Diversity, Equality and Inclusion (DEI) in focus - Office location Rathi Legacy (Rohan Tech Park ) Hoodi (Bengaluru) - A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata to know more - Flat structure with direct access to decision-makers, with minimal amount of bureaucracy - Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries - Join our HUB to be part of the conversation directly with Cogniters and our partners. - Hybrid work environment globally Why choose Cognite Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBCs top global enterprise technology startups powering digital transformation ! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader ! Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins Apply today! If youre excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. We encourage you to follow us on Cognite LinkedIn ; we post all our openings there.

Role & responsibilities Preferred candidate profile Job Title: Senior Python Developer AI/ML Location: [On-site/Remote/Hybrid Location] Experience Required: 6+ years Employment Type: [Full-time Job Summary: We are seeking a highly skilled and experienced Senior Python Developer with strong AI/ML expertise to join our dynamic team. The ideal candidate will play a critical role in designing, developing, and deploying intelligent applications and services. You will collaborate closely with data scientists, ML engineers, and product teams to deliver scalable, high-performance AI solutions. Key Responsibilities: Design, develop, and maintain robust and scalable Python applications with integrated AI/ML components. Build and optimize machine learning models for classification, regression, NLP, computer vision, or recommendation systems. Work with large datasets, perform data wrangling, and implement data pipelines using tools such as Pandas, PySpark, or Apache Airflow. Integrate ML models into production-grade applications and APIs (using Flask, FastAPI, etc.). Collaborate with cross-functional teams including Data Engineering, DevOps, and Product Management to define system architecture and implementation strategies. Participate in code reviews, mentor junior developers, and contribute to best coding practices and documentation. Monitor and improve performance of deployed models and applications. Required Skills and Qualifications: Bachelor's/Master’s degree in Computer Science, Data Science, Engineering, or related field. 6+ years of professional experience in Python development. Strong knowledge of machine learning algorithms, statistical modeling, and data science techniques. Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost . Proficient in data processing and analysis tools like NumPy, Pandas, SQL, Spark . Hands-on experience deploying ML models in production environments. Experience with REST APIs and microservice architecture. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes is a plus. Version control (Git), CI/CD pipelines, and cloud platforms (AWS, GCP, Azure) experience preferred. Excellent problem-solving skills, analytical thinking, and attention to detail.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with data visualization tools such as Tableau or Power BI. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Ability to prioritize multiple projects in a fast-paced environment. Strong problem-solving skills, with the ability to think critically and outside the box. Proficiency in Microsoft Office Suite, particularly Excel, Word, and PowerPoint.

Job Title: R Shiny Engineer/Data Scientist Required Experience: 3-4 years Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Responsibilities: Team Leadership: Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics and Statistical Modeling: Design, develop, and implement advanced machine learning models and statistical algorithms to extract insights and solve complex business problems. Apply robust statistical process control (SPC), univariate and multivariate analysis, and both parametric and non-parametric statistical techniques. Conduct hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and other statistical methods to ensure data quality and model validity. Work extensively with batch genealogy data and large manufacturing datasets to uncover patterns and optimize operational efficiency. Ensure strong statistical analysis support for both normal and non-normal distributions R Shiny Application Development: Develop and maintain robust, interactive R Shiny applications to support dynamic data exploration and decision-making platforms. Build scalable and user-driven front-end interfaces for real-time statistical analysis and visualization. Collaborate with backend engineers to integrate R Shiny platforms with Redshift and other data sources for seamless analytics delivery. Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) Minimum 1.5+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. Proven experience in developing and deploying R Shiny applications for real-time analytics and statistical platforms. In-depth experience with SPC, hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and batch genealogy analysis. Experience in developing statistical solutions for both normal and non-normal distributions, and applying both univariate and multivariate techniques. Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Statistical Modeling, and Data Visualization. Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. Must have hands-on experience with Deep Learning technologies for computer vision and image processing, as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. Excellent leadership, communication, and interpersonal skills. Experience with big data technologies and cloud platforms is a plus. Industry IT Services and IT Consulting

Job Title: Sr. Data Scientist Location: Office-Based (Ahmedabad, India) About Hitech Hitech is a leading provider of Data, Engineering Services, and Business Process Solutions. With robust delivery centers in India and global sales offices in the USA, UK, and the Netherlands, we enable digital transformation for clients across industries including Manufacturing, Real Estate, and e-Commerce. Our Data Solutions practice integrates automation, digitalization, and outsourcing to deliver measurable business outcomes. As we continue expanding, were looking for a skilled Lead Data Scientist to guide innovation, lead teams, and solve complex problems using advanced analytics and machine learning. Position Summary As a Lead Data Scientist, you will lead a team of data scientists, machine learning engineers, and big data specialists to design, develop, and deploy data-driven solutions. You will be responsible for identifying business opportunities, translating them into data strategies, and driving measurable outcomes. This role demands strong leadership, deep technical expertise, and a passion for continuous innovation. Key Responsibilities Manage a team of data scientists, machine learning engineers, and big data specialists. Lead data mining, data collection, and cleansing procedures. Ensure high standards of data quality and integrity across all projects. Interpret complex data sets to identify patterns, trends, and actionable insights. Conceive, plan, and prioritize data science initiatives aligned with business goals. Develop and deploy scalable analytics systems and predictive models. Test and validate data-driven products for performance and reliability. Create compelling visualizations and comprehensive reports for stakeholders. Experiment with emerging models and machine learning techniques for innovation. Qualifications & Experience 6-8 years of working experience in Image Processing using deep learning frameworks such as OpenCV, PyTorch, TensorFlow, Theano, and Caffe. Experience in Text Analytics using NLP tools and techniques on unstructured data. Proven track record in building, deploying, and scaling statistical and deep learning models. Experience with large-scale data (structured and unstructured), data management, parallel computing, and distributed systems. Ability to thrive with minimal supervision in a dynamic, fast-paced environment. Capability to understand diverse business processes and quickly contextualize data requirements. Strong problem-solving skills to translate business problems into actionable data strategies. Excellent communication skills (verbal and written) with a learning and innovation mindset. Strong passion for leveraging AI/ML to solve business problems and a proactive approach to experimentation. Hands-on experience with exploratory data analysis, machine learning, and advanced analytics methods. What We Offer Competitive compensation based on skills and experience. Leadership role in building and scaling AI/ML initiatives. Opportunity to work on high-impact global projects with cutting-edge technologies. Continuous learning, innovation, and professional development support. A collaborative, inclusive, and tech-driven workplace environment. If you're passionate about driving innovation through data and leading a dynamic team to solve real-world problems, wed love to hear from you. Anand Soni Hitech Digital Solutions

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Develop and implement process improvements to increase efficiency and productivity. Collaborate with cross-functional teams to achieve business objectives. Design and execute experiments to test hypotheses and validate results. Communicate findings and recommendations to senior management through reports and presentations. Stay updated with industry trends and emerging technologies to drive innovation. Job Requirements Strong analytical and problem-solving skills, with attention to detail and accuracy. Excellent communication and interpersonal skills, enabling effective collaboration with diverse stakeholders. Ability to work in a fast-paced environment, prioritizing multiple tasks and meeting deadlines. Proficiency in data analysis tools and software, with strong programming skills in languages such as Python or R. Experience with statistical modeling and machine learning techniques, applied to real-world problems. Strong business acumen, with an understanding of industry trends and market dynamics.

Power Programmer - Specialist Programmer - Machine Learning (EV-Q1-FY-26) Responsibilities Power Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies., They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots., They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to End contribution to technology oriented development projects., Providing solutions with minimum system requirements and in Agile Mode., Collaborate with Power Programmers., Open Source community and Tech User group., Custom Development of new Platforms & Solutions ,Opportunities., Work on Large Scale Digital Platforms and marketplaces., Work on Complex Engineering Projects using cloud native architecture ., Work with innovative Fortune 500 companies in cutting edge technologies., Co create and develop New Products and Platforms for our clients., Contribute to Open Source and continuously upskill in latest technology areas., Incubating tech user group Additional Responsibilities: Minimum requirements Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics) 5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis Experience with Python and related ML libraries (eg. Pandas, Pytorch) Experience with database languages (e.g. SQL) Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts Experience in Agile working environmentPreferred requirements Experience with AWS cloud services like AWS Textract and Comprehend is preferred Experience with Dagster/Airflow is preferred Experience in MLOps Experience in delivering Natural language processing (NLP) products Technical and Professional Requirements: Responsibilities Responsible for ensuring that ML models and pipelines are deployed successfully into production Implementation of ML features for new and existing systems Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services Automate model training, testing and deployment using CI/CD Understand and implement metrics to verify effectiveness and soundness of the ML modelRequirements Preferred Skills: Technology->Machine learning->data science Technology->Cloud Platform->Azure AI Services->Azure Machine Learning Technology->Machine Learning->MLOps Educational Requirements Bachelor of Engineering,Bachelor Of Technology Service Line Strategic Technology Group

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle, often related to paradigms like -Building & managing Business data lakes and ingesting data streams to prepare data , Developing machine learning and predictive models to analyse data ,Visualizing data ,empowering Information consumers with agile Data Models that enable Self-Service BI , Specialize in Business Models and architectures across various Industry verticals Participate in business requirements / functional specification definition, scope management, data analysis and design, in collaboration with both business stakeholders and IT teams ,Document detailed business requirements, develop solution design and specifications. Support and coordinate system implementations through the project lifecycle working with other teams on a local and global basis Work closely with the solutions architecture team to define the target detailed solution to deliver the business requirements. Your Profile Proven working experience as a Data Business Analyst or Business Analyst with overall experience of min 5 to 9+ years Business analyst with Data background is preferred Preferably, person should have domain knowledge on CPRD/ FS/ MALS/ Utilities/ TMT Strong knowledge of database languages such as SQL and ETL frameworks; spreadsheet tools such as Microsoft Excel; and data visualization software such as Power BI, Tableau, Qlik Independently able to work with Product Management team and prepare Functional Analysis, User Stories Experience in technical writing skills to create BRD, FSD, Non-functional Requirement document, User Manual &Use Cases Specifications Comprehensive & solid experience of SCRUM as well as SDLC methodologies Experience in JIRA/Confluence and possess strong knowledge of the Scrum framework as well as other Agile frameworks such as Kanban, Crystal, XP, etc Strong stakeholder management skills Consultant must have a flair for storytelling and be able to present interesting insights from the data. Must have good exposure to Database management systems, Hands on with SQL and good knowledge of noSQL based databases,Good to have working knowledge of R/Python language. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=4 to 7 , jd=Job Title:-IB Field Data EngineerJob Location:- BangaloreJob Type:- 06 months ContractualExp:- Min 4 to 7 MaxClient:- GenpactNo. of positions:- 2DurationImmediate:- Apptad is looking for a IB Field Data Engineer Profile. It is a long-term job opportunity with us.Medical Device, Field Engineer, RCA, Field Failure data analysis, MS Office (Excel), power BI,SQL, tableau, Title=IB Field Data Engineer, ref=6566554

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=5 to 10 , jd= Job Title:-SAP CO Product Cost ControllingJob Location:- KolkataJob Type:- Full-Time:- Apptad is looking for SAP CO Product Cost Controlling Profile. It is a full-time/long-term job opportunity with us. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact for the project - Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CO Product Cost Controlling - Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity, Title=SAP CO Product Cost Controlling, ref=6566364

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=7 to 13 , jd= Data Scientist Python and Notebooks Responsibilities We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Responsibilities Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency 1013 years of experience in data science or related field Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications , Title=Data Scientist, ref=6566343

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and ability to interpret complex data sets. Experience working with IT Services & Consulting firms, focusing on business intelligence and analytics.

AWS Data Engineer Employment Type: Full Time Employment Work Mode: Work From Office Job Location: Hyderabad Contact Recruiter: Anishma Alexen Walkin Date: 5-July-2025 Time: 11:00 am to 3:00pm Years of experience: 4 to 10 years (with minimum 4 years of relevant experience) Notice: Immediate to 30 days Venue: Agilisium Consulting, RMZ Spire, Tower -100, Hitec City , Hyderabad . Skillset: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Kindly complete the registration process as it mandate for participation Registration Link: https://lnkd.in/gfXVUE8U

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Selected Intern's Day-to-day Responsibilities Include. Developing and maintaining web applications using Python frameworks such as Django or Flask. Participating in web scraping projects to gather and process data from various sources. Working with MongoDB to store, retrieve, and manage data efficiently. Implementing and managing cron jobs-celery for scheduled tasks and automation. Supporting cloud infrastructure setup and maintenance on AWS. Collaborating with the development team to design, develop, and test software solutions. Debugging and resolving technical issues. Documenting code and processes for future reference. Staying up-to-date with the latest industry trends and technologies. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domain has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments