216 Predictive Jobs - Page 7

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

B.E. - Mechanical / Mechatronics Engineer with 08 to 12 years of work experience of maintenance of plant & machinery in a medium / large engineering company. Have maintenance experience in continuous production line. Able to handle maintenance team. Required Candidate profile Experience in monitoring & ensuring smooth operation of utilities & plant machineries. To plan & execute effective Preventive Maintenance schedule of machines that will increase machine availability. Perks and benefits Negotiable - Depending Upon Candidate & Experience

Job Summary. ServCrust is a rapidly growing technology startup with the vision to revolutionize India's infrastructure. by integrating digitization and technology throughout the lifecycle of infrastructure projects.. About The Role. As a Data Science Engineer, you will lead data-driven decision-making across the organization. Your. responsibilities will include designing and implementing advanced machine learning models, analyzing. complex datasets, and delivering actionable insights to various stakeholders. You will work closely with. cross-functional teams to tackle challenging business problems and drive innovation using advanced. analytics techniques.. Responsibilities. Collaborate with strategy, data engineering, and marketing teams to understand and address business requirements through advanced machine learning and statistical models.. Analyze large spatiotemporal datasets to identify patterns and trends, providing insights for business decision-making.. Design and implement algorithms for predictive and causal modeling.. Evaluate and fine-tune model performance.. Communicate recommendations based on insights to both technical and non-technical stakeholders.. Requirements. A Ph.D. in computer science, statistics, or a related field. 5+ years of experience in data science. Experience in geospatial data science is an added advantage. Proficiency in Python (Pandas, Numpy, Sci-Kit Learn, PyTorch, StatsModels, Matplotlib, and Seaborn); experience with GeoPandas and Shapely is an added advantage. Strong communication and presentation skills. Show more Show less

Roles and Responsibilities Perform breakdown maintenance, predictive maintenance, preventive maintenance, and shutdown activities to ensure optimal plant operations. Develop and maintain documentation for maintenance procedures, work instructions, and records. Ensure compliance with safety protocols and regulations during all aspects of maintenance work.

Assist in preventive, predictive, and breakdown maintenance of plant equipment and machinery. Learn and support troubleshooting of mechanical and electrical faults. Maintain proper documentation of maintenance activities

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Role & responsibilities Troubleshooting, installing, aligning, dismantling, repairing, and maintaining industrial machinery, mechanical equipment, electrical equipment, and circuits Installing and aligning new equipment Performing periodic proactive equipment work, such as maintenance machine analysis, preventative maintenance, and other tasks to improve reliability and up time Installing and repairing mechanical drives, chains, sprockets, gearboxes, belts, and couplings Maintain and troubleshoot pneumatic systems, control devices, circuits, and components Maintain critical items by adhering Min-Max Method. Performing daily preventative maintenance. Preventive & corrective maintenance, Manpower management Budget - Spares and services planning Reading and interpreting mechanical, electrical, hydraulic, and pneumatic schematics Working with the Production and Utility Managers to identify and prioritize maintenance needs. Following up for maintenance capex, process excellence, data analysis. Co - ordination with stores, purchase and accounts for Critical spares, services. Preparation of Monthly Presentation for Maintenance., Monthly MIS Presentation Helping meet or exceed production and quality goals while optimizing equipment to reduce waste Inspect, Instruct, Training & development of technicians, engineers for Best Engg practices Proposal Preparation and identification of Projects for Maintenance, Productivity and Energy conservation. Adhering to all plant safety and environmental guidelines, policies, and procedures and actively participating in the safety program Applying problem solving methods to identify the root cause and eliminate failures Understanding of GMP and Food Safety requirements Able to manage manpower Good knowledge in mechanical & electrical both . Electrical Engineering graduate with 10 to 15 years of experience in maintenance of continuous process Industry, Candidate must have working experience in repair and maintenance of large / medium scale continuous process industries. He should have expertise in HT/LT power distribution, transformers, DG sets, boiler, ETP, compressors, conveyors, packaging equipment, PLC/ SCADA, VFDs, transmitters, weighing scales, , fire protection systems, energy conservation, budgeting R & M expenses etc. Preferred candidate profile Sugar, petrochemical, steel, cement, pulp & paper, food processing, fertilizers etc. Interested Candidate Can share the CV on nibhosale@allana.com or on t_mikhan@allana.com

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Chennai, CDC5B Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. An expert in Supply chain/ manufacturing operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning/operations analytics solutions areas such as asset reliability and maintenance, supply, procurement, inventory, spares, quality analytics, process analytics, simulation and mathematical optimization, demand, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

What you’ll do: Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What you’ll need: 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Strong in Python, experience with Jupyter notebooks, and Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Experience with ML lifecycle: data preparation, training, evaluation, and deployment Hands-on experience with GCP services for ML & data science Experience with Vector Search and Hybrid Search techniques Embeddings generation using BERT, Sentence Transformers, or custom models Embedding indexing and retrieval (Elastic, FAISS, ScaNN, Annoy) Experience with LLMs and use cases like RAG Understanding of semantic vs lexical search paradigms Experience with Learning to Rank (LTR) and libraries like XGBoost, LightGBM with LTR support Proficient in SQL and BigQuery Experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Model deployment using Vertex AI, Cloud Run, or Cloud Functions Familiarity with BM25 ranking (Elasticsearch or OpenSearch) and vector blending Awareness of search relevance evaluation metrics (precision@k, recall, nDCG, MRR) Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Designation - Asst. Manager / Dy. Manager - Maintenance Company - Leading Glass Mfg. Company Job Location - Bharuch / Ankleshwar Qualification - B.E./ B.Tech. - Mechanical Experience - 8yr. to 15yrs. share with your friends. Required Candidate profile Troubleshooting & root cause analysis of major / repetitive breakdowns. Preventive and predictive maintenance, MTTR, MTBF Utility Maintenance 5s, Poka-yoke, Support Team Exposure on TPM Activity

Job Area: Facilities & Security Group, Facilities & Security Group > Facilities Engineering Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary: - Building Maintenance Engineer Job Overview A Building Maintenance Engineer is a skilled professional responsible for the safe and efficient functioning of a building and its equipment. They are involved in the upkeep of buildings, including general maintenance, repairs, and the installation of new systems. Qualifications may include experience in engineering, plumbing, electrical work, air conditioning, and interior fit outs. A Building Maintenance Engineer is an important role in businesses and organizations, ensuring that the building is safe and secure while also maintaining the highest standards of building infrastructure. An eye for detail, excellent problem-solving skills, and the ability to think on your feet is vital for this role. Building Maintenance Engineer Responsibilities Maintain the highest standards of quality with cost and time balanced Good communication both oral and written is a must to collaborate with all stakeholders Perform regular inspections and maintenance of building systems to detect and address issues periodically and predictive Should be able to use analytical skills to identify options and implement in quick time Should have the ability to lead, manage and educate internal team of carpenters, plumbers, painters on quality, time and cost Hands on approach Critical thinking to be used for every solution and project to find other options Maintain and educate suppliers on safe and clean work site standards Should be able to work on every repair and maintenance request irrespective of size Conduct repairs on civil and interiors and knowledge of electrical, plumbing, HVAC, and other mechanical systems as needed. Create, track and close a 52 week plan with budget. Work with all stakeholders including finance and procurement teams Work with EHS team to adhere to all safety protocols, regulations, and codes, promoting a culture of safety throughout the organization. Knowledge of OSHA and other safety guidelines are needed Coordinate and track maintenance and repair projects, including managing contractors and vendors and ensuring work is completed to industry standards. Maintain accurate records of maintenance and repair work, including conducting regular equipment inventory and creating maintenance schedules. Respond promptly to maintenance requests and emergencies, troubleshooting issues and implement effective solutions in a timely manner. Stay updated on industry trends and best practices in building maintenance and recommend improvements to enhance facility efficiency and performance. Collaborate with other team members to develop and implement preventive maintenance programs that extend the lifespan of equipment and systems. Knowledge of Industry best practices, standards, methods, materials and costing is critical factor to have. Highest integrity and self-motivation is critical responsibility. Key Deliverables Value for money Innovative solutions Cost optimization Best in quality repairs and upgrades Predictive schedules Monthly reports Zero Safety Incidents Budget preparation, tracking and reporting Building Maintenance Engineer Qualifications & Skills Bachelor's degree in Engineering or a related field. Proven experience working as a Building Maintenance Engineer or in a similar role. In-depth knowledge of building systems, including HVAC,BMS, plumbing, electrical, and fire safety systems. Strong troubleshooting and problem-solving skills to quickly identify and address maintenance issues. Proficient in using maintenance management software and automation Excellent communication and interpersonal skills to effectively coordinate with internal teams, contractors, and vendors. Ability to prioritize tasks, work independently, and manage time effectively. Attention to detail and a commitment to delivering high-quality work. Valid professional license or certification in building maintenance or a related field is preferred.

Title : Required. Demantra Technical & Functional Consultant Demantra Technical & Functional Consultant Req ID: 322789 We are currently seeking a Required. Demantra Technical & Functional Consultant Demantra Technical & Functional Consultant to join our team in Bengaluru, Karntaka (IN-KA), India (IN). Oracle Techno- Functional resource in Oracle Demantra with minimum of 10 years of overall Oracle Applications experience that includes atleast 1-2 implementation experience Well versed across core Demantra Modules"“ Demand Management, Advanced Forecasting, Real-time S&OP, Predictive Trade Planning, Trade Promotion Optimization, and Deductions and Settlement Management Hands-on implementation or support experience of Oracle Demantra modules Good knowledge on integration modules like Inventory ,ASCP,Order Management, shipping ,Transportation, Procurement etc.. Ability to translate business requirements into workable standard or custom solutions Ability to written /analyse sql script to query the Demantra data Very good written and verbal communication skills Experience on providing multi-country, multi-business unit support to clients Prepare test, training scripts, functional specification documents etc. per AIM - Application Implementation Methodology Experience on creating Oracle Service Requests for code-fix, data-fix, product bugs etc. and tracking them to closure Certification from Oracle University on Oracle Demantra certification in Oracle EBS R12 would be an advantage Prior experience on using incident management tool and familiarity with ticket status like User Wait, Testing etc.

Req ID: 322788 We are currently seeking a Demantra Technical & Functional Consultant to join our team in Bengaluru, Karntaka (IN-KA), India (IN). Oracle Techno- Functional resource in Oracle Demantra with minimum of 10 years of overall Oracle Applications experience that includes atleast 1-2 implementation experience Well versed across core Demantra Modules"“ Demand Management, Advanced Forecasting, Real-time S&OP, Predictive Trade Planning, Trade Promotion Optimization, and Deductions and Settlement Management Hands-on implementation or support experience of Oracle Demantra modules Good knowledge on integration modules like Inventory ,ASCP,Order Management, shipping ,Transportation, Procurement etc.. Ability to translate business requirements into workable standard or custom solutions Ability to written /analyse sql script to query the Demantra data Very good written and verbal communication skills Experience on providing multi-country, multi-business unit support to clients Prepare test, training scripts, functional specification documents etc. per AIM - Application Implementation Methodology Experience on creating Oracle Service Requests for code-fix, data-fix, product bugs etc. and tracking them to closure Certification from Oracle University on Oracle Demantra certification in Oracle EBS R12 would be an advantage Prior experience on using incident management tool and familiarity with ticket status like User Wait, Testing etc.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Key Responsibilities: Design and implement machine learning models to solve real-world business problems. Work closely with stakeholders to gather requirements, define KPIs, and deliver data-driven recommendations. Analyze large datasets using SQL , Python (Pandas, NumPy, Scikit-learn, etc.) , and derive insights. Create data visualizations and dashboards using tools like Power BI, Tableau , or Matplotlib/Seaborn . Perform A/B testing, statistical modeling, and predictive analytics. Present findings clearly to technical and non-technical stakeholders through visual storytelling. Required Skills: Strong programming experience in Python for data manipulation and modeling. Expertise in SQL for querying relational databases. Proficiency in machine learning techniques (classification, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Plotly. Solid understanding of statistics and data interpretation. Excellent communication and stakeholder management skills.

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities: Collaborate with business stakeholders to understand and translate their goals into data science initiatives. Lead the development and implementation of machine learning models and algorithms to place ads in the context of cutting-edge privacy frameworks efficiently. Develop strategies to optimize budget allocation in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to discover complex data sets' patterns, trends, and insights. Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in data science, machine learning, and relevant technologies. Develop and train ML/DL models for forecasting/classification Build AI agents RAG-based systems Leverage data-driven insights and predictive modeling to build PoCs. Leverage LangChain, LangGraph, or similar for orchestration Use SQL for data analysis, feature engineering, and reporting Required Skills: Qualification in a quantitative field such as Computer Science, Statistics, Physics, or Mathematics. Excellent problem-solving skills. Strong coding skills. 2+ years of relevant work experience in data science and machine learning. Solid background in statistical analysis, hypothesis testing, and experimental design. Proficiency in Python and SQL Preferred GCP Platform Exposure to RAG, LLMs, and agentic workflows - Finetuning Evaluation Familiar with LangChain, LangGraph, or similar toolkits Plus points if you have experience with Apple Ads (formerly ASA) or have worked in the AdTech space. Effective communication skills with the ability to convey technical concepts to non-technical audiences

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Resourcing the project. The Project Manager will collaborate with the IA regional Operation Leads and her/his People Staffing Partner to assign named resources to the project in accordance with the Statement of Work, always accounting for correct margin and utilization Be the single point of contact for the client embracing the entire scope of technologies being delivered by Capgemini IA Anticipate, identify and communicate risks and attention points to the clients Ensure IA Practice frameworks and methodologies are diligently executed by the project team and continuously ensure the quality of delivery is as per Capgemini standards Define, prepare and drive project governance for the clients (project committees, steering committees etc) Primary Skills Should have exposure to executing projects in Cloud environments (GCP (Preferable)/Azure/AWS) Should have understanding of the various components of Cloud infrastructure Should have knowledge about latest technologies including GenAi(Predictive(MLE, Deep Learning)/Agentic/Generative) Should have executed few projects technically hands on Should know Python to understand the challenges and support the teams Should have understanding of model building and training Should have experience in managing projects in AI/ML. Should have end to end project management life cycle for implementing AI projects Secondary Skills Certifications Prince/PMP/AI Related Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Role & responsibilities: Machine Maintenance, preventive/predictive/Shutdown Maintenance Must have hands on experience in Troubleshooting & Programming - Mitsubishi PLC, Hitachi PLC, Servo system, VFD, Electrical Control Wiring, Welding Machine Maintenance of MIG/TIG Welding Machine, Fanuc CNC, Conveyor Line, Machine Shop Knowledge of ISO/5S system, Spare management Knowledge of why why analysis, Excel and Power Point, Kaizen, MTTR, MTBF Preferred candidate profile: At least 6-8 years of work experience BE/BTech - Electrical or Diploma - Electrical Good communication skills Experience of Manpower handling

. Power Platform Mastery Hands-on expertise in Power BI, Power Apps, Power Automate, and Power Virtual Agents to build cutting-edge business solutions. Analytical Excellence Strong grasp of descriptive, diagnostic, predictive, and prescriptive analytics to turn data into actionable insights. Domain Expertise Proven experience working with Telecom, Healthcare, eCommerce, and ITeS metrics to optimize performance and business strategy. Problem-Solving Mindset Ability to innovate, automate workflows, and enhance decision-making through data-driven insights. Worked on high-impact projects across multiple accounts. Leverage the latest in data analytics and automation. Exposure in Collaborative environment with a dynamic team of innovators and problem-solvers. Opportunity to grow in a fast-paced, data-driven environment.

Career Area: Manufacturing : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSETo supervise a staff responsible for providing the most efficient, economical and timely Maintenance services required to support the manufacturing operation. JOB DUTIES: This is a supervisory position responsible for providing the most appropriate Plant Maintenance services to support manufacturing. Included in these duties are Preventive and Predictive maintenance services, electrical/electronic, systems integration and other services needed to support the operation. Directs a staff capable of providing needed services and utilizes appropriate expertise to assign work. Considers manpower requirements for each project and utilizes proper engineering resources to provide service. Provides guidance and support to staff personnel assigned specific portions of project and coordinates project to ensure completion as scheduled. Resolves problems in Maintenance services the most economical and efficient systems deciding what or which Spares and services should be purchased. Acts as a trouble-shooter and investigates and determines causes for failure, lack of efficiency and need for repairing or improving equipment. Analyzes problems, discusses with other technical personnel and determines most cost-effective method to resolve problem. Assigns work according to expertise and follows projects to ensure satisfactory completion. Ensures proper selection, direction, development and motivation of all personnel to maintain an effective and efficient work force capable of meeting objectives. Adheres to established standards, policies and practices relating to quality, cost reduction, safety, hazardous materials, ergonomics, affirmative action, etc. in performing assigned duties. The position supervises or manages a work unit of primarily management and salaried employees where planning, scheduling, monitoring, and reviewing work of subordinates is required. The position is responsible for expense budgets, capital forecasts and expenditures, and all personnel issues in the area including performance evaluations of subordinates. The position often confronts complex issues and problems that require careful analysis and diagnosis. Problems are often unique, and solutions can require original approaches. The incumbent may modify existing approaches or develop new solutions. The incumbent establishes and then monitors general policies and guidelines for projects under his/her control, to ensure specific management goals are met and desired results are achieved. The position impacts key quality goals including Continuous Improvement, Delivery Timeliness, Equipment Accuracy, Operational Efficiency, Cost Savings, Process Capability, Part Quality, ISO and Class A Certification, etc. BACKGROUND/EXPERIENCE Requires Bachelor of Engineering (full time) degree with experience of at least 15 years gained through practical experience on a variety of staff and supervisory assignments. An overall knowledge of Maintenance services manufacturing operations, processes, machines, equipment and systems is essential. Requires the ability to plan and organize as well as communicate with other technical personnel. Posting Dates: February 12, 2025 - February 18, 2025 Caterpillar is an Equal Opportunity Employer (EEO). Not ready to applyJoin our Talent Community .

About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. The Generative AI space at Target is evolving at an incredible pace. We are constantly reimagining how we may leverage AI for solving the challenging problems in retail. A role with the Generative AI Data Science team means building scalable data science products by leveraging Generative AI in an efficient manner. This will mean being more intelligent, automated and algorithmic in our decision-making. So, we re looking for exceptional people who are proactive, creative, independent, innovative, and comfortable working in varying degrees of ambiguity. Are you a creative problem-solver who seeks root cause, simplifies problems, quickly identifies solutions, commits to a plan and then positively influences others to execute itIf so, you will have success on this dynamic team. About the role Our Generative AI team oversees the development of a platform which will allow various product & engineering teams to leverage GenAI based solutions in an effective manner. We also support various teams within Target so that they will be able to build products as per Target standards regarding use of responsible AI. As a Senior Data Scientist at Target, you will get an opportunity to design, develop, deploy and maintain data science models and tools. You ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You ll also collaborate with AI/ML engineers and data scientists on peer teams to build and productionize groundbreaking GenAI based solutions for various teams. In this role as a Senior Data Scientist, you will Analyze large datasets for insights leading to business process improvements or solution development. Contribute to the research, design, and implementation of leading-edge generative AI technologies to address and solve complex problems that contribute to finding solutions for the retail world. Work with Multimodal LLMs, enhance model performance, fine-tune LLMs Work with the team to build and maintain complex software systems and tools. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. Bachelor s/MS/PhD in Mathematics, Statistics, Computer Science, or other related fields 3-4+ years of relevant experience Strong analytical thinking. Ability to creatively solve business problems, innovating innovative approaches where required. Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Experience in developing, testing, and maintaining large codebases in a collaborative environment, while meeting industry best practices. Highly proficient in programming skills in Python, SQL, Hadoop/Hive. Exposure to programmatic use of GenAI/LLMs and related ecosystem. Experience in developing Deep Learning based solutions using PyTorch or TensorFlow Self-driven and results oriented. Willing to stretch to meet tight timelines. Strong team player with ability to collaborate effectively across geographies/ time zones. Excellent written and verbal communication skills Preferred Qualifications Knowledge of containerized solutions using Docker/ Kubernetes. Exposure to Prompt Engineering, Embedding Generation, Retrieval Augmented Generation (RAG) space (e.g., Vector DB, Elastic Search) will be plus. Knowledge of Computer Vision & Deep Learning Methods. Good working Knowledge of Mathematical and statistical concepts, optimization, data structures and algorithms, data analysis, visualizations, and applications of same in a variety of business problems. Experience deploying solutions with large-scale business impact in commercial settings. Know more about us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits