38637 Jobs in Maharashtra - Page 48

Responsibilities: Review protocol and provide suggestions Respond to queries/ clarifications from EC/ IRBs Answer medical questions from sites or project team Respond to queries from sites with regard to protocol Attend drug safety meetings/ external meetings Patient eligibility review Review AE/ SAEs Protocol training to site staff, CRAs etc Attend, participate/ present in investigator meetings Qualification: MBBS/ MD qualification Eligibility: 3 year+ of clinical trial experience Familiar with clinical trials operations Good English communication skills Proficiency in using Microsoft office

Job Overview: Helping airport check-in staff with Check-in, boarding and seating issues. Act as a codeshare helpdesk.Resolving issues connected with Ancillary services like seating, baggage and upgrades using EMD. Assisting airport booking offices with reservations on own Airline and Interline Ticket Documents. Logging Incident and escalating matters with Amadeus on Service Hub. Doing follow up till its closure. Assisting airport staff with Mishandled Baggage (MHB) and providing support to the network for World Tracer. Providing PNR and Check-in History to Airport and Regulatory agencies for customer servicing requirements. Responsibilities and Duties: Team member will be responsible for addressing airport network and aircraft related DCS-Customer Management, Reservation & ticketing queries round the clock, 24/7 basis. You will be required to resolve or raise incidents with the system provider Amadeus and do the follow up till its closure. Qualifications: Bachelor's Degree in any discipline, Business Administration, or a related field. Experience: At least 3-5 years of experience in airport operations or airline management. Worked in areas covering reservation and DCS and Reservation areas on Amadeus andHelpdesk within an airline environment. Specific skills: Strong communication skills in written & spoken English. Hands on experience in MS office preferred.

Your role and responsibilities As an Associate Software Developer 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: Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong MS SQL, Azure Databricks experience Implement and manage data models in DBT, data transformation and alignment with business requirements. Ingest raw, unstructured data into structured datasets to cloud object store. Utilize DBT to convert raw, unstructured data into structured datasets, enabling efficient analysis and reporting. Write and optimize SQL queries within DBT to enhance data transformation processes and improve overall performance Preferred technical and professional experience Establish best DBT processes to improve performance, scalability, and reliability. Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Databricks Proven interpersonal skills while contributing to team effort by accomplishing related results as required

A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience. Your role and responsibilities Configure and set up marketing campaigns in various platforms, ensuring accurate implementation. Collaborate with marketing teams to understand campaign objectives, requirements, and target audiences. Utilize marketing automation tools to set up and deploy email campaigns, landing pages, and workflows. Implement tracking parameters for campaign performance measurement and analysis. Conduct quality assurance checks to ensure accurate campaign execution and troubleshoot issues. Collaborate with cross-functional teams to integrate campaign setups with CRM and analytics systems. Monitor and optimize campaign setup processes for efficiency and effectiveness. Stay updated on platform updates and best practices for campaign setup. Provide support and training to marketing teams on campaign setup tools and processes. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proficiency in marketing automation platforms (e.g., Marketo, HubSpot, Salesforce Marketing Cloud). Strong understanding of marketing campaign setup processes and best practices. Ability to configure and deploy email campaigns, landing pages, and marketing workflows. Experience with CRM systems and their integration with marketing platforms. Detail-oriented with excellent organizational and time management skills. Familiarity with tracking and analytics tools to measure campaign performance. Effective communication and collaboration skills with marketing teams. Problem-solving skills for identifying and resolving setup issues. Understanding of segmentation and targeting strategies in campaign setup. Preferred technical and professional experience Certification in relevant marketing automation platforms. Knowledge of HTML/CSS for basic troubleshooting and customization. Experience with A/B testing methodologies in campaign setup. Familiarity with API integrations for data exchange between marketing tools. Exposure to advanced campaign setup features, such as personalization and dynamic content. Understanding of compliance and regulatory considerations in marketing. Continuous learning and staying updated on industry trends in marketing technology. Experience with project management tools for coordination and tracking.

Your role and responsibilities As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution Focus: Working across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution Delivery: Involvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5-12 Years of SAP functional experience specializing in design and configuration of SAP SD modules. Must have done one E2E S/4Hana implementation Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Preferred technical and professional experience Domain experience in Sales & Distribution

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Assists clients in the selection, implementation, and support of SD for SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analyzing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing Knowledge and experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Experience in working with teams to prioritize work and drive system solutions by clearly articulating business needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5-12 Years of SAP functional experience specializing in design and configuration of SAP SD modules. Must have done one E2E S/4Hana implementation Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Preferred technical and professional experience Domain experience in Sales & Distribution

What You'll Do Act as astrategic partner to key hiring managers, align recruitment efforts with business goals to fulfill criticaltalentneeds Close critical roleswithin the designated Turnaround Time (TAT), ensuring timely recruitment for high-priority positions Deploy various sourcing techniques including social media platforms and Boolean searches Expand the use ofjob portals such as Naukri.com, LinkedIn, etc to maximize recruitment reach Lineup candidates for recruitment drives, accelerating hiring process for bulk recruitment needs Specialize inheadhunting for niche skills, identify top-tier candidates for hard-to-fill roles Manage relationships withmultiple hiring vendors,ensuring timely support and quality candidates for hard-to-fill positions< /span> Your Superpowers You create interest among potential candidates to drive talent to the organization You can build relationships and a good network to enable a strong pipeline of candidates Effectively headhunt from competitors for critical positions of the organization

What You'll Do Act as astrategic partner to key hiring managers, align recruitment efforts with business goals to fulfill criticaltalentneeds Close critical roleswithin the designated Turnaround Time (TAT), ensuring timely recruitment for high-priority positions Deploy various sourcing techniques including social media platforms and Boolean searches Expand the use ofjob portals such as Naukri.com, LinkedIn, etc to maximize recruitment reach Lineup candidates for recruitment drives, accelerating hiring process for bulk recruitment needs Specialize inheadhunting for niche skills, identify top-tier candidates for hard-to-fill roles Manage relationships withmultiple hiring vendors,ensuring timely support and quality candidates for hard-to-fill positions< /span> Your Superpowers You create interest among potential candidates to drive talent to the organization You can build relationships and a good network to enable a strong pipeline of candidates Effectively headhunt from competitors for critical positions of the organization

Job Description Role Description TCS India is looking for a dynamic & result driven Technical Recruiter to join our Talent Acquisition team. The candidate will be responsible for sourcing & hiring efforts for the requirements in their portfolio and manage end-to-end recruitment from verification of requirements to closing the offers with the candidates and joining. Key Responsibility areas would include Responsible for full life-cycle recruitment process, strategy development, screening, offer negotiation, onboarding and integration. Proactively partner and lead relationships with hiring managers (at all levels) to discuss and make recommendations on resourcing issues (temporary, permanent, fixed term) as well as looking at the most effective way to source suitable candidates Acting as a trusted recruitment / staffing partner, taking ownership for the successful conclusion of projects, monitoring effectiveness of recruitment processes and suggest improvements as appropriate Work along with respective HR leaders in attracting & hiring local talent to support localization, implement new TAG initiatives & focus on specialized hiring Focus on new joiner connects & publish critical feedback & dashboard to theHR and business leaders Critical & timely data reporting to the business & HR leaders Responsible for quality of all recruitment related correspondence and compliance Key performance indicators Recruiter productivity Time to hire Brand building Cost optimization Process improvement Process Compliance on all TAG parameters Eligibility Criteria Total experience 2 to 7 years of relevant experience Highest qualification MBA/PGDM or equivalent courses (full time, offered by AICTE/UGC recognized universities/colleges Experience in volume hiring preferred Strong technical background / knowledge on TAG Lifecycle Identifying and working innovative sourcing channels Good communication and interpersonal skills Process oriented, assertive, and good social skills Ability to work with and adapt to a multi-cultural team Good awareness of TCS Brand Proposition. Career learning opportunities Customer Focus- Partnering with business leaders and work towards closing requirements on time with the right fit. Higher level of learning of key HR processes Staffing and associated systems, Hiring Policies & processes, Market Intelligence on Hiring. Leadership and Collaboration- The role will build leadership capability through the rich experience of networking, communication and collaboration and cross functional teams. Strengthen people management skills and ability to handle challenges

Must Have : SucessFactors certification in Compensation module & Variable Pay 5+ End to End Implementations for SuccessFactors Compensation & Varibale Pay Designing and Implementing of end to end compensation cycles workflows and business rules. Analyse and map the business requirements to the system capabilities to optimise the Compensation solution Experience in working with Integrations to third party systems for payroll. Knowledge of People Analytics, Story reports Good to Have : Understand and evaluate business requirements Follow ITIL Processes in order to execute support activities. Work on Incidents/Changes/Service Requests created by the customer within the agreed SLA . Trouble-shoot issues and offer solutioning and user guidance when needed . Interact with vendors regarding system upgrades, break fix, performance, availability, and system uptimes . Ensure regular connects with Onsite team for providing daily status updates Maintain project documentation (Validation documents/KEDB etc.) and adhere to customer's quality policy and procedures. Presenting the status of work to customer in Weekly and Monthly Status Meetings Provide service improvement suggestions

Must Have : 2+ Sucess Factors valid certification (Mandatory Employee Central) 5+End to End Implementations for SAP S4 HANA HCM & SAP SuccessFactors for global customers 3-8 years experience in the SAP HCM, S4 HANA and SuccessFactors presales cycle Expertise in solution building and proposal writing with excellent communication skills across stakeholders Strong background in scoping and estimation Experience in creating and delivering excellent presentations with product demos (SAP S4 HANA / SuccessFactors) Good to Have : Demonstrated ability in lead generation and conversion Strong reporting and documentation skills Experience Agile and Hybrid Agile Project Framework to deliver programs Experience writing POVs on trending artifacts in the HCM domain Good Understanding of Integrations Frameworks, Automation and business process improvement

Title - Salesforce Solution Architect Job Description Implement and enhance Salesforce platform and cross-platform integration solutions based on industry best practices Work closely with customer in analyzing the current AS-IS system and design the TOBE system. Have an excellent understanding of Salesforce Sales, Service cloud in classic and lightning environments. Expert leadership and collaboration skills with the ability to participate in any cross-functional team. Assist in defining, estimating, and shaping technical solutions using best practices. Lead and manage the design, configuration, and deployment of our medium complexity CRM and other modules to supportsales and support automation Responsible for designing and implementing enterprise IT projects in Salesforce. Duties include Work with technical leads to transform and develop Salesforce.com design and implementation documents. Help project team to design Define and document user interfaces and support system and data requirements. Develop functional specifications and system design specifications.

Technical Skills: Working experience of supporting applications in Extensive hands-on experience with the Murex GUI, back-end infrastructure, Murex services, Workflow (pre-trade and post-trade), and batch structure are essential. Knowledge of trade, deliverable and event life cycles in Murex. Extensive experience with some version of UNIX. Linux preferred but not essential Knowledge of clusters is highly desirable Database experience Sybase ideal but other DB types are acceptable. Ability to troubleshoot and think outside the box to resolve rarely seen problems Familiarity with the functions and structures of XSL, XML, FIX, MXML Ability to read code is essential. Perl and shell scripts are used extensively in the customized Murex environment, as well as a small amount of Java.Being able to modify existing code or writing your own code is desirable Proven track record of delivering to financial institutions. Product knowledge - Fixed Income and OTC Derivatives

Job title - Network Security Job Description Hands on experience of administration of network devices( Router, Switches, wireless controllers, Firewall, VPN) Security Knowledge on Firewall(Cisco ASA, Fortinet, Palo alto) &NAC(ISE) Hands on experience of F5 Load Balancers (LTM / GTM) Deep Knowledge in supporting Cisco Nexus and cisco catalyst Switches Hands on experience in Cisco Wireless Technologies Extensive knowledge and hands on experience in Cisco ISR, ASR routers with deep knowledge on dynamic routing protocols (OSPF,BGP, EIGRP, IS-IS). Strong understanding of IP addressing, MPLS routing, internet Technologies Advanced knowhow of technologies like VPN,VXLAN, VRRP, HSRP, STP, Port channel, NetFlow and stacking technologies Should be more flexible in adapting oneself to project and able to meet the deliverables. Has good experience working on Solar Winds NPM, NCM,IPAM, syslog Has good experience working on ITSM ticketing tool and strong knowledge on ITIL process

Job Overview: Knowledge of Cargo Revenue Accounting (Sales Accounting / Interline Accounting & Mail Accounting). Knowledge of SIS & CASS invoice handling. In dept analysis of various fields captured as part of AWB capture in operations system(gross weight, chargeable weight, tariff charged, SHC codes, product codes etc) needs to be done against the physical /scanned copy of AWB. Responsibilities and Duties: Team member will be responsible to: 1) Analyze various fields on AWB against the data captured in airline cargo operation & revenue accounting system. 2) Apply various business rules for correct rating of AWB in system. 3) Apply various exception in system for invoicing customers at various station across the network. 4) Apply correct rates on AWB (Standard tariff, Contract tariff, Adhoc rates). 5) Query / make changes on data wherever necessary. 6) Handles interline invoices & rejections from SIS 7) Handle CASS reconciliation 8) Communication with stations, agents, and airlines. Specific skills: Strong communication skills in written & spoken English. Hands on experience in MS office preferred.

Desired Competencies (Technical/Behavioral Competency) Must-Have Unix, Linux, Ubuntu Administration Good-to-Have Azure and AWS Responsibility of / Expectations from the Role Knowledge of Linux Operating system and essentials. Help tune performance and ensure high availability of infrastructure. Configuration of infrastructure monitoring and reporting tools. writing Automation Scripts using Ansible or Linux Native capabilities. Good in communication skills. Knowledge of Cloud technologies would be an added advantage Candidate should have core handson experience in dealing with Linux based operating system

Job Description Role *AI Architect Desired Experience Range 12 to 15 years Location of Requirement Pan India- Desired Skills -Technical/Behavioral Must-Have AI/ML Expertise: Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, LangChain. Cloud & DevOps: Experience with AWS SageMaker, Azure ML, Google Vertex AI, Docker, Kubernetes, CI/CD. Big Data & Databases: Expertise in Hadoop, Spark, Kafka, SQL, NoSQL, Snowflake, Delta Lake. MLOps & AI Deployment: Hands-on experience with MLflow, Kubeflow, Airflow, FastAPI, Flask, Streamlit. AI Security & Compliance: Deep understanding of model interpretability, AI ethics, adversarial attacks, governance. Good-to-Have Experience with Generative AI & LLMs (GPT, LLaMA, Stable Diffusion, DALLE, etc.). Knowledge of Edge AI & AI-powered IoT solutions. Experience with AutoML tools like Google AutoML, H2O.ai, DataRobot. Familiarity with quantization, pruning, and optimization techniques for AI model efficiency. Hands-on experience with vector databases (FAISS, Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG) architectures. Knowledge of Reinforcement Learning (RL), Bayesian Methods, and Time-Series Forecasting. Experience with Graph Neural Networks (GNNs) and AI in cybersecurity. Exposure to Blockchain & AI integration for secure and decentralized AI applications. Familiarity with natural language processing (NLP) frameworks like Hugging Face Transformers Responsibility of / Expectations from the Role AI Strategy & Architecture Development Define and implement an enterprise AI architecture that aligns with business goals and IT strategies. Develop AI roadmaps, best practices, and governance frameworks to ensure scalability, security, and efficiency. Evaluate, recommend, and integrate cutting-edge AI/ML frameworks, tools, and platforms (AWS, Azure, GCP). Establish best practices for MLOps, AI governance, and ethical AI practices. AI Model Development & Deployment Lead the design, development, and optimization of machine learning, deep learning, and generative AI solutions. Oversee data preprocessing, feature engineering, and model optimization to ensure accuracy and efficiency. Implement MLOps pipelines for model training, deployment, monitoring, and continuous improvement. Work with software engineers to integrate AI solutions into production environments seamlessly. Data Engineering & AI Infrastructure Collaborate with data engineering teams to design robust data pipelines, warehouses, and lakes for AI consumption. Optimize real-time and batch data processing architectures for AI model performance. Ensure AI infrastructure is scalable, cost-effective, and cloud-native where applicable. AI Governance, Security & Compliance Establish AI governance frameworks to ensure models are explainable, fair, and aligned with ethical standards. Ensure compliance with global data privacy laws (GDPR, HIPAA) and AI risk management frameworks. Monitor AI models for bias, drift, and performance degradation and implement proactive mitigation strategies. Leadership & Collaboration Act as a strategic advisor to executives and stakeholders on AI adoption and innovation. Provide technical leadership and mentorship to AI engineers, data scientists, and cross-functional teams. Conduct knowledge-sharing sessions, drive AI training initiatives, and foster a culture of AI excellence.

Must-Have** 1. Experienced on Active directory (Group polices, Replication issues, AD certificate management), Azure & Azure AD connect, 2. Knowledge and experience of LDAPS, Certificates and Replication. 3. Good Understanding of LAN infrastructure, understanding of various TCP/IP ports, DNS, DHCP concepts. 4. Create / Delete / modify and troubleshoot Group Policies Management. 5. Troubleshoot Active Directory Forest trust issues. 6. Promote and Demote Domain Controllers Servers. 7. Should have understanding and experience of troubleshooting performance and other OS related issues. 8. Troubleshoot DNS Service and DNS resolution issues. 9. Ready to do work in shifts. Good-to-Have 1. Azure Cloud & Azure AD Connect 2. Intune MDM & Policy Configuration management 3. Experience on setting up and execute tasks using PowerShell

What You'll Do Act as astrategic partner to key hiring managers, align recruitment efforts with business goals to fulfill criticaltalentneeds Close critical roleswithin the designated Turnaround Time (TAT), ensuring timely recruitment for high-priority positions Deploy various sourcing techniques including social media platforms and Boolean searches Expand the use ofjob portals such as Naukri.com, LinkedIn, etc to maximize recruitment reach Lineup candidates for recruitment drives, accelerating hiring process for bulk recruitment needs Specialize inheadhunting for niche skills, identify top-tier candidates for hard-to-fill roles Manage relationships withmultiple hiring vendors,ensuring timely support and quality candidates for hard-to-fill positions< /span> Your Superpowers You create interest among potential candidates to drive talent to the organization You can build relationships and a good network to enable a strong pipeline of candidates Effectively headhunt from competitors for critical positions of the organization

Must have: Hands On experience for Setting Up and configuration of Cloud Tenant for various functions/services like Exchange Online, MS Teams, SharePoint Online, Microsoft Defender, etc. Should have experience using various Migration Tool for migration. Required Skill Set: Tool based migration experience like Quest, Bit titan, Trans-vault etc. Manage post migration issues during Hypercare support. Troubleshoot / Analyze migration error logs Manage discovery phase pre migration, creation of mapping files. Should have experience on OneDrive migration Should have experience on Teams migration. Should have experience on Exchange Online migration. Should have experience on working on BAU activities. Should have knowledge on ITIL, Change management etc.

Purpose Join our dynamic Global Tech, Data & Digital team as we spearhead a transformation journey focused on accelerating and improving Service optimization and Tech efficiency. We're seeking Application Service Delivery Head to play a pivotal role in implementing initiatives aimed at Tech, Data & Digital Transformation. Your primary responsibilities will include manage the RUN operations globally from GBS perspective, work with global partners to ensure contractual obligations are delivered to the accepted levels, be the focal point for all the regions for smooth delivery of objectives from an applications perspective. If you're passionate about transforming Tech, Data & Digital Information and making a positive impact on a global scale, we invite you to join us on this exciting journey. We seek an individual with a blend of energy, expertise, experience, and determination to successfully navigate this journey with the utmost quality. Main objectives and expectations: Plan and manage transitions across all regions and provide overall governance Manage all the RUN service delivery operations for Applications across all regions with close collaboration with regional teams Manage all escalations, review all customer reports, analyze all SLAs/RCAs and drive continuous service optimization Monitor, mitigate risks and act on dependencies Ensure best practices are implemented across regions Monitor and manage all vendor delivery commitments, provide relevant reporting, and manage all key stakeholder meetings Be the link between Vendors and all Regional Application Teams, ensure close collaboration Ensure all contractual obligations are met by vendor Work with different disciplines (Finance, IT, Business & Operations, External Vendors) Align with PMO and VMO teams for reporting and managing vendor escalations. Consolidate and communicate all regional priorities and drive commonality and consistency Manage Application service delivery team Drive capacity and capability building for Applications. Ensure compliance with procedures and methods of quality assurance and IT security Profile High level profile requirements: Engineering degree 18+ years of proven experience in Transition and Service Delivery of Applications portfolio, project management and project coordination within a large IT organization Proven strong track record with a minimum of 10+ years’ experience in managing RUN service delivery Proven experience of manage managing partners for large transitions and service delivery Strong experience in driving optimization and service optimization Good knowledge of techniques like SAP, Salesforce, CRM, Microsoft technologies, Cloud etc Hands on experience in waterfall and agile delivery methodologies Strong understanding of Tech, Data & Digital fundamentals Previous experience in implementing transformation initiatives in an environment involving organizational change Ability to develop and tailor communications as appropriate. Excellent communication, leadership, team management and organizational skills. Preferable to have PMI, ITIL, Cloud certifications Reporting to VP, GBS Technology and Transformation Show more Show less

JOB DESCRIPTION Role: Department Manager Reporting To: Unit Head People Reporting To DM: Customer Care Associates Qualification: Graduate/MBA/PGDBM Experience: Min.1 year Managerial experience Salary: Upto 550000 p.a Key Deliverables Achievement of Budgeted Plan Works out action plans/tactics to match requirement Competition mapping Identifies parameters to track competition Builds resources and databases of information on an ongoing basis by networking Creates an index and updates it Inventory Management Does process mapping for movement of stocks from receiving bay to floor Initiates stock-takes as per the agreed and laid down procedure Ensures effective displays with the objective of achieving greater number of stock turns Plans for perpetual inventory Customer care/customer service Ensures customers are guided to enable them to avail of value added services like gift-wrapping, alterations, exchanges & other conveniences Sets up processes/initiates plans to build for moments of magic, avoid customer complaints & grievances Customer feedback Sets up mechanism for recording of verbal complaints / suggestions Ensures collation of data on customer complaints / suggestions and circulates it to relevant people Ensures in service recovery within agreed time-line (72 hours) Ensures customers queries are addressed and complaints / grievances are resolved (I.e. moments of misery are converted into moments of magic) Manpower availability Anticipates shifts in customer entry pattern and directs supervisors to schedule CCA availability accordingly Floor presentation Understands the Visual Merchandising plan and customer buying process and translates the VM plan to match local needs and as per stock availability Communicates the above to supervisors Arrangement of stock in space allocated as per plan Creates display plan of merchandise for his sections on the basis of underlying principles Communicates the display plan and the underlying principles to the supervisors for the purpose of execution Analysis and reporting Analyzes available data, identifies causes and suggests solutions Identifies all reports that need to be generated with frequency, schedules and identifies sources of information Ensures compliance Shrinkage control Identifies most pilfered products and common methods of pilferage Show more Show less

Function: Data Science Job: Machine Learning Engineer Position: Senior Immediate manager (N+1 Job title and name): AI Manager Additional reporting line to: Global VP Engineering Position location: Mumbai, Pune, Bangalore, Hyderabad, Noida. 1. Purpose of the Job – A simple statement to identify clearly the objective of the job. The Senior Machine Learning Engineer is responsible for designing, implementing, and deploying scalable and efficient machine learning algorithms to solve complex business problems. The Machine Learning Engineer is also responsible of the lifecycle of models, once deployed in production environments, through monitoring performance and model evolution. The position is highly technical and requires an ability to collaborate with multiple technical and non-technical profiles (data scientists, data engineers, data analysts, product owners, business experts), and actively take part in a large data science community. 2. Organization chart – Indicate schematically the position of the job within the organization. It is sufficient to indicate one hierarchical level above (including possible functional boss) and, if applicable, one below the position. In the horizontal direction, the other jobs reporting to the same superior should be indicated. A Machine Learning Engineer reports to the AI Manager who reports to the Global VP Engineering. 3. Key Responsibilities and Expected Deliverables– This details what actually needs to be done; the duties and expected outcomes. Managing the lifecycle of machine learning models Develop and implement machine learning models to solve complex business problems. Ensure that models are accurate, efficient, reliable, and scalable. Deploy machine learning models to production environments, ensuring that models are integrated with software systems. Monitor machine learning models in production, ensuring that models are performing as expected and that any errors or performance issues are identified and resolved quickly. Maintain machine learning models over time. This includes updating models as new data becomes available, retraining models to improve performance, and retiring models that are no longer effective. Develop and implement policies and procedures for ensuring the ethical and responsible use of machine learning models. This includes addressing issues related to bias, fairness, transparency, and accountability. Development of data science assets Identify cross use cases data science needs that could be mutualised in a reusable piece of code. Design, contribute and participate in the implementation of python libraries answering a data science transversal need that can be reused in several projects. Maintain existing data science assets (timeseries forecasting asset, model monitoring asset) Create documentation and knowledge base on data science assets to ensure a good understanding from users. Participate to asset demos to showcase new features to users. Be an active member of the Sodexo Data Science Community Participate to the definition and maintenance of engineering standards and set of good practices around machine learning. Participate to data science team meeting and regularly share knowledge, ask questions, and learn from others. Mentor and guide junior machine learning engineers and data scientists. Participate to internal or external relevant conferences and meet ups. Continuous Improvements Stay up to date with the latest developments in the field: read research papers, attend conferences, and participate in trainings to expand their knowledge and skills. Identify and evaluate new technologies and tools that can improve the efficiency and effectiveness of machine learning projects. Propose and implement optimizations for current machine learning workflows and systems. Proactively identify areas of improvement within the pipelines. Make sure that created code is compliant with our set of engineering standards. Collaboration with other data experts (Data Engineers, Platform Engineers, and Data Analysts) Participate to pull requests reviews coming from other team members. Ask for review and comments when submitting their own work. Actively participate to the day-to-day life of the project (Agile rituals), the data science team (DS meeting) and the rest of the Global Engineering team 4. Education & Experience – Indicate the skills, knowledge and experience that the job holder should require to conduct the role effectively Engineering Master’s degree or PhD in Data Science, Statistics, Mathematics, or related fields 5 years+ experience in a Data Scientist / Machine Learning Engineer role into large corporate organizations Experience of working with ML models in a cloud ecosystem Statistics & Machine Learning Statistics : Strong understanding of statistical analysis and modelling techniques (e.g., regression analysis, hypothesis testing, time series analysis) Classical ML : Very strong knowledge in classical ML algorithms for regression & classification, supervised and unsupervised machine learning, both theoretical and practical (e.g. using scikit-learn, xgboost) ML niche: Expertise in at least one of the following ML specialisations: Timeseries forecasting / Natural Language Processing / Computer Vision Deep Learning: Good knowledge of Deep Learning fundamentals (CNN, RNN, transformer architecture, attention mechanism, …) and one of the deep learning frameworks (pytorch, tensorflow, keras) Generative AI: Good understanding of Generative AI specificities and previous experience in working with Large Language Models is a plus (e.g. with openai, langchain) MLOps Model strategy : Expertise in designing, implementing, and testing machine learning strategies. Model integration : Very strong skills in integrating a machine learning algorithm in a data science application in production. Model performance: Deep understanding of model performance evaluation metrics and existing libraries (e.g., scikit-learn, evidently) Model deployment: Experience in deploying and managing machine learning models in production either using specific cloud platform, model serving frameworks, or containerization. Model monitoring : Experience with model performance monitoring tools is a plus (Grafana, Prometheus) Software Engineering Python: Very strong coding skills in Python including modularity, OOP, data & config manipulation frameworks (e.g., pandas, pydantic) etc. Python ecosystem: Strong knowledge of tooling in Python ecosystem such as dependency management tooling (venv, poetry), documentation frameworks (e.g. sphinx, mkdocs, jupyter-book), testing frameworks (unittest, pytest) Software engineering practices: Experience in putting in place good software engineering practices such as design patterns, testing (unit, integration), clean code, code formatting etc. Debugging : Ability to troubleshoot and debug issues within machine learning pipelines Data Science Experimentation and Analytics Data Visualization : Knowledge of data visualization tools such as plotly, seaborn, matplotlib, etc. to visualise, interpret and communicate the results of machine learning models to stakeholders. Basic knowledge of PowerBI is a plus Data Cleaning : Experience with data cleaning and preprocessing techniques such as feature scaling, dimensionality reduction, and outlier detection (e.g. with pandas, scikit-learn). Data Science Experiments : Understanding of experimental design and A/B testing methodologies Data Processing: Databricks/Spark : Basic knowledge of PySpark for big data processing Databases : Basic knowledge of SQL to query data in internal systems Data Formats : Familiarity with different data storage formats such as Parquet and Delta DevOps Azure DevOps : Experience using a DevOps platform such as Azure DevOps for using Boards, Repositories, Pipelines Git: Experience working with code versioning (git), branch strategies, and collaborative work with pull requests. Proficient with the most basic git commands. CI / CD : Experience in implementing/maintaining pipelines for continuous integration (including execution of testing strategy) and continuous deployment is preferable. Cloud Platform: Azure Cloud : Previous experience with services like Azure Machine Learning Services and/or Azure Databricks on Azure is preferable. Soft skills Strong analytical and problem-solving skills, with attention to detail Excellent verbal and written communication and pedagogical skills with technical and non-technical teams Excellent teamwork and collaboration skills Adaptability and reactivity to new technologies, tools, and techniques Fluent in English 5. Competencies – Indicate which of the Sodexo core competencies and any professional competencies that the role requires Communication & Collaboration Adaptability & Agility Analytical & technical skills Innovation & Change Rigorous Problem Solving & Troubleshooting Show more Show less

Key Responsibilities: Tender Management Research and identify tender opportunities through government portals, private organizations, and industry-specific channels Analyze tender documents to understand the requirements, technical specifications, and evaluation criteria. Manage end-to-end tender submission processes, ensuring compliance with deadlines and guidelines. Proposal Development: Prepare comprehensive bid proposals, including technical and financial components, tailored to client specification Collaborate with technical teams to create solution write-ups, system architecture designs, approach document and implementation plans. Incorporate value propositions, case studies, and certifications to strengthen bid competitiveness Stakeholder Coordination: Liaise with internal teams, including project managers, developers, and business analysts, to gather inputs for tender responses. Coordinate with external vendors, solution providers, and partners to secure necessary documentation, pricing, and certification Manage communication with clients for tender clarifications and post-bid requirement Compliance and Risk Assessment: Ensure all proposals meet legal, regulatory, and industry-specific standards such as ISO, CMMI, and other compliance frameworks. Identify and assess risks related to technical feasibility, vendor reliability, and financial implication Presentation and Negotiation: Develop and deliver compelling presentations to clients, highlighting the organizations technical capabilities and strategic advantages. Participate in pre bid meetings, post-bid negotiations, providing clarifications and adjustments required. Documentation and Reporting: Maintain a repository of templates, standard documentation, and compliance checklists for future submissions. Generate detailed reports on tender activities, including win rates, feedback, and process improvements for senior management. Qualification Bachelors degree in IT, Computer Science, Business Administration, or a related field Minimum of 2-4 years of experience in tender submission or proposal management, preferably in the IT sector. Familiarity with government e-procurement systems and private tender portals. Key Skills and Competencies: Strong understanding of IT services, technologies, and industry best practices. Excellent written and verbal communication skills for proposal writing and client interaction. Proficiency in tender management tools (e.g., tender 24x7, TenderTiger, gem portal Strong analytical and problem-solving skills to evaluate requirements and develop strategic responses. Attention to detail and ability to manage multiple tenders simultaneously under tight deadlines. Negotiation skills to handle discussions with vendors and clients effectively. Knowledge of compliance standards and regulatory frameworks in the IT industry.

Company Description Govina Metfab (OPC) Private Limited is an EPC manufacturing and export company that provides end-to-end solutions for turnkey projects. We specialize in transforming raw materials into finished products, components, or structures through various processes. Known for our versatility, we offer a wide range of customized solutions to meet diverse client needs. Role Description We are seeking a results-driven Marketing Specialist to promote our metal fabrication services and expand our market presence. The ideal candidate will have a strong understanding of B2B marketing in the industrial or manufacturing sector, and will develop campaigns that showcase our technical capabilities, quality, and customer service. Key Responsibilities: Develop and implement marketing strategies to promote the company’s metal fabrication services (e.g., CNC machining, welding, custom metalwork). Create targeted content for the website, brochures, case studies, social media, and email campaigns to engage industrial clients. Collaborate with the sales team to generate qualified leads and support customer acquisition goals. Manage and optimize the company’s online presence, including SEO, Google Ads, and industry-specific directories. Plan and coordinate participation in trade shows, exhibitions, and industry networking events. Build and maintain relationships with industry partners, associations, and clients. Conduct market research and competitor analysis to identify trends and opportunities in the fabrication sector. Track KPIs such as website traffic, lead conversions, and campaign ROI to evaluate performance and make data-driven improvements. Qualifications: Bachelor’s degree in Marketing, Business, Industrial Engineering, or a related field. 2+ years of marketing experience, preferably in the manufacturing, construction, or industrial sector. Strong understanding of B2B marketing strategies and lead generation. Familiarity with metal fabrication processes and terminology is a strong plus. Proficiency in digital marketing tools (Google Analytics, SEO tools, email marketing platforms). Excellent communication skills—verbal, written, and visual. Ability to manage multiple projects and meet deadlines with minimal supervision. Preferred Skills: Experience with CAD visuals, technical brochures, or engineering content. Knowledge of CRM systems (e.g., HubSpot, Salesforce). Graphic design skills (Canva, Adobe Illustrator) are a plus. Trade show planning or industrial event marketing experience. Show more Show less