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engineering  manager-ai/ml Jobs in Hyderabad

engineering  manager-ai/ml

product engineer (python/pyspark) Jobs in Hyderabad

product engineer (python/pyspark)

nlp engineer

NVIDIA

<div>
 The NVIDIA SW groups are looking for a highly motivated, dynamic
 
 Software Engineer
 
 to help us develop/test/automate/implement softwares for our cutting-edge technology. Are you passionate about new technology and looking forward to work on next-generation NVIDIA Products? Do you love to provide innovative solutions and have fun while working on complex problems. Nvidia is looking for great software engineers like you to join us in our engineering groups.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Work on the complete Product life cycle and in-process design, develop build, and improve our software stack.
 </li>
 <li>
 Triage and debug complex issues.
 </li>
 <li>
 Improve the system performance of Nvidia products.
 </li>
 <li>
 Building and customizing existing infrastructure to enable the effort of system tunning, debugging, automation, and validation across workloads.
 </li>
 <li>
 Analyzing performance bottlenecks and implementing optimization techniques.
 </li>
 <li>
 Collaborate with various teams on new product features and improvements of existing products.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 BTECH/MTECH with 3+ years of experience in C/C++ /Python/Java/Golang
 </li>
 <li>
 Strong programming skills, OOPS, Data structures, and Algorithms.
 </li>
 <li>
 Experience in Windows / Linux / embedded OS environment.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 If you have experience in at least a few of the following areas, we will have an excellent match for our needs:
 </li>
 <ul>
 <li>
 System Software /Embedded/Firmware/Device Driver/Kernel.
 </li>
 <li>
 Cloud/UI/Full-Stack/Backend/Distributed Systems
 </li>
 <li>
 SRE/DevOps/Kubernetes
 </li>
 <li>
 Automation/Tools development/Test development
 </li>
 <li>
 AI/ML/LLM/DL/Speech/NLP
 </li>
 </ul>
 <li>
 Good interpersonal skills and ability to work as an excellent teammate.
 </li>
 <li>
 Excellent communication skills to collaborate with cross-cultural teams and work in a matrix organization.
 
 </li>
 </ul>
 With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and independent, with a genuine passion for technology, we want to hear from you.
 
 
 JR1979695
 
 
</div>

Software Engineer

YASH Technologies

<div>
 YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
 
 
 At YASH, we&rsquo;re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth &ndash; bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
 
 
 
 We are looking forward to hire AI Professionals in the following areas :
 
 
 
 
 Experience
 
 
 
 1-5 Years
 
 
 
 Responsibilities
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Natural lang., processing and AI/Gen AI/ML skills
 </li>
 <li>
 Python skills
 </li>
 <li>
 SQL Query skills (optional)
 </li>
 <li>
 Basic UI interface building skills and Javascript skills
 </li>
 <li>
 Good comm.,(oral/written)
 
 
 </li>
 </ul>
 At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
 
 
 
 Our Hyperlearning workplace is grounded upon four principles
 
 
 
 <ul>
 <li>
 Flexible work arrangements, Free spirit, and emotional positivity
 </li>
 <li>
 Agile self-determination, trust, transparency, and open collaboration
 </li>
 <li>
 All Support needed for the realization of business goals,
 </li>
 <li>
 Stable employment with a great atmosphere and ethical corporate culture
 </li>
 </ul>
</div>

Associate Business Analyst - AI/ML Job

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Job Description: EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Egen

<div>
 
 Job Description :
 
 
 
 We are seeking a highly motivated and experienced ML Manager/Lead Data Scientist to join our growing ML/GenAI team.
 
 
 You will play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them. As a lead, you require a deep understanding of both machine learning algorithms and software architecture. You need to take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery.
 
 
 
 What we're looking for:
 
 
 
 <ul>
 <li>
 At least 5 years of experience in designing &amp; building ML/AI applications for customer and deploying them into production
 </li>
 <li>
 At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers
 </li>
 <li>
 At least 2 years of experience leading and mentoring ML/data science teams( 4+ team members)
 </li>
 <li>
 Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI
 </li>
 <li>
 Design, develop, and operationalize existing ML models by fine tuning, personalizing it
 </li>
 <li>
 Evaluate machine learning models and perform necessary tuning
 </li>
 <li>
 Develop prompts that instruct LLM to generate relevant and accurate responses
 </li>
 <li>
 Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation
 </li>
 <li>
 Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance
 </li>
 <li>
 Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies
 </li>
 <li>
 Hands on customer experience with RAG solution or fine tuning of LLM model
 </li>
 <li>
 Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools
 </li>
 <li>
 Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment
 </li>
 <li>
 Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving
 </li>
 <li>
 Proven experience building and deploying machine learning models in production environments for real life applications
 </li>
 <li>
 Good understanding of natural language processing, computer vision or other deep learning techniques
 </li>
 <li>
 Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain)
 </li>
 <li>
 Familiarity with Google Cloud or any other Cloud Platform and its machine learning services
 </li>
 <li>
 Excellent communication, collaboration, and problem-solving skills
 
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent
 </li>
 <li>
 Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure
 </li>
 <li>
 Experience with AutoML and vision techniques
 </li>
 <li>
 Master&rsquo;s degree in statistics, machine learning or related fields
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Engineering  Manager-AI/ML

MetLife

<div>
 
 Requirements
 
 
 
 
 Description and Requirements
 
 
 
 
 GOSC- GG10- Data Scientist (IC)
 
 
 
 
 Position Title:
 
 
 
 Senior Data Scientist (IC)
 
 
 
 Function, Responsibility Level:
 
 
 
 
 Reports to (Responsibility Level):
 
 
 
 
 GG13 Director Data science or
 
 
 
 
 GG12 Lead Data Scientist
 
 
 
 
 Supervises:
 
 
 
 
 Location:
 
 
 
 Hyderabad/Noida
 
 
 
 Global Grade: 10
 
 
 
 
 Cost Center (85 series):
 
 
 
 ####
 
 
 
 Complexity:
 
 
 
 
 PID/s Load Mapping:
 
 
 
 
 Position Summary
 
 
 
 Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.
 
 
 
 Role Value Proposition:
 
 
 
 We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife&rsquo;s enterprise functions and lines of businesses across markets.
 
 
 This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Hands on development and implementation of AI/ generative AI models &amp; algorithms to solve complex problems and drive innovation across organization.
 </li>
 <li>
 Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes.
 </li>
 <li>
 Perform data exploration, machine learning models development &amp; active collaboration with cross functional teams
 </li>
 <li>
 Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
 </li>
 <li>
 Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning.
 </li>
 <li>
 Drive innovation within teams, by enhancing existing solutions and designing new ones.
 
 
 
 </li>
 </ul>
 
 Knowledge, Skills, And Abilities
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s/master&rsquo;s degree in an information technology/computer science or relevant domain
 
 
 
 Experience
 
 
 
 
 Technology Skills
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in Analytics, data science or similar function
 </li>
 <li>
 Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark,
 
 
 
 </li>
 </ul>
 , R &amp; have experience in machine learning libraries &amp; frameworks such as
 
 
 TensorFlow, PyTorch, or Keras.
 
 
 <ul>
 <li>
 Strong hands-on expertise in traditional as well as modern statistical &amp; ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests &amp; other ensemble methods.
 </li>
 <li>
 Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc.
 </li>
 <li>
 Experience in technologies like Azure, AWS, and advanced analytics concepts like
 
 
 
 </li>
 </ul>
 Simulation, Deep Learning etc. are considered as a plus.
 
 
 <ul>
 <li>
 Ability to meet deadlines for product deliverables in a timely, proactive, and
 
 
 
 </li>
 </ul>
 entrepreneurial manner.
 
 
 
 General Management skills:
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills to ideate.
 </li>
 <li>
 Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management.
 </li>
 <li>
 Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.
 
 
 
 </li>
 </ul>
 
 Working Relationships
 
 
 
 
 Internal Contacts
 
 
 (And purpose of relationship):
 
 
 
 MetLife GTO Engineering, Digital Office and Global Data and analytics
 
 
 Business
 
 
 GOSC Leadership
 
 
 
 External Contacts
 
 
 
 (And purpose of relationship) &ndash; If Applicable
 
 
 Vendors
 
 
 Consultants
 
 
 
 About MetLife
 
 
 
 Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
 
 
 Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible . Join us!
</div>

Data Scientist - I

Cloudangles

<div>
 
 Job Summary
 
 
 
 Data Engineer II perform development activities within a data engineering team and help guide, onboard, and train Data Engineer I. You will work closely with account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data pipelines and enhancements and investigate and troubleshoot issues. You possess an understanding of multiple data structures, including relational and non-relational data models.
 
 
 
 Essential Functions/Responsibilities/Duties
 
 
 
 <ul>
 <li>
 Extracting, cleansing, and loading data.
 </li>
 <li>
 Building data pipelines using Snowflake, SQL, Kafka, and other technologies.
 </li>
 <li>
 Investigation and documentation of new data sets
 </li>
 <li>
 Triage incoming bugs and incidents.
 </li>
 <li>
 Perform technical operation tasks.
 </li>
 <li>
 Investigate and troubleshoot issues with data and data pipelines.
 </li>
 <li>
 Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and additional implementation details.
 </li>
 <li>
 Help monitor areas of the data pipeline and raise awareness to team when issues arise.
 </li>
 <li>
 Performing and implementing new quality assurance rules to maintain consistent and accurate data.
 </li>
 </ul>
</div>

Data Engineer II

Movate

<div>
 
 We are looking for enthusiastic
 
 Tech Support / Help Desk Engineers
 
 to join our team in
 
 Hyderabad
 
 .
 
 
 📌 Open Positions
 
 <ul>
 <li>
 
 Engineer
 
 : 1&ndash;5 years experience |
 
 50 openings
 
 |
 
 CTC: 3 &ndash; 6.5 LPA
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Service desk Support Engineer | Job Description
 
 
 
 
 
 
 
 Summary :
 
 
 
 
 Highly Proficient in Spoken &amp; Written English (B1 CEFR level). Mid Level troubleshooting skills with the ability to identify and resolve tech problems, by following readily available instructions &amp; should possess an ability to dive deep into KBs as well as SOPs and come up with solutions to the issue presented.
 
 
 
 
 Candidates must demonstrate advanced proficiency in both verbal and written English, allowing them to:
 
 
 <ul>
 <li>
 
 Handle Complexity: Express themselves fluently, spontaneously, and effectively in complex troubleshooting scenarios.
 
 </li>
 <li>
 
 Adapt Communication: Communicate clearly and persuasively, adapting language to be easily understood by both technical and non-technical stakeholders.
 
 </li>
 <li>
 
 Produce Clear Documentation: Write clear, well-structured emails, documentation, and case notes on complex technical subjects.
 
 </li>
 </ul>
 
 
 This role requires an individual with excellent problem-solving abilities coupled with a strong customer service orientation, and the capacity to manage multiple issues in a fast-paced environment as well the ability to communicate effectively with both technical and non-technical customers.
 
 
 
 You will be employed with Movate Technologies on issues faced by the users, doing the below responsibilities, but not limited to -
 
 <ul>
 <li>
 Provide world class remote assistance to users via Chat, Phone and eMail
 </li>
 <li>
 Assists users by remote troubleshooting and resolving technical and service issues.
 </li>
 <li>
 Performs tasks according to standardized policies, requiring basic analytical and cognitive skills to address technical issues.
 </li>
 </ul>
 
 
 Principle duties and responsibilities | Job Description :
 
 
 <ul>
 <li>
 
 Provides comprehensive remote support across major operating systems -
 
 </li>
 <li>
 Chrome OS, Mac OS, Windows, Linux by utilizing readily available basic OS troubleshooting techniques.
 </li>
 <li>
 Follow documented procedures for issues presented and escalate further if need be.
 </li>
 <li>
 
 Has the ability to troubleshoot by -
 
 </li>
 <li>
 Problem Isolation - The engineer should be able to identify if the presented issue is due to hardware, software, network, or user-related, and systematically narrowing down the root cause.
 </li>
 <li>
 Employ advanced troubleshooting techniques to diagnose and resolve problems efficiently by searching in SOPs and KBs
 </li>
 <li>
 Diagnose hardware-related issues with desktops, laptops, printers, and peripherals, including recommending escalations to different internal departments and replacements when necessary.
 </li>
 <li>
 Assist in setting up, configuring, and installing new software and hardware.
 </li>
 <li>
 Document issues, resolutions, and troubleshooting steps for knowledge sharing and future reference.
 </li>
 <li>
 Communicate effectively with non-technical users to explain solutions in an understandable manner.
 </li>
 <li>
 Collaborate with cross-functional teams to escalate and resolve incidents.
 </li>
 <li>
 Support &amp; Execute the deployment and integration of new SOPs and change in systems.
 </li>
 </ul>
 
 
 Must Have Skills :
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical skills with a focus on mid-level troubleshooting.
 </li>
 <li>
 2 - 3 years of IT related Customer Service experience
 </li>
 <li>
 Excellent communication skills, should be able to hold a conversation
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 </li>
 <li>
 Ability to deal professionally as well as ability to learn new products and technologies
 </li>
 <li>
 Good customer service skills, multitasking and documentation skills
 </li>
 <li>
 Ability to adjust quickly to the changing priorities and implement the same per business requirements
 </li>
 </ul>
 
 
 
 
 
 Knowledge, Skills and Abilities :
 
 
 
 
 
 <ul>
 <li>
 Ability to analyze and solve technical problems by investigating potential solutions using troubleshooting skills
 </li>
 <li>
 Good Analytical &amp; Cognitive skills
 </li>
 </ul>
 
 
</div>

Technical Support Engineer - Immediate Joiner only

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