software engineer Jobs in Hyderabad India

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deep learning engineer

Dr. Reddy's Laboratories

<div>
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Lead end-to-end development of demand forecasting models using classical time series (ARIMA, Exponential Smoothing), machine learning, and demand sensing techniques using market intelligence and historical sales data.
 </li>
 <li>
 Design and implement mathematical optimization solutions for production planning, scheduling and network optimization across manufacturing and distribution points.
 </li>
 <li>
 Work directly with supply chain leaders to translate business problems into quantitative models and deliver measurable improvements in service levels, cost, and efficiency.
 </li>
 <li>
 Deploy and maintain solutions in production environments, collaborating with engineering and business intelligence teams.
 </li>
 <li>
 Quantify business impact (e.g. xx% reduction in stockouts, xx% reduction in idle stock).
 </li>
 </ul>
 
 
 
 
 
 Technical &amp; Functional Skills:
 
 
 <ul>
 <li>
 6+ years of experience in demand forecasting and supply chain optimization in manufacturing or pharma domain.
 </li>
 <li>
 Strong demand forecasting expertise- Time series, machine learning and deep learning models.
 </li>
 <li>
 Strong programming in Python, SQL; familiarity with GCP or Azure.
 </li>
 <li>
 Deep knowledge of supply chain processes - production planning, inventory management, and logistics.
 </li>
 <li>
 Experience with simulation tools (e.g. Arena) is a plus.
 </li>
 <li>
 Ability to communicate complex models to non-technical stakeholders and influence decision-making.
 </li>
 <li>
 Good to have Expertise in solvers (e.g. Gurobi, CPLEX/ILOG, Hexaly) for MILP and Constraint-based optimization.
 </li>
 </ul>
 
 
 
 
 
 About the Department | Digital Process and Excellence (DPEx):
 
 
 
 Our digital transformation journey is led by the DPEx team and is structured along the lines of Digitalize the Core and Transform with Digital.
 
 
 With a mandate to ensure continuous process improvement and drive patient centric innovation, it spans all functions and operations. In other words, you could be working on projects to expedite research outcomes one day, designing customer engagement platforms the next and simplifying warehouse processes the third.
 
 
 
 
 
 Some its priorities are:
 
 <ul>
 <li>
 Reimagine Dr. Reddy&rsquo;s as a &lsquo;platform-based&rsquo; organization.
 </li>
 <li>
 Create Data as an asset that brings competitive advantage and business impact.
 </li>
 <li>
 Create Digital solutions that make the lives of our patients and customers easier and better.
 </li>
 </ul>
</div>

Lead Data Scientist - Forecasting & Supply Chain

<div>
 
 Introduction
 
 
 
 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
 
 
 
 <ul>
 <li>
 As a Quality Engineer/tester work with client and IBM stakeholders to identify various business controls for client and work with respective IBM and client to ensure successful implementation of controls identified.
 </li>
 <li>
 Your primary responsibilities include:
 </li>
 <li>
 Software Tester at AT&amp;T for BGW IOT - Microservices and Databricks; Production Support
 </li>
 <li>
 Analyze test specifications and convert them into Manual/Auto Test Cases.
 </li>
 <li>
 Identify the initial setup, input data, appropriate steps, and the expected response in the manual test cases.
 </li>
 <li>
 Conduct sanity testing of the application based on user requirements.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Hands-on experience on API testing using POSTMAN/SOAP-UI, ELT testing with Databricks and MySQL
 </li>
 <li>
 Expertise in Test management, data management, defect management and hands-on exp on Agile methodology including tools like JIRA, ADO, iTrack
 </li>
 <li>
 Sound knowledge on Telecom Domain and billing system.
 </li>
 <li>
 Hands-on experiences on handling production support especially the reporting system.
 </li>
 <li>
 Experience on Kubernetes for validation and analysis of logs/data
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Automation testing using TOSCA.
 </li>
 <li>
 Experience on writing complex SQL queries.
 </li>
 <li>
 Support, coordination, and responsibility of the testing activities across shores
 </li>
 </ul>
</div>

Quality Engineer-Functional

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

<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.
 
 
 
 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

Microsoft

<div>
 
 Be the voice behind the future&mdash;join us to build transformative speech technology for multilingual, intelligent experiences that reach billions.
 
 
 
 Microsoft is pioneering next-generation AI-driven speech solutions for voice agents, video translation, and call centre analytics.
 
 
 As a
 
 Senior Software Engineer
 
 in Microsoft&rsquo;s
 
 Azure Speech team
 
 , you will develop advanced customization infrastructure and data processing tools to finetune multilingual speech models, AOAI models, and multimodal generative AI powering real-time transcription, intelligent voice agents, and multilingual dubbing across Microsoft products and enterprise solutions. Your work will impact millions&mdash;enabling next-generation human&ndash;machine experiences for diverse markets, with a special focus on India.
 
 
 In this strategic role, you will have significant ownership on technical direction and drive innovation in scaling data processing, engineering efficiency and ease of AOAI customisation, and generative AI. You&rsquo;ll collaborate with top engineers and scientist and deliver breakthrough technologies for applications in voice agents, video translation, and call centre analytics.
 
 
 Based in
 
 Hyderabad
 
 , this on-site role offers opportunities to mentor, grow, and shape the future of multimodal interaction for Indian and global audiences.
 
 
 Microsoft&rsquo;s mission is to empower every person and organisation to achieve more. We embrace a growth mindset and encourage teams and leaders to bring their best.
 
 Join us to shape the future of speech and multimodal LLM technology.
 
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Deliver world-class and transformative engineering platforms for customizing Microsoft 1st party and 3rd party products and services.
 </li>
 <li>
 Set technical directions in model customization platforms and scalable data processing solutions for multilingual speech model, speech LLMs, and AOAI models.
 </li>
 <li>
 Build novel data solutions to synthesize complex speech scenarios and finetune models.
 </li>
 <li>
 Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions.
 </li>
 <li>
 Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts.
 </li>
 <li>
 Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture.
 </li>
 <li>
 Contribute to patents and publications at top-tier conferences and represent the team&rsquo;s technical leadership within and outside Microsoft.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 BS/MS/PhD Degree in CS/EE or related fields with focus in machine learning, AI, or speech technologies.
 </li>
 <li>
 8+ years&rsquo; experience in software development skills with deep expertise in designing, building, and deploying large-scale, production-grade AI systems.
 </li>
 <li>
 Demonstration of excellent problem-solving skills and proven track record of delivering impactful results and high-quality solutions in complex engineering environments.
 </li>
 <li>
 Strong programming skills in Python, C++ or similar languages, with experience in large-scale data processing and distributed computing.
 </li>
 <li>
 Effective communication skills, both verbal and written.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with speech/audio processing, multilingual model development, or voice agent technologies.
 </li>
 <li>
 Familiarity with Azure, cloud-based AI platforms, or enterprise-scale deployment of speech solutions.
 </li>
 <li>
 Contributions to open-source projects, patents, or publications in top-tier conferences/journals.
 </li>
 <li>
 Demonstrated leadership in driving technical direction, influencing cross-functional teams, and mentoring peers.
 
 
 </li>
 </ul>
 
 Inclusivity &amp; Compliance
 
 
 
 <ul>
 <li>
 Commitment to fostering an inclusive, growth-oriented team culture.
 </li>
 <li>
 Adherence to Microsoft&rsquo;s EEO and diversity guidelines.
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Software Engineer

Cubic Corporation

<div>
 
 Business Unit:
 
 
 
 Cubic Transportation Systems
 
 
 
 Company Details:
 
 
 
 When you join Cubic, you become part of a company that creates and delivers technology solutions in transportation to make people&rsquo;s lives easier by simplifying their daily journeys, and defense capabilities to help promote mission success and safety for those who serve their nation. Led by our talented teams around the world, Cubic is committed to solving global issues through innovation and service to our customers and partners.
 
 
 We have a top-tier portfolio of businesses, including Cubic Transportation Systems (CTS) and Cubic Defense (CD). Explore more on Cubic.com.
 
 
 
 Job Details:
 
 
 
 The
 
 Senior Operations
 
 
 Project Engineer
 
 is a hands-on technical leader responsible for ensuring the stability, reliability, and performance of Cubic&rsquo;s production systems. This role focuses on diagnosing and resolving complex software defects, configuration issues, and infrastructure challenges in live environments. As the engineering authority for assigned programs, the engineer will lead root cause analysis, drive corrective actions, and guide cross-functional teams to maintain operational excellence across mission-critical transportation systems.
 
 
 
 Key Responsibilities:
 
 
 
 
 Production Support &amp; Issue Resolution
 
 
 
 <ul>
 <li>
 Lead the investigation and resolution of high-impact production software defects and configuration issues.
 </li>
 <li>
 Perform deep-dive root cause analysis across application, infrastructure, and integration layers.
 </li>
 <li>
 Collaborate with development, QA, and operations teams to implement permanent fixes and preventive measures.
 </li>
 <li>
 Maintain system stability through proactive monitoring, tuning, and configuration management.
 
 
 
 </li>
 </ul>
 
 Technical Leadership
 
 
 
 <ul>
 <li>
 Own the technical baseline for system architecture, design, and configuration across the full lifecycle.
 </li>
 <li>
 Serve as the escalation point for complex technical issues affecting production environments.
 </li>
 <li>
 Guide junior engineers and support teams in troubleshooting and resolution techniques.
 </li>
 <li>
 Chair technical reviews and approve changes impacting live systems.
 
 
 
 </li>
 </ul>
 
 Operational Excellence
 
 
 
 <ul>
 <li>
 Ensure systems meet performance, availability, and supportability targets.
 </li>
 <li>
 Develop and maintain operational documentation, including runbooks, configuration guides, and incident response procedures.
 </li>
 <li>
 Lead post-incident reviews and drive continuous improvement in support processes.
 </li>
 <li>
 Interface with customers and vendors to resolve escalated issues and align on technical solutions.
 
 
 
 </li>
 </ul>
 
 Project &amp; Change Management
 
 
 
 <ul>
 <li>
 Support deployment planning and execution, ensuring readiness and rollback strategies are in place.
 </li>
 <li>
 Participate in change control boards and release planning to assess operational impact.
 </li>
 <li>
 Contribute to proposal efforts by estimating support and maintenance requirements for new solutions.
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Systems Engineering, Computer Science, Electrical Engineering, or related field.
 </li>
 <li>
 12+ years of experience in systems engineering, with a strong focus on production support and defect resolution.
 </li>
 <li>
 Proven expertise in diagnosing and resolving complex software and infrastructure issues in live environments.
 </li>
 <li>
 Experience with monitoring tools, log analysis, and performance tuning.
 </li>
 <li>
 Familiarity with configuration management systems and CI/CD pipelines.
 </li>
 <li>
 Strong communication skills and ability to work under pressure in fast-paced operational settings.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience in transportation, defense, or other regulated industries.
 </li>
 <li>
 Knowledge of ITIL incident, problem, and change management processes.
 </li>
 <li>
 Familiarity with tools such as DOORS, EPDM, and All Change.
 </li>
 <li>
 Experience with high-availability architectures and disaster recovery planning.
 
 
 
 </li>
 </ul>
 
 Worker Type:
 
 
 
 Employee
</div>

Senior Operations Project Engineer

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

Explore 116+ Deep learning engineer in Hyderabad India this November. Find roles across top companies and apply now to boost your career.