ml engineer

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
 <li>
 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Data Scientist

Teradata

<div>
 
 Our Company:
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What you will do:
 
 
 
 In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, test, deploy, and maintain Python-based SDKs and libraries that integrate with the Teradata Vantage platform and related AI ecosystems.
 </li>
 <li>
 Build high-quality, modular, and reusable Python packages that expose APIs and connectors for internal and external use.
 </li>
 <li>
 Collaborate with AI and platform teams to integrate LLM and agentic capabilities (e. g. , LangChain, LangGraph, or Model Context Protocol integrations) into existing Python packages.
 </li>
 <li>
 Ensure seamless interoperability between the Python packages and cloud-native services (AWS, GCP, Azure) and Teradata components.
 </li>
 <li>
 Develop tools, utilities, and abstractions to simplify data access, orchestration, and intelligent context sharing across applications.
 </li>
 <li>
 Write comprehensive unit and integration tests, participate in peer code reviews, and ensure adherence to coding best practices.
 </li>
 <li>
 Troubleshoot issues, optimize performance, and contribute to the design of scalable, maintainable distributed systems.
 </li>
 <li>
 Collaborate closely with cross-functional teams &mdash; AI engineers, data scientists, and platform engineers &mdash; in an Agile, fast-paced environment.
 </li>
 <li>
 Document design, API interfaces, and usage examples to enable broad adoption and developer productivity.
 </li>
 <li>
 Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP).
 
 
 </li>
 </ul>
 
 What makes you a qualified candidate:
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications.
 </li>
 <li>
 Strong interest in Agentic AI &mdash; systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes.
 </li>
 <li>
 Familiarity with one or more programming languages: Python (preferred), Go, Java, or C++.
 </li>
 <li>
 Familiarity with MCP, OpenAI, Hugging Face, Claude, LangChain, VectorDatabase is a plus.
 </li>
 <li>
 Basic understanding of how to use AI tools to solve complex tasks.
 </li>
 <li>
 Experience with RESTful APIs, backend service design, and microservice architectures.
 </li>
 <li>
 Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications.
 </li>
 <li>
 Ability to write clean, testable code and follow best practices in code reviews and version control.
 </li>
 <li>
 Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams.
 </li>
 <li>
 Passion for learning emerging AI techniques and contributing to real-world agentic applications.
 
 
 </li>
 </ul>
 
 What you will bring:
 
 
 
 <ul>
 <li>
 BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field.
 </li>
 <li>
 Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming.
 </li>
 <li>
 Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker.
 </li>
 <li>
 Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools is a plus.
 </li>
 <li>
 Hands-on experience or familiarity with Model Context Protocol (MCP) for agent context management is a plus.
 </li>
 <li>
 Hands-on experience or working knowledge of cloud-native deployment and orchestration on CSP platforms.
 </li>
 <li>
 Curiosity and excitement about building intelligent systems that act autonomously and adaptively.
 </li>
 <li>
 A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities.
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software Engineer

LTIMindtree

<div>
 
 Role : Senior Python Developer
 
 
 Job Location : Hyderabad
 
 
 Notice : Immediate Joiners
 
 
 Skill : Python
 
 
 
 
 
 
 
 Job Description
 
 
 :
 
 
 
 
 
 We are seeking an experienced
 
 Senior Python Developer
 
 to support our banking technology and
 
 Generative AI initiatives
 
 . This role involves building secure, scalable applications and advanced AI-driven solutions for critical document processing, risk analytics, and compliance reporting.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop object-oriented applications using
 
 Python
 
 with expert-level software engineering practices.
 </li>
 <li>
 Work with
 
 Vector Databases
 
 for embedding storage and retrieval optimization.
 </li>
 <li>
 Design and implement
 
 GenAI lifecycle management
 
 and
 
 RAG pipelines
 
 (chunking, embedding, retrieval, re-ranking, summarization) for banking use cases.
 </li>
 <li>
 Evaluate and test
 
 embedding models
 
 and frameworks for performance, latency, memory, and cost optimization.
 </li>
 <li>
 Apply
 
 prompt engineering
 
 , hallucination mitigation, and grounding techniques for AI solutions.
 </li>
 <li>
 Build API-driven applications using
 
 FastAPI
 
 ,
 
 API Gateway
 
 , and integrate with
 
 MongoDB
 
 ,
 
 Redis
 
 , and front-end frameworks (
 
 Angular/React
 
 ).
 </li>
 <li>
 Develop
 
 utilities, automation frameworks
 
 , and
 
 data pipelines
 
 to support AI/ML and GenAI initiatives.
 </li>
 <li>
 Create
 
 monitoring dashboards
 
 and automation scripts for system health and performance.
 </li>
 <li>
 Collaborate with
 
 DevOps teams
 
 using enterprise tools (
 
 Git/Bitbucket
 
 ,
 
 Jenkins
 
 ,
 
 SonarQube
 
 ,
 
 Artifactory
 
 ,
 
 Ansible
 
 ).
 </li>
 <li>
 Work with large cross-functional teams to deliver secure, compliant, and scalable solutions.
 </li>
 <li>
 Explore
 
 Agentic architectures
 
 for orchestration and multi-step reasoning in AI workflows.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 Primary Skill:
 
 Python
 </li>
 <li>
 
 Secondary Skills:
 
 Vector DB, Django, Flask, FastAPI
 </li>
 <li>
 
 5+ years
 
 of experience in object-oriented programming using
 
 Python
 
 with strong software development skills.
 </li>
 <li>
 Deep experience in
 
 GenAI lifecycle management
 
 and
 
 RAG pipelines
 
 .
 </li>
 <li>
 Expertise in
 
 prompt engineering
 
 and AI safety techniques.
 </li>
 <li>
 Hands-on experience with
 
 MongoDB
 
 ,
 
 Redis
 
 ,
 
 FastAPI
 
 , containerization (Docker/Kubernetes), and API integrations.
 </li>
 <li>
 Strong knowledge of
 
 model testing and evaluation frameworks
 
 for performance and reliability.
 </li>
 <li>
 Solid understanding of
 
 DevOps practices
 
 and enterprise tooling.
 </li>
 <li>
 Ability to work effectively with large cross-functional teams in a regulated environment.
 </li>
 </ul>
 
 
 Preferred (Desired) Skills
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure) and serverless architectures.
 </li>
 <li>
 Knowledge of Agentic architectures and orchestration frameworks.
 </li>
 </ul>
 
 Exposure to AI/ML use cases in regulatory relations or risk analytics.
 
</div>

Python Developer

Sutherland

<div>
 
 Interested suitable candidates please be in touch with priti.kumari@sutherlandglobal.com
 
 
 
 
 
 Detailed Job Description:
 
 
 
 
 
 Excellent communication
 
 
 Exp-6+ years
 
 
 Location- Mumbai/Hyderabad/Bangalore/Chennai/Bhopal
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain RESTful and GraphQL APIs to support scalable, high-performance applications.
 </li>
 <li>
 Collaborate with data engineers and developers to create seamless integrations between APIs, data pipelines, and web applications.
 </li>
 <li>
 Build and maintain applications using frameworks like Java Spring Boot, Hibernate, Python Fast API, and ReactJS.
 </li>
 <li>
 Ensure system scalability, security, and reliability by implementing best practices in multi-threading, concurrency, and microservices architecture.
 </li>
 <li>
 Drive architectural decisions to optimize performance across application, data, and infrastructure domains.
 </li>
 <li>
 Develop and deploy solutions on Azure, utilizing tools like SQL Server, Redis, App Services, and API Management.
 </li>
 <li>
 Create and maintain test automation frameworks to ensure data quality and service reliability.
 </li>
 <li>
 Mentor junior engineers and foster a collaborative team environment.
 </li>
 </ul>
 
 
 Job Qualifications
 
 
 
 
 
 
 
 Essential Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer engineering, Computer Science or related discipline, Master&rsquo;s Degree preferred
 </li>
 <li>
 7+ years of software development experience in Big Data
 </li>
 <li>
 7+ years of experience in modern programming languages - Java, Java-based frameworks (Spring, Maven), Python API
 </li>
 <li>
 3+ Years of experience in application, data, and infrastructure architecture disciplines
 </li>
 <li>
 3+ years of experience with multi-threading, concurrency, and highly scalable Microservices and REST web Services
 </li>
 <li>
 Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
 </li>
 <li>
 Extensive experience with message driven software patterns such as Service Bus, Kafka, Tibco, EMS, and MQ
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience working with other public cloud technologies Azure, AWS, GCP
 </li>
 <li>
 Strong communication skills to effectively present complex technical solutions to business and technical stakeholders.
 </li>
 <li>
 Experience in scripting languages (e.g., JavaScript, PowerShell, shell scripting, Regex).
 </li>
 <li>
 Experience building and supporting AL/ML software solutions
 </li>
 </ul>
 
 Prior experience in the Life Sciences industry or working with data and analytics in a similar
 
 
 
</div>

Capgemini

<div>
 
 Job Description
 
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
 
 
 <ul>
 <li>
 Applies scientific methods to analyse and solve software engineering problems.
 </li>
 <li>
 He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
 </li>
 <li>
 His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
 </li>
 <li>
 The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
 </li>
 <li>
 The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Microsoft

<div>
 
 Overview
 
 
 
 Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.
 
 
 Microsoft 365 Copilot Chat is the conversational core of Microsoft Copilot &mdash;where enterprise AI meets productivity. It&rsquo;s the default interface through which users summarize meetings, draft emails, generate insights from enterprise data, and coordinate with teams using natural language. As Microsoft accelerates its AI-first strategy, Chat isn&rsquo;t just a feature&mdash;it&rsquo;s the gateway. It&rsquo;s the most visible and critical surface for AI-powered work.
 
 
 As a
 
 Senior Software Engineer
 
 , you will design and deliver next-generation conversational experiences for Microsoft 365 Copilot Chat. Your mission is to accelerate delivery by shaping engineering systems that enable rapid iteration, continuous deployment, and resilient live-site operations. You&rsquo;ll build frameworks for experimentation, automate release and monitoring processes, and embed AI-driven solutions to optimize workflows and elevate user experience. This role demands a strong balance of speed and reliability, ensuring seamless performance at global scale while collaborating with seasoned engineers and leaders for a product that is at the epicenter of Microsoft.
 
 
 
 What Makes This Role Unique
 
 
 
 Impact at Scale: Contribute to one of Microsoft&rsquo;s most visible AI-powered experiences used by millions globally.
 
 
 Engineering Systems Focus: Improve release systems, experimentation platforms, and live-site reliability for a flagship product.
 
 
 AI-Driven Innovation: Apply cutting-edge AI to transform development workflows and user experiences.
 
 
 Cross-Disciplinary Collaboration: Work closely with UX, AI, and platform teams to deliver breakthrough experiences.
 
 
 Balance Speed &amp; Reliability: Enable rapid iteration without compromising trust and performance
 
 
 
 How We Work
 
 
 
 Customer-obsessed &amp; data-informed: We form bold hypotheses, ship safely, measure rigorously, and iterate.
 
 
 Fundamentals at the core: We invest in building solid foundation that enables teams to build and ship innovation.
 
 
 Engineering excellence: We invest in tests, telemetry, agentic coding enablement, and continuous hardening to earn the right to go faster.
 
 
 Inclusive at our core: We welcome diverse perspectives and design accessible experiences for a global audience.
 
 
 Outcomes over output: We celebrate learning and hold ourselves accountable to business and customer impact
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI). Design and implement frameworks for experimentation and data-driven analysis.
 </li>
 <li>
 Enhance engineering systems for rapid iteration and continuous deployment.
 </li>
 <li>
 Leverage subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
 </li>
 <li>
 Automate development workflows, release pipelines, and live-site operations. Integrate AI-driven solutions to optimize developer workflows and improve UX.
 </li>
 <li>
 Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiate actions to restore system/product/service for simple and complex problems when appropriate.
 </li>
 <li>
 Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Technical Skills: Expertise in CI/CD, infrastructure-as-code, release management, telemetry, and monitoring.
 </li>
 <li>
 Familiarity with AI/ML concepts and experience applying them to user-facing features or developer workflows.
 </li>
 <li>
 Proven track record of building resilient systems with measurable performance metrics.
 </li>
 <li>
 Soft Skills: Problem-solving ability, passion for user-centric design, and collaboration across teams.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 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:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Proficiency in modern web/app development (React, TypeScript).
 </li>
 <li>
 Security, compliance, privacy‑by‑design mindset; experience with cost‑aware engineering.
 </li>
 <li>
 Solid collaborator with PM and design; communicates clearly with both technical and non-technical audiences.
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Software Engineer

<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 an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 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.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour&rsquo;s.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

Explore 16+ Ml engineer in Hyderabad India this January. Find roles across top companies and apply now to boost your career.

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Data Scientist-Advanced Analytics