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10 - 14 years
15 - 20 Lacs
Bengaluru
Work from Office
Skill required: NA - Business Transformation Designation: Business Transformation Assoc Manager Qualifications: BE/BCom/Any Graduation Years of Experience: 10 to 14 years Language - Ability: English - Expert What would you do? In this role you are required to do analysis and solving of moderately complex problems. Identify process risks & conduct regular forecast vs incoming vs completion analysis. The person would require understanding of the strategic direction set by senior management as it relates to team goals Daily staffing planning and management of SLA's & KPI's Ensure weekly basis highs and lows are highlighted and zero surprise framework implemented. Drive process improvements and ideation and probable automation opportunity Manage quality, controls, risk & compliance aspect for the deal Plan & coordinate requirements of scheduling, training, recruitment, Capacity & Seat Utilization etc Deliver Transitions smoothly Ensure data management governance is followed Review of MI, analysis, and improvement plans Six Sigma Black Belt Certified from renowned organizations/certification body (ASQ, Benchmark Six Sigma, ISI, KPMG etc.) which includes experience in identifying & leading Kaizen or Lean (Mandatory) 12-18 years of Business Transformation/Excellence experience in Life & Annuities Client Services/ Group Retirements/Individual Retirements serving clients across shared services/Third Party BPO service providers (Mandatory) Hands-on experience in identification of RPA, Analytics & AIML opportunities and project execution (Mandatory) Exposure to ISO , CMMi Level 5 CVC and other Quality Standards (Mandatory) Understanding of E2E Life Insurance cycle & Retirements (Benefit Administration - Direct Benefits and Contributions)In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for? Business Transformation Data Visualization Process Innovation Problem Solving Risk Management Certifications: Six Sigma-Black Belt - Six Sigma; LOMA - ALMI - LOMA Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification BE,BCom,Any Graduation
Posted 3 months ago
8 - 13 years
40 - 45 Lacs
Hyderabad
Work from Office
Translate business requirements into intuitive software solutions Own work items across User Story(s) and complete them. Resolve technical issues for the team and coach junior members to scale up on technology, design and implementation approaches. Participate within an Agile (Scrum) development team Collaborate with fellow software developers across geographic locations primarily the US. Participate in technical design discussion and hands-on solution implementation Document technical issues and resolutions identified during implementation of user story(s), resolving configuration and deployment issues and share them with the team. Keep a critical eye on new design specifications and raise quality, performance or architectural concerns Mentor other developers with a constructive, results oriented technical approach Qualifications and Skills 4 - 7 years of Software development experience with Java At least 2 years of experience of Software development experience with Python Experience with Django or FastAPI is a plus Should have experience working with front-end libraries and frameworks such as React or Angular. Should have a good understanding of multithreading and asynchronous methods of code execution Professional experience using JavaScript based libraries or frameworks, HTML and CSS Experience working with an RDBMS as a Software Developer, such as MySQL, Oracle or SQL Server Experience working with source control management software such as Git and TFS Experience working with ALM tools such as Azure Devops (formerly VSTS) or Jira Experience on AI/ML is a big plus. High energy, proactive and approachable personality who enjoys solving diverse problems Proven problem-solving abilities and creative thinking Ability to positively interact with all members of development team and product teams Thorough understanding of object-oriented development theory Self-starter capable of working on small teams in a fast-paced environment Knowledge of concurrent programming challenges: multi-threading, race conditions, deadlock, semaphores, etc. B.Tech or B.E degree in Computer Science or related engineering streams/ M.S. in Computer Scienc
Posted 3 months ago
8 - 13 years
25 - 30 Lacs
Hyderabad
Work from Office
Translate business requirements into intuitive software solutions Own work items across User Story(s) and complete them. Resolve technical issues for the team and coach junior members to scale up on technology, design and implementation approaches. Participate within an Agile (Scrum) development team Collaborate with fellow software developers across geographic locations primarily the US. Participate in technical design discussion and hands-on solution implementation Document technical issues and resolutions identified during implementation of user story(s), resolving configuration and deployment issues and share them with the team. Keep a critical eye on new design specifications and raise quality, performance or architectural concerns Mentor other developers with a constructive, results oriented technical approach Qualifications and Skills 4 - 7 years of Software development experience with Java At least 2 years of experience of Software development experience with Python Experience with Django or FastAPI is a plus Should have experience working with front-end libraries and frameworks such as React or Angular. Should have a good understanding of multithreading and asynchronous methods of code execution Professional experience using JavaScript based libraries or frameworks, HTML and CSS Experience working with an RDBMS as a Software Developer, such as MySQL, Oracle or SQL Server Experience working with source control management software such as Git and TFS Experience working with ALM tools such as Azure Devops (formerly VSTS) or Jira Experience on AI/ML is a big plus. High energy, proactive and approachable personality who enjoys solving diverse problems Proven problem-solving abilities and creative thinking Ability to positively interact with all members of development team and product teams Thorough understanding of object-oriented development theory Self-starter capable of working on small teams in a fast-paced environment Knowledge of concurrent programming challenges: multi-threading, race conditions, deadlock, semaphores, etc. B.Tech or B.E degree in Computer Science or related engineering streams/ M.S. in Computer Science
Posted 3 months ago
10 - 20 years
16 - 31 Lacs
Chennai, Pune, Bengaluru
Work from Office
Architecture & Solution Design: Define and develop the overall enterprise architecture for AI-based supply chain software solutions. Design scalable, secure, and high-performance system architectures that integrate AI, data analytics, and automation. Ensure alignment of technology architecture with business objectives and digital transformation goals . Drive cloud-based (AWS, Azure, GCP) architecture strategies and ensure optimal infrastructure scalability. Develop integration frameworks to connect ERP, WMS, TMS, IoT, and other supply chain systems . Resource Planning & Budgeting: Define and manage the technology resource plan , including infrastructure, cloud services, and software licenses. Estimate and track project budgets for system architecture, software development, and AI/ML implementations. Ensure cost-effective cloud infrastructure use ( AWS, Azure, GCP ) and recommend cost optimization strategies . Forecast and manage resource allocation , ensuring the right skills and capacity are available for project execution. Work with finance teams to align IT budgets with business objectives , ensuring maximum ROI. AI & Data Strategy: Define the strategy for incorporating AI/ML models into supply chain planning, forecasting, and optimization. Work closely with data scientists to design and implement AI/ML pipelines. Ensure data governance, quality, and security across distributed systems. Develop predictive models for demand forecasting, inventory management, and logistics optimization . Technology Leadership & Execution: Collaborate with product management, software development, and data teams to define technical roadmaps. Establish best practices for software development, microservices architecture, DevOps, and CI/CD pipelines . Drive modular and API-driven architecture for seamless integrations with third-party platforms. Evaluate emerging technologies (AI, Blockchain, IoT, Digital Twins) and recommend adoption strategies. Stakeholder & Team Collaboration: Act as a bridge between business and technology teams , ensuring alignment on technical decisions. Work closely with clients, partners, and vendors to define system requirements and architecture. Provide architectural guidance to development teams , ensuring adherence to standards. Lead architecture governance, ensuring compliance with security, performance, and regulatory requirements . Performance Optimization & Risk Management: Identify and mitigate technology risks , ensuring system reliability and fault tolerance. Optimize system performance, ensuring high availability and resilience. Develop disaster recovery and business continuity strategies . Required Qualifications: Bachelor's/masters degree in computer science, Information Systems, or a related field . 10+ years of experience in enterprise or system architecture, with a focus on supply chain software solutions. Expertise in AI/ML, cloud computing, big data, and enterprise integration frameworks . Strong experience in microservices, event-driven architecture, and API development . Hands-on experience with ERP, WMS, TMS, and supply chain management platforms . Knowledge of DevOps, CI/CD, containerization (Docker, Kubernetes) . Proficiency in programming languages like Python, Java, or Node.js . Familiarity with AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn . Strong analytical and problem-solving skills. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications: Experience in digital transformation initiatives within supply chain operations. Certification in TOGAF, AWS Solutions Architect, or similar enterprise architecture frameworks . Exposure to blockchain, IoT, and digital twin solutions for supply chain optimization. Role & responsibilities Preferred candidate profile Perks and benefits
Posted 3 months ago
10 - 18 years
35 - 55 Lacs
Kolkata
Work from Office
We are seeking a highly experienced Product Manager to join our dynamic team in Ahmedabad/ Kolkata. The ideal candidate will have 10-12 years of experience and a proven track record of success in a product-based company. As a Senior Product Manager, you will be responsible for driving the development and execution of AI/ML products and will play a key role in defining the product roadmap, strategy, and vision. This is an exciting opportunity to lead innovative AI initiatives and contribute to the growth and success of our organization. Experience: 10-12 years of experience in the Product domain Experience of developing AI based enterprise solutions would be an added advantage Roles and Responsibilities: Lead the development and execution of AI/ML products, from concept to launch Define the product roadmap, strategy, and vision based on market trends, customer needs, and business goals Collaborate with cross-functional teams including engineering, design, data science, and marketing to drive product development Conduct market research and competitive analysis to identify new opportunities and enhance existing products Manage the product lifecycle, including planning, prioritization, and feature definition Measure and evaluate product performances, user behavior, Customer Satisfaction using qualitative and quantitative methods. Communicate product vision and priorities to stakeholders, team members, and executives Drive product performance analysis and make data-driven decisions to optimize product features and user experience Work closely with customers to gather feedback, understand requirements, and address product issues Stay updated on AI industry trends, technologies, and best practices to drive innovation and maintain competitive advantage Provide leadership and mentorship to junior product team members Education Qualification: Bachelors or master’s degree in computer science, Artificial Intelligence, or related field Master’s in business administration would be an added advantage Certification Required: Professional certifications in Product Management, AI/ML, or related areas (preferred) Behavioral Skills: Excellent leadership and communication skills Strong problem-solving and decision-making abilities Adaptability, creativity, and a passion for innovation Technical Skills: Good understanding of Artificial Intelligence and Machine Learning principles Experience with AI/ML tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, AWS Sagemaker) Familiarity in data analysis, statistical modeling, and predictive analytics Familiarity with Agile development methodologies and product management tools Knowledge of software development lifecycle and engineering processes Conclusion: At Adani, we are committed to fostering a diverse and inclusive work environment where talented individuals can thrive and grow. This role offers the opportunity to make a significant impact in the AI industry and contribute to the advancement of cutting-edge technologies. If you are a visionary Senior Product Manager with a passion for AI innovation, we encourage you to join our team and be part of our exciting journey.
Posted 3 months ago
5 - 10 years
13 - 17 Lacs
Bengaluru
Work from Office
Job Title - Sales Ex- COE - Client Success AI Engineer Management Level : ML09 Location: Open Must have skills: Generative AI skills leveraging LLMs, Natural language processing techniques, Data visualization tools such as Power BI or QlikSense Good to have skills: Experience with survey data analysis using Qualtrics tools. Job Summary : Sales Excellence. Sales Excellence at Accenture empowers our people to compete, win and grow. We provide everything they need to grow their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. The team will be aligned to the Client Success, which is a new function to support Accentures approach to putting client value and client experience at the heart of everything we do to foster client love. Our ambition is that every client loves working with Accenture and believes were the ideal partner to help them create and realize their vision for the future- beyond their expectations. You are: An experienced AI Engineer with a flair for leveraging AI/ML for business innovation. You enjoy driving business innovation through the strategic implementation of cutting-edge technologies. You specialize in developing and deploying automation solutions using Azure, GCP enabling organizations to scale operations efficiently. Leveraging generative AI, you transform unstructured data into actionable insights, facilitating informed decision-making and positioning businesses at the forefront of technological advancement. The work: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability. You will build models and tools that help business leaders to automate and innovate business processes or operations leveraging GenAI. You will work closely with business to identify GenAI use cases and ML opportunities. You will also contribute to generating actionable insights and user-friendly solutions based on unstructured data. You will manage access to these tools and monitoring their usage. Roles & Responsibilities: Design and deploy automation strategies to optimize operational efficiency. Develop and implement AI solutions to address business challenges and enhance innovation. Assist with AI/ML predictive analytics using tools such as Python, nodejs. Utilize generative AI techniques to process and extract insights from unstructured data. Collaborate with cross-functional teams to integrate AI technologies into existing systems. Stay abreast of industry trends and emerging technologies to drive continuous improvement. Evaluate and test AI models, ensuring their effectiveness in delivering desired outcomes. Contribute to the scalability of operations through the application of advanced AI methodologies. Participate in the full AI development lifecycle, from concept to deployment. Collaborate with stakeholders to understand business requirements and align AI solutions with organizational goals. Continuously assess and refine AI models to adapt to evolving business needs. Professional & Technical Skills: Bachelors degree or equivalent experience. At least 3 years of professional experience in AI/ML including: - Generative AI skills leveraging LLMs - Natural language processing techniques - Machine learning or deep learning algorithms - Data visualization tools such as Power BI or QlikSense Hands-on expertise in coding Python and SQL. Strong communication skills in both oral and written English. Excellent time management and organizational skills. Proficiency in project management. Strong business acumen and attention to detail. Additional Information: Master or doctoral degree in Computer Science or a similar field. Experience with survey data analysis using Qualtrics tools. Experience with Sales, Marketing, Pricing, or Finance data. Working knowledge of Salesforce Einstein Analytics. Experience working with Power Apps. Qualifications Experience: Minimum 5 year(s) of experience is required Educational Qualification: Graduate/Post graduate/ Master or doctoral degree in Computer Science or a similar field.
Posted 3 months ago
14 - 20 years
25 - 35 Lacs
Bengaluru
Work from Office
Role: Senior Manager Exp: 14+ years Salary: Maxi 35LPA Location: Bangalore Must Have: Digital transformation, Solution Design, Retail Banking, Insurance Domain, presales. Good to Have: RPA, AI. Notice Period: Imm to 30 days
Posted 3 months ago
3 - 8 years
9 - 15 Lacs
Navi Mumbai, Thane, Mumbai (All Areas)
Work from Office
We are hiring for one of our renowned Insurance Client! Position: Enterprise Architect Experience: 3+ years Insurance / Banking Industry experience is mandatory Location: Thane 5 days working, Work from Office Requirements: IT App Development, TOGAF, API Integration Cloud: AWS, Azure or GCP AI, ML, Blockchain, Data Analytics If you are interested, please share your resume to simran.dudani@hipotz.com
Posted 3 months ago
10 - 20 years
35 - 100 Lacs
Pune, Delhi NCR, Ahmedabad
Work from Office
- Develop and deploy AI/ML models. - Analyze and preprocess large datasets. - Optimize deep learning & NLP models. - Build algorithms. - Use cloud platforms (AWS, Azure, GCP). - Ensure model performance & scalability. Required Candidate profile AI/ML, Rasa, Computer Vision, Python, PyTorch, NLP, Audio AI. 4 to 7 years experience. 7-15 LPA. Ahmedabad, Pune, Delhi/NCR, Mumbai. Computer Vision, Python, PyTorch experience
Posted 3 months ago
3 - 5 years
5 - 10 Lacs
Bengaluru
Work from Office
Description: 3-4 Years of experience in Java with AI/ML. This position is for the BommiLab AI initiatives. Strong understanding of core Java concepts and experience with Java EE frameworks (e.g., Spring, Hibernate). Basic knowledge of scripting languages (e.g., Python or JavaScript) for automation tasks. Understanding of basic machine learning concepts and experience with relevant libraries,Strong analytical skills to troubleshoot issues effectively Requirements: Requirements 3-4 Years of experience in Java with AI/ML. Strong understanding of core Java concepts and experience with Java EE frameworks (e.g., Spring, Hibernate). Basic knowledge of scripting languages (e.g., Python or JavaScript) for automation tasks. Understanding of basic machine learning concepts and experience with relevant libraries,Strong analytical skills to troubleshoot issues effectively Job Responsibilities: 3-4 Years of experience in Java with AI/ML. This position is for the BommiLab AI initiatives. Strong understanding of core Java concepts and experience with Java EE frameworks (e.g., Spring, Hibernate). Basic knowledge of scripting languages (e.g., Python or JavaScript) for automation tasks. Understanding of basic machine learning concepts and experience with relevant libraries,Strong analytical skills to troubleshoot issues effectively What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
Posted 3 months ago
2 - 5 years
12 - 17 Lacs
Pune
Hybrid
When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose Join the Ansys Customer Excellence (ACE) team to support our customers in a new and innovative way. The landscape of customer support and learning experience is fast changing, and you will be at the forefront of this change focusing on developing and deploying solutions for our customers. The ACE team is in continuous pursuit of operating with utmost efficiency and identifies AI as one of the new paradigm shifts. In this role, you will use your engineering knowledge and the power of GenAI to streamline and accelerate AI transformation of technical support and learning and development within the ACE team. You will be a part of our positive, dynamic team of enthusiastic and passionate engineers striving to deliver the highest quality solutions to our customers, advancing your knowledge, experience, and impact on the success of our customers and Ansys. Key Duties and Responsibilities Apply engineering expertise and knowledge of simulation techniques to develop knowledge data related to Ansys Electronics products that can be consumed by Large Language Models (LLMs). Identify gaps in existing knowledge and work with multiple subject matter experts to fill these gaps. Work with internal & external databases to develop data pipelines for developing AI models. Develop technical expertise in both Ansys Electronics products and state-of-the-art GenAI technologies that are appropriate for technical support, learning and development. Follow legal and enterprise level data governance policies while handling any data. Fully document all data workflows developed towards AI powered applications and present them to the Data audit teams. Participate in other strategic team and company initiatives, as needed. Be agile and open to new responsibilities. This is a very fast paced role requiring a try often, fail fast kind of mindset. Minimum Education/Certification Requirements and Experience Bachelors degree in Electrical Engineering or related field. Required minimum years of professional experience in an engineering software environment: BS+3. Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages. Logical problem-solving, strong interpersonal and communication skills, fluent in writing and speaking English. Strong organizational and time management skills, possesses a sense of urgency. Preferred Qualifications and Skills Preferred education and years of professional experience in an engineering software environment: MS+1. Knowledge of the use of Ansys Electronics products (such as HFSS / Maxwell) or other commercial or in-house thermal simulation codes is a plus. Proficiency in Python scripting and knowledge of the basics of machine learning would be a plus. Ability to work independently with minimal supervision, as well as with others in a diverse team environment. Demonstrated ability to manage multiple projects and to communicate effectively. Ability to travel domestically up to 10% of the time. At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential in the knowledge that every day is an opportunity to observe, teach, inspire, and be inspired. Together as One Ansys, we are powering innovation that drives human advancement. Our Commitments: Amaze with innovative products and solutions Make our customers incredibly successful Act with integrity Ensure employees thrive and shareholders prosper Our Values: Adaptability: Be open, welcome what's next Courage: Be courageous, move forward passionately Generosity: Be generous, share, listen, serve Authenticity: Be you, make us stronger Our Actions: We commit to audacious goals We work seamlessly as a team We demonstrate mastery We deliver outstanding results OUR ONE ANSYS CULTURE HAS INCLUSION AT ITS CORE We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive. At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it's about the learning, the discovery, and the collaboration. It's about what is next as much as the mission accomplished. And it's about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics. CREATING A PLACE WE'RE PROUD TO BE Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Americas Most Loved Workplaces, Gold Stevie Award Winner, Americas Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, U.K.). For more information, please visit us at www.ansys.com Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.
Posted 3 months ago
2 - 7 years
4 - 9 Lacs
Hyderabad
Work from Office
Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. We provide the Core OS and Platform for original equipment manufacturers (OEMs) and developers to build compelling mobile computing devices (smartphones, tablets etc.) that run the best apps/services for everyone in the world. For this role we are seeking a talented and motivated Software Engineer with expertise in operating systems, android frameworks and linux kernel. The candidate will have opportunities to work on wide range of features across the Android Stack and Linux kernel Develop end to end solutions involving both user space and kernel space with optimal resource usage adhering to Android framework, Linux system & kernel programing principles. Collaborate with systems, multimedia, architecture, and other teams to develop system-level software solutions Exp:3-5 years. - Excellent knowledge of OS fundamentals, data structure, Linux kernel and the device driver model - Hands on experience in Java, C++ Libraries/JNI, Python coding - Hands on experience with Android Application Framework, Android native daemons/services, AIDL HALs - Hands on experience with system programming on any Linux/Unix OS - Hands on experience in debugging with T32, gdb and crash analysis using android tombstones, T32, crash utility etc., - Experience in Git, Android Make, Android Tools, Android Studio, Adb. - Experience in developing linux kernel drivers & modifying kernel code is a plus - Knowledge on usage of AI models, familiarity with python for AI/ML related software development is a plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.
Posted 3 months ago
7 - 10 years
9 - 12 Lacs
Chennai
Work from Office
Job Title:AI/RPA Solution Architect About The Role :: We are seeking a highly skilled and experienced AI/RPA Solution Architect to join our Automation team. The ideal candidate will possess a robust background in AI technologies and extensive experience in RPA solutions. This role demands a deep understanding of AI/ML, NLP, and RPA tools, with a focus on delivering innovative solutions to our clients. Key Responsibilities: Solution Design: Architect and implement AI and RPA solutions tailored to meet specific business needs, ensuring scalability and efficiency. Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to seamlessly integrate AI/ML models and RPA workflows. Model Development: Develop and maintain scalable AI/ML models using Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, NLTK, and spaCy. RPA Leadership: Lead the architecture and development of RPA solutions using Automation Anywhere (AA 360) and Power Platform, ensuring robust and efficient automation processes. Best Practices: Ensure adherence to best practices in AI/ML and RPA development, including code quality, testing, and documentation. Mentorship: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement. Innovation: Stay abreast of the latest advancements in AI and RPA technologies, and proactively incorporate new tools and methodologies to enhance solution offerings. Requirements: Experience: 7-10 years of experience in implementing AI and RPA technologies Technical Skills: Must Have 1. Well versed in Microsoft Stack i.e. Azure ML/Cognitive Services, AI Builder etc. 2. Proficiency in Python and its libraries for AI/ML and NLP tasks (e.g., TensorFlow, PyTorch, scikit-learn, NLTK, spaCy) RPA Tools: Extensive experience with RPA tools, specifically Automation Anywhere (AA 360) and Power Automate Problem-Solving: Strong problem-solving skills and the ability to thrive in a fast-paced environment Communication: Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders Education: A masters degree and/or degree in Computer Science, Engineering, or a related field is preferred Preferred Qualifications: Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML models. Additional Languages: Knowledge of other programming languages such as HTML, CSS, JavaScript, and C#. Certifications: Certification in AI/ML or RPA technologies. Tools and Technologies: Familiarity with additional tools and technologies such as Docker, Kubernetes, Jenkins, Git, and CI/CD pipelines for streamlined development and deployment processes.
Posted 3 months ago
2 - 5 years
3 - 7 Lacs
Bengaluru
Work from Office
1. Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. 2. Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems. 3. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. 4. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. 5. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. 6. Communicate technical concepts effectively to non-technical stakeholders, demonstrating excellent communication and interpersonal skills. 7. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. 8. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 1. Programming Proficiency: Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. 2. Data Handling Skills: Skilled in integrating, cleansing, and shaping data. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. 3. DevOps Experience: Experienced in DevOps practices. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). 4. Open-Source Contribution: Open-source Contribution is a plus. Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. 5. Problem-Solving Skills: Strong problem-solving and analytical skills. Experience in optimizing AI algorithms for performance and scalability. 6. AI Compiler/Runtime Skills: AI compiler/runtime skills would be a plus. 7. Agile Methodologies: Familiarity with Agile methodologies. Experience in Agile development of AI-based solutions. Ensuring efficient project delivery through iterative development processes Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems effectively. Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Demonstrated commitment to staying updated with the latest advancements in AI/ML technologies. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders. Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams. Proven track record of ensuring compliance with industry best practices and standards in AI engineering. Maintained high standards of code quality, performance, and security in AI projects. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure.
Posted 3 months ago
1 - 5 years
3 - 7 Lacs
Bengaluru
Work from Office
1. Lead Development and deployment of AI frameworks, leveraging deep expertise in AI/ML and Data Science to ensure scalability, reliability, and efficiency. 2. Direct the implementation and optimization of machine learning algorithms, neural networks, and statistical modeling techniques, personally driving solutions for complex problems. 3. Personally oversee the development and deployment of AI solutions in production environments. 4. Collaborate closely with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, taking a hands-on approach to ensure seamless integration and efficiency. 5. Proactively stay abreast of the latest advancements in AI/ML technologies and actively contribute to the development and improvement of AI frameworks and libraries, leading by example in fostering innovation. 6. Effectively communicate technical concepts to non-technical stakeholders, showcasing excellent communication and interpersonal skills while leading discussions and decision-making processes. 7. Uphold industry best practices and standards in AI engineering , maintaining unwavering standards of code quality, performance, and security throughout the development lifecycle. 8. Demonstrate leadership in the use of container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, personally overseeing deployment strategies and optimizations. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 1. AI product development Leadership: - Deep experience in demonstrating coding skills, teaming capabilities, and end-to-end understanding of Enterprise AI product. - Deep background in machine learning, deep learning. - Expertise with product design, design principles and integration with various other enterprise products. - Strong skills in programing with C++, Python 2. Model Development Expertise: - Hands-on expertise with traditional machine learning, transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion), showcasing mastery in model development and optimization. - Desirable experience in rigorously testing AI algorithms and models, ensuring robustness and reliability in real-world applications. 3. Traditional AI Methodologies Mastery: - Demonstrated proficiency in traditional AI methodologies, including mastery of machine learning and deep learning frameworks. - Familiarity with model serving platforms such as Triton inference server, TGIS and vLLM, with a track record of leading teams in effectively deploying models in production environments. - Proficient in developing optimal data pipeline architectures for AI applications, taking ownership of designing scalable and efficient solutions. 4. Development Ownership: - Proficient in backend C++, with hands-on experience integrating AI technology into full-stack projects. - Demonstrated understanding of the integration of AI tech into complex full-stack applications. 5. Problem-Solving and Optimization Skills: - Demonstrated strength in problem-solving and analytical skills, with a track record of optimizing AI algorithms for performance and scalability. - Leadership in driving continuous improvement initiatives, enhancing the efficiency and effectiveness of AI solutions. Preferred technical and professional experience 1. Knowledge in AI/ML and Data Science: - Over 13 years of demonstrated leadership in AI/ML and Data Science, driving the development and deployment of AI models in production environments with a focus on scalability, reliability, and efficiency. - Ownership mentality, ensuring tasks are driven to completion with precision and attention to detail. 2. Algorithm Implementation Mastery and Optimization: - Proven track record of hands-on implementation and optimization of machine learning algorithms, neural networks, and statistical modeling techniques, showcasing expertise in solving complex problems effectively. 3. Development of Large Language Models (LLMs): - Hands-on experience in the development and deployment of large language models (LLMs) in production environments, demonstrating proficiency in distributed systems, microservice architecture, and REST APIs. - Understanding the end-to-end development process of LLMs, from ideation to deployment, ensuring seamless integration into production workflows. 4. Commitment to Continuous Learning and Contribution: - Demonstrated dedication to continuous learning and staying updated with the latest advancements in AI/ML technologies. - Proven ability to contribute actively to the development and improvement of AI frameworks and libraries. 5. Effective Communication and Collaboration: - Strong communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders. - Excellence in interpersonal skills, fostering collaboration and teamwork across diverse teams to drive projects to successful completion.
Posted 3 months ago
8 - 13 years
35 - 50 Lacs
Hyderabad
Hybrid
- building enterprise AI/ML algorithms, data structures, and ML model development - creating AI runbooks & machine learning frameworks - Big Data tools such as Kafka/Hadoop/Databricks - successfully deploying AI/ML models using a true MLOps model
Posted 3 months ago
2 - 5 years
12 - 17 Lacs
Pune, Noida, Mumbai (All Areas)
Hybrid
Greetings from Infogain! We are hiring for AI/ML Development. Please find below job details. Experience: 2 - 5 Years Location: Noida/ Mumbai/ Pune/ Bangalore/ Kochi Mode: Hybrid Job Description: Expertise in developing and optimizing complex AI/ML applications. Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc. Experience in using AI/ML development tools and technologies. Familiarity with software testing and debugging best practices
Posted 3 months ago
3 - 5 years
4 - 6 Lacs
Chennai
Work from Office
Full-stack dev for a Viewer app, blending backend & UI. Debug, optimize, & add AI analytics. Ensure stability, scalability, & security (HIPAA/GDPR). Collaborate on deployment, troubleshoot, and boost performance.
Posted 3 months ago
10 - 16 years
30 - 45 Lacs
Pune, Gurgaon, Mumbai (All Areas)
Hybrid
Key Responsibilities:- Architecture Design: Develop and maintain enterprise architecture frameworks that support business strategies and goals, focusing on data engineering and generative AI initiatives. Data Strategy: Define and implement data management strategies, including data governance, quality, and integration, ensuring that data assets are accessible and actionable. Generative AI Implementation: Collaborate with cross-functional teams to identify opportunities for generative AI applications, guiding the development and integration of AI solutions into existing systems. Stakeholder Collaboration: Work closely with business leaders, data engineers, and software developers to understand requirements and translate them into architectural solutions. Technology Evaluation: Assess and recommend tools and technologies that enhance data processing capabilities, machine learning models, and AI applications. Best Practices Development: Establish best practices for data engineering processes, including ETL (Extract, Transform, Load), data pipelines, and AI model deployment. Compliance and Security: Ensure that data architecture complies with industry standards and regulations, emphasizing data privacy and security protocols. Documentation and Communication: Create detailed architectural documentation and communicate architecture decisions to stakeholders at all levels of the organization. Qualifications Education: Bachelors degree in Computer Science, Information Technology, Data Science, or a related field; Master’s degree preferred. Experience: 10+ years of experience in enterprise architecture, data engineering, or a related field. Strong understanding of data modeling, data warehousing, and data lakes. Experience with Generative AI frameworks and tools (e.g., OpenAI, TensorFlow, PyTorch). Technical Skills: Proficiency in programming languages such as Python, Java, or Scala. Knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI) and machine learning libraries. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, capable of conveying complex concepts to non-technical stakeholders. Proven ability to lead and influence teams in a collaborative environment. Benefits Competitive salary and performance-based bonuses Comprehensive health, dental, and vision insurance Retirement savings plan with company match Opportunities for professional development and continuous learning Flexible work arrangements
Posted 3 months ago
1 - 5 years
8 - 12 Lacs
Bengaluru
Work from Office
1. Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. 2. Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems. 3. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. 4. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. 5. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. 6. Communicate technical concepts effectively to non-technical stakeholders, demonstrating excellent communication and interpersonal skills. 7. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. 8. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 1. Programming Proficiency: Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products.2. Data Handling Skills: Skilled in integrating, cleansing, and shaping data. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB.3. DevOps Experience: Experienced in DevOps practices. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes).4. Open-Source Contribution: Open-source Contribution is a plus. Experience in contributing to open-source AI projects or utilizing open-source AI frameworks.5. Problem-Solving Skills: Strong problem-solving and analytical skills. Experience in optimizing AI algorithms for performance and scalability.6. AI Compiler/Runtime Skills: AI compiler/runtime skills would be a plus.7. Agile Methodologies: Familiarity with Agile methodologies. Experience in Agile development of AI-based solutions. Ensuring efficient project delivery through iterative development processes Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems effectively. Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Demonstrated commitment to staying updated with the latest advancements in AI/ML technologies. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders. Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams. Proven track record of ensuring compliance with industry best practices and standards in AI engineering. Maintained high standards of code quality, performance, and security in AI projects.Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure.
Posted 3 months ago
2 - 6 years
5 - 8 Lacs
Hyderabad
Work from Office
Job Title S&C GN AI Managed service Data Operations Analyst Management Level:11 Analyst Location:Hyderabad Must have skills:Python, Pyspark, Databricks, AI/ML Good to have skills:cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models, Exposure to Retail, Banking, Healthcare projects. Job Summary : An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Bachelor's or Master's degree in any engineering stream or MCA. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Qualifications Experience:Minimum 2+ year(s) of experience is required Educational Qualification:B.Tech/BE or MCA
Posted 3 months ago
3 - 7 years
18 - 22 Lacs
Hyderabad
Work from Office
Job Title S&C GN AI Managed service Data Operations Sr. Analyst Management Level:10 Senior Analyst Location:Hyderabad Must have skills: Python, Pyspark, Databricks, AI/ML Good to have skills: cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models, Exposure to Retail, Banking, Healthcare projects. Experience: Minimum 3.5+ year(s) of experience is required Educational Qualification: B.Tech/BE or MCA Job Summary : An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: As a Data Operations Sr. Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. As a Data Operations Sr. Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Sr. Analysts evolve to become System Architects and/or Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Bachelor's or Master's degree in any engineering stream or MCA. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (3.5+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, QlikView, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. This position is based at our Hyderabad. (do not remove the hyperlink) Qualifications Experience: Minimum 3.5+ year(s) of experience is required Educational Qualification: B.Tech/BE or MCA
Posted 3 months ago
5 - 10 years
7 - 12 Lacs
Hyderabad
Work from Office
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Data Engineering Sr. Advisor demonstrates expertise in data engineering technologies with the focus on engineering, innovation, strategic influence and product mindset. This individual will act as key contributor of the team to design, build, test and deliver large-scale software applications, systems, platforms, services or technologies in the data engineering space. This individual will have the opportunity to work directly with partner IT and business teams, owning and driving major deliverables across all aspects of software delivery.The candidate will play a key role in automating the processes on Databricks and AWS. They collaborate with business and technology partners in gathering requirements, develop and implement. The individual must have strong analytical and technical skills coupled with the ability to positively influence on delivery of data engineering products. The applicant will be working in a team that demands innovation, cloud-first, self-service-first, and automation-first mindset coupled with technical excellence. The applicant will be working with internal and external stakeholders and customers for building solutions as part of Enterprise Data Engineering and will need to demonstrate very strong technical and communication skills.Delivery Intermediate delivery skills including the ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases and contribute to tradeoff and negotiation discussions.Domain Expertise Demonstrated track record of domain expertise including the ability to understand technical concepts necessary to do the job effectively, demonstrate willingness, cooperation, and concern for business issues and possess in-depth knowledge of immediate systems worked on.Problem Solving Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems rather than working around them, recognize mistakes using them as learning opportunities and break down large problems into smaller, more manageable onesAbout The Role : & Responsibilities: The candidate will be responsible to deliver business needs end to end from requirements to development into production. Through hands-on engineering approach in Databricks environment, this individual will deliver data engineering toolchains, platform capabilities and reusable patterns. The applicant will be responsible to follow software engineering best practices with an automation first approach and continuous learning and improvement mindset. The applicant will ensure adherence to enterprise architecture direction and architectural standards. The applicant should be able to collaborate in a high-performing team environment, and an ability to influence and be influenced by others.Experience Required: More than 12 years of experience in software engineering, building data engineering pipelines, middleware and API development and automation More than 3 years of experience in Databricks within an AWS environment Data Engineering experienceExperience Desired: Expertise in Agile software development principles and patterns Expertise in building streaming, batch and event-driven architectures and data pipelinesPrimary Skills: Cloud-based security principles and protocols like OAuth2, JWT, data encryption, hashing data, secret management, etc. Expertise in Big data technologies such as Spark, Hadoop, Databricks, Snowflake, EMR, Glue Good understanding of Kafka, Kafka Streams, Spark Structured streaming, configuration-driven data transformation and curation Expertise in building cloud-native microservices, containers, Kubernetes and platform-as-a-service technologies such as OpenShift, CloudFoundry Experience in multi-cloud software-as-a-service products such as Databricks, Snowflake Experience in Infrastructure-as-Code (IaC) tools such as terraform and AWS cloudformation Experience in messaging systems such as Apache ActiveMQ, WebSphere MQ, Apache Artemis, Kafka, AWS SNS Experience in API and microservices stack such as Spring Boot, Quarkus, Expertise in Cloud technologies such as AWS Glue, Lambda, S3, Elastic Search, API Gateway, CloudFront Experience with one or more of the following programming and scripting languages Python, Scala, JVM-based languages, or JavaScript, and ability to pick up new languages Experience in building CI/CD pipelines using Jenkins, Github Actions Strong expertise with source code management and its best practices Proficient in self-testing of applications, unit testing and use of mock frameworks, test-driven development (TDD) Knowledge on Behavioral Driven Development (BDD) approachAdditional Skills: Ability to perform detailed analysis of business problems and technical environments Strong oral and written communication skills Ability to think strategically, implement iteratively and estimate financial impact of design/architecture alternatives Continuous focus on an on-going learning and development Qualifications 15 years full time education
Posted 3 months ago
1 - 4 years
4 - 8 Lacs
Bengaluru
Work from Office
1. Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. 2. Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems. 3. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. 4. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. 5. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. 6. Communicate technical concepts effectively to non-technical stakeholders, demonstrating excellent communication and interpersonal skills. 7. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. 8. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 1. Programming Proficiency: Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. 2. Data Handling Skills: Skilled in integrating, cleansing, and shaping data. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. 3. DevOps Experience: Experienced in DevOps practices. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). 4. Open-Source Contribution: Open-source Contribution is a plus. Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. 5. Problem-Solving Skills: Strong problem-solving and analytical skills. Experience in optimizing AI algorithms for performance and scalability. 6. AI Compiler/Runtime Skills: AI compiler/runtime skills would be a plus. 7. Agile Methodologies: Familiarity with Agile methodologies. Experience in Agile development of AI-based solutions. Ensuring efficient project delivery through iterative development processes Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems effectively. Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Demonstrated commitment to staying updated with the latest advancements in AI/ML technologies. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders. Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams. Proven track record of ensuring compliance with industry best practices and standards in AI engineering. Maintained high standards of code quality, performance, and security in AI projects. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure.
Posted 3 months ago
5 years
15 - 20 Lacs
Noida
Remote
About Inzint: We are committed to providing exceptional opportunities for emerging talent specializing in Golang . We foster a dynamic environment that encourages continuous learning and professional development, ensuring you have the flexibility to excel both professionally and personally. Our seasoned leaders are not just mentors; they are your partners in success. Open and transparent communication is a cornerstone of our organization, and our Glassdoor ratings reflect the satisfaction and positive experiences of our employees. Job Description: We are looking for an experienced Golang Developer with a minimum of 5 years of hands-on experience in a similar position. You will be responsible for develop and maintain robust and scalable software solutions using the Go programming language, with a focus on performance and reliability. Key Responsibilities: Perform tasks responsibly as per client's requirement. Qualifications/Requirements: Minimum 5 years of work experience in a similar position. Graduation with CS background Btech. MCA BCA and other technical backgrounds. Required skills: Core Golang Skills Libraries & Frameworks in Go Data Handling & Processing API Development & Integration Database & Data Storage Cloud & DevOps Reinforcement Learning & NLP in Go Soft Skills & Problem-Solving Bonus Skills Experience in hybrid AI systems where Go services interact with Python ML models. Knowledge of Go + WebAssembly for AI models running in the browser. What We Offer: Compensation package (15-20) LPA 5 days working Permanent remote / WFH , and semi-flexi hours. A dynamic and collaborative work environment, and opportunities for professional growth and development. The chance to be a part of a forward-thinking, technology-focused organization. Why Work with Us: Learning and Growth: Inzint provides excellent learning opportunities, a dynamic work culture, and a supportive senior leadership team. Our inclusive and diverse environment fosters professional development. Balanced Work-Life: We value work-life balance and offer a 5-day workweek, work from home and flexible hours. Mentorship: Benefit from our experienced leadership and their mentorship to steer your career in the right direction. Transparent Communication: We maintain open and transparent communication channels to keep you informed about our goals and progress. Young and Energetic Team: The maiden age of our workforce is 24, and the founders are under 30. 4X Annal Growth: Since its foundation in 2020, the company has grown 4x year-to-year. For any queries contact - 9289909175\9289704058 ; email- adarshmishra@inzint.com, minal@inzint.com
Posted 3 months ago
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