1862 Keras Jobs - Page 19

NOTE: Timings: 4-6 hours overlap with GMT (Arabian Standard Time) AI Engineer Experience – 5-8 years Contract Duration – 6 months (extendable) Open for Contract Hiring Budget – 1 LPM fixed Location – Remote Must-Have Skills (5–8 Years): Programming – Python (preferred), Java, or C++. Machine Learning – Supervised, unsupervised, and reinforcement learning. Deep Learning – TensorFlow, PyTorch, Keras. Data Handling – Pandas, NumPy, OpenCV, data preprocessing. Model Deployment – REST APIs, Flask/FastAPI, Docker. Cloud – AWS/GCP/Azure ML services. Soft Skills – Analytical thinking, collaboration, communication.

Job Title - Data Engineer Sr.Analyst ACS Song Management Level: Level 10- Sr. Analyst Location: Kochi, Coimbatore, Trivandrum Must have skills: Python/Scala, Pyspark/Pytorch Good to have skills: Redshift Job Summary You’ll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline. Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions Preparing data to create a unified database and build tracking solutions ensuring data quality Create Production grade analytical assets deployed using the guiding principles of CI/CD. Professional and Technical Skills Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies. Experience in one of the many BI tools such as Tableau, Power BI, Looker. Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs. Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse. Additional Information Experience working in cloud Data warehouses like Redshift or Synapse Certification in any one of the following or equivalent AWS- AWS certified data Analytics- Speciality Azure- Microsoft certified Azure Data Scientist Associate Snowflake- Snowpro core- Data Engineer Databricks Data Engineering About Our Company | Accenture (do not remove the hyperlink) Experience: 3.5 -5 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture)

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv. Responsibilities Requisition ID R-10360039 Date posted 07/14/2025 End Date 07/31/2025 City Noida State/Region Uttar Pradesh Country India Location Type Onsite Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Specialist, Technical Business Analysis What does a great Business Analyst do in Fiserv? Consults with project teams and functional units on the design of important projects or services. Helps support existing business systems applications and demonstrates proficiency and leadership. Balances and prioritizes project work efficiently. Utilizing data to provide insights and actionable recommendations, they help inform decision-making and strategy development. What you will do The candidate for this position will leverage your expertise in data analysis, machine learning, and statistical modeling to uncover insights and develop predictive models that enhance our fraud rules. You will collaborate with cross-functional teams to analyze vast amounts of transactional data, identify patterns of fraudulent behavior, and continuously improve our monitoring systems. Your contributions will play a crucial role in enhancing the effectiveness of our solutions and protecting our clients from evolving threats. Must have excellent communication skills, as the role periodically interfaces with clients, vendors and business partners. What you will need to have: Bachelor's degree in Computer Science or Engineering, or relevant work experience IT experience with background in development. Minimum of 5 year’s experience in fraud analysis, investigations, or a related field, preferably in the financial services or e-commerce sector. Proficiency in programming languages such as Python or R for data analysis and model development. Familiarity with SQL for querying and managing relational databases. Solid understanding of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification. Excellent analytical skills with the ability to derive insights from complex datasets. Strong communication skills to effectively convey technical findings to non-technical stakeholders. Ability to work collaboratively in a fast-paced, team-oriented environment. Strong written and verbal communication skills, with the ability to present findings and recommendations clearly to stakeholders. Self-motivated, proactive, and able to work independently as well as collaboratively in a team environment. What would be great to have Knowledge of financial technologies, standards, and industry regulations (i.e., Payment Card Industry Data Security Standards) are highly preferred Knowledge of and experience with JIRA, Service Point and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy). Conclusion The role demands Analyze large datasets to identify trends, patterns, and anomalies that may indicate payment card compromises across a client’s portfolio and Develop, implement, and maintain predictive models and machine learning algorithms to enhance fraud detection capabilities. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Job Brief We are seeking an AI Lead Engineer to join our Digital Engineering team, focusing exclusively on Innovation Initiatives. As part of our dynamic group, you will contribute to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate possesses deep expertise in machine learning and AI, with a proven record of developing scalable solutions. This role demands a delivery-focused mindset, emphasizing quick, incremental outputs in an agile environment. Priority will be given to candidates who have demonstrated experience in building small applications using existing libraries and datasets, creating layers or wrappers to develop innovative solutions. We value the ability to integrate and unify existing technologies rather than developing from scratch, as this approach aligns with our fast-paced, innovation-driven environment. You'll balance innovative thinking with practical implementation, driving substantial business impact through rapid prototyping and deployment of AI solutions. Responsibilities Develop cutting-edge AI solutions for future trends Rapidly prototype and deliver impactful features (DemoBytes) Integrate existing libraries/datasets for novel applications Develop select features from scratch when necessary Collaborate cross-functionally on AI innovations Proactively improve systems based on AI trends Participate in agile development processes Deliver frequent, incremental outputs Balance innovation with practical implementation Requirements and Skills Master's in Computer Science, Engineering, AI, or a related field 7+ years of experience in developing and deploying machine learning models and AI solutions. Handled team of minimum 5. Strong proficiency in Python; familiarity with Java and R Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras Solid understanding of data structures, algorithms, and software design principles Knowledge of RESTful APIs and microservices architecture Familiarity with agile development methodologies Strong problem-solving skills and ability to work effectively in a team environment Excellent communication skills to explain complex AI concepts to both technical and non-technical stakeholders Preferred Qualifications Experience with reinforcement learning and generative AI models Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience with database systems (SQL and NoSQL) Contributions to open-source AI projects or research publications in the field of AI.

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Job Title: – Senior software engineer Location: Remote Function/Department: Platform Engineering Position Summary We are looking for a talented and motivated Software Engineer with 4-6 years of experience in MERN stack (MongoDB, Express.js, React.js, Node.js) to join our team. The successful candidate will contribute to the development and maintenance of applications, ensuring their performance and quality. Responsibilities Develop and maintain software applications using the MERN stack. Collaborate with cross-functional teams to define, design, and develop new features. Troubleshoot, debug, and optimize existing applications for performance and scalability. Participate in full software development lifecycle, including requirement gathering, design, development, testing and deployment Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage. Required Skills proficiency in development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Experience with front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Good Experience in Software development lifecycle and processes. Strong problem-solving skills. Excellent written and oral communication skills Ability to work effectively in a cross-functional team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Responsibilities : Manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training. Utilize Python libraries like PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaborate with cross-functional teams to experime ... nt with AI/ML models and iterate quickly on prototypes. Optimize workflows to ensure fast experimentation and deployment of models to production environments. Implement containerization and basic Docker workflows to streamline deployment processes. Write clean, efficient, and production-ready Python code for scalable AI solutions. Good to Have: Exposure to cloud platforms like AWS, Azure, or GCP. Knowledge of MLOps principles and tools. Basic understanding of enterprise Knowledge Management Systems. Ability to work against tight deadlines. Ability to work on unstructured projects independently. Strong initiative and self-motivated Strong Communication & Collaboration acumen. Required Skills: Proficiency in Python with strong skills in libraries like PyTorch, Pandas, and NumPy. Experience in handling both structured and unstructured datasets. Familiarity with fine-tuning LLMs and understanding of modern NLP techniques. Basics of Docker and containerization principles. Demonstrated ability to experiment, iterate, and deploy code rapidly in a production setting. Strong problem-solving mindset with attention to detail. Ability to learn and adapt quickly in a fast-paced, dynamic environment. What we Offer: Opportunity to work on cutting-edge AI technologies and impactful projects. A collaborative and growth-oriented work environment. Competitive compensation and benefits package. A chance to be a part of a team shaping the future of enterprise intelligence.

TCS HIRING !!! Role : Data Scientist Required Technical Skill Set : Data Science Experience: 3-8 years Locations: Kolkata,Hyd,Bangalore,Chennai,Pune Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts.

Senior Machine Learning Engineer - Recommender Systems Join our team at Thomson Reuters and contribute to the global knowledge economy. Our innovative technology influences global markets and supports professionals worldwide in making pivotal decisions. Collaborate with some of the brightest minds on diverse projects to craft next-generation solutions that have a significant impact. As a leader in providing intelligent information, we value the unique perspectives that foster the advancement of our business and your professional journey. Are you excited about the opportunity to leverage your extensive technical expertise to guide a development team through the complexities of full life cycle implementation at a top-tier company? Our Commercial Engineering team is eager to welcome a skilled Senior Machine Learning Engineer to our established global engineering group. We're looking for someone enthusiastic, an independent thinker, who excels in a collaborative environment across various disciplines, and is at ease interacting with a diverse range of individuals and technological stacks. This is your chance to make a lasting impact by transforming customer interactions as we develop the next generation of an enterprise-wide experience. About the Role: As a Machine Learning Engineer, you will: Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives. Create machine learning solutions that are scalable, dependable, and secure. Craft and sustain technical outputs such as design documentation and representative models. Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews. Provide expert oversight, guidance on implementation, and solutions for technical challenges. Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services. Promote a team-focused culture that values information sharing and diverse viewpoints. Cultivate an environment of continual enhancement, learning, innovation, and deployment. About You: You are an excellent candidate for the role of Machine Learning Engineer if you possess: At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency. A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices. A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles. Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products. Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries. Experience in leading and supporting engineering teams. Robust background in crafting data science and machine learning solutions. A creative, resourceful, and effective problem-solving approach. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Role Overview: We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes. Key Responsibilities: Data Analysis & Visualization: Develop and manage d ata pipelines, ensuring data accuracy and integrity. Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions. Extract and analyze complex data sets using SQL to generate actionable insights 2 Machine Learning & AI Models: Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation. Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents. Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks. 3 Automation & Innovation: Use AI to streamline document verification, data extraction, and customer interaction processes. Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems. Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges. Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or related field. 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel. Expertise in building machine learning models and utilizing NLP techniques for text processing and automation. Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions. Strong problem-solving skills, with the ability to work independently and in teams. Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

We are looking for a versatile and highly skilled Data Analyst / AI Engineer to join our innovative team. This unique role combines the strengths of a data scientist with the capabilities of an AI engineer, allowing you to dive deep into data, extract meaningful insights, and then build and deploy cutting-edge Machine Learning, Deep Learning, and Generative AI models. You will play a crucial role in transforming raw data into strategic assets and intelligent applications. Key Responsibilities: · Data Analysis & Insight Generation: o Perform in-depth Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies in complex datasets. o Clean, transform, and prepare data from various sources for analysis and model development. o Apply statistical methods and hypothesis testing to validate findings and support data-driven decision-making. o Create compelling and interactive BI dashboards (e.g., Power BI, Tableau) to visualize data insights and communicate findings to stakeholders. · Machine Learning & Deep Learning Model Development: o Design, build, train, and evaluate Machine Learning models (e.g., regression, classification, clustering) to solve specific business problems. o Develop and optimize Deep Learning models, including CNNs for computer vision tasks and Transformers for Natural Language Processing (NLP). o Implement feature engineering techniques to enhance model performance. · Generative AI Implementation: o Explore and experiment with Large Language Models (LLMs) and other Generative AI techniques. o Implement and fine-tune LLMs for specific use cases (e.g., text generation, summarization, Q&A). o Develop and integrate Retrieval Augmented Generation (RAG) systems using vector databases and embedding models. o Apply Prompt Engineering best practices to optimize LLM interactions. o Contribute to the development of Agentic AI systems that leverage multiple tools and models. Required Skills & Experience: o Data Science & Analytics: o Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn). o Proven experience with Exploratory Data Analysis (EDA) and statistical analysis. o Hands-on experience developing BI Dashboards using tools like Power BI or Tableau. o Understanding of data warehousing and data lake concepts. o Machine Learning: o Solid understanding of various ML algorithms (e.g., Regression, Classification, Clustering, Tree-based models). o Experience with model evaluation, validation, and hyperparameter tuning. o Deep Learning: o Proficiency with Deep Learning frameworks such as TensorFlow, Keras, or PyTorch . o Experience with CNNs (Convolutional Neural Networks) and computer vision concepts (e.g., OpenCV, object detection). o Familiarity with Transformer architectures for NLP tasks. o Generative AI: o Practical experience with Large Language Models (LLMs). o Understanding and application of RAG (Retrieval Augmented Generation) systems. o Experience with Fine-tuning LLMs and Prompt Engineering. o Familiarity with frameworks like LangChain or LlamaIndex. o Problem-Solving: Excellent analytical and problem-solving skills with a strong ability to approach complex data challenges. Good to Have: o Experience with cloud-based AI/ML services (e.g., Azure ML, AWS SageMaker, Google Cloud AI Platform). o Familiarity with MLOps principles and tools (e.g., MLflow, DVC, CI/CD for models). o Experience with big data technologies (e.g., Apache Spark). Educational Qualification: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). Please share your resume to the mail id: careers@appfabs.in

Position Overview: We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you’re seeking an environment for continuous learning and improvement, we’d love to hear from you! Virtana is a “remote first” work environment so you’ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years’ experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow About Virtana: Virtana delivers the industry’s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana’s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition In FY2023 (Fiscal year ending January 2023), Virtana earned: — Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably — Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth — Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue — Positive Cash Flow, 171% YoY cash flow growth

Job Title: Machine Learning Intern Company: Innovate Solutions Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: AI / Data Science About the Company: Innovate Solutions is a technology-forward company focused on building intelligent, scalable, and data-driven solutions. We work across industries to help organizations implement machine learning, AI, and automation to drive growth and efficiency. Job Summary: We are looking for a motivated and curious Machine Learning Intern to join our AI team. You’ll get hands-on experience with real datasets, model development, and building smart applications that solve real-world problems. Key Responsibilities: Collect, clean, and preprocess data for modeling Build and train machine learning models using Python and ML libraries Work with libraries like Scikit-learn, TensorFlow, Keras, or PyTorch Evaluate and fine-tune model performance Collaborate with data scientists and developers on project tasks Document processes, models, and results clearly Requirements: Pursuing or recently completed a degree in Computer Science, Data Science, or a related field Strong Python programming skills Basic understanding of machine learning algorithms and techniques Familiarity with libraries like pandas, NumPy, and Scikit-learn Knowledge of deep learning concepts is a plus Good problem-solving skills and ability to work remotely Perks & Benefits: ₹25,000/month stipend Internship certificate upon successful completion Real-world ML project experience Mentorship from experienced professionals Flexible remote work environment

Lead AI/ML Engineer Experience:5 - 10 Years Exp Salary : 15 to 25 LPA Preferred Notice Period: Within 30 Days Shift: 10:00AM to 7:00PM IST Opportunity Type: Hybrid (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Generative AI OR NLP AND Python OR Java OR R AND Deep Learning OR TensorFlow OR Keras OR PyTorch Inferenz(One of Uplers' Clients) is Looking for: Lead AI/ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. About The Role: Job Overview: Position: Lead AI/ML Engineer Location: Ahmedabad, Pune Required Experience: 5 to 12 Years Preferred Immediate Joiner We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelors or master’s degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. Our technology expertise has helped us delivering the innovative solutions in key industries such as Healthcare & Life Sciences, Consumer & Retail, Financial Services and Emerging industries.. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Lead AI/ML Engineer Experience:5 - 10 Years Exp Salary : 15 to 25 LPA Preferred Notice Period: Within 30 Days Shift: 10:00AM to 7:00PM IST Opportunity Type: Hybrid (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Generative AI OR NLP AND Python OR Java OR R AND Deep Learning OR TensorFlow OR Keras OR PyTorch Inferenz(One of Uplers' Clients) is Looking for: Lead AI/ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. About The Role: Job Overview: Position: Lead AI/ML Engineer Location: Ahmedabad, Pune Required Experience: 5 to 12 Years Preferred Immediate Joiner We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelors or master’s degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. Our technology expertise has helped us delivering the innovative solutions in key industries such as Healthcare & Life Sciences, Consumer & Retail, Financial Services and Emerging industries.. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description: We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail operations. Key Responsibilities: • Develop computer vision models: Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. • Microservice architecture: Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. • Data processing pipelines: Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. • Integrate with existing systems: Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. • Performance optimization: Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. • Monitor and improve: Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. •Security and privacy: Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive information. Experience: •5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. •Hands-on experience with microservices deployment on cloud platforms (e.g., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. •Experience with real-time video analytics, including working with large-scale video data and camera feeds. Technical Skills: •Proficiency in programming languages like Python, C++, or Java. •Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for developing computer vision models. •Strong understanding of microservice architecture, REST APIs, and serverless computing. •Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). •Familiarity with edge computing and hardware acceleration (e.g., GPUs, TPUs) for running inference on embedded systems. Preferred Qualifications: •Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.). •Understanding of retail operations and common challenges in surveillance. •Knowledge of data privacy regulations such as GDPR or CCPA. Soft Skills: •Strong analytical and problem-solving skills. •Ability to work independently and in cross-functional teams. •Excellent communication skills to convey technical concepts to non-technical stakeholders. Benefits: • Competitive salary and stock options. • Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, we’d love to hear from you! Apply Now

As a software developer with 5-7 years of experience, especially in working with large-scale data systems, you will be expected to have a solid understanding of Machine Learning concepts such as regression, classification, and clustering. Proficiency in Python is a must, although knowledge of other programming languages like R, Java, or C++ will also be beneficial. Hands-on experience with ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras is required for this role. In addition to your programming skills, you should have a strong grasp of data structures, algorithms, statistics, and Database Management Systems (DBMS). Excellent communication skills are essential for effectively conveying technical information to both technical and non-technical audiences. Familiarity with data tools like Pandas, NumPy, and SQL will be advantageous. Soft skills such as analytical thinking, problem-solving, adaptability, and teamwork are also highly valued in this position. Desirable skills for this role include exposure to advanced Machine Learning areas such as deep learning, Natural Language Processing (NLP), computer vision, or reinforcement learning. Knowledge of cloud platforms like AWS, Azure, or GCP is a plus. Familiarity with version control systems like Git and an understanding of MLOps and pipeline concepts would be beneficial for this role.,

Lead AI/ML Engineer Experience:5 - 10 Years Exp Salary : 15 to 25 LPA Preferred Notice Period: Within 30 Days Shift: 10:00AM to 7:00PM IST Opportunity Type: Hybrid (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Generative AI OR NLP AND Python OR Java OR R AND Deep Learning OR TensorFlow OR Keras OR PyTorch Inferenz(One of Uplers' Clients) is Looking for: Lead AI/ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. About The Role: Job Overview: Position: Lead AI/ML Engineer Location: Ahmedabad, Pune Required Experience: 5 to 12 Years Preferred Immediate Joiner We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelor’s or master’s degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. Our technology expertise has helped us delivering the innovative solutions in key industries such as Healthcare & Life Sciences, Consumer & Retail, Financial Services and Emerging industries.. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

You are a Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. Your primary responsibility will be to develop, train, and deploy machine learning models using Python. You will collaborate with data science and engineering teams to create intelligent solutions that address real-world problems. Your tasks will include working on AI-driven applications such as predictive modeling, natural language processing, and computer vision based on project requirements. You will need to preprocess, clean, and transform data for training and evaluation purposes. Model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch will also be part of your role. It is essential for you to write modular, efficient, and testable code and document processes, models, and experiments clearly for team use and future reference. Staying updated with the latest trends and advancements in AI and machine learning is crucial for this position. You should possess 2 to 3 years of hands-on experience with Python programming. A solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) is necessary. Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn is required, as well as exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch. Good knowledge of data structures and algorithms, model evaluation techniques, and performance metrics is expected. Having familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving skills are essential for this role. Ideally, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field. Experience with deploying ML models using Flask, FastAPI, or Docker is preferred. Knowledge of MLOps and model lifecycle management is an advantage, and understanding of NLP or Computer Vision is a plus.,

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You – Experience, Education, Skills, And Accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, It Would Be Advantageous If You Have Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About The Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area. Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

As a Senior Data Scientist at CIS, you will be responsible for designing and developing machine learning algorithms and deep learning applications. With a required experience of 2.6 to 6 years, you will utilize your expertise in AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision to solve complex problems with multilayered data sets. Your educational background should include a Bachelor's or Master's degree in computer science, mathematics, or a related field. Your primary objectives will include collaborating with various teams such as data scientists, administrators, data analysts, data engineers, and data architects to optimize existing machine learning libraries and frameworks. You will identify data distribution differences that could impact model performance and ensure accurate user recommendations. Additionally, staying updated with industry developments is crucial to excel in this role. Your duties and responsibilities will involve transforming data science prototypes, running machine learning tests, training and monitoring systems, and constructing optimized data pipelines. Moreover, you will consult with managers to refine machine learning objectives and extend existing libraries and frameworks. Proficiency in machine learning frameworks like Keras or PyTorch, along with strong analytical, problem-solving, and communication skills, will be essential for success in this role. This position is based in Indore, Madhya Pradesh, and follows a work from office model. You must be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you possess a passion for continuous learning, innovative thinking, and have a proven track record in machine learning engineering, we encourage you to apply from the listed locations for this exciting opportunity.,

At PwC, the software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Combining technical experience with creative thinking, individuals in software engineering at PwC work towards developing innovative software solutions that drive digital transformation and enhance business performance. The primary responsibilities include designing, coding, and testing cutting-edge applications to revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to deepen technical expertise and awareness of strengths. Anticipating the needs of teams and clients is crucial, along with delivering quality results. Embracing ambiguity and utilizing moments of uncertainty as opportunities for growth are key aspects of this position. The required skills and experiences at this level include responding effectively to diverse perspectives, using a range of tools to generate new ideas, employing critical thinking to solve complex problems, understanding project objectives and broader business strategies, enhancing self-awareness through reflection, interpreting data for insights, and upholding professional and technical standards. As a Senior Associate in the Business services support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This team focuses on leveraging advanced technologies to design and develop robust data solutions for the Acceleration Centre. Responsibilities include collaborating with cross-functional teams, designing and maintaining software solutions, implementing event-driven architectures for real-time data processing, utilizing containerization technologies, developing and managing data lakes, and staying updated with the latest advancements in GenAI technologies. Proficiency in Python and software engineering best practices for AI systems is essential for this role, along with hands-on experience in developing and deploying AI models in production environments. Experience in designing and implementing generative AI models, conducting research on the latest AI techniques, optimizing existing AI models, and developing AI pipelines are key responsibilities. The candidate should have a deep understanding of state-of-the-art AI architectures, proficiency in Python and machine learning libraries, strong knowledge of data structures and algorithms, effective communication skills, proactive mindset, and familiarity with cloud-based platforms and services like Azure or AWS.,

As an AI Azure Architect, your primary responsibility will be to develop the technical vision for AI systems that cater to the existing and future business requirements. This involves architecting end-to-end AI applications, ensuring seamless integration with legacy systems, enterprise data platforms, and microservices. Collaborating closely with business analysts and domain experts, you will translate business objectives into technical requirements and AI-driven solutions. Additionally, you will partner with product management to design agile project roadmaps aligning technical strategies with market needs. Coordinating with data engineering teams is essential to ensure smooth data flows, quality, and governance across different data sources. Your role will also involve leading the design of reference architectures, roadmaps, and best practices for AI applications. Evaluating emerging technologies and methodologies to recommend suitable innovations for integration into the organizational strategy is a crucial aspect of your responsibilities. You will be required to identify and define system components such as data ingestion pipelines, model training environments, CI/CD frameworks, and monitoring systems. Leveraging containerization (Docker, Kubernetes) and cloud services will streamline the deployment and scaling of AI systems. Implementation of robust versioning, rollback, and monitoring mechanisms to ensure system stability, reliability, and performance will be part of your duties. Moreover, you will oversee the planning, execution, and delivery of AI and ML applications, ensuring they are completed within budget and timeline constraints. Managing project goals, allocating resources, and mitigating risks will fall under your project management responsibilities. You will be responsible for overseeing the complete lifecycle of AI application developmentfrom conceptualization and design to development, testing, deployment, and post-production optimization. Emphasizing security best practices during each development phase, focusing on data privacy, user security, and risk mitigation, is crucial. In addition to technical skills, the ideal candidate for this role should possess key behavioral attributes such as the ability to mentor junior developers, take ownership of project deliverables, and contribute towards risk mitigation. Understanding business objectives and functions to support data needs is also essential. Mandatory technical skills for this position include a strong background in working with agents using langgraph, autogen, and CrewAI. Proficiency in Python, along with knowledge of machine learning libraries like TensorFlow, PyTorch, and Keras, is required. Experience with cloud computing platforms (AWS, Azure, Google Cloud Platform), containerization tools (Docker), orchestration frameworks (Kubernetes), and DevOps tools (Jenkins, GitLab CI/CD) is essential. Proficiency in SQL and NoSQL databases, designing distributed systems, RESTful APIs, GraphQL integrations, and event-driven architectures are also necessary. Preferred technical skills include experience with monitoring and logging tools, cutting-edge libraries like Hugging Face Transformers, and large-scale deployment of ML projects. Training and fine-tuning of Large Language Models (LLMs) is an added advantage. Educational qualifications for this role include a Bachelor's/Master's degree in Computer Science, along with certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification. The ideal candidate should have 11 to 14 years of relevant work experience in this field.,

As a Machine Learning Engineer, you will be applying your expertise to help develop a world-leading capability in the domain of machine learning. Your responsibilities will include contributing to the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. You will work on applying machine learning, deep learning, and signal processing techniques on large datasets such as audio, sensors, images, videos, and text to develop models. Additionally, you will be involved in architecting large scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaboration with data scientists and analysts to support the development of ML data pipelines, platforms, and infrastructure will be a key aspect of your role. You will evaluate and validate analyses using statistical methods and present findings in a clear manner to individuals not familiar with data science or computer science. Furthermore, you will create microservices and APIs for serving ML models and services, evaluate new machine learning methods, and perform feature engineering to enhance model performance. The required skills for this role include a background and knowledge of recent advances in machine learning, deep learning, natural language processing, and image/signal/video processing, with around 5 years of professional work experience in real-world applications. Proficiency in programming languages such as Python, Pytorch, MATLAB, C/C++, and Java, along with knowledge of software engineering concepts like OOP and design patterns, is essential. Familiarity with machine learning libraries such as Tensorflow, Keras, scikit-learn, and pyTorch is also required. A strong mathematical background with skills in accuracy, significance tests, visualization, and advanced probability concepts is necessary. You should be capable of architecting and implementing end-to-end solutions for accelerating experimentation and model building, as well as possessing knowledge of various machine learning techniques such as clustering, decision tree learning, and artificial neural networks. The ability to conduct both independent and collaborative research, along with excellent written and spoken communication skills, is crucial. Preferred qualifications include a B.E./B.Tech/B.S. degree with 3+ years of experience in the relevant fields or an M.E./M.S./M.Tech/PhD, preferably in Computer Science, with experience in machine learning, image and signal processing, or statistics.,

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. You will collaborate closely with the product team to gain insights into business challenges and product objectives, enabling you to devise creative algorithmic solutions. Your role will entail creating prototypes and demonstrations to validate new ideas and transform research findings into practical innovations by collaborating with AI Engineers and software engineers. In addition, you will be responsible for formulating and executing research plans, carrying out experiments, documenting and consolidating results, and potentially publishing your work. It will also be essential for you to safeguard intellectual property resulting from R&D endeavors by working with relevant teams and external partners. Furthermore, part of your role will involve mentoring junior staff to ensure adherence to established procedures and collaborating with various stakeholders, academic/research partners, and fellow researchers to deliver tangible outcomes. To excel in this position, you are required to possess a strong foundation in computer science principles and proficient skills in analyzing and designing AI/Machine learning algorithms. Practical experience in several key areas such as supervised and unsupervised machine learning, reinforcement learning, deep learning, knowledge-based systems, evolutionary computing, probabilistic graphical models, among others, is essential. You should also be adept in at least one programming language and have hands-on experience in implementing AI/machine learning algorithms using Python or R. Familiarity with tools, frameworks, and libraries like Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc., will be advantageous. Ideally, you should have at least 2-5 years of applied research experience in solving real-world problems using AI/Machine Learning techniques. Additionally, having a publication in a reputable conference or journal related to AI/Machine Learning or holding patents in the field would be beneficial. Experience in contributing to open-source projects within the AI/Machine Learning domain will be considered a strong asset. If you are excited about this challenging opportunity, please refer to the Job Code DSM_TVM for the position based in Trivandrum. For further details, feel free to reach out to us at recruitment@flytxt.com.,