227 Pytorch Jobs in Uttar Pradesh

About Us Founded in 2007, Biz2Credit is rated as the Number 1 small business financing resource in the U.S. by Entrepreneur Magazine. Till date, we've facilitated more than $2.5+ billion in small business lending. Biz2Credit, an all - in - one financing solution for entrepreneurs to get a small business loan with fast approval process. Explore the best small business financing options with us! Biz2Credit offers an innovative way for lenders and small business borrowers to connect through our online credit marketplace. Our robust network includes more than 1,200 lenders and tens of thousands of small businesses who connect to the network through partnerships with Paychex, Start - up America, CPA's, business brokers and other referral partners. Biz2X is the technology platform that has helped Biz2Credit become the premier alternative lender for small businesses. Now, traditional banks are leveraging our expertise and experience to automate small business lending. Biz2X allows banks to implement AI - powered digital banking. This allows banks clients to have a fully omnichannel experience with data and workflows that adapt seamlessly to the banks core banking systems. Biz2X platforms world - class risk solutions are based on AI algorithms that enables auto decision - making and quick processing. Biz2X is One Platform That Does It All - automates lending, optimizes risk management, and improves operational efficiency. Learn More : www.biz2credit.com & www.biz2x.com Read About Us https://www.globenewswire.com/en/news - release/2023/04/25/2653660/0/en/Financial - Times - Names - Biz2Credit - and - Biz2X - to - its - Americas - Fastest - Growing - Companies - of - 2023 - List.html https://inc42.com/buzz/biz2credit - announces - esops - worth - 12 - 25 - mn - for - 500 - indian - employees/ About The Role This is a rare opportunity to join a fast - growing team, where you will play a major role in shaping Biz2Credit's future. We're looking for an exceptional candidate that is excited about the opportunity to build a next - generation financial services business. We believe th at there is a tremendous opportunity to leverage cutting - edge data science to inform smarter, faster decision making. As a Biz2 x Data Scientist, you will shape the company's data - centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models. While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere. Job Responsibility: - Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing model - optimizing risk and return while dramatically reducing decision cycle times. Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes. Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as opportunities with our customers. Play a key role in the design and implementation of ongoing operational and risk reporting and analytics. Work on data projects and proposals involving Biz2Credit's financial services partners worldwide (banks, non - banks, debt investors, equity investors and others) to analyze , classify and visualize credit - related data Perform ad hoc analys e s on customer, business, and portfolio trends to generate actionable insights for internal and external stakeholders Manage multiple projects and priorities while delivering accurate & timely results in a fast - paced environment Requirements Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred 4 - 6 years of experience in applied data science or machine learning roles. Hands - on experience with LLMs and GenAI applications . Expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit - learn . Strong experience in deep learning , NLP , and generative models (e.g., VAEs, GANs, Diffusion models) . Experience with prompt engineering , fine - tuning , RAG (Retrieval - Augmented Generation) , or model distillation . Proficiency in SQL, data wrangling, and working with large datasets. Familiarity with MLOps tools (e.g., MLflow, Airflow, Kubeflow) and cloud platforms (AWS/GCP/Azure). Preferred Qualifications Published work in ML/AI journals or major conferences (NeurIPS, ICML, ACL, CVPR, etc.). Experience building and deploying LLM - powered applications in production. Background in reinforcement learning , time series forecasting , or causal inference . Understanding data privacy, model fairness, and ethical AI considerations.

Job Description You'll join a high-performing team working at the intersection of AI, and software engineering to drive efficiencies in game development, QA, and Analytics. Design, prototype, and productionize end-to-end AI systems that can develop and QA mobile games, using the power of AI to significantly improve efficiency/speed. Do ML model selection for the tasks at hand; train those models if need arises. Evaluate, Use, Optimize AI code generation; using tools such as Cursor, Co-Pilot Stay ahead of the curve with advancements in AI, specifically it's usage in software development, QA, and data analytics. Mandatory Skills Requirements Hands on experience with evaluating and training ML models Excellent programming and problem-solving skills Hands on with various Gen AI tools/LLMs usage, and general AI ecosystem Good programming skills with Python, and libraries in AI/ML ecosystem Experience integrating LLMs with external data. Preferred Skills Requirements Prior Experience in gaming would be great. Familiarity with MCP, RAG Knowledge of industry-standard AI frameworks (e.g.,TensorFlow, PyTorch) and experience with data preprocessing. (ref:hirist.tech)

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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 looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

GL Bajaj (Institute of Technology & Mgmt.) – A Glimpse! Passionate education provider in multi disciplines at undergraduate and postgraduate level (B.Tech, MBA, MCA) Vibrant Learning Ecosystem on the campus, has inspired and brilliant students. GL Bajaj Group was incepted in year 1997 , carrying a winning legacy of 12 institutions running diverse higher education programs. GL Bajaj Group, has +14,000 students, +800 faculty members , 12 institutions, and 6 campuses with +300 acres of land. NAAC A+ accredited, 4 stars from Ministry of Education, NIRF rank holder, Research & Incubation centre, Entrepreneurship development and top quality placement for students Vision to give globally competent & socially sensitive professionals to the society. Highly inquisitive students who take risks, experiment, and put novel ideas into action. Sharpens the Technical as well as Life Skills of students – Developing young leaders. Have world class collaborative LEARNING infrastructure for teaching & learning practices. Hiring Distinguished faculty members from the Institutes of repute . We nurture versatile INTRAPRENEURs . Our core belief is in nurturing Diverse, inclusive, equity knowledge gems Hi – Tech Campus has a beautiful , serene environment & students enjoy learning. Believes in relentless change and desire to improve . We are looking for passionate researchers/out of box thinkers/academicians who have a go-getter attitude, have fire to innovate , works with technology driven progressive mindset and execute the concept of sustainability in each task ( paperless ) in learning process delivery. We are offering to the right candidate an excellent compensation package along with the tools and the environment to foster intellect and new ideas. If you want to CONTRIBUTE meaningful to the society at large, join us & Find your SPARK! ABOUT JOB Designation: Assistant Professor Job Purpose & Role: To teach, research and serve the Institution for academic, institutional & student’s growth & development. WORK Responsibilities: LEARNING & TEACHING To develop and teach undergraduate and graduate courses in CORE Computer Science & Allied courses. Command on Subjects like: Programming Fundamentals via language C/C++, JAVA, Python Data Structures & Algorithms Operating Systems Computer Architecture & Organisation Object Oriented Programming (OOP) Software Engineering Design & Analysis of Algorithms Computer Networks, Compiler Designs, DevOps Artificial Intelligence, Machine Learning Deep Learning, Natural Language Processing, Computer Vision, or related areas. etc. Proven experience of teaching new age subjects like Cybersecurity, Big Data Analytics, IoT, Cloud Computing, Blockchain Technology, AVR (Augmented & Virtual Reality) with a commitment to innovative pedagogical approaches. Have an ability to stay abreast on the latest emerging trends and technologies in AI/AIML/DS such as reinforcement learning, generative models, or ethical AI. To stay abreast of developments in the field of AI through continuous learning, attending conferences, and networking with peers. Proven e xperience with software development and programming languages commonly used in AI research, such as Python, TensorFlow, PyTorch, or similar tools. To make best use of technology in teaching learning methodology. Proven experience of excellent delivery of the subject for the students by active or activity based learning, real-life problem solving approaches in content delivery and achieve the best results /awards/positions in the university. To fulfill responsibility concerning students in respect of instruction, progress, and examination. To prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students . To meaningfully engage students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To ensure Quality (NBA, ISO, NAAC, NIRF) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids, Laboratory facilities and ensure understanding of education regulatory bodies like UGC / AICTE RESEARCH To conduct cutting-edge research in AI, Data Science, AIML, Core CSE , publish findings in reputable journals and conferences, and pursue external funding to support research activities. To supervise and mentor graduate students, providing guidance and support in their research endeavours To collaborate with industry partners to apply AI/AIML techniques to real-world problems and foster technology transfer. To have an ability to secure external research funding and lead research projects independently or collaboratively. Proven experience in working with interdisciplinary research teams or collaborating across departments. To facilitate in connecting industry with academia for providing hands on experience leading to skill development of students. To do quality research, have good academic record and books/research paper publications/IPR/patents record. To continue to develop one’s position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field. GL Bajaj’s Citizenship and Ownership of Responsibilities To participate in continuing professional development e.g. through seminars or conferences and by engaging in training programmes run by the Institution which are consistent with the needs and aspirations of the academics. To support, mentor and facilitate seminars, training activities, cross-departmental activities and events and Ceremonies etc. To demonstrate the GL Bajaj’s values through own actions and behavior . To undertake such other duties as may be reasonably requested and that are commensurate with the nature and grade of the post. To engage in continuous personal and professional development in line with the demands of the role, including undertaking relevant training and development activities to develop themselves and support the development of others. To ensure and promote the personal health, safety and wellbeing of staff and students. To carry out duties in a way which promotes fairness in all matters , and which engenders trust. APTITUDE & SKILLS D.1 Functional Skills Passionate Academician/Researcher Competency of Nurturing Students Excellent interpersonal & content delivery skills. Ability to engage students constructively. Academic domain knowledge – National (UGC/NBA/NAAC/NIRF/AICTE etc.)/International Highly developed communication and presentation skills to present research findings at national and international conferences Ability to harness IT as a research and teaching tool A willingness to undertake further training as appropriate and to adopt new procedures as and when required Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia High emotional intelligence Qualification & Years of Experience as per AICTE/UGC norms: B.Tech & M.Tech – IT/CSE from Top tier Institutes & reputed universities like IITs, NITs, IIITs, IISc. Etc. and throughout first class 0-4 years of experience in teaching/ research PhD or PhD (Pursuing) candidates from Top Institutes will be preferred Industry Experience is desirable. Salary as per current norms Location: Greater Noida, Delhi/NCR Apply for the position by sending your CV on careers@glbitm.ac.in You may visit our website’s career page at www.glbitm.org

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Hands-on experience in AI and drive the development of innovative AI and machine learning solutions Experience in developing solutions in the NLP space and relevant projects Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree or higher in computer science engineering with a focus on language processing 6+ years of experience in AI/ML roles Experience with Azure development environments Experience with using and deploying LLMs Experience in developing solutions in the NLP space and relevant projects Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark or Scala Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Knowledge of NLP literature, thrust areas, conference venues, and code repositories Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) DevOps Skills: Experience building and maintaining CI/CD pipelines Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc) Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc) Security and vulnerability management Familiarity with traditional software monitoring, scaling, and quality management (QMS) Preferred Qualifications Experience deploying and maintaining ML models in production Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc) MLOps skills Familiarity with model versioning tools (MLFlow, etc) Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Graph Neural Network & Reinforcement Learning Engineer Location: Remote/Hybrid Job Type: Part-Time / Full-Time (Remote or Hybrid) Experience Required: 5 to 10 years About the Role : We are seeking a highly experienced Graph Neural Network & Reinforcement Learning Engineer for a cutting-edge PCB design automation platform. The ideal candidate will have hands-on experience training GCNN pipelines and RL agents for complex optimization problems in real-world applications. Key Responsibilities : Design and train Graph Convolutional Neural Network architectures for spatial reasoning tasks Develop and optimize Reinforcement Learning agents for constraint satisfaction problems Build robust data preprocessing pipelines for graph-structured engineering data Implement multi-objective optimization frameworks with competing constraints Validate model performance on real-world design problems and production datasets Collaborate with domain experts to translate engineering requirements into ML objectives Deploy trained models in production environments with performance monitoring Must-Have Skills : 5+ years training GCNN models using PyTorch Geometric, DGL, or similar frameworks Proven experience with RL algorithms : Policy Gradient, Actor-Critic, Q-learning implementations Graph data engineering expertise : adjacency matrices, node/edge features, graph sampling techniques Data curation skills : cleaning, augmentation, and preprocessing of structured engineering data Production ML experience: model versioning, A/B testing, performance monitoring Optimization experience : multi-objective problems, constraint handling, convergence analysis Proficiency in Python, PyTorch/TensorFlow, and distributed training setups Graph-Specific Training Experience : Experience training on large-scale graphs (10K+ nodes) with efficient batching strategies Knowledge of graph convolution variants: GCN, GAT, GraphSAGE Graph augmentation techniques : node dropout, edge perturbation, subgraph sampling Experience with heterogeneous graphs and multi-relational data Understanding of graph pooling and hierarchical graph representations RL Training Experience : Environment design and custom reward function engineering Experience with continuous and discrete action spaces Curriculum learning and progressive difficulty in training Distributed RL training and parallel environment execution Knowledge of exploration strategies and handling sparse rewards Preferred Qualifications : M.Tech/PhD in Computer Science, Machine Learning, or related field Experience with spatial optimization or placement problems Background in constraint satisfaction or combinatorial optimization Prior work on engineering automation What We Offer: Opportunity to apply cutting-edge ML to solve real engineering problems Direct impact on hardware design industry transformation Flexible work arrangements and competitive compensation Equity participation in high-growth startup

Role: AI Engineer Location: Noida Mode: WFO (5 Days) Experience: 3.5 – 8 years in AI/ML Mandatory: Experience working with overseas / international stakeholders Salary: 20 - 26 Lacs Email: careers@peoplekonnect.co.in Responsibilities: · Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes. · Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms. · Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows. · Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions. · Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time. · Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant. · Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation. Skillset requirements: · Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face · Experience designing and deploying machine learning models and AI systems in production environments · Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow · Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data · Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) pipelines · Solid understanding of data security, privacy, and compliance principles, with experience implementing these in real-world projects · Strong problem-solving skills and ability to translate complex business problems into technical solutions · Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams · Experience with version control (e.g., Git) and agile development practices · Enthusiasm for learning and applying emerging technologies in AI and machine learning

About Veersa Veersa Technologies is a US-based IT services and AI enablement company founded in 2020, with a global delivery center in Noida (Sector 142). Founded by industry leaders with an impressive 85% YoY growth. A profitable company since inception. Team strength : Almost 400 professionals and growing rapidly. Our Services Include Digital & Software Solutions : Product Development, Legacy Modernization, Support. Data Engineering & AI Analytics : Predictive Analytics, AI/ML Use Cases, Data Visualization. Tools & Accelerators : AI/ML-embedded tools that integrate with client systems. Tech Portfolio Assessment : TCO analysis, modernization roadmaps, etc. Technology Stack AI/ML, IoT, Blockchain, MEAN/MERN stack, Python, GoLang, RoR, Java Spring Boot. Node.js Databases : PostgreSQL, MySQL, MS SQL, Oracle. Cloud : AWS & Azure (Serverless Architecture). About The Role We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Technical Skills Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following : Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments. Nice To Have Object Oriented Programming. Familiarity with NLP, or time series analysis. Exposure to deep learning models (RNN, LSTM) and working with GPUs. (ref:hirist.tech)

Job Description In this role, you will design and develop Artificial Intelligence models and algorithms to solve Telecom network and business problems. You will work closely with engineering, operations, and site reliability engineering (SRE) teams to ensure seamless integration of Artificial Intelligence into workflows and deliver measurable value across the organization. Additionally, you will partner with engineering and delivery teams to embed Artificial Intelligence solutions into existing systems and processes, driving continuous innovation and operational efficiency. If you have a flair for Artificial Intelligence and a passion for solving complex problems, this role is for you. How You Will Contribute And What You Will Learn Design and develop artificial intelligence models and algorithms to address Telecom network and business challenges. Integrate Artificial Intelligence solutions into existing systems by partnering with engineering and delivery teams. Leverage large language models (LLMs), multi-agent systems, and automation to enhance network operations, including self-healing and incident response. Perform research and apply the latest Artificial Intelligence advancements to improve model performance and network resilience. Analyze complex data to generate insights for network planning, service management, and automation. Document methodologies and spread knowledge to drive ongoing innovation and partnership. Key Skills And Experience You have: An Engineering degree in Computer Science or equivalent (specialization in artificial intelligence will be a plus) with 4+ years of experience in AI, machine learning, or data science . Exposure to Telecom, cloud, or network engineering is a plus. Practical experience in Python, TensorFlow or PyTorch, LangChain, Hugging Face, and vector databases. It would be nice if you also had: Experience with cloud platforms like AWS, Azure, or Google Cloud, OpenShift/ Kubernetes/Helm, and MLOps tools. Familiarity with big data technologies such as Hadoop or Spark. Knowledge of natural language processing (NLP) and computer vision. Understanding of Telecom networks (5G, 4G, SDN, NFV, OSS/BSS), DevOps, and automation will be a plus. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. About The Team As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.

Job Summary Job Title: Senior Software Development Engineer Artificial Intelligence & MLOps Location: Any Location Years of Experience: 4-6 Years Job Summary: We are seeking a highly skilled and experienced Senior Software Development Engineer specializing in Artificial Intelligence and MLOps. The ideal candidate will have a strong background in machine learning operations and software development, with a proven track record of deploying and managing machine learning models in production environments. This role requires a deep understanding of MLOps principles and practices, as well as the ability to collaborate effectively with cross functional teams to deliver high quality AI solutions. Responsibilities: Design, develop, and implement scalable machine learning models and algorithms. Manage the end to end lifecycle of machine learning models, including deployment, monitoring, and maintenance. Collaborate with data scientists, software engineers, and product managers to define and deliver AI solutions that meet business needs. Establish and maintain MLOps best practices, including version control, CI/CD pipelines, and automated testing. Optimize model performance and ensure reliability in production environments. Conduct code reviews and provide mentorship to junior team members. Stay updated with the latest trends and advancements in AI and MLOps technologies. Mandatory Skills: Strong expertise in MLOps practices and tools (e.g., MLflow, Kubeflow, TFX). Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms GCP is preferred (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Experience with data engineering and ETL processes. Strong problem solving skills and ability to work in a fast paced environment. Preferred Skills: Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of big data technologies (e.g., Hadoop, Spark). Experience with Agile methodologies and project management tools. Understanding of DevOps practices and tools. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 7 10 years of experience in software development with a focus on AI and MLOps. Proven track record of successfully deploying machine learning models in production. Excellent communication and collaboration skills. If you are passionate about artificial intelligence and have a strong foundation in MLOps, we encourage you to apply and join our innovative team at TechM.

We're Hiring! Machine Learning Engineer for a B2B SaaS based startup in Noida. 🔹 Position: Machine Learning Engineer 🔹 Experience: 3.5 Years to 5 Years 🔹 Location: Noida, Sector 90 🔹 Work Mode: 5 Days | Work From Office 🔹 Notice Period: Immediate to 30 Days Key Responsibilities Design, develop, and optimize machine learning models for various business applications. Build and maintain scalable AI feature pipelines for efficient data processing and model training. Develop robust data ingestion, transformation, and storage solutions for big data. Implement and optimize ML workflows, ensuring scalability and efficiency. Monitor and maintain deployed models, ensuring performance, reliability, and retraining when necessary. Qualifications and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3.5+ years of experience in machine learning, deep learning, or data science roles. Proficiency in Python and ML frameworks/tools such as PyTorch, Langchain Experience with data processing frameworks like Spark, Dask, Airflow, and Dagster Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML services. Experience with MLOps tools like MLflow, Kubeflow Familiarity with containerisation and orchestration tools like Docker and Kubernetes. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills. If you’re ready to take on a leadership role and thrive in a dynamic startup environment, share your profile at gautam@mounttalent.com.

Designation- CX- Capabilities & Solutions Lead- Data Scientist and Conversational AI with Google Dialogflow/Vertex.AI Role- Permanent/ Full time Notice Period- Immediate- 45 Days Experience- 12+ years Location- Noida/ Gurgaon/ Pune/ Bangalore Working Days- 5 days Work Mode- Hybrid Mandatory Skills- • Experience into Data Scientist and Conversational AI platform particularly- Google Dialogflow • Chatbot development and implementation; Gen AI • Vertex.AI/ LLM/ RAG, Hugging face/ Agentic AI • Natural Language Processing, Python/ Node.JS/ Java Skills • AI Solution Development o Design, develop, and deploy AI/ML solutions leveraging Google Dialogflow. o Develop scalable Conversational AI and Natural Language Understanding (NLU) applications on cloud platform. • Technical Leadership o Act as a technical mentor/ lead and guide to developers, enforcing coding standards, architecture patterns, and best practices. o Conduct peer reviews and ensure high code quality and performance. • Hands-on Development o Experience into- Python, Java, and Node.js any programming language. o Leverage frameworks such as TensorFlow, PyTorch, and Scikit-learn for AI/ML model development and training. • Collaboration & Strategy o Collaborate with cross-functional teams to align AI solutions with enterprise architecture. • Leadership Skills Demonstrated leadership and team management skills, with the ability to inspire, guide, and develop a diverse team of professionals. Excellent client-facing skills, including effective communication, relationship-building, and negotiation abilities. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills and the ability to work effectively in a team environment. Leadership qualities with a proactive and collaborative approach.

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Vadodara) Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, JAX, Reinforcement Learning, Scikit-learn, Generative AI, Natural Language Processing (NLP), PyTorch, Retrieval-Augmented Generation, Computer Vision An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Vadodara) Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, JAX, Reinforcement Learning, Scikit-learn, Generative AI, Natural Language Processing (NLP), PyTorch, Retrieval-Augmented Generation, Computer Vision An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Vadodara) Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, JAX, Reinforcement Learning, Scikit-learn, Generative AI, Natural Language Processing (NLP), PyTorch, Retrieval-Augmented Generation, Computer Vision An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Experience : 8.00 + years Salary : USD 3571-4285 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT-04:00) America/New_York (EDT) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Next-generation AI products) What do you need for this opportunity? Must have skills required: Experience working in startups or small teams, Background in building production-grade AI products, Exposure to LLMs, or MLOps tools, RAG pipelines, Data Pipelines, Spark, SQL/NoSQL, Tensorflow/Pytorch, GCP, Python Next-generation AI products is Looking for: Senior AI/ML Engineer – Remote (EST Hours) | Long-Term Contract Location: Remote (Work on EST Timezone) Type: Long-term Contract Salary: $60,000 – $80,000/year (USD, contract-based, DOE) About Us Company is a fast-moving startup on a mission to build next-generation AI products that push boundaries and solve real-world problems. We’re looking for highly experienced offshore engineers who are passionate about AI/ML and data engineering—and ready to take on something big with us. What We’re Looking For We’re hiring a Senior AI/ML Engineer or Data Engineer who brings both deep technical expertise and strong communication skills . You’ll collaborate closely with our core team to build smart, scalable solutions that power our vision. Requirements 8+ years of hands-on experience in AI/ML or Data Engineering Strong proficiency in Python, TensorFlow/PyTorch, Spark, SQL/NoSQL, and cloud platforms (AWS, GCP, or Azure) Proven experience with end-to-end ML pipelines, data pipelines, or model deployment Excellent communication skills in English Able to work remotely on EST hours Self-motivated, reliable, and open to long-term collaboration Nice to Have Experience working in startups or small teams Exposure to LLMs, RAG pipelines, or MLOps tools Background in building production-grade AI products Why Join Us? Fully remote Work on exciting AI challenges Simple and fast interview process (2 rounds) Join us from the start and help shape the future of the product Long-term contract with potential for permanent role No of Interview Rounds Round 1 : Initial Screening Round 2: Technical Round How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Experience : 8.00 + years Salary : USD 3571-4285 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT-04:00) America/New_York (EDT) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Next-generation AI products) What do you need for this opportunity? Must have skills required: Experience working in startups or small teams, Background in building production-grade AI products, Exposure to LLMs, or MLOps tools, RAG pipelines, Data Pipelines, Spark, SQL/NoSQL, Tensorflow/Pytorch, GCP, Python Next-generation AI products is Looking for: Senior AI/ML Engineer – Remote (EST Hours) | Long-Term Contract Location: Remote (Work on EST Timezone) Type: Long-term Contract Salary: $60,000 – $80,000/year (USD, contract-based, DOE) About Us Company is a fast-moving startup on a mission to build next-generation AI products that push boundaries and solve real-world problems. We’re looking for highly experienced offshore engineers who are passionate about AI/ML and data engineering—and ready to take on something big with us. What We’re Looking For We’re hiring a Senior AI/ML Engineer or Data Engineer who brings both deep technical expertise and strong communication skills . You’ll collaborate closely with our core team to build smart, scalable solutions that power our vision. Requirements 8+ years of hands-on experience in AI/ML or Data Engineering Strong proficiency in Python, TensorFlow/PyTorch, Spark, SQL/NoSQL, and cloud platforms (AWS, GCP, or Azure) Proven experience with end-to-end ML pipelines, data pipelines, or model deployment Excellent communication skills in English Able to work remotely on EST hours Self-motivated, reliable, and open to long-term collaboration Nice to Have Experience working in startups or small teams Exposure to LLMs, RAG pipelines, or MLOps tools Background in building production-grade AI products Why Join Us? Fully remote Work on exciting AI challenges Simple and fast interview process (2 rounds) Join us from the start and help shape the future of the product Long-term contract with potential for permanent role No of Interview Rounds Round 1 : Initial Screening Round 2: Technical Round How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Experience : 8.00 + years Salary : USD 3571-4285 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT-04:00) America/New_York (EDT) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Next-generation AI products) What do you need for this opportunity? Must have skills required: Experience working in startups or small teams, Background in building production-grade AI products, Exposure to LLMs, or MLOps tools, RAG pipelines, Data Pipelines, Spark, SQL/NoSQL, Tensorflow/Pytorch, GCP, Python Next-generation AI products is Looking for: Senior AI/ML Engineer – Remote (EST Hours) | Long-Term Contract Location: Remote (Work on EST Timezone) Type: Long-term Contract Salary: $60,000 – $80,000/year (USD, contract-based, DOE) About Us Company is a fast-moving startup on a mission to build next-generation AI products that push boundaries and solve real-world problems. We’re looking for highly experienced offshore engineers who are passionate about AI/ML and data engineering—and ready to take on something big with us. What We’re Looking For We’re hiring a Senior AI/ML Engineer or Data Engineer who brings both deep technical expertise and strong communication skills . You’ll collaborate closely with our core team to build smart, scalable solutions that power our vision. Requirements 8+ years of hands-on experience in AI/ML or Data Engineering Strong proficiency in Python, TensorFlow/PyTorch, Spark, SQL/NoSQL, and cloud platforms (AWS, GCP, or Azure) Proven experience with end-to-end ML pipelines, data pipelines, or model deployment Excellent communication skills in English Able to work remotely on EST hours Self-motivated, reliable, and open to long-term collaboration Nice to Have Experience working in startups or small teams Exposure to LLMs, RAG pipelines, or MLOps tools Background in building production-grade AI products Why Join Us? Fully remote Work on exciting AI challenges Simple and fast interview process (2 rounds) Join us from the start and help shape the future of the product Long-term contract with potential for permanent role No of Interview Rounds Round 1 : Initial Screening Round 2: Technical Round How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Experience : 8.00 + years Salary : USD 3571-4285 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT-04:00) America/New_York (EDT) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Next-generation AI products) What do you need for this opportunity? Must have skills required: Experience working in startups or small teams, Background in building production-grade AI products, Exposure to LLMs, or MLOps tools, RAG pipelines, Data Pipelines, Spark, SQL/NoSQL, Tensorflow/Pytorch, GCP, Python Next-generation AI products is Looking for: Senior AI/ML Engineer – Remote (EST Hours) | Long-Term Contract Location: Remote (Work on EST Timezone) Type: Long-term Contract Salary: $60,000 – $80,000/year (USD, contract-based, DOE) About Us Company is a fast-moving startup on a mission to build next-generation AI products that push boundaries and solve real-world problems. We’re looking for highly experienced offshore engineers who are passionate about AI/ML and data engineering—and ready to take on something big with us. What We’re Looking For We’re hiring a Senior AI/ML Engineer or Data Engineer who brings both deep technical expertise and strong communication skills . You’ll collaborate closely with our core team to build smart, scalable solutions that power our vision. Requirements 8+ years of hands-on experience in AI/ML or Data Engineering Strong proficiency in Python, TensorFlow/PyTorch, Spark, SQL/NoSQL, and cloud platforms (AWS, GCP, or Azure) Proven experience with end-to-end ML pipelines, data pipelines, or model deployment Excellent communication skills in English Able to work remotely on EST hours Self-motivated, reliable, and open to long-term collaboration Nice to Have Experience working in startups or small teams Exposure to LLMs, RAG pipelines, or MLOps tools Background in building production-grade AI products Why Join Us? Fully remote Work on exciting AI challenges Simple and fast interview process (2 rounds) Join us from the start and help shape the future of the product Long-term contract with potential for permanent role No of Interview Rounds Round 1 : Initial Screening Round 2: Technical Round How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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 Title: Senior MLOps Engineer Location : NCR Location (WFO) Note: DevOps -Knowledge is fine Experience Range: 6-12 years Primary Key skills: MLOps Key Responsibilities: Design, develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, maintenance, and scalability. Automate the retraining, testing, and validation processes for ML models. Collaborate with cross-functional teams, including data science, software engineering and DevOps, to integrate ML models into production systems. Monitor model performance, diagnose issues, and implement improvements. Ensure scalability, reliability, and compliance of ML systems in production. Optimize infrastructure costs while maintaining high system performance. Stay up-to-date with the latest developments in MLOps, machine learning and AI, and apply new techniques to improve existing models and processes. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. Experience: Solid experience as a MLOps Engineer, Machine Learning Engineer, DevOps Engineer, or similar role. Experience in the retail industry or e-commerce is highly desirable. Technical Skills: Strong experience with Infrastructure as Code frameworks and languages (Terraform, Bicep or ARM) Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.). Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes). Proficiency in CI/CD tools and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of model monitoring and evaluation metrics. Familiarity with version control systems, such as Git, and model versioning tools like MLflow or DVC. Experience with Generative AI product deployment is desirable. Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop is desirable. – some of these System level architecture understanding including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline. Soft Skills: Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. A proactive attitude and a passion for continuous learning and innovation.

Job Description Do you want to be a part of changing healthcare? Oracle is excited to be using our resources, knowledge, and expertise—as well as our successes in other industries—and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it’s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care. Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you’ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences. About the Team: As part of the Oracle Health Foundations Organization, you’ll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale. As a Machine Learning Engineer, you’ll contribute to the design and delivery of production-grade ML models and services that enhance system observability, incident prediction, and product resilience. You’ll work closely with software engineers, site reliability engineers, and product teams to develop, deploy, and improve ML-based solutions in a cloud-native environment. This role offers a strong growth path toward deeper technical ownership and leadership. Responsibilities Responsibilities: Build and deploy machine learning models that detect anomalies, predict incidents, and support automated reliability features. Develop production-ready software and services to integrate ML models with observability and operational pipelines. Contribute to the full ML lifecycle—from data ingestion and model training to validation, deployment, and monitoring—using modern MLOps tools and practices. Collaborate with other engineering and product teams to align ML solutions with business and system requirements. Analyze large-scale telemetry data (logs, metrics, traces) to identify patterns, root causes, and opportunities for improvement. Help maintain and evolve our ML infrastructure, data pipelines, and observability integrations. Stay current with advancements in applied machine learning, particularly time series modeling, anomaly detection, and reliability-focused ML. Requirements: 5+ years of industry experience in software engineering or applied machine learning, with experience deploying ML models in production. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of the end-to-end ML lifecycle and experience with MLOps practices (model packaging, deployment, monitoring, etc.). Experience working with observability data (e.g., logs, metrics, traces) and time series data. Experience developing APIs, backend services, and working in cloud-native environments (OCI, AWS, GCP, or Azure). Strong knowledge of SQL and exposure to distributed data processing tools (e.g., Spark, BigQuery, Kafka, Flink). Comfortable working on cross-functional teams and contributing to technical discussions and code reviews. Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or a related technical field is preferred. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

All Positions Assistant Manager- Data Science Noida | 7-10 years Apply Now Welcome to BUSINESSNEXT, where we believe in maximizing your true potential while doing something purposeful. Our commitment to innovation and forward-thinking is reflected in everything we do, and we're looking for like-minded individuals to join our team. If you're looking for a rewarding career in a company that values your creativity, we invite you to explore this opportunity. The Opportunity We are looking for a highly skilled and technically proficient AI Lead with 5-7 years of experience to lead our AI initiatives, with a specific focus on Generative AI, Natural Language Processing (NLP), and Machine Learning (ML). The ideal candidate should have hands-on experience in delivering and commercializing AI solutions, with deep expertise in Generative AI technologies and frameworks. An understanding of computer vision is a plus. This role requires both technical depth and leadership skills to drive AI innovation and deploy production-grade AI models. Objectives Aligned To This Role Fostering inventive concepts and effectively implementing strategic initiatives to attain significant outcomes in the realm of product development. Join our team of Engineers and be a part of our reforming BusinessNext Platform. Within this realm of cutting-edge technology, you'll play a pivotal role in shaping the future of digital innovation on a global scale. What would you do? Lead AI projects focused on Generative AI, NLP, and ML, ensuring successful deployment and commercialization of AI-driven solutions. Provide deep technical guidance and hands-on development expertise, specifically in Generative AI technologies (e.g., GANs, VAEs, Transformers). Design, build, and scale AI models across various domains, ensuring they meet business objectives and performance metrics. Collaborate with data scientists, machine learning engineers, and product teams to integrate AI models into production environments. Manage the end-to-end lifecycle of AI projects, from ideation, research, prototyping, and development to final product delivery and commercialisation. Stay current with the latest advancements in Generative AI and NLP, and proactively apply emerging trends and technologies to ongoing projects. Lead and mentor a team of AI engineers, fostering innovation and a results-driven approach. Drive the development of robust AI pipelines and solutions that are scalable, efficient, and aligned with business goals. Present technical and non-technical stakeholders with project progress, key findings, and commercial strategies. Ensure AI models are developed with strong considerations for performance, accuracy, scalability, and ethical AI practices. Required Skills 6-10 years of experience in AI/ML, with in-depth expertise in Generative AI and NLP technologies. Hands-on experience with Generative AI techniques such as GANs, VAEs, diffusion models, large language models (LLMs), Transformers, Agentic frameworks Proven track record of successfully commercialising multiple AI projects. Strong knowledge of ML algorithms, statistical models, and deep learning techniques. Experience in deploying AI models into production at scale, using cloud platforms like AWS, Azure, or GCP. Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and Hugging Face. Good understanding of Computer Vision is a plus. Strong leadership and project management skills with the ability to manage multiple projects simultaneously. Ability to mentor and guide a technical team while also being hands-on with AI development tasks. Excellent problem-solving skills and a business-focused mindset for AI solution delivery. Educational Qualifications Engineering/ equivalent technical qualification from a reputed college/ university. Good understanding of current technology trends along with ultra-scalable systems. Proficient in effectively communicating with internal stakeholders across various domains, including technology and business. Meet The Team Connect with the team that loves the challenge of solving business problems, just like you! Ravi Kumar SVP - Datanext Why BusinessNext? WIIFM, you ask? 😊 Well, lots of real, get-your-hands-dirty gigs, building cool products for the BFSI industry that is rapidly digitizing. Expect a challenging work experience that you’re unlikely to get in a Services Company. Come, #Unlimit your true Potential today to be #UpForTomorrow We exist for growth and development: We’re a company that is built on a Coaching Culture, committed to supporting employees to reach their full potential, helping them achieve their professional goals while contributing to the Moonshot. We thrive on clear, lucid Objectives & Key Results (OKRs). A trusting, transparent relationship where an Individual’s OKRs, lock into the department’s which, in turn, lock into the Company’s! We thrive by being proactive: Our Brand tagline "Up For Tomorrow" implies being proactive and forward-thinking, and our Culture Philosophy of "Unlimit" speaks of having no limits on what one can achieve. You can expect a culture that will constantly encourage you to take initiative and be proactive in your career, taking charge of your own professional development. Caring for People is our Business, and a Values-led Culture is our Profit. We just happen to use tech in the process. We’re a bunch of friends with Benefits: Coaching Sessions, Training and development opportunities, flexible working hours, and remote work options are just some of the perks of this Culture. Designed around you the employee so you can take advantage of opportunities to grow and develop and be ready for the future. Some quick facts Ours is an inspiring Garage-to-Unicorn Product story that has been scripted by gifted technologists who’re just like you. We are among the fastest growing SaaS companies in India, especially in the BFSI industry, with a global footprint, serving over 1 million+ users across 50+ countries Our clientele is based out in Asia Pac, USA, Middle East, South Africa, Australia, etc. Our product engages millions of global users, and we keep adding millions every month We are on a mission We sure are - on an 8-year Moon-shot Mission to be specific. We want to accelerate the World’s transition to intuitive, digital, and joyful financial experiences and become a Decacorn in the process. Does this excite you, then join us! 😊 Apply Now