1042 Llm Jobs - Page 2

Required Skills and Qualifications: 8+ years of experience in Data Science and AI project execution and delivery. Proven experience in delivering enterprise-scale AI/ML solutions. Hands-on expertise in at least two of the following: predictive modeling, NLP, Gen AI, LLM-based applications. Experience in Gen AI solutions including LLM fine-tuning, prompt engineering, and RAG implementations. Strong knowledge of Python, ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and Gen AI frameworks (LangChain, LlamaIndex, Hugging Face). Familiarity with cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate). Strong communication and leadership skills, with the ability to guide technical teams and engage with business stakeholders. Good to Have: Experience in Data Engineering tools and pipelines (Spark, SQL, Airflow, Databricks, etc.) Experience in handling structured and unstructured data. Exposure to MLOps tools and practices (MLflow, Kubeflow, Azure ML, etc.) AI/ML-related certifications from AWS, Azure, or GCP.

Handson exp with LLM-based solution experience using OpenAI, Gemini, etc. Must have skills in fine-tuning, RAG, agents, vector DBs (ChromaDB, FAISS, Pinecone), LangChain, Hugging Face, TensorFlow, PyTorch. 1-2 GenAI implementations & 2+ yrs in ML/DL.

Experience : 5 - 7 years Job Type: Hybrid - 3 days Location: Pune , Bengaluru, Gurugram Job Description: The purpose of this role is to take responsibility for conducting automated and manual tests to ensure the software created by developers functions properly and meets the business needs as well. Assessing code is one of the main duties of test engineers. This role is responsible for fully testing the product or system and tracking issues and defects at all levels of their testing. Requirements : Bachelor's/Master's degree in Computer Science or related field. 5-6 years of experience in the Quality Engineering (QE) domain. Good understanding of Generative AI tools and platforms - especially LLMs. Foundation Knowledge of Gen-AI concepts, technologies, tools and frameworks Basic understanding of LLM models, prompt engineering, and some exposure to AI Art models and tools Detailed understanding and solid hands-on working knowledge of LLM evaluations, and using evaluators to validate the quality of LLM outputs. Solid knowledge of software testing methodologies, tools, and processes. Excellent analytical and problem-solving skills. Effective communication and collaboration skills. Proven ability to lead and mentor team members. Ability to lead quality assurance for data-driven and data-intensive apps and solutions Ability to prepare and organize test data sets and manage large amounts of test data Performing thorough data validation and verification to ensure accuracy and consistency of data. This includes developing and executing test plans, scripts, and tools for data verification. Build and execute test plans for workflow driven apps and solutions, and pipeline automation solutions Developing and implementing automated testing tools and frameworks to streamline QA processes. Optimize testing procedures for efficiency and effectiveness. Responsibilities : >Take ownership of solution quality for a digital product or platform >Collaborate closely with the Dev team and Product team to drive quality engineering and assurance for an existing digital product >Ensure successful client adoption and client onboarding as new clients are onboarded onto a digital product/platform. >Lead and execute comprehensive automated testing strategies for cloud applications, ensuring high quality and reliability. >Hands-on experience with API test tools (ex. Postman, SOAP UI, etc.) , API test automation >Hands-on experience with Test Automation overall and the ability to automate all aspects of testing, from UE to Back-End Testing >Proficient in designing, implementing, and maintaining automated test scripts. >Thorough understanding of Gen AI automation principles and implementation. >Solid understanding of using LLM Evaluation frameworks and libraries (such as RAGAS and others) to perform automated evaluation of LLM Outputs >Solid understanding of LLM Quality metrics and validating AI generated outputs > Proven experience on testing of creative apps . > Experience with testing mobile apps is an advantage (nice-to-have) > Collaborate with cross-functional teams to define testing requirements and ensure effective test coverage. >Conduct test case reviews, identify gaps, and provide constructive feedback to improve overall test quality. >Analyze and troubleshoot complex issues in a timely manner, documenting and communicating findings. >Stay updated with industry best practices and emerging technologies in QA and automation. >Mentor and guide junior QA engineers, fostering a collaborative and knowledge-sharing environment. >Continuously improve testing processes and methodologies to enhance efficiency and effectiveness.

Roles and Responsibilities: Working along with the Business Analyst, Testing teams and coordinating for smooth delivery aligned with business requirements Design, develop, and deploy advanced AI/ML models across NLP, Computer Vision, and Generative AI projects. Research and implement GenAI applications using Azure OpenAI, MS Copilot Studio, Azure AI Foundry, and Azure Cognitive Services. Build agentic AI systems using frameworks like MS Autogen, LangChain, and Semantic Kernel for autonomous workflows and task orchestration. Performing code optimization and identifying potential issues and defects. Adhere to industry standard best practices for AI/ML development, evaluation and deployment, ensuring maintainable, scalable, and secure solutions. Analyzing the technical & functional feasibility of new use cases which needs to be automated Working on test procedures and scenarios for the pre-UAT phases Implementing change requirements supporting a structured change control process Monitoring and working on solving issues on day-to-day basis for the solutions developed and deployed Working with Business Analyst and SME for feasibility analysis Attending meetings for the solution development and problems identified with the solution Capable of taking up complex challenges in AI/ML/GenAI domain Mentor and train fellow COE members to cross skill on AI/ML technologies Knowledge and Skills Requirements: Agile mindset and team player. 7+ years of hands-on experience designing, developing, deploying, and maintaining AI/ML and Data Science solutions. Good to have experience in designing, developing, deploying and supporting UI/UX/Front end for the AI/ML solutions. Solid experience in Python with libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, SpaCy, and OpenCV. Proven expertise in GenAI and Agentic AI using frameworks like MS Autogen, LangChain, Semantic Kernel, and prompt engineering techniques. Strong experience with RAG pipelines, vector stores (e.g., Azure Cognitive Search,), and enterprise knowledge base integration. Proficient in Azure AI ecosystem: Azure Cognitive Services (Language, Vision, Speech), Azure Machine Learning, Azure AI Foundry, and Azure DevOps. Familiar with Git for version control and collaborative development. Strong knowledge and experience using LLM models. Hands on experience in designing, developing, and consuming SOAP/REST APIs Experience with Lean / Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision Good verbal and written communication skills Willing to work in 24/7 shifts.

About the Role GeoTech Infoservices Pvt. Ltd. is seeking a Lead Python Developer to join our growing team of skilled technologists. In this role, you will take ownership of complex and high-impact software solutions, leveraging the power of Python and modern data processing tools. You'll lead a team of developers while also being hands-on with codedesigning, developing, and delivering innovative applications that support our core business objectives.You will also work on data engineering initiatives, including the development of scalable data pipelines and integration with machine learning systems. If you’re passionate about high-quality software, eager to learn and apply the latest tech, and capable of leading with vision and empathy—this is the role for you. Key Responsibilities Lead and mentor a team of Python developers, promoting best practices and fostering a collaborative work culture. Design, develop, and maintain efficient, reusable, and reliable Python code. Build scalable and high-performance data processing pipelines for machine learning and AI applications. Collaborate with cross-functional teams (design, product, QA, DevOps) to define, design, and deliver robust features. Perform code reviews, provide technical guidance, and ensure code quality through unit testing and best practices. Debug and resolve technical issues in production and development environments. Stay updated with emerging Python tools, trends, and technologies—especially in AI, data science, and cloud computing. Implement solutions integrating modern ML/AI capabilities including transformer-based models, vector databases, embeddings, and retrieval-augmented generation (RAGs). Required Qualifications & Skills 5+ years of proven experience as a Python Developer in a professional setting. Bachelor’s degree in computer science, Software Engineering, or a related field. Strong command of Python programming and frameworks, with exposure to: Libraries such as NumPy, SciPy, Pandas, Dask, spaCy, NLTK, Scikit-learn, PyTorch Experience working with pre-trained LLMs, tokenization techniques, and transformer architectures Understanding of Vector DBs, embeddings, and RAG architectures Frontend development knowledge (HTML, CSS, JavaScript) Solid experience with SQL and NoSQL databases Excellent analytical thinking and problem-solving skills Strong communication skills and the ability to collaborate effectively in a team Preferred Qualifications Experience with Python web frameworks such as Django, Flask, or Pyramid Familiarity with cloud platforms like AWS, Google Cloud Platform, or Microsoft Azure Hands-on experience with data science, machine learning workflows, and deployment pipelines Exposure to containerization tools (Docker, Kubernetes) and CI/CD practices

Role & responsibilities Python, Aiml, AWS and LLM

Hello Everyone currently hiring for - GEN AI Dev experience 3 to 6 years Location only Bangalore immediate to serving notice period may apply Good in coding (Preferably Python) and DSA Familiarity with React, HTML, CSS, JS or similar frameworks Familiarity with HTTP, REST, microservices, concurrency and Multithreading Experience working with Linux OS, TCP/IP networks, Database, Queues, caching Good problem solving and communication skills Willingness to work in a dynamic and fast paced environment. 2-4 years of experience with a Bachelor / Master's Degree in Computer Science or equivalent. Ownership and commitment towards work Experience with Gen-AI technologies (LLM prompt engineering)

In this role at Target asa Lead DataScientist, you'll: Develop and deploy scalable deep learning models to improve the search experience of Target guests Architect and implement large-scale AI systems using test-driven development practices Build NLP technology for query and document analysis, processing, and understanding Create data pipelines for feature/label extraction and generation Conduct data analysis to identify opportunities and improve models Conduct research to advance the state-of-the-art machine learning and NLP technologies Contributing to the operations/building of AI pipelines Adopting Target's infrastructural platforms and operationalize tools and systems around them Mentor and partner with other engineers to develop software that meets business needs Follow agile methodology for software development and technical documentation Innovate constantly and keep systems up to date with current technologies What we're looking for: MS or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or related field Research or industrial experiences in relevant fields, such as information retrieval, machine learning, NLP, or recommendation systems 8+ years of experience in deploying machine learning algorithms into production environments. Proficient in Python or Java with Strong coding and problem-solving skills Solid modeling skills in Python Good understanding of search indexing, retrieval, and ranking Extensive experience in implementing and integrating ML models in production with high traffic Experience querying large databases with SQL, HQL, or some variations Experience with Semantic Search is a plus. Experience in Tuning LLMs is plus. Proven track record of achieving significant engineering or academic results. Excellent interpersonal and communication skills to work with global teams .

Dear Candidate, Greeting from Sigma Job Title AI FS Banking & Capital Consultant Location Gurgaon/Bangalore/Mumbai Must-Have Skills: Data Science Python SQL Good-to-Have Skills: GenAI (LLMs, RAG, LangChain) Cloud (Azure/AWS) Risk/Compliance Analytics Roles & Responsibilities: Translate business problems in banking and capital markets into ML/AI frameworks. Build and deploy models in credit risk, fraud detection, transaction monitoring, and portfolio analytics. Collaborate with stakeholders across banking, NBFC, and capital markets clients. Leverage Python, SQL, and cloud tools to create scalable solutions. Work with structured and unstructured financial data (text, docs, transaction logs). Contribute to solutioning and innovation across FS use cases. Exposure to regulatory compliance, model governance, and financial reporting preferred. If interested, please share your updated resume along with the following details: Current CTC: Expected CTC: Current Company: Total Years of Experience: Relevant Experience: Do you have any offer in hand: Current Location: Preferred Location:

Your Role Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. Experience with AI and Machine Learning algorithms. Your Profile Experience with Gen AI and Machine Learning algorithms. Experience with Natural Language Processing (NLP). Familiarity with AI platforms and understanding of their capabilities and limitations. Ability to design & implement AI models. What youll love about working here We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programs in the latest technologies such as Gen AI

Senior AI/ML Engineer Location: Chennai, Bangalore, Noida and Pune Required Qualifications 5+ years of professional experience in AI/ML development Strong programming skills in Python and related ML frameworks Proven track record of delivering GenAI systems to production Effective communication with client Technical Skills & Experience Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making Preferred Skills Experience with distributed computing and large scale data processing Knowledge of AI safety and responsible AI development practices Familiarity with AI research papers and ability to implement novel approaches Experience with A/B testing and experimental design Strong documentation and technical writing abilities Personal Qualities Strong problem solving and analytical skills Excellent communication and collaboration abilities Self motivated with a passion for staying current with AI advancements Ability to work independently and as part of a team share CV to hrajasekaran@aziro.com

Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

You will be responsible for managing Data Science and Machine Learning projects with a focus on AI applications. The role is based in PAN India and follows a Hybrid work mode. Ideal candidates should have 12 to 16 years of experience in Machine learning, NLP, computer vision, gen AI, or LLM, with a mandatory requirement of a Full-time PhD from tier1 institutions. A minimum of 5 years of post-PhD experience is required for candidates. Professors with teaching experience in the specified domains from tier1 institutions are also encouraged to apply. As an AI/ML Engineer, your primary role will involve developing applications and systems utilizing AI tools and Cloud AI services. You will be expected to create application pipelines on the cloud or on-premises with production-ready quality. The role may include working on GenAI models, deep learning, neural networks, chatbots, and image processing among other tasks. Key skills required for this position include expertise in Computer Vision, while additional skills are considered beneficial but not mandatory. The educational qualification sought is a Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, and Statistics from reputed institutes such as IITs, IISc, IIITs, and ISIs. We are seeking an innovative AI Research and Innovation Practitioner who can develop new algorithms, enhance existing models, and explore novel AI applications to solve complex challenges faced by clients. The position offers opportunities to work across various AI areas, including Speech and Audio, Computer Vision, Natural Language Processing, and Multi-modal AI. Emerging research tracks on Agentic AI autonomous systems are also part of the role, focusing on goal-driven intelligent systems that can reason, plan, and adapt using AI technologies.,

You will be responsible for functions, activities, and skills required for the analysis, design, coding, integration, test & maintenance of Intelligent Document Processing modules and systems. Your main focus will be on building NLP based solutions for query and document analysis, processing, information extraction, document classification, and context-based information retrieval. Additionally, you will conduct research to advance the state-of-the-art Deep learning and NLP technologies. Your role will involve building knowledge of the organization, processes, and customers. You should have knowledge and experience in your own discipline while continuously acquiring higher-level knowledge and skills. You will receive a moderate level of guidance and direction, with moderate decision-making authority guided by policies, procedures, and business operations protocol. In terms of technical skills, you should have proficiency and experience working in the technical area of Intelligent Document Processing, including Digitization, OCR/ICR/OMR, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, DL, NLP, etc. Experience in designing & developing highly scalable templates and training documents on IDP for efficient data extraction from semi/un-structured PDFs or images is essential. Familiarity with Docker, flask APIs, Redis, and Celery is a must. You will closely work with Solution Architects/Team leads, prepare technical design documents, and implement automated deployment. Understanding and practicing AGILE Methodologies, Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, Github, Team Foundation Server), working with Relational Databases, SQL Scripting (MS SQL Server), and clear understanding of Architecture and infra requirements are crucial for this role. Experience or proficiency in Python would be useful for this position. This is a fully remote position.,

You will be part of the AI/HPC engineering team specializing in platform standardization initiatives, innovation, testing, and optimization of various AI technologies. Your role will involve installation, administration, troubleshooting, and analytical skills in technology stacks such as Linux, Kubernetes, SLUM, Nvidia BCM, and open-source infrastructure tools like Ansible and scripting. As a qualified candidate with a B.E/B.Tech degree and over 7+ years of experience in the IT Infrastructure industry, including 7 to 8 years in HPC and/or AI technology, you should possess a strong knowledge of scripting and Linux, with a minimum of 2 years in Kubernetes. Your responsibilities will include managing, installing, configuring, deploying, troubleshooting, and administrating open-source HPC software like BCM, SLUM, Ansible, and ELK. Additionally, you should have a good grasp of Linux OS with scripting, knowledge in BCM, Nvidia GPU, and Cuda, and experience with Ansible playbook and managing HPC environments. Exposure to Python scripting and familiarity with at least one of the LLM/Generative AI and GPU offerings on public clouds such as AWS, Azure, or Google Cloud will be beneficial. You should also have experience in using DevOps tools for deploying and managing tools like Jenkins, Git, SonarQube, Bugzilla, and Harbor Registry. It would be advantageous if you have knowledge in networking concepts like VLAN, VXLAN, InfiniBand, IP Subnetting, routing, and firewall, as well as in storage technologies such as DDN, Parallel FS, object storage, and NFS. Familiarity with infrastructure components like HP/Dell rack servers and GPU, and management/monitoring tools like Zabbix, Promotus Grafana, and SNow will also be valued.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Senior AI Engineer Experience: 4 - 9 Years Exp Salary: Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: NLP AND LLMs AND Python AlphaSense (One of Uplers' Clients) is looking for: Senior AI Engineer About the Role: Job Description: About AlphaSense: The worlds most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: AlphaSense is seeking a passionate Senior AI engineer to join our AI & Search mission. This cluster of teams is responsible for developing cutting edge deep learning, NLP, search, and next-generation Generative AI platform powering AlphaSense’s AI & Search product features. As part of this team, you will collaborate with talented engineers to deliver scalable solutions for our world-class AI-powered search platform. What You’ll Do: Architect, design, and implement highly scalable services for AlphaSense AI and Search products. Improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments. Deploy AI and Search services to both SaaS and single-tenant cloud environments. Translate product requirements into software architectures in collaboration with Product Management. Solve challenges that come along with working with large language models (high latency, variance, etc.), leading to a defensive, fault-first mindset. Provide technical leadership and implement best practices for software development. Who You Are: Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale. Extremely proficient in Applied LLM/NLP, developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, back-end web frameworks like FastAPI. Hands on experience building and deploying Open Source and Commercial LLMs like Llama, Claude etc., deep understanding of Prompt Engineering. Deep, hands-on experience across a few back-end web frameworks like FastAPI, Django, Sanic etc. Experience in leading teams and/or projects in a full-stack environment. Excellent communication, organizational, problem-solving, debugging, and analytical skills. Experience designing large-scale software systems and writing high-quality code and tests. Which includes handling error cases, asynchronous code, streaming data, caching, logging and analytics for understanding behavior in production. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure. Experience in deploying AI and search services (e.g. vector search) to single-tenant cloud environments. Knowledge of modern development practices, including CI/CD pipelines and automated testing frameworks. Experience in optimizing the performance and cost of cloud services. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud: We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role & responsibilities AI/ML Python developers with Devops 2-3 Deployment(Mandatory). Machine Learning Model Experience. Either AWS Services( Bedrock, sagemaker, EKS, Lambda) / Azure Services is Mandatory Candidates need to work on Gen AI Projects 5yrs - 8yrs - 17.5 LPA 8yrs + - 21 LPA Bangalore & Mumbai

Role & responsibilities AI/ML Python developers with Devops 2-3 Deployment(Mandatory). Machine Learning Model Experience. Either AWS Services( Bedrock, sagemaker, EKS, Lambda) / Azure Services is Mandatory Candidates need to work on Gen AI Projects 5yrs - 8yrs - 17.5 LPA 8yrs + - 21 LPA Bangalore & Mumbai

The Senior Statistical Analyst position is ideal for candidates with working knowledge in data science tools & practice as well as qualitative research methods. This position will be mainly involved in the analytical aspect of the research and development efforts associated with the various Comscore panels, a valuable asset unique in the industry. It will entail a deep understanding of methodology and production of Comscore's panel processes, creating KPIs for mission-critical production jobs, diagnosing and resolving data issues, proposing and implementing data solutions for panel assets, and liaising with other stakeholders with different backgrounds. Being detail-oriented is a must, and a big plus will be given to candidates who have experience implementing statistical models in a production environment while being adept at communicating data solutions in both plain English and technical language. Creating ad-hoc and reusable data solutions that drive effective insights and productivity. Troubleshooting data issues and building automatic tools that enable minimal manual intervention. Proposing and implementing improvement plans for panel assets. Identifying shortcomings and inefficiency in panel processes and implementing optimization plans independently. Helping to further best practice in the Panel team in various areas such as documentation, analysis reproducibility, data assets management, etc. Collaborating with teams in Software Engineering, Operations, and Product Management to design processes that help deliver quality data in a timely manner. Bachelor's Degree and above in Statistics, Data Science, or another math/engineering field. Required: professional (i.e. working) experience with a) 5+ years with data science projects with large datasets; b) 2+ years with SQL; c) 2+ years with Python; d) 1+ years with a workflow management system such as Airflow; e) 2+ years with Microsoft Excel. Not required but a plus: a) professional experience with building dashboards in PowerBI/Tableau/Superset; b) experience implementing statistical models in a production environment; c) experience with AWS; c) experience implementing data solutions using LLM in the data science space. The regular hours for this position will cover a combination of business hours in the US and India typically 2 pm-11 pm IST. Occasionally, later hours may be required for meetings with teams in other parts of the world. Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required. Comscore offers a collective Private Medical Insurance scheme which is 100% covered by Comscore. The benefit is applicable to employees, an employee's spouse, up to two children and parents. Provident Fund: Comscore bears both the employee and employer contribution. Comscore offers market competitive annual leave of 26 Annual Leave Days (8 Casual and 18 Privilege), following local guidelines and practices. National Holidays and Festival Holidays: 10 Days. Sick Leave: 10 Days. Additional Leave: Paternity, Bereavement, Marriage, Maternity, Additional Pregnancy/Birth Related Leave. Comscore offers a week of Company-paid leave over the Christmas/New Year period. Early releases on Fridays are subject to manager approval. Internal Career Development Opportunities (minimum of 6 months tenure in the current position and in discussion with supervisors). Access to hundreds of professional e-learning courses, specifically created for Comscore. Encouragement of innovative ideas, communication, and joint success. Comfortable, casual work environment. Opportunity to become a global engineer with exposure to markets across the world.,

You are urgently hiring for a Software Engineer [Python] role with a focus on Core Platform Engineering for one of your direct clients in Pune on a Full-Time Contract basis. The ideal candidate should have 5-8 years of experience, with a preference for domain knowledge in Investment Banking. As a Software Engineer, your primary responsibility will be collaborating with Data Scientists and AI Engineers to develop and integrate enterprise-wide, scalable backend services and tools for agents. You will also work on intuitive user interfaces that support the deployment and usability of AI-driven applications. Your technical and domain skills should include proficiency in Python, RESTful APIs & Integration, Cloud Platform (Azure), SQL, CI/CD. Additionally, knowledge in Financial Services Document Management and Processing would be beneficial. Furthermore, familiarity with Cloud Azure, Enterprise Integration, microservices, server-side frameworks (such as Kafka, REST APIs, Flask), and programming languages like Python is essential for this role. Experience with DevOps practices, particularly in CI/CD, will also be valuable to succeed in this position.,

As an AI Engineer at Xurrent, you will play a crucial role in the development of platforms and solutions that drive the transformation of Service and Operations Management through AI technologies. Your primary responsibilities will involve collaborating with the R&D team to deliver AI software encompassing data engineering, prompt engineering, algorithms, and APIs. Your performance will be gauged based on your ability to generate production-ready code, prototype swiftly for stakeholders, and maintain high code quality as a senior member of the team. You will also be responsible for conducting code reviews and working closely with DevOps and MLOps to ensure a robust deployment and testing pipeline. Responsibilities: - Collaborate with R&D team members to identify functional and non-functional requirements for AI-related software adjustments or extensions and incorporate them into AI RFCs. - Assist product management in developing high-level product specifications related to artificial intelligence, focusing on system integration and feasibility. - Develop software adjustments and extensions that align with specifications, requirements, and coding standards. - Provide technical guidance and coaching on artificial intelligence to fellow R&D members. - Ensure that AI software used in Xurrent services meets quality, security, and extensibility standards. - Actively contribute to the continuous improvement of AI software in Xurrent services through active development participation. Requirements: - Demonstrated proficiency in developing AI features using LLM. - Proven track record in developing, deploying, maintaining, and enhancing machine learning models. - Experience in creating and managing data systems like feature stores and data pipelines for AI and machine learning. - Ability to translate product requirements into technical specifications. - Background in a production engineering environment. This role at Xurrent offers an exciting opportunity to be at the forefront of AI innovation in Service and Operations Management. If you are passionate about leveraging AI technologies to drive impactful changes, this position is tailored for you.,

The ideal candidate should have a minimum of 5-10 years of experience in data science with a strong proficiency in Python programming. Additionally, the candidate should have at least 4 years of experience in Machine Learning/Natural Language Processing (NLP), with a minimum of 1.5 years in Large Language Models (LLM) & Generative AI (GenAI) technologies. Proficiency in database management for at least 2 years is required, along with 1+ years of experience in cloud deployment of ML models/Python applications on Azure or AWS. Familiarity with LLMOps is considered a plus. As a part of the role, the candidate will be responsible for leading the development, deployment, and optimization of ML, NLP, and LLM/GenAI solutions. This includes the development and maintenance of Python-based ML pipelines, as well as managing associated databases. The candidate will also be tasked with deploying AI models on Azure/AWS, ensuring performance and scalability. Additionally, the candidate will be expected to stay updated on advancements in ML, NLP, and GenAI technologies and provide mentorship to team members. Implementing LLMOps best practices for efficient model lifecycle management will also be a key responsibility.,

Role & responsibilities SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications: Educational Background: Degree in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 3+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

You possess experience in direct sales of IT solutions and services, specifically within a hunting role in the U.S. market. You will be responsible for performing in-depth market research to identify industry segments that could benefit from AI-driven digital and business solutions. You will need to develop and articulate compelling value propositions based on AI technology and industry insights to engage potential clients. Understanding and addressing the specific challenges of clients/leads, demonstrating how AI solutions can optimize and automate Operations, Conversations, Digital Experience, Customer Experience, and Employee Experience is crucial. Your responsibilities will include executing targeted lead generation campaigns through outreach, content marketing, and industry events to attract prospects. You will work closely with the Global Business Development team for smooth lead hand-off and maintain relationships with key stakeholders in target organizations through customized presentations and demonstrations of AI capabilities. Efficient tracking, progress monitoring, and data accuracy will be done using CRM and lead management tools. Key Responsibilities: 1. Inside Sales: - Proactively identify and generate new business opportunities through outbound calls, emails, and lead nurturing. - Follow up on inbound inquiries and leads generated from marketing campaigns. - Build and manage a pipeline of prospective clients by understanding their needs and offering tailored solutions. - Achieve and exceed monthly/quarterly sales targets and KPIs. 2. Client Handling: - Maintain a professional relationship with existing clients, ensuring excellent customer service and satisfaction. - Conduct discovery calls to understand client requirements and provide appropriate solutions. - Manage and resolve client inquiries, complaints, or issues promptly. - Work closely with CTO, CTO, CEO, VP, Operations Manager, Sales Director management, and service delivery teams to ensure a seamless client experience. Required Skills and Qualifications: - Bachelors degree in Business, Marketing, or a related field. - Proven experience in inside sales, telesales, or client engagement. - Excellent verbal and written communication skills. - Strong negotiation and persuasive skills. - Ability to build rapport and foster relationships over the phone and in virtual meetings. - Experience with CRM tools such as Salesforce, HubSpot, or Zoho. Key Attributes: - Highly motivated and target-driven. - Strong problem-solving and analytical skills. - Team player with a proactive and positive attitude. - Ability to multitask and manage time effectively. What We Offer: - Competitive salary with performance-based incentives. - Opportunities for career growth and professional development. - A collaborative and dynamic work environment. - Health and wellness benefits.,