895 Summarization Jobs - Page 3

About The Role Reporting to the executive leadership, the VP will steer enterprise delivery and product engineering functions over a global footprint. This role is tailored for a veteran leader with expertise in Microsoft technologies and substantial experience in AI enabled digital transformation. Key Responsibilities Leadership & Delivery Excellence Spearhead global delivery of digital solutions built on the Microsoft stack-.NET, C#, SharePoint, Azure, Office- 365-ensuring delivery excellence, quality, and client satisfaction. Scale and manage multi-disciplinary teams (200+ across APAC, EMEA, NA), leading global operations and repeat business growth. Product Innovation & Engineering Drive end-to-end development of cloud-native products-defining roadmaps, MVPs, and modernizing legacy platforms. Launch innovative offerings that elevate productivity and operational impact. Client Advisory & Strategic Growth Act as a trusted advisor to clients, CxOs, and partners-contributing solution architecture and guiding engagements across industry verticals including BFSI, healthcare, retail, logistics, and telecom. Lead large deal pursuits, account expansion, and maintaining preferred partner status through delivery excellence and solution innovation. AI-Enabled Engineering Practices Embed GenAI/AI and DevOps methodologies to drive automation in development, testing, summarization, and analytics workflows. Operational & Quality Governance Implement delivery and quality frameworks aligned with ISO 27001, CMMI Level 5, SOC2, Six Sigma, PMP, or Agile/SAFe standards-including pioneering CMMI Level- 5 assessments across organizations. Establish reusable delivery processes, metrics tracking (DORA), and governance models for service scalability. Organizational Development & Culture Mentor and develop second-tier leaders; recruit and nurture talent to build high-performance engineering/product teams across global centers. Advocate a culture of customer centricity, operational excellence, innovation, and continuous improvement. Required Skills & Qualifications Bachelor's in Engineering; Master's (e.g. Software Systems, Data Analytics, Big Data). Prefer certification or education from top institutions. 18+ years of experience in product engineering leadership, global delivery management, digital transformation, and P&L ownership. Deep expertise in Microsoft technologies (.NET, Azure, SharePoint, Office 365 ecosystem) with hands-on experience. Strong AI/GenAI understanding; proven ability to integrate AI into engineering/product processes. Experience across verticals: BFSI, healthcare, telecom, manufacturing, media & entertainment, BPO services. Proven track record in large deal wins, global account management, and scaling service delivery. Certifications such as PMP, Six Sigma, Agile or SAFe frameworks; experience driving CMMI Level 5 compliance. Preferred Experience Prior roles in technology leadership (VP/ED) shaping vision and growth for service/product engineering organizations. Experience with BI solutions (e.g. dashboards like Vipassana), automation platforms, and cloud-native digital tools. Experience establishing shared services or GDC operating models. History of delivering large, cross-geography transformational programs and incubating innovation. (ref:hirist.tech)

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 3+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts Certifications in cloud architecture, ML engineering, or data science specialization Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

Sr/Lead ML Engineer Placement type (FTE/C/CTH): C/CTH Duration : 6 month with extension Location: Phoenix AZ, must be onsite 5 days a week Start Date: 2 weeks from the offer Interview Process One and done Reason for position Integration ML to the Observability Grafana platform Team Overview Onshore and offshore Project Description AI/ML for Observability (AIOps) Developed machine learning and deep learning solutions for observability data to enhance IT operations. Implemented time series forecasting, anomaly detection, and event correlation models. Integrated LLMs using prompt engineering, fine-tuning, and RAG for incident summarization. Built MCP client-server architecture for seamless integration with the Grafana ecosystem. Duties/Day to Day Overview Machine Learning & Model Development Design and develop ML/DL models for: Time series forecasting (e.g., system load, CPU/memory usage) Anomaly detection in logs, metrics, or traces Event classification and correlation to reduce alert noise Select, train, and tune models using frameworks like TensorFlow, PyTorch, or scikit-learn Evaluate model performance using metrics like precision, recall, F1-score, and AUC ML Pipeline Engineering Build scalable data pipelines for training and inference (batch or streaming) Preprocess large observability datasets from tools like Prometheus, Kafka, or BigQuery Deploy models using cloud-native services (e.g., GCP Vertex AI, Azure ML, Docker/Kubernetes) Maintain retraining pipelines and monitor for model drift LLM Integration for Observability Intelligence Implement LLM-based workflows for summarizing incidents or logs Develop and refine prompts for GPT, LLaMA, or other large language models Integrate Retrieval-Augmented Generation (RAG) with vector databases (e.g., FAISS, Pinecone) Control latency, hallucinations, and cost in production LLM pipelines Grafana & MCP Ecosystem Integration Build or extend MCP client/server components for Grafana Surface ML model outputs (e.g., anomaly scores, predictions) in observability dashboards Collaborate with observability engineers to integrate ML insights into existing monitoring tools Collaboration & Agile Delivery Participate in daily stand-ups, sprint planning, and retrospectives Collaborate with: Data engineers on pipeline performance and data ingestion Frontend developers for real-time data visualizations SRE and DevOps teams for alert tuning and feedback loop integration Translate model outputs into actionable insights for platform teams Testing, Documentation & Version Control Write unit, integration, and regression tests for ML code and pipelines Maintain documentation on models, data sources, assumptions, and APIs Use Git, CI/CD pipelines, and model versioning tools (e.g., MLflow, DVC) Top Requirements (Must haves) AI ML Engineer Skills Design and develop machine learning algorithms and deep learning applications and systems for Observability data (AIOps) Hands on experience in Time series forecasting/prediction, anomaly detection ML algorithms Hands on experience in event classification and correlation ML algorithms Hands on experience on integrating with LLMs with prompt/fine-tuning/rag for effective summarization Working knowledge on implementing MCP client and server for Grafana Eco-system or similar exposure Key Skills: Programming languages: Python, R ML Frameworks: TensorFlow, PyTorch, scikit-learn Cloud platforms: Google Cloud, Azure Front-End Frameworks/Libraries: Experience with frameworks like React, Angular, or Vue.js, and libraries like jQuery. Design Tools: Proficiency in design software like Figma, Adobe XD, or Sketch. Databases: Knowledge of database technologies like MySQL, MongoDB, or PostgreSQL. Server-Side Languages: Familiarity with server-side languages like Python, Node.js, or Java. Version Control: Experience with Git and other version control systems. Testing: Knowledge of testing frameworks and methodologies. Agile Development: Experience with agile development methodologies. Communication and Collaboration: Strong communication and collaboration skills. Experience: Lead – 10 to 12 Years (Onshore and Offshore). Developers - 6 to 8 Years for Engineers

Build and maintain dashboards and reports tracking operational health and abuse/fraud metrics. Analyze large-scale datasets to spot abuse patterns, anomalies, and emerging trends Startup Job steal. Drive insights that improve processes across Product, Policy, Legal, and Ops teams Data interview. Support ad‑hoc investigations into incidents, contributing data-driven analysis Complex formulas and functions: XLOOKUP, INDEX/MATCH, dynamic arrays, SUMIFS/COUNTIFS, IFS, IFERROR, SUMPRODUCT. PivotTables and Pivot Charts for dynamic summarization and data exploration. Power Query and Power Pivot for data import, transformation, relational modeling, and BI-style Data Analysis . Conditional formatting, data validation, and custom dashboards using slicers and form controls. Automation via Macros & VBA for recurring tasks and template creation.

Position title Lead Engineer - AI/ML Description Prospus Consulting Pvt. Ltd. is a fully remote IT consulting company specializing in SaaS solutions. We are looking to hire a highly skilled and experienced Lead AI/ML Engineer to focus on AI-enabling a SaaS application. If you have a passion for innovation and a proven track record in AI/ML software development, we invite you to join our team. Responsibilities Lead the development and integration of AI/ML capabilities into a SaaS application. Design, train, fine-tune, and deploy large language models (LLMs) using advanced embedding techniques. Develop and implement Natural Language Processing (NLP) solutions, including tokenization, attention mechanisms, and sentiment analysis. Perform tasks such as text summarization, semantic search, and supervised/unsupervised learning. Optimize AI/ML models using techniques like quantization, pruning, and distillation. Create and manage searchable vector databases derived from extensive knowledge bases. Build and deploy intelligent chatbots to enhance user experience. Collaborate with cross-functional teams to define project requirements and deliver AI-enabled features. Evaluate model performance using industry-standard metrics and implement improvements as needed. Skills 6+ years of experience in AI/ML software development. Hands-on experience with LLM fine-tuning and embedding techniques. Proficiency in NLP frameworks, tokenization, and attention mechanisms. Demonstrated expertise in sentiment analysis, text summarization, and semantic search. Strong knowledge of supervised and unsupervised learning methodologies. Experience in model distillation and optimization (e.g., quantization, pruning). Hands-on experience with Hugging Face transformers. Proficiency in Python for AI/ML applications. Proven track record of building chatbots and conversational AI systems. Experience creating searchable vector databases from large knowledge bases. Expertise in evaluating model performance and using appropriate metrics. Qualifications Familiarity with AI/ML applications in SaaS platforms. Experience working with remote teams and agile methodologies. Strong problem-solving and analytical skills. Contacts To apply for this position, please complete the mandatory application form linked below. Only applications that include submission of this form will be considered. We appreciate your understanding and look forward to reviewing your application! Submit Your Application Here

Job Description Fund/Client Accounting - S5 (Non-Supervisory)Serves as a lead for the day-to-day operations of a medium-sized fund accounting support team, providing work direction and technical assistance on complex matters. Leads day-to-day accounting and net asset value (NAV) production functions (including NAV construction & validation, NAV review, dissemination and reporting activities) for more complex funds. Reviews data and assists in resolving escalated problems that may arise during the normal daily, weekly or monthly accounting and reporting.Tracks data and maintains accounting records for funds of higher complexity in accordance with department policies and procedures. Establishes data maintenance and summarization processes to improve team efficiency and best support the accounting team.Leads team in preparing system-generated reports. Coordinates review of reports and the sharing of reports with accounting teams. Reviews work of junior team members.Assists with maintaining relationships with client staff. Regularly works with client staff to exchange information with respect to cash, accounting, and reporting of daily and monthly client activities and initiatives. Communicates data needs and answers client questions.Assists in identifying and implementing process improvements to reduce audit and financial exposure and improve team efficiency.No direct reports,,, may have work allocation and team lead responsibilities .Supports the achievement of team objectives.Bachelor's degree in accounting or the equivalent combination of education and experience is required.5-7 years of total work experience preferred,,, experience in accounting support preferred.. BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans. Our ambition is to build the best global team – one that is representative and inclusive of the diverse talent, clients and communities we work with and serve – and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to supportnamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and explorationemerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 5+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts. Certifications in cloud architecture, ML engineering, or data science specializations, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs). Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Role : Senior Associate Exp : 3-6 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field 3-5 years of relevant experience in data science and machine learning Strong analytical and problem-solving skills Excellent communication and presentation abilities Ability to work independently and as part of a team Mandatory Skill Sets GenAI/BFSI/ Data Visualization Preferred Skill Sets GenAI/ BFSI / Data Visualization Years Of Experience Required 3-6 Years Education Qualification B.E.(B.Tech)/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 40% Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Exeperience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description Why Inflight Services? Our customers choose United because of our dedication to safety and passion for service. United's Inflight Services team is made up of diverse, driven individuals working together to Connect People and Unite the World. From operational leadership and crew planning to safety and service procedures, our Inflight Services team provides the innovative approaches, tools, training and guidance needed for our flight attendants to deliver the best possible customer experience, and aid in our mission to become the best airline in the history of aviation. Job Overview And Responsibilities This Senior Supervisor role is a dynamic one involving a wide variety of responsibilities. This role within United Voices combines data analysis, customer service, performance oversight, consulting, project management, and coaching. United Voices is a tool that flight attendants use to submit feedback about the onboard experience and the Voices team reviews this feedback to recommend changes. The Senior Supervisor reviews Voices comments independently as well as guides teammates in their report review. This role requires research to understand major trends, policies behind the comments, and possible solutions for the reported issue. This role builds relationships with colleagues and partner teams in United to action the frequently reported issues. It requires communication back to flight attendants on the implemented changes. The Senior Supervisor also coaches a small team of direct reports to support their daily tasks and career development. Analyze comments reported by flight attendants in the United Voices app to understand trends and draw insights Partner with other United teams in resolving issues and incorporating suggestions that enhance the customers’ onboard experience Oversee a few direct reports in the review, processing, and summarization of Voices comments Lead cross-functional projects that elevate the United Voices program Build educational resources around the policies and procedures within Catering, Hospitality, and Inflight Inform teams across United of successful feedback outcomes through educational and awareness efforts Conduct ad-hoc analyses Qualifications What’s needed to succeed (Minimum Qualifications): 4 years of experience Communication Data analysis Project management Customer service Collaboration Problem solving Proficiency in Microsoft tools (Outlook, Word, Excel) Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): At least 1 year of managing people Dashboard visualization People management

Job Title: Academic Content Writer – Biography Specialist Location: Rohini, Delhi (On-site) Employment Type: Full-time Salary: ₹25,000 – ₹45,000 per month Industry: Education / Academic Writing / Content Development Job Overview: We are hiring a skilled and detail-oriented Academic Content Writer – Biography Specialist to join our academic writing team. The role requires crafting compelling, personalized biographies for students, researchers, and professionals that meet academic or institutional standards. Ideal candidates will have a strong grasp of English writing and research abilities. Key Responsibilities: Write well-researched, structured, and original academic biographies. Conduct background research on individuals using credible sources. Maintain academic tone and clarity throughout the content. Collaborate with internal editors or coordinators to deliver client-specific content. Ensure 100% plagiarism-free output with proper formatting. Deliver quality work within deadlines. Requirements: Bachelor’s/Master’s degree in English, Journalism, or related field. 1–3 years of experience in content writing, academic writing, or similar field. Strong command of English grammar and writing structure. Excellent research and summarization skills. Familiarity with academic tones and formal content. Proficiency in MS Word / Google Docs. Good to Have: Knowledge of SOP/LOR/resume writing Experience working with students or academic professionals Familiarity with referencing styles (APA, MLA, etc.) Working Days & Timings: Monday to Saturday | Day shift How to Apply: Share your CV at: sumeet@aimlay.com WhatsApp only: 9211712210 ( No calls, please ) Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹45,000.00 per month Benefits: Commuter assistance Health insurance Provident Fund Schedule: Day shift Work Location: In person Application Deadline: 10/08/2025 Expected Start Date: 31/07/2025

Job Title: Architect – Gen AI Experience Range: 2-5Years Location: Noida Job Summary We are seeking a hands-on Technical Architect specializing in Generative AI to lead the design and implementation of AI-driven architectures across complex enterprise systems. This role combines deep coding expertise in Python, .NET Core, Angular, and Azure, with a strong architectural mindset to modernize platforms, drive efficiency, and deliver intelligent automation through AI/ML solutions. This is a high-impact role that involves coding, PoC development, AI architecture leadership, and direct collaboration with cross-functional teams and stakeholders. Key Responsibilities Hands-On Development Design and develop GenAI models for real-world use cases (e.g., predictive analytics, document summarization, intelligent workflows). Build scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications (Functions, Logic Apps, Azure SQL). Develop AI accelerators including agentic workflows, RAG pipelines, and LLM-integrated solutions. Create and iterate on proof-of-concepts (PoCs) aligned with business use cases. Architecture & Delivery Define and evolve the Gen AI roadmap for SDLC integration. Architect event-driven, cloud-native systems using Azure tools and messaging services like Kafka/Event Grid. Implement robust CI/CD, security, and code quality practices (e.g., SonarQube, guiderails, IaC with Bicep/ARM). Team & Stakeholder Collaboration Work alongside fellow architects to align technical strategy with enterprise goals. Partner with business stakeholders to translate workflows into intelligent, automated solutions. Conduct code reviews, mentor developers, and troubleshoot high-priority issues across the stack. Present GenAI solutions and ROI in customer architecture review boards (ARBs). Technical Skill Mandates Languages & Frameworks: Python (AI/LLM workflows, model integration) .NET Core (API development, cloud-native patterns) Angular (v13+) or React (TypeScript-based frontend development) Cloud & AI: Microsoft Azure Cognitive Services AI Foundry Logic Apps Azure SQL Power Automate AI Builder LLM Techniques: Prompt engineering, fine-tuning, RAG architecture MLOps practices for model deployment CI/CD & DevOps: Azure DevOps, GitHub Actions Infrastructure-as-Code (ARM/Bicep) Architecture Patterns: Event-driven systems (Kafka, Azure Event Grid) Modular, secure, and scalable microservices Qualifications & Experience 13–16 years of total experience in enterprise software, including: 5+ years in AI/ML architecture and cloud-native system design Demonstrated ability to code, architect, and lead AI-powered solutions Bachelor's or Master's in Computer Science, Engineering, or related field Preferred certifications: Azure Solutions Architect Expert, AWS/GCP Cloud Architect Preferred Domain Experience Exposure to domains like insurance, finance, or regulated industries with workflows like: Underwriting, claims processing, compliance automation What You’ll Gain Opportunity to lead GenAI strategy in a tech-forward enterprise A collaborative, agile environment focused on innovation and delivery Career development and learning opportunities in AI and cloud technologies

Dear Candidate, Greetings From Binary Semantics Ltd!! Immediate Hiring For AI Chatbot Developer - Gurgaon(WFO) Note: Only immediate joiner can apply or max to max 10-15 days notice period . About Product: Chatbot: AI chatbots have become instrumental in revolutionizing various industries, including insuretech, taxation, and fleet management. In the insuretech sector, AI chatbots are employed to enhance customer interactions, providing instant assistance with policy inquiries, claims processing, and policy renewals. These chatbots leverage natural language processing to understand and respond to customer queries, improving the overall customer experience and reducing response times. In taxation, AI chatbots streamline complex processes by assisting users with tax-related questions, helping them navigate tax regulations, and providing real-time updates on changes in tax laws. These chatbots can guide users through the filing process, ensuring accuracy and compliance while simplifying the overall tax experience. Fleet management benefits from AI chatbots by automating communication and decision-making processes. Chatbots in this context can provide real-time information on vehicle locations, maintenance schedules, and fuel consumption. They enable efficient coordination of fleet activities, optimizing routes, and addressing maintenance issues promptly. This not only improves operational efficiency but also contributes to cost savings and enhanced safety. Python Developer (AI Chatbot with RASA) Education: Btech / Mtech Experience: 2-4yr Location: Gurgaon Notice Period : Immediate or Max to max 10-15 days only Job Description: Developing chatbots and voice assistants on various platforms for diverse business use-cases Work on a chatbot framework/architecture using an open-source tool or library Implement Natural Language Processing (NLP) for chatbots Integration of chatbots with Management Dashboards and CRMs Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process Ability to understand business requirements and translate them into technical requirements Open-minded, flexible, and willing to adapt to changing situations Ability to work independently as well as on a team and learn from colleagues Ability to optimize applications for maximum speed and scalability Skills Required: Minimum 2+ years of experience in Chatbot Development using any open-source framework (eg Rasa, Botpress) Experience with both text-to-speech and speech-to-text Should have a good understanding of various Chatbot frameworks/platforms/libraries Experience with integration of bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc. Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bot's design Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Knowledge of either SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL Interested candidate may share their resume on below mentioned email id with details: Juhi.khubchandani@binarysemantics.com Total Exp: Exp in Chatbot development: Exp in RASA: CTC: ECTC: NP: Location: Ready for Gurgaon(WFO): Regards, Juhi Khubchandani Talent Acquisition Binary Semantics Ltd.

Job Title: Academic Content Writer – Biography Specialist Location: Rohini, Delhi (On-site) Employment Type: Full-time Salary: ₹25,000 – ₹45,000 per month Industry: Education / Academic Writing / Content Development Job Overview: We are hiring a skilled and detail-oriented Academic Content Writer – Biography Specialist to join our academic writing team. The role requires crafting compelling, personalized biographies for students, researchers, and professionals that meet academic or institutional standards. Ideal candidates will have a strong grasp of English writing and research abilities. Key Responsibilities: Write well-researched, structured, and original academic biographies. Conduct background research on individuals using credible sources. Maintain academic tone and clarity throughout the content. Collaborate with internal editors or coordinators to deliver client-specific content. Ensure 100% plagiarism-free output with proper formatting. Deliver quality work within deadlines. Requirements: Bachelor’s/Master’s degree in English, Journalism, or related field. 1–3 years of experience in content writing, academic writing, or similar field. Strong command of English grammar and writing structure. Excellent research and summarization skills. Familiarity with academic tones and formal content. Proficiency in MS Word / Google Docs. Good to Have: Knowledge of SOP/LOR/resume writing Experience working with students or academic professionals Familiarity with referencing styles (APA, MLA, etc.) Working Days & Timings: Monday to Saturday | Day shift How to Apply: Share your CV at: sumeet@aimlay.com WhatsApp only: 9211712210 ( No calls, please ) Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹45,000.00 per month Benefits: Commuter assistance Health insurance Provident Fund Schedule: Day shift Work Location: In person Application Deadline: 10/08/2025 Expected Start Date: 31/07/2025

You will be responsible for conducting literature searches, managing citations, summarizing information, and applying process engineering knowledge in the field of chemical manufacturing and development. Your role will involve utilizing citation management tools to organize research references, synthesizing large amounts of information into clear and concise reports, and applying your deep understanding of chemical compounds, reactions, and processes. You will be working at Pragmetis Pharmaserve, a manufacturing and research company that specializes in producing customized chemicals and exporting them to the UK and the USA.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Responsibilities Job Description & Summary – Associate – GenAI – Mumbai Role : Associate Exp : 3—5 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Mandatory Skill Sets GenAI Preferred Skill Sets GenAI Years Of Experience Required 3—5 Years Education Qualification B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Extract Transform Load (ETL), Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities Collaborate with business stakeholders to understand and translate their goals into AI and data science initiatives. Lead the development and implementation of LLM-based workflows and AI agents to drive automation, personalization, and intelligent decision-making. Develop strategies to optimize budget allocation and campaign performance using AI-driven approaches in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to uncover trends and insights from large, complex data sets. Identify, evaluate, and deploy use case-specific LLMs (e. g., OpenAI, Gemini, Claude) for summarization, retrieval, semantic search, tool use, and classification. Design and implement retrieval-augmented generation (RAG) pipelines and memory-augmented AI agents. Implement Groq or similar platforms for high-performance, low-latency inference and scalable AI deployment. Communicate complex analytical and AI-driven findings in a clear, actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in AI, LLMs, and agentic systems. Build AI-powered proof of concepts (PoCs) leveraging foundation models, vector databases, and orchestration frameworks. Use SQL for data exploration, feature engineering, and prompt conditioning. Required Skills Qualification in a quantitative field such as Computer Science, Artificial Intelligence, Statistics, Physics, or Mathematics. Excellent problem-solving skills and strategic thinking with a strong AI product mindset. Strong coding skills, particularly in Python. 4-6 years of relevant work experience in Data Science, with significant hands-on experience in LLM-based application development. Solid foundation in statistical analysis, experimentation, and hypothesis testing. Proficiency in Python and SQL. Preferred experience on the GCP platform. Proven experience with LLMs, including prompt engineering, fine-tuning, RAG, and evaluation. Experience identifying and scaling LLM-based use cases across business functions. Familiar with building AI agents using LangChain, LangGraph, and agentic orchestration frameworks. Experience with Groq or similar platforms for high-speed inference of LLMs. Experience with LangSmith (LLMOps) for debugging and monitoring LLM workflows. Hands-on experience with fine-tuning LLMs for domain-specific applications. Practical experience in classical machine learning techniques and working with large-scale datasets. Plus points for experience in AdTech or Meta Ads. Effective communication skills with the ability to convey technical concepts to non-technical audiences. This job was posted by Shajy Theyyamveettil from Affle.

We are seeking a Data Scientist with a strong background in enterprise-scale machine learning, deep expertise in LLMs and Generative AI, and a clear understanding of the evolving Agentic AI ecosystemThe ideal candidate has hands-on experience developing predictive models, recommendation systems, and LLM-powered solutions, and is passionate about leveraging cutting-edge AI to solve complex enterprise challenges. This role will involve working closely with product, engineering, and business teams to design, build, and deploy impactful AI solutions that are both technically robust and business-aligned. The Core Responsibilities For The Job Include The Following ML and Predictive Systems Development: Design, develop, and deploy enterprise-grade machine learning models for recommendations, predictions, and personalization use cases. Work on problems such as churn prediction, intelligent routing, anomaly detection, and behavior modeling. Leverage techniques in supervised, unsupervised, and reinforcement learning as needed based on business context. LLMs And Generative AI Build and fine-tune LLM-based solutions (e. g., GPT, LLaMA, Claude, or open-source models) for tasks such as summarization, semantic search, document understanding, and copilots. Deliver production-ready GenAI projects, applying techniques like RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, and vector search (e. g., FAISS, Pinecone, Weaviate). Collaborate with engineering to embed LLM workflows into enterprise applications, ensuring scalability and performance. Agentic AI And Ecosystem Engagement Contribute thought leadership and experimentation around Agentic AI architectures, task orchestration, memory management, tool integration, and decision autonomy. Stay ahead of trends in the open-source and commercial LLM/AI space, including LangChain, AutoGen, DSPy, and ADK-based systems. Develop internal PoCs or evaluate frameworks to assess viability for enterprise use. Collaboration And Delivery Work with cross-functional teams to identify AI opportunities and define technical roadmaps. Translate business needs into data science problems, define success metrics, and communicate results to stakeholders. Ensure model governance, monitoring, and explainability for AI systems in production. Requirements Master's or PhD in Computer Science, Data Science, Statistics, or related field. 5-8 years of experience in data science and ML, with strong enterprise project delivery experience. Proven success in building and deploying ML models and recommendation systems at scale. 2+ projects delivered involving LLMs and Generative AI, with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, LangChain, Vector DBs, or model fine-tuning. Advanced Python programming skills and experience with ML libraries (e. g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Experience with cloud-based ML/AI platforms (e. g., Vertex AI, AWS SageMaker, Azure ML). Strong understanding of system architecture, APIs, data pipelines, and model integration patterns. Preferred Qualifications Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, CrewAI). Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents. Working knowledge of MLOps best practices, including model versioning, CI/CD for ML, and model monitoring. Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams. Regular follower of AI research, open-source trends, and GenAI product developments. This job was posted by Akshay Kumar Arumulla from Softility.

Role : Data Scientist Experience : 5 years to 8 years Location : Hyderabad, Pune, Bangalore Job Description: Mandatory Skills :Machine Learning, Python Programming Tools Python Pandas NumPy Matplotlib Seaborn Scikit learn SQL complex queries joins CTEs window functions Git Data Analysis Visualization Exploratory Data Analysis EDA trend and correlation analysis hypothesis testing dashboards Power BI Tableau storytelling with data Databases Data Handling SQL Server MySQL basic knowledge of Spark BigQuery Hive is a plus Statistics ML Foundational Descriptive and inferential statistics regression classification clustering KMeans model evaluation metrics accuracy precision recall AUC over fitting under fitting cross validation LLMAI Exposure Familiarity with prompt engineering OpenAI APIs basic usage of GPT models for data text automation awareness of LLM limitations and applications in analytics Soft Skills Strong problem solving ability attention to detail stakeholder communication ability to translate business problems into data solutions Experience Highlights Conducted in depth data analysis to uncover trends patterns and anomalies that informed strategic decisions across product marketing and operations teams Designed and implemented scalable data pipelines and automated data workflows using Python and SQL Developed and maintained analytical models and dashboards to track key business metrics and performance indicators Applied statistical methods and machine learning techniques to solve real world business problems such as forecasting segmentation and performance optimization Collaborated with stakeholders to gather requirements translate business questions into analytical approaches and communicate findings with clarity Explored the use of LLMs eg OpenAI GPT for enhancing internal workflows and accelerating data driven tasks such as querying summarization and content generation

About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For We are looking for Generative AI Developer to join our team of innovative and passionate developers who are creating cutting-edge AI solutions for various domains and challenges. What You'll Do Good/Basic understanding of full stack development (Python/ MERN stack) and cloud technologies such as Azure and AWS. (important) DevOPS on cloud and good experience in using services such as Git, Terraform and others. Develop, test, and deploy AI models using state-of-the-art LLMs, Hugging face LLMs and others and libraries such as Llama index, and Lang chain. Create custom AI models to address unique challenges and improve existing processes. Optimize and fine-tune AI models for performance, accuracy, and scalability. Apply knowledge of Retrieval-Augmented Generation (RAG) and related methodologies to develop sophisticated AI solutions. Collaborate with cross-functional teams to understand requirements and deliver AI-powered features and enhancements. Stay abreast of the latest developments in AI, machine learning, and related fields to innovate and improve our offerings continuously. Must Have Bachelor's degree or higher in Computer Science, Engineering, or related field. 4+years of experience in AI development, with a strong focus on generative models, NLP, and image processing. Proficient in Python and other programming languages for AI development. Solid understanding of machine learning concepts, data processing, feature extraction, text summarization, and image processing techniques Familiarity with Retrieval-Augmented Generation (RAG) and other cutting-edge AI processes. Proven experience with OpenAI models, including but not limited to GPT (Generative Pre-trained Transformer), and the ability to develop custom models. Experience in working with large-scale datasets and cloud platforms. Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. Strong communication skills and the ability to work collaboratively with a diverse team. Skills: generative ai,retrieval-augmented generation (rag),hugging face llms,llama,devops,machine learning concepts,state-of-the-art llms,langchain,llama index,large language model,llm,feature extraction,mern stack,data processing,generative ai development,azure,nlp,backend,rag architecture,python,full stack development,javascript frameworks,lang chain,git,text summarization,open ai,cloud technologies,terraform,react,java,image processing,aws

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers; Familiarity with Amazon Bedrock would be considered a significant plus.

About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What we are looking for: We are looking for Generative AI Developer to join our team of innovative and passionate developers who are creating cutting-edge AI solutions for various domains and challenges. What you'll do: • Good/Basic understanding of full stack development (Python/ MERN stack) and cloud technologies such as Azure and AWS. (important) • DevOPS on cloud and good experience in using services such as Git, Terraform and others. • Develop, test, and deploy AI models using state-of-the-art LLMs, Hugging face LLMs and others and libraries such as Llama index, and Lang chain. • Create custom AI models to address unique challenges and improve existing processes. • Optimize and fine-tune AI models for performance, accuracy, and scalability. • Apply knowledge of Retrieval-Augmented Generation (RAG) and related methodologies to develop sophisticated AI solutions. • Collaborate with cross-functional teams to understand requirements and deliver AI-powered features and enhancements. • Stay abreast of the latest developments in AI, machine learning, and related fields to innovate and improve our offerings continuously. Must have: • Bachelor's degree or higher in Computer Science, Engineering, or related field. • 4+years of experience in AI development, with a strong focus on generative models, NLP, and image processing. • Proficient in Python and other programming languages for AI development. • Solid understanding of machine learning concepts, data processing, feature extraction, text summarization, and image processing techniques • Familiarity with Retrieval-Augmented Generation (RAG) and other cutting-edge AI processes. • Proven experience with OpenAI models, including but not limited to GPT (Generative Pre-trained Transformer), and the ability to develop custom models. • Experience in working with large-scale datasets and cloud platforms. • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication skills and the ability to work collaboratively with a diverse team.

Location: Bangalore Experience Level: 6-8 years Position: Lead Data Scientist Education: BE/BTech from Tier 1 institutes (IITs/IIITs/NITs). Preferably MS in CS/NLP/KGs/Vision at top tier institute, for lead DS. Reimagine Travel decisions with the power of AI @ MakeMyTrip. MakeMyTrip has been AI/ML/Data/Platform powered organization. We are now shaping the future of travel for Bharat customers, with GenAI-centric innovations, leveraging SLMs, Vernacular STT/TTS, and travel content systems. Join us to take these systems, chatbots, Cx, content to next orbit of excellence. About The Role As a Lead data scientist , you will: Design, develop, and fine-tune multilingual Small Language Models (SLMs) with advanced AI capabilities for agentic applications such as travel destination expertise, Myra bot orchestration, hotel semantic search, and customer support bot assistance. Build custom Natural Language Inference (NLI) and reward-scoring models to improve preference-based SLM training(DPO, PPO, SteerLM etc), enhancing multi-agent response quality and relevance. Develop and implement active learning pipelines for data and models, for NLP, Named Entity Recognition (NER), conversational latent intent/concepts, travel-specific embeddings, and domain-specific SLM training for summarization, rephrasing, and planning. Architect and enhance conversational AI systems to dynamically adapt and comprehend concepts/intents, NLP, and NER tasks across multiple lines of business, supporting the Myra chatbot ecosystem. Drive end-to-end quality assurance through robust integration and experience testing, establishing objective evaluation metrics and leveraging A/B testing for performance optimization. Mentor and guide engineering teams in advanced SLM and Generative AI analytics, fostering growth and innovation. Collaborate across teams to deliver scalable solutions that impact millions of users, ensuring alignment with business goals. Focus on hosting and deploying Generative AI models on robust and efficient infrastructure to support large-scale operations. What You Bring Deep experience in Natural Language Processing (NLP & NLI), tiny/small language models, base language model retraining (both transformer and BERT based architectures). Extensive experience in conversational NLP systems. Experience in SLM adaptor fine tuning, SFT training, SLM pruning (base and instruct models) Experience in retriever frameworks in Q&A bots. Experience in contrastive learning, graph learning based embedding methods with heterogenous features. Preferably experience in building NLP active learning pipelines. Demonstrable experience in scaling your models to large scale search systems is a plus. Very good critical reasoning skills, data centric NLP/NLI systems. Must have temperament and hunger to work in fast-paced environment. Why Join Us? Be part of a team revolutionizing the travel industry with cutting-edge AI and Generative AI technologies, impacting millions of users worldwide.

Job Description: AI Engineer - Generative AI Company:- Focalworks Solutions Pvt Ltd. Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer A competitive salary and performance bonus. Comprehensive health insurance. Flexible working hours and a hybrid work model. A budget for professional development, conferences, and certifications. The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to rahul.narwade@focalworks.in , with the subject line " Application for AI Engineer ".

Job Description: AI Engineer - Generative AI Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Linkedin Connect/Mail We are glad that to inform you that we have a job opening for the position of “ AI Engineer - Generative AI ” for our company location Vashi ,Navi Mumbai, Below is the details for the same. Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. If interested you can share your Updated resume at Rahul.narwade@focalworks.in with below required job opening:_ Total Yrs of Experience Relevant Yrs of experience AI Engineer :__ ; Python__YRS ; NumPy:__YRS, Pandas__YRS ; LLMs Frameworks:__YRS ; LangChain:-___YRS or LlamaIndex :-__YRS what is the current CTC:___LPA What is Expected CTC:-__LPA Notice Period:_-___ Reason for change:- Current Location:- Available to work at our office location(Vashi Navi Mumbai location):- __ How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Job Type: Full-time Pay: ₹1,200,000.00 - ₹4,000,000.00 per year Schedule: Day shift Work Location: In person