54 Ml Models Jobs

As a valuable member of our team, you will collaborate with cross-functional teams to effectively translate business requirements into technical specifications for various data exploration, analysis, and modeling use cases. You will play a crucial role in gaining a comprehensive understanding of the data flow process, from applications to databases and reports. Additionally, you will be responsible for designing and implementing robust machine learning models, ensuring their successful deployment to production environments. Ideally, you should possess a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. This educational background will provide you with the necessary foundation to excel in this role and contribute significantly to our data-driven initiatives.,

Role: Product Manager - Post Order CX and Last Mile Logistics Location: Bangalore About STYLI STYLI is an e-commerce brand founded in 2019 by Landmark Group, emerging as one of the largest fashion and beauty platforms in the GCC and India. With a strong focus on trendy, affordable fashion and beauty products, STYLI brings over 40,000 styles to men, women, kids, and beauty enthusiasts, offering them the latest global trends delivered directly to their doorsteps. Our vision is to be the most aspirational value fast fashion and lifestyle destination, delivering seamless service excellence. We aim to create personalized experiences, engaging customers across all touchpoints, and continually expanding our curated selection to meet their evolving need states. STYLI has quickly become a leading player in the e-commerce fashion space across the GCC - Saudi Arabia, UAE, Bahrain, and Kuwait and in India. Role Purpose & Impact Deliver a world-class post-purchase journeyorder tracking, delivery notifications, returns, refunds, CXthat reduces anxiety, drives loyalty, and lowers operational costs. Key Responsibilities Integrate carrier APIs to surface real-time shipment statuses and predictive ETAs; continuously improve on-time promise accuracy with ML models. Design self-serve return & refund flows that capture structured return reasons; feed insights back to Merchandising to cut return rates. Automate refund triggers (instant for prepaid, COD post-pickup) and track average refund time as a north-star. Deploy multi-channel support tools (in-app chat, IVR, WhatsApp bots) to resolve >40 % queries without agent hand-off and lower contact rate. Identify & mitigate RTO patterns using data (zip codes, payment types, SKUs); pilot address verification, locker drop-offs, open-box delivery. Build and own dashboards for Delivery SLA, Contact Rate, Return-to-Origin losses; conduct weekly root-cause reviews with Ops & CX leadership. Drive continuous improvement culture (Lean/DMAIC) within the squadexperiment, learn, iterate rapidly. Align cross-functional teams Logistics, Warehouse, Finance, CX, Data Sciencearound shared OKRs and transparent reporting. Act as the post-order customer champion , grounding every decision in NPS, CSAT, and verbatim feedback loops. Balance marketplace economics by reducing costly cancellations and returns while preserving an exceptional buyer experience. Ideal Profile 4-8 years in post-order, logistics tech, or ops-heavy product roles in e-commerce or food/grocery delivery. Hands-on with carrier integrations, OMS/WMS, and communication stacks (Twilio, MoEngage). Strong continuous-improvement mindset. Track record aligning Ops, CX, and Tech on a single set of OKRs. Storytelling chopsyou turn complex supply-chain jargon into insights the C-suite acts on Show more Show less

As a Lead Machine Learning Data Engineer with 10-15 years of experience, you will be responsible for designing, developing, and optimizing ML models for NLP, CV, and data-driven applications. You will work with transformer architectures, multimodal AI models, and generative AI techniques to implement ML pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment. Your role will involve designing and implementing a Speech LLM-based virtual assistant, along with developing and maintaining Python code for audio capture, encoding, modality fusion, LLM interaction, and text output. Additionally, you will integrate and configure pre-trained models for audio encoding, LLM, and audio decoding, while staying up-to-date with the latest research and advancements in Speech LLMs, audio processing, and related fields. It will be your responsibility to document the system design, code, and experimental results, as well as architect scalable, production-ready ML systems integrating MLOps best practices. You will also set the technical direction, ensuring best practices in AI research, model deployment, and system scalability. This role will require you to work 5 days a week in a hybrid mode, with one week working from the office in a month, in either Bangalore or Chennai. The ideal candidate should be able to join immediately or with a notice period of a maximum of 15 days.,

Job Title: Senior Data Scientist Intelligent Offer Management Location: Bangalore (3 days work from office) Type: Hybrid Full-time (On-Site) Experience Level: 36 years About the Role: We are hiring a Data Scientist to lead and scale our Intelligent Offer Management engine a key pillar of our revenue optimization strategy. This role sits at the intersection of data science, pricing strategy, product thinking, and experimentation, enabling personalized, dynamic, and contextual offer decisions at scale. You&aposll work closely with product managers, business teams, and engineers to build models that recommend the right offer to the right customer at the right time. Key Responsibilities: Leverage recommender system techniques to enhance offer relevance, ensuring contextual personalization across customer segments. Design and implement real-time offer recommendation models using historical purchase, engagement, and behavioral data. Develop algorithms for dynamic pricing, offer personalisation, segmentation, and discount optimisation. Collaborate with cross-functional stakeholders to translate business requirements into data science solutions. Conduct A/B and multivariate experiments to evaluate offer performance and optimise offer strategies. Build predictive models for conversion propensity, elasticity curves, and uplift measurement. Package models for production deployment, ensuring scalability, performance, and monitoring. Influence product design and customer journeys with data-driven insights. Must-Have Qualifications: 3-6 years of experience in data science, quantitative analytics, or pricing strategy roles. Proficiency in Python and SQL, with experience in building, validating, and deploying ML models. Deep understanding of offer science, pricing elasticity, behavioural economics, and incentive systems. Strong business acumen with the ability to balance accuracy with impact and speed. Experience working with experimentation frameworks and statistical inference. Ability to communicate complex insights effectively to both technical and non-technical stakeholders. Show more Show less

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

The ideal candidate for this position should have at least 6+ years of experience in Machine Learning, with a primary focus on Google Vertex AI and Python. You must possess a strong understanding of MLOps practices and hands-on experience in deploying and productionizing ML models. Proficiency in Python is a must, along with experience working with Google Vertex AI. Additionally, solid knowledge of machine learning algorithms such as XGBoost, Classification models, and BigQuery ML (BQML) is required. As a member of the team, your key responsibilities will include designing, building, and maintaining ML infrastructure on Google Cloud Platform (GCP) using tools like Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions. You will be responsible for developing and automating ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines. Collaboration with Data Scientists to productionize ML models and support experimentation workflows will be essential. You will also be expected to implement model monitoring and alerting for drift, performance degradation, and data quality issues, along with managing and scaling containerized ML workloads using Kubernetes (GKE) and Docker. Setting up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar will be part of your daily tasks. Ensuring proper security, versioning, and compliance across the ML lifecycle is crucial, as well as maintaining documentation, artifacts, and reusable templates for reproducibility and auditability. Having a GCP MLE Certification will be considered a plus. This is a full-time, permanent position with the possibility of remote work. The job location is Hyderabad, and the work schedule includes day and morning shifts. Application Questions: - Do you have hands-on experience in deploying and productionizing ML models - Are you proficient in Python - Do you have experience with Google Vertex AI - Do you have solid knowledge of machine learning algorithms such as XGBoost, Classification models, BigQuery ML (BQML) If you meet the qualifications and are looking for a challenging opportunity in the field of Machine Learning, we encourage you to apply for this position.,

As a Senior Software Engineer with 12-16 years of experience in supply chain retail technology, you will be joining the Fulfilment Optimization team at Wayfair. The team is responsible for building platforms that determine how customer orders are fulfilled, focusing on optimizing Wayfair profitability and customer satisfaction. Your role will involve enhancing and scaling customer-facing platforms that provide fulfillment information on the website, ensuring the accurate representation of the dynamic supply chain, and surfacing the necessary information for customers, suppliers, and carriers in real-time. In this position, you will partner with business stakeholders to provide transparency, data, and resources for informed decision-making. You will be a technical leader within and across the teams, driving high-impact architectural decisions and hands-on development following best design and coding practices. Your responsibilities will include ensuring production readiness, identifying risks and proposing solutions, contributing to the team's strategy and roadmap, and fostering a culture of continuous learning and innovation. To be successful in this role, you should have a Bachelor's Degree in Computer Science or a related field, along with at least 12 years of experience in a senior engineer or technical lead role. You should have mentored a team of 10-12 people and possess expertise in developing and designing scalable distributed systems. Strong communication skills, the ability to collaborate effectively with cross-functional teams, and a passion for mentoring and leading engineers are essential qualities for this role. Experience in designing APIs and microservices, working with cloud technologies (specifically GCP), data processing, data pipelines, and familiarity with common open-source platforms and tools such as Kafka, Kubernetes, Java microservices, and GraphQL APIs are highly desirable. Additionally, experience in designing and developing recommendation systems, productionalizing ML models, and working with event-driven systems and technologies would be advantageous. Joining Wayfair means being part of one of the world's largest online destinations for home goods. With a commitment to industry-leading technology and creative problem-solving, Wayfair offers rewarding career opportunities for individuals seeking rapid growth, continuous learning, and dynamic challenges. If you are looking to be a part of a team that is reinventing the way people shop for their homes, Wayfair is the place for you. Please review our Candidate Privacy Notice for information on how your personal data is processed. If you have any questions or wish to exercise your privacy rights, please contact us at dataprotectionofficer@wayfair.com.,

As a global leader in cybersecurity, CrowdStrike protects the people, processes, and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe, and their lives moving forward. We are also a mission-driven company that cultivates a culture giving every CrowdStriker the flexibility and autonomy to own their careers. We are always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation, and a fanatical commitment to our customers, our community, and each other. Are you ready to join a mission that matters The future of cybersecurity starts with you. This role will lead our Data Engineering team, focusing on tools, services, and pipelines for Data scientist, analysts, threat researchers, and internal partners. The manager will lead the Data Engineering team in developing tools, services, and pipelines for data scientists, analysts, threat researchers, and internal partners. Close collaboration with cross-functional teams, product management, and security researchers is required to advance research and development while cultivating team culture and supervising direct reports. You will lead the development of next-generation experimental ML models that help customers identify and detect threats while establishing technical vision and roadmap. Managing a distributed team of engineers and technical leads, fostering a collaborative culture while coordinating across time zones to deliver high-quality initiatives. The role necessitates partnership with product management and engineering teams to translate experiments into customer-facing products that influence CrowdStrike's CTO organizational strategy. You will own validation processes for internal services, implementing automated workflows that maintain CrowdStrike's high standards for security solutions. Qualifications: - 10+ years in development and shipping products. - 3+ years of management experience with a proven ability to lead technical teams. - Hands-on technical leadership in Data Engineering. - Excellent communication skills for executive and technical audiences. - Experience with Agile/Scrum methodology and the ability to scale processes. - Programming skills in Go, Python, or similar languages. Bonus Points: - Experience in the cybersecurity space. - Experience with AWS tools, distributed systems such as Kafka, Cassandra. - Experience in CI/CD tools and automation. - Remote/distributed multi-team leadership experience. - Understanding of CVE analysis. - Experience with organizational scaling, SDLC, and process optimization. - GenAI/Agentic AI automation experience. Benefits of Working at CrowdStrike: - Remote-friendly and flexible work culture. - Market leader in compensation and equity awards. - Comprehensive physical and mental wellness programs. - Competitive vacation and holidays for recharge. - Paid parental and adoption leaves. - Professional development opportunities for all employees regardless of level or role. - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections. - Vibrant office culture with world-class amenities. - Great Place to Work Certified across the globe. CrowdStrike is proud to be an equal opportunity employer, committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and experience with cloud services and SQL/NoSQL databases. You will work closely with our cross functional stakeholders in Product, Finance and GTM along with Business and Enterprise Technology teams. As a Senior Data Engineer, you will: Collaborating closely with various stakeholders to prioritize requests, identify improvements, and offer recommendations. Taking the lead in analyzing, designing, and implementing data solutions, which involves constructing and designing data models and ETL processes. Cultivating collaboration with corporate engineering, product teams, and other engineering groups. Leading and mentoring engineering discussions, advocating for best practices. Actively participating in design and code reviews. Accessing and exploring third-party data APIs to determine the data required to meet business needs. Ensuring data quality and integrity across different sources and systems. Managing data pipelines for both analytics and operational purposes. Continuously enhancing processes and policies to improve SLA and SOX compliance. You'll be a great addition to the team if you have: Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field. Possess over 5 years of experience in Data Engineering, focusing on building and maintaining data environments. Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes, managing data solutions within an SLA-driven environment. Exhibit a strong background in developing data products, APIs, and maintaining testing, monitoring, isolation, and SLA processes. Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB). Proficient in programming with Python or other scripting languages. Have familiarity with columnar OLAP databases and data modeling. Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau. Possess excellent communication and interpersonal skills to effectively collaborate with various business stakeholders and translate requirements. Added bonus if you also have: A good understanding of Salesforce & Netsuite systems Experience in SAAS environments Designed and deployed ML models Experience with events and streaming data

Role: Gen AI Engineer Exp: 5 to 8 yrs. Loc: Bangalore, Pune, Hyderabad NP: Immediate joiners, who can join in 30 days. Required Skills: Python, Large Language Models (LLM), Machine Learning (ML), Generative AI Required Candidate profile Looking for candidates working in Data Analytics companies preferably.

At PwC, the focus in data and analytics revolves around leveraging data to drive insights and make informed business decisions. By utilizing advanced analytics techniques, our team helps clients optimize operations and achieve strategic goals. As a professional in data analysis at PwC, you will specialize in utilizing advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently seeking individuals with a strong analytical background to join our Analytics Consulting practice. As a Senior Associate, you will be an essential part of business analytics teams in India, collaborating with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide business recommendations to project teams. **Years of Experience:** Candidates should possess 4+ years of hands-on experience. **Must Have:** - Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker) - Knowledge of predictive/prescriptive analytics, particularly in the usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good knowledge of statistics, including statistical tests & distributions - Experience in Data analysis, such as data cleansing, standardization, and data preparation for machine learning use cases - Experience in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) - Advanced level programming in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Good communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the U.S. as a subject matter expert to formalize data sources, acquire datasets, and clarify data & use cases for a strong understanding of data and business problems - Drive and conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Build storylines and deliver presentations to the client team and/or PwC project leadership team - Contribute to knowledge sharing and firm building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

Design and deploy AI-powered automation workflows. Build ML/NLP models, create scalable APIs, integrate with CRMs/ERPs, and lead end-to-end AI solution delivery in production.

Job Description Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management

As a Business Analyst at PhonePe Limited, you will play a crucial role in the pod strategy by defining critical metrics, monitoring performance trends, and influencing interventions based on performance. You will collaborate closely with the business and product functions to understand the business problem and translate them into the right analytical problem statements. Your responsibilities will include owning the insight generation phase, conducting deep and thorough analysis to provide unbiased answers, and presenting evidence-backed data-driven hypotheses to influence decisions. In this role, you will move beyond being just the "Data person" and contribute with individual thoughts on improving critical metrics for the pod. As an integral part of the team, you are expected to act as the analytics and visualization subject matter expert, ensuring that dashboards are designed and built in a way that facilitates easy consumption of data by the pod. Additionally, you will be responsible for mentoring other analysts in the team, actively participating in the hiring process, and assisting in the onboarding process of new team members. To excel in this position, you should possess a minimum of 4 years of analytics experience in relevant roles, strong problem-solving and analytical skills, and a penchant for business with curiosity to understand how products work. Proficiency in writing complex SQL queries to manipulate and consolidate multiple data sources for dashboarding and analysis is essential. You should have an intuition for data, the ability to handle big data sources, and a strong working knowledge of Excel and visualization tools like PowerBI, Tableau, and QlikView. Knowledge of data-analysis languages such as R, Python, and core statistical concepts is expected. Experience in building ML models is advantageous but not mandatory. Effective communication skills, both verbal and written, are crucial, and candidates who can articulate the story behind their analysis will have an advantage. Joining PhonePe as a full-time employee comes with a range of benefits, including insurance coverage (medical, critical illness, accidental, life), wellness programs, parental support programs, mobility benefits, retirement benefits, and other perks like higher education assistance, car lease, and salary advance policy. If you are a first-principle problem solver who is passionate about working with data and eager to uncover insights that drive business growth, PhonePe is the place for you to bring your best self to work every day and contribute to building platforms that impact millions.,

Job Summary: We are looking for a results-driven and innovative AI/ML Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning systems at scale. Youll collaborate with cross-functional teams to integrate AI capabilities into products and services, transforming data into actionable insights and intelligent automation. Key Responsibilities: Design, implement, and maintain scalable machine learning models and pipelines. Work closely with data scientists to transition prototypes into production-ready solutions. Optimize models for performance, scalability, and low-latency inference. Deploy models using modern MLOps practices (e.g., CI/CD, model monitoring, versioning). Collaborate with data engineers to build efficient data pipelines and feature stores. Continuously monitor and improve the performance of deployed models. Integrate AI/ML systems with cloud services, APIs, and front-end applications. Stay up to date with the latest developments in AI/ML frameworks, tools, and research. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 5+ years of experience in machine learning, software engineering, or a related area. Strong programming skills in Python, R Programming Language and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn. Experience deploying ML models in production (e.g., REST APIs, batch processing, real-time inference). Familiarity with cloud platforms like AWS, OCI, GCP, or Azure (e.g., Sagemaker, Vertex AI). Solid understanding of software engineering best practices (version control, testing, debugging). Strong knowledge of statistical analysis, predictive modelling, and deep learning. Experience working with large datasets and distributed computing tools (e.g., Spark, Dask). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Preferred Qualifications: Experience with deep learning, NLP, or computer vision. Knowledge of distributed systems and big data tools (e.g., Spark, Kafka, Hadoop). Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow). Experience with model interpretability and explainability techniques. Contributions to open-source AI/ML projects or research publications.

Abhinandan Ventures is a collective of high-growth new-age businesses that support ambitious ideas to create disruptive businesses. The company provides patient capital for value creation and fosters a culture of performance-driven leadership. They specialize in cultivating consumer-centric brands at the forefront of innovation, shaping industries with sound business practices. The House of Abhinandan Lodha, a consumer tech brand under Abhinandan Ventures, disrupts traditional land ownership by leveraging technology to make land more accessible, flexible, and secure. Their mission is to create intergenerational wealth for consumers by reinventing the land buying process and promoting sustainable development practices. As part of the corporate philosophy, The House of Abhinandan Lodha emphasizes transparency, sustainability, and social responsibility in all dealings. They use technology to digitize land ownership, simplify investments, and enhance lifestyle amenities, aiming to make land ownership a younger, nimbler, and more viable asset for all. The role of a Performance Enhancement Lead at The House of Abhinandan Lodha involves driving data-driven marketing transformation by integrating MarTech capabilities with robust data analytics. The selected candidate will be responsible for managing the marketing technology stack, enhancing marketing efficiency, and leveraging data insights to drive growth, customer engagement, and ROI. Key Responsibilities: - Define and lead the integrated MarTech and data analytics roadmap aligned with business goals - Drive performance marketing efficiency by integrating Salesforce platforms and tools - Implement and optimize Salesforce Marketing Cloud and Salesforce Data Cloud - Develop and manage marketing automation frameworks using CRM and customer data platforms - Utilize analytics tools like Tableau and Google Analytics for actionable insights - Implement predictive analytics for lead scoring, customer segmentation, and churn prediction - Oversee personalization engines, recommendation systems, and ML models - Ensure seamless integration of AdTech, CMS, and DXP platforms for unified marketing operations - Collaborate with cross-functional teams for data-driven marketing strategy - Monitor and report on marketing performance metrics, leading performance enhancement initiatives Key Requirements: - 8-12 years of experience in MarTech, CRM, and Data Analytics roles - Expertise in Salesforce Marketing Cloud, Salesforce Data Cloud, and CDP platforms - Hands-on knowledge of marketing automation, web analytics, Tableau, and data storytelling - Experience with ML models in marketing contexts and understanding of AdTech integrations - Ability to drive measurable outcomes through partnership with business and tech teams Key Attributes: - Strategic and analytical thinker with strong execution capability - Ownership and ability to work across functions in a fast-paced environment - Excellent communication and stakeholder management skills - Passion for marketing innovation and data-driven growth The Performance Enhancement Lead at The House of Abhinandan Lodha plays a crucial role in driving marketing transformation and accelerating business growth through technology and data-driven strategies.,

We are seeking a dedicated Data Scientist with a strong background in Natural Language Processing (NLP) and expertise in Large Language Models (LLMs). As a part of our team, you will play a crucial role in the development, optimization, and implementation of open-source and API-based LLMs to address real-world challenges. Your primary responsibilities will revolve around constructing resilient GenAI pipelines, innovative internal tools, and customer-centric applications. This position offers you a remarkable chance to be at the forefront of Artificial Intelligence advancements and make significant contributions to the evolution of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and enhancing open-source LLMs tailored to specific business sectors, building and managing RAG pipelines utilizing tools like LangChain, FAISS, and ChromaDB, creating LLM-powered APIs for applications like chatbots, Q&A systems, summarization, and classification, as well as designing effective prompt templates and implementing chaining strategies to augment LLM performance across diverse contexts. To excel in this role, you must possess a deep understanding of NLP principles and advanced deep learning techniques for text data, hands-on experience with LLM frameworks like Hugging Face Transformers or OpenAI APIs, familiarity with tools such as LangChain, FAISS, and ChromaDB, proficiency in developing REST APIs for machine learning models, proficiency in Python along with expertise in libraries such as PyTorch or TensorFlow, and a solid grasp of data structures, embedding techniques, and vector search systems. Desirable qualifications include prior experience in LLM fine-tuning and evaluation, exposure to cloud-based ML deployment on platforms like AWS, GCP, or Azure, and a background in information retrieval, question answering, or semantic search. If you are passionate about generative AI and eager to work with cutting-edge NLP and LLM technologies, we are excited to connect with you.,

At PwC, we focus on leveraging data to drive insights and make informed business decisions. Our team in data and analytics utilizes advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. In this role, you will be responsible for utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your primary focus will be on data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for individuals with a strong analytical background to join our Analytics Consulting practice. As an Associate, you will work closely with business analytics teams in India and collaborate with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide valuable business recommendations to project teams. Candidates with a minimum of 2 years of hands-on experience are encouraged to apply for this position. **Must Have:** - Experience in building ML models in cloud environments, such as Azure ML, AWS SageMaker, or Databricks - Knowledge of predictive/prescriptive analytics, including usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good understanding of statistics, including statistical tests & distributions - Experience in data analysis, including data cleansing, standardization, and data preparation for machine learning use cases - Proficiency in machine learning frameworks and tools, such as scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib - Advanced level programming skills in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Strong communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the US as a subject matter expert to formalize data sources, datasets, and data clarifications needed for data and business problem understanding - Drive and Conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Create storylines and deliver presentations to the client team and PwC project leadership - Contribute to knowledge-sharing and firm-building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

As an Artificial Intelligence Specialist at Gen AI, you will be responsible for driving customer conversations, understanding customer requirements, creating Gen AI solution architectures, and developing customer proposals and RFP responses. You will guide solution engineers in creating Gen AI POCs and solutions for various industry verticals. Your role will involve staying updated on the latest technology developments, industry best practices, and incorporating them into Gen AI applications. Additionally, you will design and deploy Proof of Concepts (POCs) and Points of View (POVs) across different industry verticals to showcase the potential of Generative AI applications. To qualify for this role, you should have at least 8 years of experience in software development, with a minimum of 3 years of experience in Generative AI solution development. A bachelor's degree or higher in Computer Science, Software Engineering, or related fields is required. You should be adept at critical thinking, logical reasoning, and have a strong ability to learn new industry domains quickly. Being a team player who can deliver under pressure is essential. Furthermore, you should have experience with cloud technologies such as Azure, AWS, or GCP, as well as a good understanding of NVIDIA or similar technologies. A solid appreciation of AI/ML concepts and sound design principles is necessary for this role. In terms of required skills, you should be extremely dynamic and enthusiastic about technology. Development experience with languages like C++, Java, JavaScript, HTML, C#, Python, or node.js is preferred. You should be able to adapt quickly to new challenges and evolving technology stacks. Excellent written and verbal communication skills in English are essential, along with strong analytical and critical thinking abilities. A customer-focused attitude, initiative-taking, self-driven nature, and the ability to learn quickly are also important qualities for this role. Knowledge of Python, ML Algorithms, Statistics, source code maintenance, versioning tools, Object-Oriented Programming Concepts, debugging, and analytical skills is required. Preferred skills for this position include at least 5 years of experience in ML development and MLOps. Strong programming skills in Python, knowledge of ML, Data, and API libraries, and expertise in creating end-to-end data pipelines are advantageous. Experience with ML models, ModelOps/MLOps, AutoML, AI Ethics, Trust, Explainable AI, and popular ML frameworks like SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc., is beneficial. Familiarity with working in cloud environments (AWS, Azure, GCP) or containerized environments (Mesos, Kubernetes), interest in understanding functional and industry business challenges, and knowledge of IT industry and GenAI use cases in insurance processes are preferred. Expertise in Big Data and Data Modeling is also desirable for this role.,

About the role: TV SD South Asia is on a mission to redefine how sales intelligence is created, consumed, and converted into impact . As we scale our Sales Operations Hub (SOH) into a next-gen center of strategic enablement, we are hiring visionary Data Insights- Enabler who go beyond analysis to engineer insight, activate strategy, and empower transformation . This is more than a data role. You will be a change agent building intelligent systems, crafting generative AI solutions, and enabling the business to see around corners using the power of data. Key Responsibilities: Data Science & AI Strategy Design and deploy machine learning models to forecast revenue, prioritize leads, and optimize pricing strategies Create AI-driven market intelligence systems to uncover white spaces and growth zones Build and automate data pipelines that enable real-time decision-making across sales units Generative AI & Prompt Engineering Develop intelligent prompts and AI workflows using LLMs (GPT, Claude, etc.) for content generation, insight extraction, and customer profiling Implement Gen AI interfaces for self-serve analytics and real-time decision support Automate proposal creation, quotation analysis, and campaign recommendations using AI Advanced Analytics & Visualization Perform high-impact statistical analyses on customer, campaign, and sales data Enrich the Power BI ecosystem with custom models, anomaly detectors, and narrative dashboards Translate data into stories and signals for CXOs, sales heads, and cross-functional teams Back-End Systems & Data Governance Build scalable, secure, and governed data systems that integrate CRM, quotation, and QRM workflows Ensure data reliability, lineage, and performance across cloud-based infrastructure Collaborate with IT and security teams to ensure compliant AI and data operations Preferred Candidate: Education & Experience Bachelor's or Masters in Data Science, AI/ML, Statistics, or Computer Science 3 to 4 years in applied data science or AI roles, ideally in a B2B, sales, or operational environment Technical Mastery Python, SQL, and data libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) Hands-on with LLMs, vector databases, and fine-tuning prompts Proficiency in cloud platforms (Azure preferred), APIs, and ETL orchestration tools Data viz using Power BI, Plotly, Seaborn or equivalent Analytical Edge Deep expertise in regression, classification, clustering, and time series forecasting Knowledge of NLP, recommendation systems, and statistical testing Strong data storytelling and executive communication Business Acumen Solid understanding of B2B sales cycles, KPIs, and lead funnel dynamics Prior experience with CRM systems (e.g., Microsoft Dynamics, Salesforce) Experience working cross-functionally with marketing, pricing, and customer success

Detailed job description - Skill Set: Data Scientist/Sr. Data Scientist (8+ Years Experience) Job Title: Data Scientist / Senior Data Scientist Job Summary: As a Data Scientist, you will design and implement machine learning models and advanced analytics solutions to solve complex business problems. You will work with large-scale data, build predictive models, and collaborate with engineering and product teams to deploy data-driven solutions. You will also lead initiatives in computer vision and deploy models using AWS services . Key Responsibilities: Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems. Design and implement computer vision solutions using CNNs, object detection, and image segmentation techniques. Deploy machine learning models using AWS services such as SageMaker, Lambda, S3, and API Gateway. Perform feature engineering, model selection, and hyperparameter tuning. Analyze experimental results and iterate on model improvements. Collaborate with data engineers to ensure data pipelines are robust and scalable. Communicate technical findings to non-technical stakeholders. Stay updated with the latest research and trends in data science and AI. Required Skills & Qualifications: Masters or PhD in Computer Science, Statistics, Mathematics, or a related field. Strong programming skills in Python (pandas, scikit-learn, TensorFlow, PyTorch). Solid understanding of machine learning algorithms and statistical modeling. Hands-on experience with computer vision libraries such as OpenCV, TensorFlow, or PyTorch. Experience deploying models on AWS using services like SageMaker, Lambda, and S3. Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms. Proficiency in SQL and data wrangling. Strong communication and collaboration skills. Mandatory Skills Data Scientist with Strong hands on skills in AI, ML models , computer Vision solutions, AWS Services , Python , Data Pipeline.

Job type : CONTRACT Required Skills: . 10+ years of experience in building highly scalable software systems/platforms. . Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. . Experience building elegant technical architectures that solve complex customer problems. . Strong hands-on experience in one or more object oriented programming languages, preferably Python. . Solid experience in API development and API lifecycle management . Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. . Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. . Experience with the full software lifecycle in highly agile and ambiguous environments . Excellent interpersonal and communication skills. . Ability to support/resolve production customer escalations with excellent debugging and problem solving skills Preferred Skills: . Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. . Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. . Experience with IAC, preferably terraform. Location - Remote, {possible to travel Chennai for meetings}.

Qualcomm India Private Limited is looking for a talented and highly motivated engineer specializing in the implementation and tuning of Digital Signal Processing (DSP) algorithms and Machine Learning (ML) models for next-generation in-vehicle audio experiences. As part of the Audio Systems and R&D team, you will be responsible for designing, developing, and optimizing DSP algorithms for automotive audio applications such as noise reduction, echo cancellation, audio enhancement, and Zonal Voice. Your role will also involve implementing and tuning Machine Learning models and audio signal processing modules and integrating them into embedded platforms to ensure real-time performance and robustness. You will work closely with cross-functional teams including hardware, software, and systems to integrate algorithms and contribute to productization. In addition, you will be required to assess and tune audio quality using tools like ACQUA, Audio Precision, and other analyzers, and participate in subjective listening evaluations. Root cause analysis and debugging of audio system issues will be part of your responsibilities, where you will propose and implement effective solutions. To be successful in this role, you should have strong programming experience in Embedded C and real-time DSP, along with a basic understanding of Python and ML. Experience with DSP algorithm design, implementation, and working with audio analysis and measurement tools is essential. Experience with training and tuning ML models for audio signal processing is highly desirable. You should also have a solid understanding of audio performance metrics and evaluation methodologies, as well as experience working in embedded and/or automotive environments. Qualcomm is an equal opportunity employer and is committed to providing an accessible process for individuals with disabilities during the application/hiring process. If you require accommodations, you can contact Qualcomm through the provided email address or toll-free number for support. Minimum qualifications for this role include a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. A Master's or PhD in Electronics and Communication, Electrical Engineering, Computer Science, or a related field is preferred. Preferred skills include knowledge of automotive infotainment systems, automotive standards, and familiarity with Qualcomm SDKs and tools. If you are looking to join a dynamic team at Qualcomm and contribute to the advancement of audio DSP, ML, and automotive compliance, please consider applying for this position.,

Qualcomm India Private Limited is looking for a talented and highly motivated engineer specializing in the implementation and tuning of Digital Signal Processing (DSP) algorithms and Machine Learning (ML) models for next-generation in-vehicle audio experiences. As a member of Qualcomms Audio Systems and R&D team, you will be involved in designing, developing, and optimizing DSP algorithms for automotive audio applications such as noise reduction, echo cancellation, audio enhancement, and Zonal Voice. In addition, you will implement and tune Machine Learning models and audio signal processing modules, integrating them into embedded platforms to ensure real-time performance and robustness. Your responsibilities will include working with ACQUA, Audio Precision, and other analyzers to objectively assess and tune audio quality, collaborating with cross-functional teams for algorithm integration, and productization. You will also be expected to perform root cause analysis and debugging of audio system issues, proposing and implementing effective solutions. It is essential to document all stages of development, from requirements and specifications to implementation and test reports. To excel in this role, you must have strong programming experience in Embedded C, real-time DSP, and a basic understanding of Python and ML. Previous experience with DSP algorithm design and implementation for audio applications, as well as hands-on experience with audio analysis and measurement tools, will be beneficial. Training and tuning ML models for audio signal processing is highly desirable, along with a solid understanding of audio performance metrics and evaluation methodologies. Qualifications for this position include a Master's or PhD in Electronics and Communication, Electrical Engineering, Computer Science (with Signal Processing coursework or experience), or a related field. Knowledge of automotive infotainment systems, automotive standards, Qualcomm SDKs, and tools will be advantageous. The ideal candidate should possess excellent problem-solving and communication skills, the ability to work independently and in teams across functions and locations. Qualcomm is an equal opportunity employer and is committed to providing reasonable accommodations to individuals with disabilities to facilitate their participation in the hiring process. If you are passionate about audio DSP, ML, and automotive compliance and standards, and have innovative ideas to contribute to a dynamic team, we encourage you to apply for this exciting opportunity at Qualcomm India Private Limited.,