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HCLTech

<div>
 
 
 Job Title:
 
 
 
 
 ML Ops Engineer / ML Engineer
 
 
 
 Experience - 5Yrs -20 Yrs
 
 
 Location - Chennai / Bangalore / Hyderabad / Pune / Noida / Mumbai/
 
 
 
 
 
 
 Job Overview:
 
 
 
 We are looking for an experienced MLOps Engineer to help deploy, scale, and manage machine learning models in production environments. You will work closely with data scientists and engineering teams to automate the machine learning lifecycle, optimize model performance, and ensure smooth integration with data pipelines.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Transform prototypes into production-grade models
 
 
 <ul>
 <li>
 Assist in building and maintaining machine learning pipelines and infrastructure across cloud platforms such as AWS, Azure, and GCP.
 </li>
 <li>
 Develop REST APIs or FastAPI services for model serving, enabling real-time predictions and integration with other applications.
 </li>
 <li>
 Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models deployed.
 </li>
 <li>
 Collaborate with data governance and technical teams to ensure compliance with engineering standards.
 </li>
 </ul>
 
 
 Maintain models in production
 
 
 <ul>
 <li>
 Collaborate with data scientists and engineers to deploy, monitor, update, and manage models in production.
 </li>
 <li>
 Manage the full CI/CD cycle for live models, including testing and deployment.
 </li>
 <li>
 Develop logging, alerting, and mitigation strategies for handling model errors and optimize performance.
 </li>
 <li>
 Troubleshoot and resolve issues related to ML model deployment and performance.
 </li>
 <li>
 Support both batch and real-time integrations for model inference, ensuring models are accessible through APIs or scheduled batch jobs, depending on use case.
 </li>
 </ul>
 
 
 Contribute to AI platform and engineering practices
 
 
 <ul>
 <li>
 Contribute to the development and maintenance of the AI infrastructure, ensuring the models are scalable, secure, and optimized for performance.
 </li>
 <li>
 Collaborate with the team to establish best practices for model deployment, version control, monitoring, and continuous integration/continuous deployment (CI/CD).
 </li>
 <li>
 Drive the adoption of modern AI/ML engineering practices and help enhance the team&rsquo;s MLOps capabilities.
 </li>
 <li>
 Develop and maintain Flask or FastAPI-based microservices for serving models and managing model APIs.
 </li>
 </ul>
 
 
 
 
 
 Minimum Required Skills:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, analytics, mathematics, statistics.
 </li>
 <li>
 Strong experience in Python, SQL, Pyspark.
 </li>
 <li>
 Solid understanding and knowledge of containerization technologies (Docker, Podman, Kubernetes).
 </li>
 <li>
 Proficient in CI/CD pipelines, model monitoring, and MLOps platforms (e.g., AWS SageMaker, Azure ML, MLFlow).
 </li>
 <li>
 Proficiency in cloud platforms, specifically AWS, Azure and GCP.
 </li>
 <li>
 Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Familiarity with batch processing integration for large-scale data pipelines.
 </li>
 <li>
 Experience with serving models using FastAPI, Flask, or similar frameworks for real-time inference.
 </li>
 <li>
 Certifications in AWS, Azure or ML technologies are a plus.
 </li>
 <li>
 Experience with Databricks is highly valued.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to work in a team-oriented, collaborative environment.
 </li>
 </ul>
 
 
 
 
 
 Tools and Technologies:
 
 
 
 
 Model Development &amp; Tracking:
 
 TensorFlow, PyTorch, scikit-learn, MLflow, Weights &amp; Biases
 
 
 
 Model Packaging &amp; Serving:
 
 Docker, Kubernetes, FastAPI, Flask, ONNX, TorchScript
 
 
 
 CI/CD &amp; Pipelines:
 
 GitHub Actions, GitLab CI, Jenkins, ZenML, Kubeflow Pipelines, Metaflow
 
 
 
 Infrastructure &amp; Orchestration:
 
 Terraform, Ansible, Apache Airflow, Prefect
 
 
 
 Cloud &amp; Deployment:
 
 AWS, GCP, Azure, Serverless (Lambda, Cloud Functions)
 
 
 
 Monitoring &amp; Logging:
 
 Prometheus, Grafana, ELK Stack, WhyLabs, Evidently AI, Arize
 
 
 
 Testing &amp; Validation:
 
 Pytest, unittest, Pydantic, Great Expectations
 
 
 
 Feature Store &amp; Data Handling:
 
 Feast, Tecton, Hopsworks, Pandas, Spark, Dask
 
 
 
 Message Brokers &amp; Data Streams:
 
 Kafka, Redis Streams
 
 
 
 Vector DB &amp; LLM Integrations (optional):
 
 Pinecone, FAISS, Weaviate, LangChain, LlamaIndex, PromptLayer
 
</div>

Machine Learning Engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 Salary range: Rs 600000 - Rs 800000 (ie INR 6-8 LPA)
 
 
 
 Min Experience: 0 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a passionate and motivated
 
 AI Engineer
 
 to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications.
 
 
 You will contribute to projects across various AI domains &mdash; including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics &mdash; while continuously learning and applying state-of-the-art algorithms and tools.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 AI Model Development: Design, implement, and train machine learning and deep learning models to solve business problems across different use cases.
 </li>
 <li>
 Data Preparation &amp; Feature Engineering: Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation.
 </li>
 <li>
 Algorithm Optimization: Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency.
 </li>
 <li>
 Model Deployment &amp; Integration: Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker.
 </li>
 <li>
 Research &amp; Innovation: Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes.
 </li>
 <li>
 Cross-Functional Collaboration: Work with product managers and software engineers to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Performance Monitoring: Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field.
 </li>
 <li>
 0-3 years of hands-on experience in machine learning, AI development, or data-driven software engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python (preferred) or R, with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Strong understanding of machine learning algorithms, neural networks, data preprocessing, and statistical analysis.
 </li>
 <li>
 Experience with model evaluation metrics, data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git.
 </li>
 <li>
 Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services.
 </li>
 <li>
 Familiarity with APIs, REST frameworks, and data pipelines is a plus.
 </li>
 <li>
 Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection).
 </li>
 <li>
 Internship or project experience involving AI/ML model deployment or end-to-end data workflows.
 </li>
 <li>
 Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker
 </li>
 </ul>
</div>

AI Engineer

Publicis Sapient

<div>
 
 
 Role:
 
 Senior Associate &ndash; Data Science &amp; Machine Learning
 
 
 
 Experience:
 
 5 to 8 Years
 
 
 
 Work Mode:
 
 Hybrid (3 days office per week)
 
 
 
 Location:
 
 Gurugram (GGN)/Bengaluru (BEN)
 
 
 
 Notice Period:
 
 
 Immediate to 2 weeks ONLY
 
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced
 
 Data Science &amp; Machine Learning Engineer
 
 who can design, build, and deploy advanced ML and AI-driven solutions. This role demands deep technical expertise in ML algorithms, deep learning architectures, LLMs, and model operationalization on cloud platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build predictive models using classification, regression, clustering, and time-series techniques.
 </li>
 <li>
 Perform feature engineering, algorithm selection, hyperparameter tuning, and model evaluation.
 </li>
 <li>
 Build
 
 deep learning models
 
 using PyTorch or TensorFlow (CNNs, RNNs, transformers).
 </li>
 <li>
 Develop
 
 GenAI applications
 
 using embeddings, LLMs, prompt engineering, RAG pipelines, LangChain, LlamaIndex, HuggingFace models.
 </li>
 <li>
 Design and implement
 
 end-to-end ML pipelines
 
 from ingestion to deployment.
 </li>
 <li>
 Build scalable data pipelines and work with cloud-based ML platforms (AWS/GCP/Azure ML).
 </li>
 <li>
 Deploy, monitor, and maintain ML models using
 
 MLOps tools
 
 and CI/CD workflows.
 </li>
 <li>
 Work closely with product and engineering teams to integrate ML solutions.
 </li>
 </ul>
 
 
 
 
 
 Must-Have Skills
 
 
 <ul>
 <li>
 Strong fundamentals:
 
 Statistics, Probability, Linear Algebra, Optimization
 
 </li>
 <li>
 Machine Learning:
 </li>
 <li>
 Classification, Regression, Clustering
 </li>
 <li>
 Model evaluation (AUC, F1, Recall, ROC curves)
 </li>
 <li>
 Cross-validation, bias-variance trade-off
 </li>
 <li>
 Deep Learning:
 </li>
 <li>
 CNNs, RNNs, Transformers
 </li>
 <li>
 Hands-on PyTorch / TensorFlow
 </li>
 <li>
 GenAI &amp; NLP:
 </li>
 <li>
 LLMs (GPT, LLaMA, Claude, etc.)
 </li>
 <li>
 Embeddings, RAG, vector databases
 </li>
 <li>
 Prompt engineering, model fine-tuning
 </li>
 <li>
 Programming:
 </li>
 <li>
 
 Python (NumPy, Pandas, Scikit-learn)
 
 </li>
 <li>
 
 PyTorch/TensorFlow
 
 </li>
 <li>
 
 SQL
 
 </li>
 <li>
 MLOps:
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Model deployment &amp; monitoring
 </li>
 <li>
 Lifecycle management
 </li>
 <li>
 Version control (Git) and cloud ML platforms (AWS/GCP/Azure)
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Hugging Face models
 </li>
 <li>
 Knowledge of Docker/Kubernetes
 </li>
 <li>
 Exposure to reinforcement learning
 </li>
 <li>
 Experience with A/B testing or experimentation frameworks
 </li>
 </ul>
 
 
 
 
 
 Required Candidate Information
 
 
 
 (For screening &ndash; mandatory)
 
 <ul>
 <li>
 Total Experience
 </li>
 <li>
 Relevant DS/ML Experience
 </li>
 <li>
 Current CTC
 </li>
 <li>
 Expected CTC
 </li>
 <li>
 Notice Period (
 
 Immediate &ndash; 2 weeks only
 
 )
 </li>
 <li>
 Current Location
 </li>
 <li>
 Preferred Location
 </li>
 <li>
 LinkedIn Profile URL
 </li>
 </ul>
 
 
 
 
 
 How to Apply
 
 
 
 Send your updated CV to:
 
 
 📩
 
 Vijay.S@xebia.com
 
 
</div>

Senior Associate – Data Science & Machine Learning

Docusign

<div>
 
 Company Overview
 
 
 
 Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
 
 
 What you'll do
 
 
 We&rsquo;re looking for passionate and talented Software Engineers to build out the machine learning platform and infrastructure that will power Docusign&rsquo;s IAM. You will help support all aspects of the machine learning lifecycle, specifically areas like data storage, annotation, training systems, and telemetry infrastructure. Our team is responsible for building a platform that supports a team of machine learning engineers and data scientists and can serve AI solutions to Docusign at scale. This role will be a part of the AI platform team at Docusign, which builds analytics products that utilize AI, machine learning, and cutting-edge deep learning based models to provide insights for the Docusign IAM. Our team is distributed across the San Francisco/Bay Area, Seattle, Ireland and India and you will be working collaboratively across these teams.
 
 
 This position is an individual contributor role reporting to the Senior Manager, Software Engineering - AI Platform.
 
 
 
 Responsibility
 
 
 
 <ul>
 <li>
 Write clean, high-quality, maintainable, and testable code, primarily using React and C#
 </li>
 <li>
 Develop within an Agile/Scrum framework, leveraging tools such as automated unit testing, CI/CD pipelines, code reviews, and version control (Git)
 </li>
 <li>
 Identify and raise issues proactively that could impact delivery timelines
 </li>
 <li>
 Work in SQL, Backend Services, REST API, Azure stack
 </li>
 <li>
 Work with Project Management and other developers to understand design requirements and provide estimates for development
 </li>
 <li>
 Fix production issues and maintain the code as needed
 
 
 </li>
 </ul>
 Job Designation
 
 
 
 Hybrid:
 
 Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
 
 
 Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
 
 
 What you bring
 
 
 
 Basic
 
 
 
 <ul>
 <li>
 2+ years of related experience with a Bachelor&rsquo;s degree
 </li>
 <li>
 Experience building/consuming RESTful and gRPC based web-services
 </li>
 <li>
 Experience with CI/CD build pipelines, integration tests, and test-driven development
 </li>
 <li>
 Experience with cloud deployment technologies, such as Kubernetes or Docker containers
 </li>
 <li>
 Experience with batch processing and workflow management tools: Azkaban, Luigi, Airflow
 </li>
 <li>
 Experience writing applications primarily in Java and Python
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience building scalable and reliable software architecture
 </li>
 <li>
 Experience building machine learning related features, data pipelines, and storage systems
 </li>
 <li>
 Ability and desire to move across technology stacks fluently and easily
 </li>
 <li>
 Experience querying both relational and NoSQL databases
 
 
 </li>
 </ul>
 Life at Docusign
 
 
 
 Working here
 
 
 
 Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.
 
 
 We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.
 
 
 
 Accommodation
 
 
 
 Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
 
 
 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
 
 
 Applicant and Candidate Privacy Notice
 
 
</div>

Software Engineer

Sigmoid

<div>
 Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We o&fflig;er best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
 
 
 
 Offices
 
 : New York | Dallas | San Francisco | Lima | Bengaluru
 
 
 The below role is for our Bengaluru office.
 
 
 
 About the Role
 
 :
 
 
 You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you.
 
 
 
 Role: ALDS
 
 
 
 
 Mandate
 
 
 Skills &amp; Competencies:
 
 
 
 <ul>
 <li>
 Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools &amp; Cloud Technology (AWS, Azure, GCP)
 </li>
 <li>
 Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
 </li>
 <li>
 Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
 </li>
 <li>
 Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
 </li>
 <li>
 Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
 </li>
 <li>
 Contribute to internal product development initiatives related to data science.
 </li>
 <li>
 Develop data science roadmap, and guide data scientist to meet their deliverables.
 </li>
 <li>
 Handling end-to-end client AI &amp; analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
 </li>
 <li>
 Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
 </li>
 <li>
 Drive excellent project management required to deliver complex projects, including effort/time estimation.
 </li>
 <li>
 Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround &amp; higher accuracy
 </li>
 <li>
 Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
 </li>
 <li>
 Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
 </li>
 <li>
 Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
 </li>
 <li>
 Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
 </li>
 <li>
 Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
 </li>
 <li>
 Build business case for technological investments to be made for future needs and to remain competitive
 </li>
 <li>
 Ensure that billing and utilization of team members is maximized throughout the year
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 Experience designing data science solutions to business problems
 </li>
 <li>
 Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
 </li>
 <li>
 Comfortable with large scale data processing and distributed computing
 </li>
 <li>
 Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.
 </li>
 <li>
 Providing required inputs to sales, and pre-sales activities
 </li>
 <li>
 Excellent written and verbal communication skills
 
 
 </li>
 </ul>
 
 Desired Experience &amp; Education:
 
 
 
 <ul>
 <li>
 4- 8 years of relevant Machine Learning experience.
 </li>
 <li>
 Minimum Master's Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
 </li>
 </ul>
</div>

Associate Lead Data Scientist

SUN Mobility

<div>
 
 
 About the Role:
 
 
 
 Sun Mobility seeks a Software &amp; Data Analyst to drive data-driven decision making and digital transformation initiatives within our Chairman's Office. This role combines software development with advanced analytics to build data pipelines, automate processes, and deliver insights that support strategic initiatives in the electric vehicle ecosystem.
 
 
 
 
 
 
 Key Responsibilities Data Engineering &amp; Analysis
 
 
 
 &bull; Design and build data pipelines using Python to extract, transform, and load data from multiple sources
 
 
 &bull; Develop automated dashboards and real-time analytics platforms for customer and operational metrics
 
 
 &bull; Conduct advanced data analysis using statistical methods and machine learning techniques
 
 
 &bull; Implement data quality frameworks and ensure data integrity across systems Software Development &amp; Automation
 
 
 &bull; Develop Python applications for business process automation and workflow optimization
 
 
 &bull; Build APIs and microservices to integrate various business systems and data sources
 
 
 &bull; Create web applications for internal stakeholders using modern frameworks
 
 
 &bull; Implement AI/ML solutions to enhance business operations and customer experience
 
 
 &bull; Automate repetitive tasks and manual processes through intelligent scripting Required
 
 
 
 
 
 
 Qualifications Education &amp; Experience
 
 
 
 &bull; Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
 
 
 &bull; 2&ndash;3 years experience in software development, data analysis, or similar technical roles
 
 
 &bull; Experience in analytics or data science roles preferred
 
 
 
 
 
 
 Technical Skills
 
 
 
 &bull; Python expertise with libraries like pandas, numpy, scikit-learn, matplotlib, seaborn
 
 
 &bull; Database management using SQL, PostgreSQL, MongoDB, or similar systems
 
 
 &bull; Cloud platforms experience (AWS, Azure, or GCP) for data storage and processing
 
 
 &bull; Machine Learning frameworks (TensorFlow, PyTorch, or scikit-learn)
 
 
 &bull; Data visualization tools (Tableau, Power BI, Plotly, or similar)
 
 
 &bull; Web development skills (Flask/Django, HTML, CSS, JavaScript) preferred
 
 
 &bull; Version control using Git and collaborative development practices
 
 
 
 
 
 
 Core Competencies
 
 
 
 &bull; Problem-solving ability with strong analytical and logical thinking
 
 
 &bull; Process automation mindset with focus on efficiency and scalability
 
 
 &bull; Attention to detail in code quality, data accuracy, and system reliability
 
 
 &bull; Collaboration skills to work across technical and business teams
 
 
 
 
 
 
 What We Offer
 
 
 
 &bull; Opportunity to work with cutting-edge technologies and AI tools
 
 
 &bull; Direct impact on strategic initiatives through data-driven insights
 
 
 &bull; Professional development in the rapidly evolving EV and clean energy sector
 
 
 &bull; Access to latest software development and analytics platforms
 
</div>

Data Analyst

Albertsons Companies India

<div>
 
 
 About Albertsons Companies Inc.:
 
 
 
 As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
 
 
 We build and shape technology solutions that solve customers&rsquo; problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
 
 
 Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
 
 
 
 
 
 
 About Albertsons Companies India:
 
 
 
 At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company&rsquo;s technology journey to support millions of customers&rsquo; lives every day.
 
 
 At the Albertsons Companies India, we are raising the bar to grow across Technology &amp; Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
 
 
 
 
 
 
 Position Title: Advanced Data Scientist
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; responsibilities:
 
 
 <ul>
 <li>
 Collaborate with business and product stakeholders and build production grade models and machine learning algorithms on large-scale datasets
 </li>
 <li>
 Enhance and apply end-to-end demand forecasting models to support various business decision making
 </li>
 <li>
 Optimize inventory policies to reduce supply chain waste and opportunity cost related to holding excess inventory by maximizing the productivity of inventory
 </li>
 <li>
 Identify key drivers for out of stocks and address them using Machine Learning and Mathematical Optimization techniques to maximize in stock conditions at stores to provide the best customer experience
 </li>
 <li>
 Apply machine learning and mathematical optimization to increase productivity in ecommerce fulfillment operations and deliver the most optimum user experience on ecommerce website and loyalty mobile app
 </li>
 <li>
 Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
 </li>
 <li>
 Build models and algorithms to fuel growth initiatives for In Stock, Omni Channel, Digital and Merchandising
 </li>
 <li>
 Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
 </li>
 <li>
 Convey machine learning solutions with intuitive visualizations and effective communications
 </li>
 <li>
 Scale up prototypes and implement reliable automated production workflow for models
 </li>
 <li>
 Collaborate with software development engineers to integrate models
 </li>
 </ul>
 
 
 
 
 
 Experience Required:
 
 
 <ul>
 <li>
 Bachelors or master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically intensive fields such as Experimental Physics or Chemical Engineering
 </li>
 <li>
 4+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
 </li>
 <li>
 Experience with any of the following business analytics practices is preferred:
 </li>
 <li>
 Supply chain analytics, including inventory optimization
 </li>
 <li>
 Time series forecasting for large-scale demand forecasting
 </li>
 <li>
 Ecommerce fulfillment operations, pick path optimization
 </li>
 <li>
 4+ years of experience and proficiency in SQL, Python and/or Spark-ML
 </li>
 <li>
 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
 </li>
 <li>
 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
 </li>
 <li>
 Ability to write production-level code in Python
 </li>
 <li>
 Experience with Snowflake, Azure Databricks is a strong plus
 </li>
 </ul>
 
 
 
 
 
 Skills Required:
 
 
 <ul>
 <li>
 Statistical and Experimental Modeling (regression modeling, survival modeling, experimental design multivariate/A-B testing)
 </li>
 <li>
 ML and AI (deep learning algorithms, NLP, nonparametric Bayesian modeling, ensemble modeling, recommendation algorithms, clustering)
 </li>
 <li>
 Mathematical and Applied Optimization (operations research, linear optimization, non-linear optimization, numerical search)
 </li>
 <li>
 SQL, Python
 </li>
 </ul>
 
 
 
 
 
 Skills Preferred:
 
 
 <ul>
 <li>
 Big Data and Tools (Spark-ML, Snowflake, Spark, Hadoop, Big Query)
 </li>
 <li>
 Production-level Python coding
 </li>
 <li>
 Data Engineering
 </li>
 <li>
 AI Methodologies (GenAI, Agentic AI)
 </li>
 </ul>
</div>

Advanced Data Scientist [T500-20971]

Explore 179+ Machine learning engineer in Mangaluru this November. Find roles across top companies and apply now to boost your career.