Job Title: Senior Machine Learning Engineer Company: Jobgether Job Category: Machine Learning Roles & Responsibilities: This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer based in India. We are looking for an experienced Senior Machine Learning Engineer to build and scale advanced AI\-powered search and personalization systems in a global technology environment. In this role, you will transform machine learning models into reliable, high\-performance production systems capable of handling millions of customer search interactions. You will work across real\-time search infrastructure, query understanding, large\-scale data pipelines, and large language model (LLM) applications. Collaborating closely with search quality and engineering teams, you will optimize model performance, latency, scalability, and infrastructure costs. You will also contribute to technical architecture decisions and drive continuous improvements in production machine learning systems. This is an exciting opportunity to shape the future of intelligent search, product discovery, and personalized digital commerce experiences. Accountabilities * Design, develop, deploy, and maintain machine learning components within real\-time search serving systems, ensuring performance under strict latency requirements. * Build query\-time machine learning capabilities that improve search understanding, query interpretation, and the overall relevance of search results. * Develop and scale machine learning and LLM data pipelines across large product catalogs, ensuring data freshness, processing efficiency, and cost optimization. * Optimize machine learning models across different merchants, business verticals, languages, and geographical markets. * Build and scale online features, model\-serving infrastructure, and production systems that support high\-volume search and discovery applications. * Establish offline evaluation frameworks and safe production rollout processes, including baseline comparisons, A/B testing, fallback mechanisms, and latency and cost monitoring. * Improve observability, monitoring, and diagnostic capabilities to identify performance issues and maintain the reliability of production machine learning systems. * Collaborate with Search Quality and engineering teams to integrate advanced relevance and ranking models into production environments while meeting performance and cost targets. * Analyze model and system performance, identify technical bottlenecks, and implement improvements across both machine learning and backend engineering components. * Contribute to technical architecture discussions, influence engineering decisions, and promote scalable software development and machine learning best practices. * Take end\-to\-end ownership of technical challenges, from problem analysis and solution design through implementation, deployment, and ongoing optimization. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Work Location: India Availability: Full time

Job Title: Data Scientist - GCP & MLOps Company: Technology Next Job Category: Machine Learning Roles & Responsibilities: Job Description Key Responsibilities \- Develop, train, and validate machine learning models using Python. \- Build and maintain ML training and inference pipelines. \- Manage trained model artifacts using Google Cloud Storage (GCS). \- Implement model versioning, monitoring, rollback, and lifecycle management. \- Monitor production models, detect model drift, and support retraining strategies. \- Understanding of model monitoring, drift detection, and inference pipelines. \- Knowledge of model monitoring and automated retraining strategies. Work Location: On the road Work Location: Telangana, India Availability: Full time

Job Title: Machine learning engineer Company: GoHire Job Category: Machine Learning Roles & Responsibilities: Overview We are seeking a talented and innovative individual to join our team in a crucial capacity, focusing on the development and implementation of advanced machine learning models. This position offers an exciting opportunity to work on cutting\-edge technology and contribute to impactful projects that enhance our services. Key Responsibilities * Design, develop, and deploy machine learning models to solve real\-world problems. * Collaborate with cross\-functional teams to integrate machine learning solutions into products and services. * Analyse large datasets to derive actionable insights and improve model performance. * Conduct experiments to evaluate model effectiveness and iterate on solutions based on findings. * Keep abreast of the latest advancements in machine learning and artificial intelligence. Work Location: Gurugram, Haryana, India Availability: Full time

Job Title: Technical Account Representative (TAM) Company: Oracle Job Category: Machine Learning Roles & Responsibilities: We are seeking Oracle Database professionals to provide 24x7 operational and advanced support for mission\-critical customer environments. The role includes database administration, monitoring, troubleshooting, performance tuning, high availability, backup/recovery, patching, and incident resolution across Oracle Database platforms. * Administer, monitor, maintain, patch, upgrade, and troubleshoot Oracle Database environments. * Perform SQL, database, memory, and performance tuning; analyze AWR/ASH and resolve complex performance issues. * Manage Oracle RAC, ASM, RMAN, Data Guard, Fast\-Start Failover, backup/recovery, and disaster\-recovery operations. * Support Oracle GoldenGate, Exadata, multitenant databases (CDB/PDB), Enterprise Manager, and OCI\-hosted databases where applicable. * Conduct database health checks, capacity reviews, proactive risk identification, and operational reporting. * Resolve incidents within SLA, lead technical escalations, document root causes, and maintain support runbooks. * Work closely with customer IT teams, Oracle Support, Development, and internal SMEs to drive issues to closure. * Support database security capabilities including TDE, Oracle Key Vault, Database Vault, wallets, and AVDF where required. * Provide clear customer communication, technical status updates, and action plans during critical incidents. * Advanced Oracle Database administration, architecture, upgrades, and patching. * Expert performance tuning using AWR, ASH, ADDM, execution plans, and SQL optimization. * Administration and troubleshooting of Oracle RAC, ASM, and Data Guard. * Oracle GoldenGate (GG) configuration, replication monitoring, performance tuning, and troubleshooting. * Advanced RMAN backup and recovery, including point\-in\-time recovery and recovery validation. * Database security, including Transparent Data Encryption (TDE), Oracle Database Vault, access controls, privilege management, and security hardening. * Oracle Audit Vault and Database Firewall (AVDF) deployment, configuration, audit collection, monitoring, and policy management. * Ownership of complex production incidents, root cause analysis, and preventive actions. * Planning and execution of database migrations and upgrades with minimal downtime. * Capacity planning, storage optimization, and automation using SQL, PL/SQL, and Linux/Unix shell scripting. * Disaster recovery planning, failover testing, and business continuity support. Technical leadership, mentoring of L1/L2 teams, and review of database changes and operational procedures. * Responsibilities * Develop and Manage the Oracle Customer Relationships by forming long term customer relationships with key customer contacts. Work is non\-routine and complex, involving the application of advanced technical/business skills in area of specialization. Provides direction and mentoring to more junior team members. Understand customer’s industry drivers, organization structure and key stakeholders, key projects and goals, and critical success factors as well as technical infrastructure and roadmap. * Work collaboratively with sales, the delivery teams and customers to identify appropriate solutions. * Coordinate delivery of Oracle Services, operating as the primary delivery contact to the customer, aiding and facilitating customer communications and activities across other Oracle lines of business. * Responsible for delivering to the contracted terms, effective and efficient use of Oracle delivery resources, achieving the contract margin and revenue objectives. * Identify and submit delivery leads for new opportunities and contract renewals. * Act as a point of contact for any major incidents, responsible for managing communication and customer expectations through resolution. * Establish and maintain a delivery governance model with the customer at the management and executive levels. * Perform scope and risk management. * Contribute to initiatives for Oracle delivery organizational process improvement and tool development. * Conduct periodic Service Account Planning and Account Reviews. * Be the single point of contact within Oracle for the customer, acting as their advocate for the service you are responsible for delivering. * The CSS TAM is a customer advocate and must demonstrate customer obsession by placing the client needs first. * Provide technical guidance and be part of the customer calls/meeting on adoption of database technology * Should possess strong technical skills on Database and DB products to advocate to customer the use cases and guide the customer and team of Oracle CSS Engineers through the lifecycle of Oracle Technology product adoption * Manage the contract or delivery engagement as defined by ACS line management, including creating and maintaining accurate documentation * Maintain the Oracle business systems to ensure systems are up to date with the correct/current information (resource assignment, timecards, rates, completion estimates, invoice details etc.) to ensure that services are delivered efficiently, invoices are generated in a timely manner and revenues are recognised promptly. * Plan and deploy resources to ensure effective delivery within agreed budgetary constraints. * Where appropriate create and maintain the ACS service delivery or project plan. * Actively manage project forecast, identify risks and issues and opportunity for revenue collection (upside) Accountabilities : * Proactively manage the contract delivery to completion / customer acceptance * Proactively report on any potential risks / issues that may impact service delivery or customer satisfaction * Manage any customer escalation that may arise * Ensure all contract\-related systems and documentation either required contractually or as part of a program, are up to date and accurate * Monitor and report revenue forecast and margin estimates, revenue and margin achievements for each contract * Work in line with customer working practices and procedures, if contractually agreed * Operate in line with Oracle CSS business processes and procedures * Operate in line with Oracle Global and local HR policies and procedures Work Location: Karnataka, India Availability: Full time

Job Title: AI Consultant / AI Architect/ Tech Lead Company: SIBAS Job Category: Machine Learning Roles & Responsibilities: About the Role We are seeking a highly skilled and business\-focused AI Consultant to bridge the gap between complex artificial intelligence technologies and real\-world business transformations. In this role, you will act as a trusted advisor to our clients, evaluating their business processes, identifying high\-impact AI opportunities, and designing robust AI/ML architectures. You will guide projects from initial feasibility assessments and proof\-of\-concepts (PoCs) through to production\-grade deployment, working closely with cross\-functional development teams in our Kochi hub. Key Responsibilities * Strategic Advisory: Partner with clients and business stakeholders to understand their pain points, map out AI readiness, and define high\-impact AI/ML strategies. * Solution Architecture: Architect scalable, secure, and production\-ready AI solutions leveraging Generative AI, Large Language Models (LLMs), Machine Learning, and Cloud AI services (Azure/AWS/GCP). * Proof of Concept (PoC) Development: Rapidly build and test functional prototypes (using frameworks like LangChain, Llama Index, or custom pipelines) to demonstrate business value before full\-scale implementation. * Technical Delivery \& Oversight: Collaborate with data scientists, data engineers, and software developers to oversee the development, deployment (MLOps), and scaling of AI applications. * Vendor \& Tool Evaluation: Evaluate third\-party AI vendors, open\-source models, and SaaS solutions to provide objective build\-vs\-buy recommendations. * AI Governance \& Compliance: Ensure all proposed AI architectures adhere to strict ethical data practices, security frameworks, data privacy laws, and corporate governance. Work Location: In person Work Location: Cochin, India Availability: Full time

Job Title: Senior Machine Learning Engineer Company: Docusign Job Category: Machine Learning Roles & Responsibilities: Company Overview Docusign brings agreements to life. More than 1\.8 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’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 the Docusign AI\-native IAM platform, companies can create, commit, and manage agreements with solutions created by the \#1 company in e\-signature and contract lifecycle management (CLM). This position is an individual contributor role reporting to the Sr. Manager, Software Engineering. Responsibility * Design and implement the core knowledge graph and schema that model agreements, addenda, amendments, and related entities as explicit nodes and edges, enabling multi\-hop and hierarchical reasoning over complex contract portfolios * Build LLM Wiki style compilation pipelines that transform newly ingested agreements into structured, interconnected markdown or graph\-based knowledge bases, including concept, entity, and comparison pages that stay in sync with upstream document changes * Develop and productionize retrieval architectures that leverage the compiled knowledge base for high\-precision, multi\-step question answering and navigation across corporate hierarchies * Architect and implement Iris's long\-term memory (LTM) layer, including storage, retrieval, and summarization mechanisms that persist chat history, user actions in Canvas, and administrative overrides as episodic memories over time * Create ML and LLM components that fuse contract\-centric retrieval (GraphRAG \+ LLM Wiki) with institutional memory (LTM) so Iris can adapt behavior based on prior decisions, exemptions, and corrections without requiring users to restate context * Own the end\-to\-end lifecycle of these models and systems\-from feature and schema design through training, evaluation, deployment, and monitoring\-with a focus on reliability, safety, and debuggability in production environments 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. 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’ll be loved by us, our customers, and the world in which we live. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Data Scientist Lead - Agentic Solutions Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As the next push into this investment, JPMC is hiring the best talents to join our AI engineering team. We are executing like a startup and building the next generation technology that combines JPMC unique data and full\-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for people who are excited about the opportunity. As a Data Scientist Lead at JPMorgan Chase, you design and deliver trusted market\-leading technology products in a secure, stable, and scalable way. Job Responsibilities * Designs and Implement LLM\-driven agent services for design, code generation, documentation, test creation and observability on AWS * Develops orchestration and communication layers between agents using frameworks like A2A SDK, LangGraph, or Auto Gen * Integrates AI agents with toolchains such as Jira, Bitbucket, Github, Terraform and monitoring platforms * Collaborates on system design, SDK development and data pipelines supporting agent intelligence * Provides technical leadership, mentorship, and guidance to junior engineers and team members. * Drives adoption and governance of approved AI\-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI\-assisted code review/refactoring, test acceleration, release readiness, incident/root\-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. * Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI\-assisted development and automation capabilities, to improve the value realized by automation at scale. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Bengaluru, India Availability: Full time

Job Title: Sr AI Engineer Company: Dynatrace Job Category: Machine Learning Roles & Responsibilities: Your role at Dynatrace -------------------------- As part of a new team focused on accelerating AI adoption, the Sr AI Engineer will design and deploy AI\-powered automation and intelligent agents embedded directly into business operations. This role takes AI capabilities proven in business\-function POCs and scales them into governed, production\-grade solutions, using Snowflake as the enterprise data foundation and a combination of cloud services and intelligent automation platforms for orchestration and execution. The position partners with Data, IT, and business teams to automate workflows, support decision\-making, and improve operational efficiency. The focus is on applying AI to real business processes, not research or model training. Key Responsibilities AI \& Copilot Development * Build internal AI assistants, copilots, and agents for support, operations, and business teams * Implement Retrieval Augmented Generation (RAG) using Snowflake data and curated metrics * Ground AI responses in modeled enterprise data rather than documents alone * Implement prompt strategies, guardrails, and response evaluation techniques * Automate operational processes such as ticket triage, routing, approvals, and document handling * Combine LLMs and AI agents with intelligent automation platforms (Workato, Power Automate, UiPath) to automate business processes end to end * Develop AI\-driven classification, summarization, and recommendation services * Implement human\-in\-the\-loop workflows and exception handling * Continuously improve workflows based on business outcomes and user feedback * Scale proven AI POCs into production\-ready, supportable solutions * Build and maintain AI\-powered backend services, APIs, and microservices * Integrate AI capabilities with enterprise systems (ITSM, CRM, ERP, and internal applications) * Troubleshoot failures across data pipelines, orchestration, and model inference layers * Participate in technical design and architecture discussions * Utilize Snowflake as the trusted data source for AI decisions * Use dbt models as the semantic and business logic context for automation * Enable real\-time and batch data\-driven decision support * Ensure AI actions align with defined business metrics and data definitions * Implement serverless workflows using AWS (Lambda, Step Functions, API Gateway, S3, EventBridge) * Monitor system performance, latency, and reliability * Track AI usage, accuracy, and cost efficiency * Implement logging, auditing, and traceability of AI decisions #### Mental health support Our Employee Assistance Program, powered by Telus Health, offers support for you and your family members. #### Learn \& develop A day of paid volunteer time to support a community or cause you care about. Dynatrace (NYSE: DT) is the leading AI\-powered observability and security platform. We're advancing observability for today's digital businesses, helping transform modern digital ecosystems' complexity into powerful business assets. Work Location: Karnataka, India Availability: Full time

Job Title: Engineering, Sr Engineer Company: Synopsys Job Category: Machine Learning Roles & Responsibilities: Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI\-powered products. We deliver industry\-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R\&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. * Build and extend dataset factories that produce repeatable, versioned corpora across geometry, mesh, and solver setup using agentic orchestration, shared across CFD, Icepak (electronics cooling), and HFSS (high\-frequency electromagnetics) * Produce large, quality\-gated datasets for training Large Physics Foundation Models, ensuring bad simulations are quarantined and data provenance is tracked end to end * Take trained checkpoints through deployment: package models, stand up inference serving, and build integrations that product teams can call inside their workflows for initialization, prediction, or design\-loop acceleration * Partner with product teams to understand deployment constraints, test in real workflows, and support forward\-deployed engineering when models go live * Write production\-grade Python with testing, versioning, CI, and operability for long\-running jobs that span data generation, training, and serving * Build data loaders and training pipelines for irregular 3D simulation data using PyTorch, handling distributed training, checkpointing, and physics\-based evaluation metrics * Own the ambiguous boundary between data engineering, model training, and product deployment, closing gaps instead of waiting for a perfect handoff * Enable Synopsys simulation products to shift from "run a solver for every design" to "a model trained on high\-fidelity data proposes a physically useful field in seconds," fundamentally changing how customers design cars, aircraft, chips, packages, and RF systems * Build the data and deployment infrastructure that competitors cannot replicate from a research paper, giving Synopsys a durable advantage in physics\-informed ML * Accelerate design loops for customers by orders of magnitude, letting them explore more configurations, fail faster, and use expensive solvers only where fidelity still matters * Create reusable dataset factories that scale across multiple physics domains, so campaigns can generate trusted multi\-physics corpora without reinventing the pipeline every time * Make Large Physics Foundation Models operationally real for product teams, so they can ship models that customers trust and that survive contact with production workflows * Establish reproducible training runs and physics\-based evaluation standards that ensure models fail gracefully and teams know the bounds of what they can and cannot predict * Support product integrations that let downstream engineers call your models without needing to understand the ML stack, just the physics constraints that matter for their workflow * You close gaps instead of waiting for someone else to define the interface. If the data pipeline does not exist, you build it. If the deployment story is unclear, you figure it out with the product team. * Scientific honesty matters to you. You quarantine bad simulations, report what the model does not predict, and own the bounds of failure instead of overselling what works. * You defer to specialists on what you do not know and collaborate effectively with product engineers who will live with your deployment long after you hand it off. * You can explain a technical tradeoff to a product manager in two sentences without losing the nuance, and you can debug a distributed training failure at 3am when the run is 80% done. * You think in systems, not just models. The checkpoint is not the finish line. Packaging, serving, versioning, and supportability are part of the job, and you treat them that way. The team's job is to make Large Physics Foundation Models real for CFD, Icepak, and HFSS. Research defines the architectures and learning objectives. This engineering seat makes the data and the runtime real. You will work with specialists who understand the physics deeply, product teams who know what customers need, and other ML engineers who care about building systems that scale. The core mission has three parts: reuse and scale dataset factories so campaigns produce large, clean, 3D physics corpora; train large models on that data with reproducible runs and physics\-based evaluation; and deploy and support those models so product teams can integrate them, operate them, and trust their limits. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability. Work Location: Maharashtra, India Availability: Full time

Job Title: Senior Data Scientist Company: Epsilon Job Category: Machine Learning Roles & Responsibilities: The Automotive Practice at Epsilon is a rapidly growing team, driving growth for major players in the automotive industry \- from Original Equipment Manufacturers (OEMs) to dealerships across North America. Part of a 1,600\-member multinational team, the practice provides the automotive world’s largest service reminder platform, alongside agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of auto dealerships in North America and maintains relationships with over 280 million customers. Home to innovation and ground breaking technology, our Auto team leads the game in developing outstanding software and solutions for hyper\-personalized digital marketing. The Automotive Data Science team within Epsilon partner with both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making. The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms. About The Role The Sr. Data Scientist would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards automation, process improvement and efficiency. Demonstrates innovative thinking, passion, and cross team collaboration. Establish strong working relationship with partners and coach junior data scientists in the team. Responsibilities * Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building, and validating predictive models, explaining model results and insights. * Use AI, ML, DL techniques such as regression, classification, clustering, tree\-based algorithms, support vector machine, and neural networks, recommender system, attribution modeling to address business problems. * Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine\-tuning model parameters. * Provide requirements to develop analytical capabilities, platforms, and pipelines. * Present insights and recommendations to audiences of varying levels of technical sophistication * Automate processes to ensure scalability of solutions by collaborating with cross\-functional teams. * Coach junior data scientists and support delivering projects. Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400\+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real\-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry\-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. * People centricity: We focus on employee well\-being in an environment where colleagues truly care about each other. * Collaboration: We work together, support one another, and collectively achieve goals. * Growth: There are endless opportunities for growth through learning, development and career advancement. * Innovation: We drive progress through cutting\-edge solutions and forward\-thinking approaches. * Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Work Location: Bengaluru, Karnataka, India Availability: Full time