Sr. Data Scientist - AI/ML Job at YASH TECHNOLOGIES CONSULTING INC. (Hyderabad)

Associate Director, Commercial Data Science

In this vital role the Associate Director of Data Science within the Customer Da...

Location

United States , Thousand Oaks

Salary:

197041.00 - 257667.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
OR Master’s degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
OR Bachelor’s degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
OR Associate’s degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
Minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources

Job Responsibility

Leads execution and delivery for Machine Learning and advanced analytics projects overseeing capabilities for predictive modeling, AI/ML, Gen AI, and other large-scale data modeling projects
Prototype and productionize advanced models using probabilistic time-series, deep learning, causal inference, reinforcement learning, agent-based simulation, and generative/agentic techniques
Lead Omnichannel media strategy aligning with brand objectives and driving impact
Provide day to day guidance for team of data scientists (both Sr and Jr members) in projects ranging from statistical analysis, predictive modeling and Generative AI
Develops, coaches, leads, and retains a dynamic, high-performing Data Science team delivering results, and gaining trust with stakeholders
Effectively communicates with key stakeholders on the impact, status and success of Data Science capability initiatives
Provides Data Science capability through relevant data science certifications and Biopharmaceutical industry expertise and direction to the CD&A organization
Maintain an awareness of current research and standard methodologies in the field of data analytics, including best practices in analytics
Primary point of contact for Commercial leaders to engage in AI/ML activities
Engages and communicates with key stakeholders on the impact, status and success of Data Science capability initiatives

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Sr Manager GTN Innovation

As a Senior Manager – V&A Insights, you will be responsible for leading team to ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, statistics or STEM majors with a minimum of 8 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 10 years of Information Systems experience
Strong understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques

Job Responsibility

Provide oversight to a team of Managers, Business analysts, data scientists and engineers on developing and deploying AI solutions
Assume the role of business owner and manage the Proprietary AI algorithms built to support Copay, Patient support, Gross to Net programs and other aspects of US value and access ecosystem
Identify Opportunity areas within US commercial organizations to leverage AI/ML into driving revenue and optimization
Cross Collaborate with US Commercial and Technology functions for expansion and continued Optimization
Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing solutions and act as a subject matter expert in solving development and commercial questions
Own the end-to-end AI Product roadmap: from performance tracking and Strategic design recommendations using predictive modeling and opportunity sizing
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Summarize and Present insights to Cross functional executive leadership
Oversee a team of 8-10 Data scientists including managers and senior associates, including setting performance standards, managing their staffing, and monitoring performance
Lead Development and integration custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

Fulltime

RDSO Sr. Mgr Data Sciences

Data is the new gold. Digitalization is generating large quantities of data and,...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 12 -17 years of experience in statistics, data science, operations research, mathematics, econometrics, business administration, or a related quantitative field
12-17 years of experience delivering complex analytical projects using quantitative methods, multivariate statistics, predictive modeling, and advanced analytics techniques
Demonstrated experience building, deploying, and optimizing machine learning models to drive business outcomes
Experience leading offshore or globally distributed analytics teams, preferably within an India delivery model
Strong ability to translate business requirements into analytical plans and influence decision-making through clear communication
Hands-on experience with modern data platforms and cloud technologies (e.g., AWS, Snowflake, Spark, Databricks)
Proficiency in Python, R, Scala, Java, SQL, and BI tools (e.g., Tableau, Spotfire)
Demonstrated application of advanced analytics, AI/ML, NLP, and statistical modeling to complex business problems
Strong written, verbal, and presentation skills with senior leadership audiences
Experience operating effectively in a matrixed, global environment

Job Responsibility

Design and develop analyses (e.g., descriptive, diagnostic, predictive, prescriptive) to enable concrete insights and inform timely decision-making
Strategize with partners across the organization to build scalable, production-grade AI/ML products and apply consistent approaches to solving complex business problems
Identify key business questions required to meet evolving needs
prioritize resources to address critical business issues and decisions
Design and build analytical frameworks, tune model parameters, and monitor model performance over time
Lead and provide thought leadership across end-to-end development, deployment, and sustainment of digital and analytics solutions
Partner with IS and data engineering teams to define data requirements, automate model retraining, and ensure robust deployment pipelines
Ensure dashboards and downstream products are fed by reliable, high-quality analytical models aligned to business needs
Apply agile delivery methods to ensure efficient, integrated, and scalable business and system processes
Build, lead, and develop a high-performing India-based Data Sciences team, including hiring, onboarding, performance management, coaching, and career development

What we offer

Full support and career-development resources to expand your skills and maximize your potential
A diverse and inclusive community of belonging, where teammates are empowered to contribute and lead
Competitive total rewards package supporting health, wealth, work/life balance, and career growth

Fulltime

Applications Development Sr Programmer Analyst - Python & Gen AI

As a Python, AI/ML, and Generative AI Developer, you will be responsible for end...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong expertise in Python, with experience in developing scalable and maintainable code
Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks
Proficiency in tools like OpenAI GPT, LangChain, Hugging Face, or similar platforms
Experience in building end-to-end automation pipelines and integrating AI/ML solutions into workflows
Strong knowledge of data preprocessing, feature engineering, and working with structured/unstructured data
Experience in designing and implementing RESTful APIs and integrating AI/ML solutions with existing systems
Proficiency in developing test cases and implementing automated testing frameworks
Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI/ML solutions
Experience with Git and CI/CD pipelines for version control and deployment
Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively

Job Responsibility

Take full ownership of designing and developing AI/ML and Generative AI solutions to automate business processes
Architect and implement scalable, efficient, and maintainable solutions using Python and relevant AI/ML frameworks
Develop and fine-tune Generative AI models (e.g., GPT, LangChain, Hugging Face) for specific use cases
Design and implement APIs and integrations to connect AI/ML solutions with existing systems
Build, train, and validate machine learning models, ensuring high accuracy and performance
Develop Generative AI models for tasks such as text generation, classification, summarization, and more
Perform data preprocessing, feature engineering, and model optimization to improve outcomes
Validate models through rigorous testing and ensure compliance with business requirements
Automate repetitive tasks and workflows using Python scripts and AI/ML models
Implement end-to-end automation pipelines, including data ingestion, model training, validation, and deployment

Fulltime

Sr. Product Manager - AI

In this role, you will be joining the Product Management team reporting to the S...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

5–8 years of PM experience in B2B SaaS, ideally in sales enablement or learning tech, with a proven ability to ship products in agile environments
2+ years working with AI/ML teams, including experience in NLP, NLU, or Generative AI applications
Skilled at leading cross-functional teams to deliver high-quality, end-to-end product experiences across complex user scenarios with multiple personas
Strong problem-solver with a track record of turning ambiguous inputs into structured roadmaps and impactful outcomes
Comfortable working with technical teams—able to discuss trade-offs with engineers and collaborate with data scientists on AI strategy
Exceptional communication and stakeholder management skills, with the ability to align executives, sales teams, and designers
Highly detail-oriented and user-obsessed, with a passion for crafting polished, intuitive experiences that drive adoption
Resilient in fast-paced, ambiguous environments, with the ability to prioritize, multitask, and go beyond role boundaries when needed

Job Responsibility

You will work with customers and stakeholders to create a strategic roadmap, prioritize problems, and define requirements, then manage the backlog through the product development process from discovery to general availability
You will become an expert on our software, customer, and our market, as well as be able to identify, prioritize and execute on both tactical and strategic projects
You will collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products
You will dig deep into customer and usage data to identify opportunities and evaluate the success of our efforts
Own the roadmap for AI features related to coaching insights, rep scoring, skill reinforcement, and conversation intelligence
Drive discovery with customers, internal SMEs, and sales leaders to uncover pain points and surface areas where AI can improve productivity, engagement, or skill growth
Work across systems—analytics, content, LMS, and CRM—to unify data into actionable insights
Validate new capabilities with customers using prototypes, mockups, and early betas
measure adoption and iterate quickly
Define and measure key success metrics (e.g., coaching engagement, learning retention, time-to-proficiency)

Fulltime

Sr. AI/ML Engineer

Utilities are accelerating their enterprise AI adoption across Operations, Custo...

Location

United States , San Francisco

Salary:

105.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration
Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms
Experience deploying AI in regulated environments
Hands-on architectural and engineering leadership capabilities
Strong communication skills with VP/Senior Director stakeholders
10+ Years Experience

Job Responsibility

Define the enterprise AI vision, roadmap, and operating model
Identify and prioritize AI/ML/GenAI opportunities across business units
Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&A automation, and contact center assistants
Establish AI governance, compliance, model risk management, and auditability frameworks
Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops
Mentor and guide data scientists, ML engineers, architects, and product owners
Promote AI literacy, change management, and best practices across the enterprise

Sr Machine Learning Engineer

We are seeking a Sr Machine Learning Engineer—Amgen’s most senior individual-con...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

3-5 years in AI/ML and enterprise software
Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python and Java
containerisation (Docker/K8s)
cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
Exceptional stakeholder management
can translate complex technical concepts into concise, outcome-oriented narratives

Job Responsibility

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
Optimise performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics—enabling rapid diagnosis and continuous improvement of live models and applications
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelise best practices that raise engineering velocity across squads
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs

Sr. Data Scientist - AI/ML

YASH TECHNOLOGIES CONSULTING INC.

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 05, 2026

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