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

Sr Data Scientist

We are seeking an exceptional Senior Data Scientist to join our dynamic Data Sci...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Minimum 8+ years of progressive experience in AI/Data Science
At least 3+ years of hands-on experience in building AI/ML models for Financial Planning & Analysis or Corporate Finance domain
Proven track record of designing and delivering production-grade AI/ML projects in enterprise environments for finance
Experience working with large-scale financial datasets and ERP systems (SAP, Oracle, Workday)
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs)
Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required)
Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods
Deep Learning: TensorFlow/PyTorch for NLP and predictive modeling applications

Job Responsibility

Develop and maintain advanced predictive models for Sales, revenue forecasting, expense management, and cash flow optimization
Build automated model and reporting systems using AI
Design variance analysis frameworks to identify key drivers of financial performance
Conduct scenario analysis and sensitivity modeling for strategic initiatives
Present findings and recommendations to senior leadership and stakeholders
Establish data quality standards and governance frameworks for financial analytics
Drive innovation by evaluating and implementing emerging AI/data science technologies
Mentor junior team members and foster a culture of data-driven decision making
Partner with business leaders to translate complex financial data into actionable insights

What we offer

Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects
Collaborative and inclusive culture that values innovation and diversity
State-of-the-art workspace in Gurgaon with modern amenities
Flexible work arrangements including hybrid work options –3 days in office arrangement
Contribute to BAXTER's mission of saving and sustaining lives worldwide
Work on meaningful projects that directly improve healthcare outcomes
Be part of a Fortune 500 company with global presence and stability

Fulltime

Sr Data Scientist

We are seeking an exceptional Senior Data Scientist to join our dynamic Data Sci...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Minimum 8+ years of progressive experience in AI/Data Science
At least 3+ years of hands-on experience in building AI /ML models for Financial Planning & Analysis or Corporate Finance domain
Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance
Experience working with large-scale financial datasets and ERP systems (SAP, Oracle, Workday)
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs)
Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required)
Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods
Deep Learning: TensorFlow/PyTorch for NLP and predictive modeling applications

Job Responsibility

Develop and maintain advanced predictive models for Sales, revenue forecasting, expense management, and cash flow optimization
Build automated model and reporting systems using AI
Design variance analysis frameworks to identify key drivers of financial performance
Conduct scenario analysis and sensitivity modeling for strategic initiatives
Present findings and recommendations to senior leadership and stakeholders
Establish data quality standards and governance frameworks for financial analytics
Drive innovation by evaluating and implementing emerging AI/data science technologies
Mentor junior team members and foster a culture of data-driven decision making
Partner with business leaders to translate complex financial data into actionable insights

What we offer

Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects
Collaborative and inclusive culture that values innovation and diversity
State-of-the-art workspace in Gurgaon with modern amenities
Flexible work arrangements including hybrid work options –3 days in office arrangement
Contribute to BAXTER's mission of saving and sustaining lives worldwide
Work on meaningful projects that directly improve healthcare outcomes
Be part of a Fortune 500 company with global presence and stability

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

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

Sr. AI Architect

We are seeking a highly experienced Sr. AI Architect with 15+ years in data and ...

Location

India , Kochi; Trivandrum

Salary:

Not provided

Experion Technologies

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field
10+ years of experience in AI/ML development with demonstrated leadership in delivering production-grade AI solutions
Deep expertise in machine learning, deep learning, NLP, or computer vision
Experience with model architecture design, feature stores, model monitoring
Strong experience with MLOps, DevOps for ML, and deployment tools (Docker, Kubernetes, MLflow, Airflow)
Solid understanding of cloud AI/ML offerings (Azure ML, SageMaker, Vertex AI)
Proven ability to lead technical teams and manage delivery timelines

Job Responsibility

Define AI/ML solution architecture and oversee implementation across projects using Microsoft Azure & AWS/GCP services
Lead and mentor a team of AI engineers and data scientists
Own the end-to-end lifecycle of AI models – from ideation and data acquisition to deployment and monitoring
Partner with business stakeholders to translate requirements into AI solutions
Evaluate emerging tools, frameworks, and platforms for AI/ML development
Drive standardization, code quality, and best practices across the AI engineering team
Ensure ethical, explainable, and compliant AI practices
Define LLM routing, fallback, and evaluation strategies
Design and implement autonomous AI agents using Azure OpenAI Service and Azure AI Studio
Build multi-agent orchestration systems

Fulltime

Target Validation Sr Director

This research based Senior Director role will be responsible for building, leadi...

Location

United States , South San Francisco

Salary:

265405.00 - 312459.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree PhD in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant discipline and 7 years of scientific leadership experience in biotech, pharma or equivalent research environments
OR Master’s degree in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant discipline and 10 years of scientific leadership experience in biotech, pharma or equivalent research environments
OR Bachelor’s degree in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant disciplineand 12 years of scientific leadership experience in biotech, pharma or equivalent research environments

Job Responsibility

Lead and develop a multidisciplinary organization of ~25 scientists within Research Biology
Integrate diverse experimental disciplines and workflows to ensure coordinated execution and efficient delivery of novel molecular insights
Establish platform priorities, resource allocation, and capacity planning in alignment with Research Biology and Therapeutic Area priorities
Define clear roles, responsibilities, and seamless handoffs across teams and partnering organizations
Drive adoption of automated experimental workflows, and integration of AI/ML to enable efficient experimentation across programs
Serve as a senior scientific partner to Target Discovery and Therapeutic Areas
Set clear expectations and enable scientists with diverse skill sets to collaborate effectively and contribute to early research pipeline
Serve as a core member of Target Discovery Advisory Forum, and play a key role in target discovery, validation and prioritization. Engage, influence, and align therapeutic area stakeholders
Guide team members in synthesizing and communicating complex scientific and data-driven insights to key stakeholders and advisory forum
Contribute to fostering a highly collaborative, creative, dynamic and cutting-edge research environment

What we offer

competitive benefits
collaborative culture
health and welfare plans for staff and eligible dependents
financial plans with opportunities to save towards retirement or other goals
work/life balance
career development opportunities
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts

Fulltime

Sr Eng, Test

This is where new knowledge is discovered. Baxter’s Research and Development tea...

Location

India , Bengaluru

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

4+ years of hands-on experience in AI/ML model testing, validation, or quality engineering
Strong proficiency in Python for model validation and data analysis
Experience validating supervised ML models and/or LLM-based systems
Solid understanding of ML evaluation metrics and validation techniques
Experience with data quality checks, drift detection, and dataset validation
Familiarity with ML pipelines and model lifecycle (training, validation, inference)
Ability to analyze model behavior and explain quality risks clearly
Good communication and collaboration skills

Job Responsibility

Design and execute validation strategies for AI/ML models, including supervised learning models and large language models (LLMs)
Perform functional, regression, and behavioral testing of ML models across versions
Validate model outputs for accuracy, consistency, bias, and edge cases
Evaluate LLM responses for correctness, relevance, hallucinations, and safety
Design and implement data quality validation checks for training, validation, and inference datasets
Detect and analyze data drift and concept drift across model iterations and production data
Validate input data assumptions, feature distributions, and schema consistency
Collaborate with data and ML engineers to identify and resolve data-related issues impacting model performance
Develop Python-based validation scripts and frameworks to automate model evaluation, data validation, and regression testing across model versions
Implement automated checks for model performance metrics (precision, recall, F1, accuracy, etc.)

What we offer

Support for Parents
Continuing Education/ Professional Development
Employee Heath & Well-Being Benefits
Paid Time Off
2 Days a Year to Volunteer

Fulltime

Sr Eng, Test

We are seeking an Senior Automation Engineer with 6+ years strong hands-on expe...

Location

India , Bengaluru

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

4+ years of hands-on experience in AI/ML model testing, validation, or quality engineering
Strong proficiency in Python for model validation and data analysis
Experience validating supervised ML models and/or LLM-based systems
Solid understanding of ML evaluation metrics and validation techniques
Experience with data quality checks, drift detection, and dataset validation
Familiarity with ML pipelines and model lifecycle (training, validation, inference)
Ability to analyze model behavior and explain quality risks clearly
Good communication and collaboration skills

Job Responsibility

Design and execute validation strategies for AI/ML models, including supervised learning models and large language models (LLMs)
Perform functional, regression, and behavioral testing of ML models across versions
Validate model outputs for accuracy, consistency, bias, and edge cases
Evaluate LLM responses for correctness, relevance, hallucinations, and safety
Design and implement data quality validation checks for training, validation, and inference datasets
Detect and analyze data drift and concept drift across model iterations and production data
Validate input data assumptions, feature distributions, and schema consistency
Collaborate with data and ML engineers to identify and resolve data-related issues impacting model performance
Develop Python-based validation scripts and frameworks to automate model evaluation, data validation, and regression testing across model versions
Implement automated checks for model performance metrics (precision, recall, F1, accuracy, etc.)

What we offer

Support for Parents
Continuing Education/ Professional Development
Employee Health & Well-Being Benefits
Paid Time Off
2 Days a Year to Volunteer

Fulltime

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Sr. Data Scientist - AI/ML

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