Telangana Engineer(databricks mlops) Jobs – 57 Open Jobs Today

Data Scientist
Solenis —Hyderabad, Telangana
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Salesforce
- Health insurance
Machine Learning Data Engineer III
Crunchyroll, LLC —Hyderabad, Telangana
- Computer Science
- Master's degree
- Databases
Machine Learning Associate Advisor
The Cigna Group —Hyderabad District, Telangana
- Full-time
- Remote
- Computer Science
- Databases
- AWS
Lead AI Engineer
EPAM Systems, Inc. —Hyderabad, Telangana
- Azure
- System design
- English
- Health insurance
- Paid time off
Principal Data Scientist
Warner Bros. Discovery —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Master's degree
11d
Senior AI Engineer
EPAM Systems, Inc. —Hyderabad, Telangana
- Azure
- System design
- English
- Health insurance
- Paid time off
Sr. Software Engineer
Providence Global Center —Hyderabad, Telangana
- Part-time
- Azure
- DevOps
- SQL
- Health insurance
GenAI Applications Development Manager
Truviq systems —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
Sr Manager GTN Innovation
Amgen —Hyderabad, Telangana
- Microsoft Access
- Azure
- Computer Science
Principal Software Engineer – Clinical Data Foundation
Amgen —Hyderabad, Telangana
- Night shift
- Computer science
- DevOps
- Public speaking
MLOps Manager
Anblicks —Hyderabad, Telangana
- Azure
- Management
- DevOps
Quick apply
Data Architect - Staff Software Engineer
GapTech India —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Databases
Digital R&D Integration Manager
Sanofi —Hyderabad, Telangana
- Hybrid work
- Azure
- Management
- Computer Science
Lead - AI/ ML/ GenAI
Proclink —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- System design
Sr Advanced Data Engr
Honeywell —Hyderabad, Telangana
- Full-time
- Azure
- DevOps
- SQL
Senior Software Engineer - Flutter Functions
Flutter Entertainment —Hyderabad, Telangana
- Hybrid work
- Azure
- DevOps
- Databases
- Health insurance
Data Architect
Gap Inc. —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Databases
- Paid time off
DevOps Engineer – Data Solutions
Texplorers —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- English
Consultant A2 - Data & AI
Microsoft —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
Data & AI - Consultant
Microsoft —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps

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Data Scientist

Solenis -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Benefits

Internet reimbursement
Health insurance

Qualifications

BCS
Law
Doctoral degree
Computer Science
SAP
Salesforce
Supply chain
Git
Master's degree
SQL
Bachelor's degree
Machine learning
Data management
APIs
Predictive analytics
Data science
Manufacturing
AI
Python
Master data management
Data Science

Full job description

Job Title: Data Scientist – Generative AI & Machine Learning

Experience: 5 – 8 Years

Organization: Solenis GSS India

Employment Type: Full-Time | Permanent

Location: Hyderabad, India

Level: Mid-Career

Reports To: Director of Data Strategy or AI Program Lead

About the Role

Solenis GSS India is looking for an experienced and innovative Data Scientist to join our global AI & Data Science team. This role is designed for professionals who are passionate about leveraging Generative AI, Machine Learning, and modern data platforms to solve real-world enterprise challenges.

You will work on cutting-edge initiatives across commercial, supply chain, and customer experience functions, deploying solutions on platforms such as Salesforce AgentForce, Google AgentSpace, Snowflake Cortex AI, Snowflake Document AI, and Databricks AutoML

Key Responsibilities

1. Data Analysis & Interpretation

Analyze large datasets to extract actionable insights.
Use statistical techniques to identify trends, patterns, and anomalies.
Perform exploratory data analysis (EDA) to understand data distributions and relationships.
2. Machine Learning & Modeling

Build, train, and validate predictive models using machine learning algorithms.
Select appropriate modeling techniques based on business problems.
Continuously improve models through feature engineering and hyperparameter tuning.
3. Data Engineering Support

Collaborate with data engineers to ensure data pipelines are robust and scalable.
Clean, transform, and prepare data for analysis and modeling.
Work with structured and unstructured data from various sources.
4. Visualization & Communication

Create dashboards and visualizations to communicate findings to stakeholders.
Translate complex data insights into clear, actionable recommendations.
Present results to both technical and non-technical audiences.
5. Cross-Functional Collaboration

Work closely with product managers, engineers, and business teams.
Understand business objectives and align data science efforts accordingly.
Participate in strategic planning and decision-making processes.
6. Experimentation & A/B Testing

Design and analyze experiments to test hypotheses and measure impact.
Use statistical methods to ensure validity and reliability of results.
7. Data Governance & Ethics

Ensure compliance with data privacy regulations and ethical standards.
Promote responsible AI and fair use of data.

Required Qualifications

5–8 years of experience as a Data Scientist in a large enterprise environment.
Demonstrated experience solving enterprise business problems using AI models, including predictive analytics, intelligent agents, and document intelligence.
Proficiency in Python and SQL; experience with Snowflake, Databricks, and SAP data integration.
Hands-on experience with Generative AI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs) and LLM deployment strategies.
Familiarity with Salesforce AgentForce, Google AgentSpace, and Snowflake Cortex AI is highly desirable.
Experience with MLOps tools and practices such as MLflow, dbt, and Git.

Educational Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
Master’s degree or Ph.D. preferred, especially with a focus on Machine Learning, Artificial Intelligence, or Applied Mathematics.

Preferred Experience

Experience in chemical, manufacturing, or industrial sectors.
Exposure to AI use cases in commercial operations, supply chain, or customer service.
Familiarity with SAP-Salesforce integration tools (e.g., Enosix, MuleSoft).
Understanding of AI governance, data quality, and master data management frameworks.

Why Join Solenis?

You’ll be part of a forward-thinking team driving digital transformation through AI. Solenis is investing in a modern data stack and enterprise-wide AI strategy, with a focus on scalable, secure, and impactful solutions.

What We Offer

Access to a huge array of internal and external training courses (free).
Access to self-paced language training (free).
Birthday or wedding anniversary gift of INR 1500.
Annual charity work day to give back to the community.
Company car/phone (if required for role).
Competitive health & wellness benefit plan.
Continuous professional development with numerous growth opportunities.
Onsite creche facility.
Employee Business Resource Groups (EBRGs).
Electric car charging stations at office.
Hybrid work arrangement (3 days office, 2 days WFH).
Internet allowance.
No-meeting Fridays for focused work.
Free parking on site.
Relocation assistance (if applicable).
Staff hangout spaces – enjoy carrom, chess, and more.
Office well-connected to public transport (just 10 min walk).

Apply Now

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engineer(databricks mlops) jobs in telangana

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Explore jobs in more locations

Job Title: Data Scientist – Generative AI & Machine Learning

Experience: 5 – 8 Years

Organization: Solenis GSS India

Employment Type: Full-Time | Permanent

Location: Hyderabad, India

Level: Mid-Career

Reports To: Director of Data Strategy or AI Program Lead

About the Role

Solenis GSS India is looking for an experienced and innovative Data Scientist to join our global AI & Data Science team. This role is designed for professionals who are passionate about leveraging Generative AI, Machine Learning, and modern data platforms to solve real-world enterprise challenges.

You will work on cutting-edge initiatives across commercial, supply chain, and customer experience functions, deploying solutions on platforms such as Salesforce AgentForce, Google AgentSpace, Snowflake Cortex AI, Snowflake Document AI, and Databricks AutoML

Key Responsibilities

1. Data Analysis & Interpretation

Analyze large datasets to extract actionable insights.

Use statistical techniques to identify trends, patterns, and anomalies.

Perform exploratory data analysis (EDA) to understand data distributions and relationships.

2. Machine Learning & Modeling

Build, train, and validate predictive models using machine learning algorithms.

Select appropriate modeling techniques based on business problems.

Continuously improve models through feature engineering and hyperparameter tuning.

3. Data Engineering Support

Collaborate with data engineers to ensure data pipelines are robust and scalable.

Clean, transform, and prepare data for analysis and modeling.

Work with structured and unstructured data from various sources.

4. Visualization & Communication

Create dashboards and visualizations to communicate findings to stakeholders.

Translate complex data insights into clear, actionable recommendations.

Present results to both technical and non-technical audiences.

5. Cross-Functional Collaboration

Work closely with product managers, engineers, and business teams.

Understand business objectives and align data science efforts accordingly.

Participate in strategic planning and decision-making processes.

6. Experimentation & A/B Testing

Design and analyze experiments to test hypotheses and measure impact.

Use statistical methods to ensure validity and reliability of results.

7. Data Governance & Ethics

Ensure compliance with data privacy regulations and ethical standards.

Promote responsible AI and fair use of data.

Required Qualifications

5–8 years of experience as a Data Scientist in a large enterprise environment.

Demonstrated experience solving enterprise business problems using AI models, including predictive analytics, intelligent agents, and document intelligence.

Proficiency in Python and SQL; experience with Snowflake, Databricks, and SAP data integration.

Hands-on experience with Generative AI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs) and LLM deployment strategies.

Familiarity with Salesforce AgentForce, Google AgentSpace, and Snowflake Cortex AI is highly desirable.

Experience with MLOps tools and practices such as MLflow, dbt, and Git.

Educational Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

Master’s degree or Ph.D. preferred, especially with a focus on Machine Learning, Artificial Intelligence, or Applied Mathematics.

Preferred Experience

Experience in chemical, manufacturing, or industrial sectors.

Exposure to AI use cases in commercial operations, supply chain, or customer service.

Familiarity with SAP-Salesforce integration tools (e.g., Enosix, MuleSoft).

Understanding of AI governance, data quality, and master data management frameworks.

Why Join Solenis?

You’ll be part of a forward-thinking team driving digital transformation through AI. Solenis is investing in a modern data stack and enterprise-wide AI strategy, with a focus on scalable, secure, and impactful solutions.

What We Offer

Access to a huge array of internal and external training courses (free).

Access to self-paced language training (free).

Birthday or wedding anniversary gift of INR 1500.

Annual charity work day to give back to the community.

Company car/phone (if required for role).

Competitive health & wellness benefit plan.

Continuous professional development with numerous growth opportunities.

Onsite creche facility.

Employee Business Resource Groups (EBRGs).

Electric car charging stations at office.

Hybrid work arrangement (3 days office, 2 days WFH).

Internet allowance.

No-meeting Fridays for focused work.

Free parking on site.

Relocation assistance (if applicable).

Staff hangout spaces – enjoy carrom, chess, and more.

Office well-connected to public transport (just 10 min walk).